Hybrid and multicloud secure networking architecture patterns

Last reviewed 2023-12-14 UTC

This document is the third of three documents in a set. It discusses hybrid and multicloud networking architecture patterns. This part explores several common secure network architecture patterns that you can use for hybrid and multicloud architectures. It describes the scenarios that these networking patterns are best suited for, and provides best practices for implementing them with Google Cloud.

The document set for hybrid and multicloud architecture patterns consists of these parts:

  • Build hybrid and multicloud architectures: discusses planning a strategy for architecting a hybrid and multicloud setup with Google Cloud.
  • Hybrid and multicloud architecture patterns: discusses common architecture patterns to adopt as part of a hybrid and multicloud strategy.
  • Hybrid and multicloud secure networking architecture patterns: discusses hybrid and multicloud networking architecture patterns from a networking perspective (this document).

Connecting private computing environments to Google Cloud securely and reliably is essential for any successful hybrid and multicloud architecture. The hybrid networking connectivity and cloud networking architecture pattern you choose for a hybrid and multicloud setup must meet the unique requirements of your enterprise workloads. It must also suit the architecture patterns you intend to apply. Although you might need to tailor each design, there are common patterns you can use as a blueprint.

The networking architecture patterns in this document shouldn't be considered alternatives to the landing zone design in Google Cloud. Instead, you should design and deploy the architecture patterns you select as part of the overall Google Cloud landing zone design, which spans the following areas:

  • Identities
  • Resource management
  • Security
  • Networking
  • Monitoring

Different applications can use different networking architecture patterns, which are incorporated as part of a landing zone architecture. In a multicloud setup, you should maintain the consistency of the landing zone design across all environments.

This series contains the following pages:

Contributors

Author: Marwan Al Shawi | Partner Customer Engineer

Other contributors:

Architecture patterns

The documents in this series discuss networking architecture patterns that are designed based on the required communication models between applications residing in Google Cloud and in other environments (on-premises, in other clouds, or both).

These patterns should be incorporated into the overall organization landing zone architecture, which can include multiple networking patterns to address the specific communication and security requirements of different applications.

The documents in this series also discuss the different design variations that can be used with each architecture pattern. The following networking patterns can help you to meet communication and security requirements for your applications:

Mirrored pattern

The mirrored pattern is based on replicating the design of a certain existing environment or environments to a new environment or environments. Therefore, this pattern applies primarily to architectures that follow the environment hybrid pattern. In that pattern, you run your development and testing workloads in one environment while you run your staging and production workloads in another.

The mirrored pattern assumes that testing and production workloads aren't supposed to communicate directly with one another. However, it should be possible to manage and deploy both groups of workloads in a consistent manner.

If you use this pattern, connect the two computing environments in a way that aligns with the following requirements:

  • Continuous integration/continuous deployment (CI/CD) can deploy and manage workloads across all computing environments or specific environments.
  • Monitoring, configuration management, and other administrative systems should work across computing environments.
  • Workloads can't communicate directly across computing environments. If necessary, communication has to be in a fine-grained and controlled fashion.

Architecture

The following architecture diagram shows a high level reference architecture of this pattern that supports CI/CD, Monitoring, configuration management, other administrative systems, and workload communication:

Data flows between a CI/CD and an admin VPC in Google Cloud and an on-premises production environment. Data also flows between the CI/CD-VPC and development and testing environments within Google Cloud.

The description of the architecture in the preceding diagram is as follows:

  • Workloads are distributed based on the functional environments (development, testing, CI/CD and administrative tooling) across separate VPCs on the Google Cloud side.
  • Shared VPC is used for development and testing workloads. An extra VPC is used for the CI/CD and administrative tooling. With shared VPCs:
    • The applications are managed by different teams per environment and per service project.
    • The host project administers and controls the network communication and security controls between the development and test environments—as well as to outside the VPC.
  • CI/CD VPC is connected to the network running the production workloads in your private computing environment.
  • Firewall rules permit only allowed traffic.
    • You might also use Cloud Next Generation Firewall Enterprise with intrusion prevention service (IPS) to implement deep packet inspection for threat prevention without changing the design or routing. Cloud Next Generation Firewall Enterprise works by creating Google-managed zonal firewall endpoints that use packet intercept technology to transparently inspect the workloads for the configured threat signatures. It also protects workloads against threats.
  • Enables communication among the peered VPCs using internal IP addresses.
    • The peering in this pattern allows CI/CD and administrative systems to deploy and manage development and testing workloads.
  • Consider these general best practices.

You establish this CI/CD connection by using one of the discussed hybrid and multicloud networking connectivity options that meet your business and applications requirements. To let you deploy and manage production workloads, this connection provides private network reachability between the different computing environments. All environments should have overlap-free RFC 1918 IP address space.

If the instances in the development and testing environments require internet access, consider the following options:

  • You can deploy Cloud NAT into the same Shared VPC host project network. Deploying into the same Shared VPC host project network helps to avoid making these instances directly accessible from the internet.
  • For outbound web traffic, you can use Secure Web Proxy. The proxy offers several benefits.

For more information about the Google Cloud tools and capabilities that help you to build, test, and deploy in Google Cloud and across hybrid and multicloud environments, see the DevOps and CI/CD on Google Cloud explained blog.

Variations

To meet different design requirements, while still considering all communication requirements, the mirrored architecture pattern offers these options, which are described in the following sections:

Shared VPC per environment

The shared VPC per environment design option allows for application- or service-level separation across environments, including CI/CD and administrative tools that might be required to meet certain organizational security requirements. These requirements limit communication, administrative domain, and access control for different services that also need to be managed by different teams.

This design achieves separation by providing network- and project-level isolation between the different environments, which enables more fine-grained communication and Identity and Access Management (IAM) access control.

From a management and operations perspective, this design provides the flexibility to manage the applications and workloads created by different teams per environment and per service project. VPC networking, and its security features can be provisioned and managed by networking operations teams based on the following possible structures:

  • One team manages all host projects across all environments.
  • Different teams manage the host projects in their respective environments.

Decisions about managing host projects should be based on the team structure, security operations, and access requirements of each team. You can apply this design variation to the Shared VPC network for each environment landing zone design option. However, you need to consider the communication requirements of the mirrored pattern to define what communication is allowed between the different environments, including communication over the hybrid network.

You can also provision a Shared VPC network for each main environment, as illustrated in the following diagram:

VPC peering in Google Cloud shares data between development and test environments and CI/CD and administrative subnets. The subnets share data between Google Cloud and an on-premises environment.

Centralized application layer firewall

In some scenarios, the security requirements might mandate the consideration of application layer (Layer 7) and deep packet inspection with advanced firewalling mechanisms that exceed the capabilities of Cloud Next Generation Firewall. To meet the security requirements and standards of your organization, you can use an NGFW appliance hosted in a network virtual appliance (NVA). Several Google Cloud security partners offer options well suited to this task.

As illustrated in the following diagram, you can place the NVA in the network path between Virtual Private Cloud and the private computing environment using multiple network interfaces.

VPC peering in Google Cloud shares data between development and test environments and CI/CD and administrative subnets. The subnets share data between Google Cloud and an on-premises environment through a transit VPC network.

This design also can be used with multiple shared VPCs as illustrated in the following diagram.

VPC peering in Google Cloud shares data between development and test environments and CI/CD and administrative subnets. The subnets use an NVA to share data between Google Cloud and an on-premises environment through a transit VPC network.

The NVA in this design acts as the perimeter security layer. It also serves as the foundation for enabling inline traffic inspection and enforcing strict access control policies.

For a robust multilayer security strategy that includes VPC firewall rules and intrusion prevention service capabilities, include further traffic inspection and security control to both east-west and north-south traffic flows.

Hub-and-spoke topology

Another possible design variation is to use separate VPCs (including shared VPCs) for your development and different testing stages. In this variation, as shown in the following diagram, all stage environments connect with the CI/CD and administrative VPC in a hub-and-spoke architecture. Use this option if you must separate the administrative domains and the functions in each environment. The hub-and-spoke communication model can help with the following requirements:

  • Applications need to access a common set of services, like monitoring, configuration management tools, CI/CD, or authentication.
  • A common set of security policies needs to be applied to inbound and outbound traffic in a centralized manner through the hub.

For more information about hub-and-spoke design options, see Hub-and-spoke topology with centralized appliances and Hub-and-spoke topology without centralized appliances.

Development and test environments share data with a hub VPC CI/CD and an admin VPC to an on-premises environment.

As shown in the preceding diagram, the inter-VPC communication and hybrid connectivity all pass through the hub VPC. As part of this pattern, you can control and restrict the communication at the hub VPC to align with your connectivity requirements.

As part of the hub-and-spoke network architecture the following are the primary connectivity options (between the spokes and hub VPCs) on Google Cloud:

For more information on which option you should consider in your design, see Hub-and-spoke network architecture. A key influencing factor for selecting VPN over VPC peering between the spokes and the hub VPC is when traffic transitivity is required. Traffic transitivity means that traffic from a spoke can reach other spokes through the hub.

Microservices zero trust distributed architecture

Hybrid and multicloud architectures can require multiple clusters to achieve their technical and business objectives, including separating the production environment from the development and testing environments. Therefore, network perimeter security controls are important, especially when they're required to comply with certain security requirements.

It's not enough to support the security requirements of current cloud-first distributed microservices architectures, you should also consider zero trust distributed architectures. The microservices zero trust distributed architecture supports your microservices architecture with microservice level security policy enforcement, authentication, and workload identity. Trust is identity-based and enforced for each service.

By using a distributed proxy architecture, such as a service mesh, services can effectively validate callers and implement fine-grained access control policies for each request, enabling a more secure and scalable microservices environment. Anthos Service Mesh gives you the flexibility to have a common mesh that can span your Google Cloud and on-premises deployments. The mesh uses authorization policies to help secure service-to-service communications.

You might also incorporate Apigee Adapter for Envoy, which is a lightweight Apigee API gateway deployment within a Kubernetes cluster, with this architecture. Apigee Adapter for Envoy is an open source edge and service proxy that's designed for cloud-first applications.

Data flows between services in Google Cloud and an on-premises environment through a distributed proxy architecture.

For more information about this topic, see the following articles:

Mirrored pattern best practices

  • The CI/CD systems required for deploying or reconfiguring production deployments must be highly available, meaning that all architecture components must be designed to provide the expected level of system availability. For more information, see Google Cloud infrastructure reliability.

  • To eliminate configuration errors for repeated processes like code updates, automation is essential to standardize your builds, tests, and deployments. To learn more about how to use various checks and guards as you automate, see Automate your deployments.

  • The integration of centralized NVAs in this design might require the incorporation of multiple segments with varying levels of security access controls. For more information, see Centralized network appliances on Google Cloud.

  • When designing a solution that includes NVAs, it's important to consider the high availability (HA) of the NVAs to avoid a single point of failure that could block all communication. Follow the HA and redundancy design and implementation guidance provided by your NVA vendor. For more information, see the architecture options section of Centralized network appliances on Google Cloud for achieving high availability between virtual appliances.

  • By not exporting on-premises IP routes over VPC peering or VPN to the development and testing VPC, you can restrict network reachability from development and testing environments to the on-premises environment. For more information, see VPC Network Peering custom route exchange.

  • For workloads with private IP addressing that can require Google's APIs access, you can expose Google APIs by using a Private Service Connect endpoint within a VPC network. For more information, see Gated ingress, in this series.

  • Review the general best practices for hybrid and multicloud networking architecture patterns.

Meshed pattern

The meshed pattern is based on establishing a hybrid network architecture. That architecture spans multiple computing environments. In these environments, all systems can communicate with one another and aren't limited to one-way communication based on the security requirements of your applications. This networking pattern applies primarily to tiered hybrid, partitioned multicloud, or bursting architectures. It's also applicable to business continuity design to provision a disaster recovery (DR) environment in Google Cloud. In all cases, it requires that you connect computing environments in a way that align with the following communication requirements:

  • Workloads can communicate with one another across environment boundaries using private RFC 1918 IP addresses.
  • Communication can be initiated from either side. The specifics of the communications model can vary based on the applications and security requirements, such as the communication models discussed in the design options that follow.
  • The firewall rules that you use must allow traffic between specific IP address sources and destinations based on the requirements of the application, or applications, for which the pattern is designed. Ideally, you can use a multi-layered security approach to restrict traffic flows in a fine-grained fashion, both between and within computing environments.

Architecture

The following diagram illustrates a high level reference architecture of the meshed pattern.

Data in a hybrid network architecture flows from two subnets in Google Cloud to a workload in an on-premises environment.

  • All environments should use an overlap-free RFC 1918 IP address space.
  • On the Google Cloud side, you can deploy workloads into a single or multiple shared VPCs or non-shared VPCs. For other possible design options of this pattern, refer to the design variations that follow. The selected structure of your VPCs should align with the projects and resources hierarchy design of your organization.
  • The VPC network of Google Cloud extends to other computing environments. Those environments can be on-premises or in another cloud. Use one of the hybrid and multicloud networking connectivity options that meet your business and application requirements.

  • Limit communications to only the allowed IP addresses of your sources and destinations. Use any of the following capabilities, or a combination of them:

Variations

The meshed architecture pattern can be combined with other approaches to meet different design requirements, while still considering the communication requirements of the pattern. The pattern options are described in the following sections:

One VPC per environment

The common reasons to consider the one-VPC-per-environment option are as follows:

  • The cloud environment requires network-level separation of the VPC networks and resources, in alignment with your organization's resource hierarchy design. If administrative domain separation is required, it can also be combined with a separate project per environment.
    • To centrally manage network resources in a common network and provide network isolation between the different environments, use a shared VPC for each environment that you have in Google Cloud, such as development, testing, and production.
  • Scale requirements that might need to go beyond the VPC quotas for a single VPC or project.

As illustrated in the following diagram, the one-VPC-per-environment design lets each VPC integrate directly with the on-premises environment or other cloud environments using VPNs, or a Cloud Interconnect with multiple VLAN attachments.

Data in a hybrid network architecture with one VPC in each environment flows from two subnets in Google Cloud to a workload in an on-premises environment.

The pattern displayed in the preceding diagram can be applied on a landing zone hub-and-spoke network topology. In that topology, a single (or multiple) hybrid connection can be shared with all spoke VPCs. It's shared by using a transit VPC to terminate both the hybrid connectivity and the other spoke VPCs. You can also expand this design by adding NVA with next-generation firewall (NGFW) inspection capabilities at the transit VPC, as described in the next section, "Use a centralized application layer firewall."

Use a centralized application layer firewall

If your technical requirements mandate considering application layer (Layer 7) and deep packet inspection with advanced firewalling capabilities that exceed the capabilities of Cloud Next Generation Firewall, you can use an NGFW appliance hosted in an NVA. However, that NVA must meet the security needs of your organization. To implement these mechanisms, you can extend the topology to pass all cross-environment traffic through a centralized NVA firewall, as shown in the following diagram.

You can apply the pattern in the following diagram on the landing zone design by using a hub-and-spoke topology with centralized appliances:

Data from two shared VPCs in Google Cloud flow through an NVA to a transit VPC network over to a workload in an on-premises environment.

As shown in the preceding diagram, The NVA acts as the perimeter security layer and serves as the foundation for enabling inline traffic inspection. It also enforces strict access control policies. To inspect both east-west and north-south traffic flows, the design of a centralized NVA might include multiple segments with different levels of security access controls.

Microservices zero trust distributed architecture

When containerized applications are used, the microservices zero trust distributed architecture discussed in the mirrored pattern section is also applicable to this architecture pattern.

The key difference between this pattern and the mirrored pattern is that the communication model between workloads in Google Cloud and other environments can be initiated from either side. Traffic must be controlled and fine-grained, based on the application requirements and security requirements using Service Mesh.

Meshed pattern best practices

  • Before you do anything else, decide on your resource hierarchy design, and the design required to support any project and VPC. Doing so can help you select the optimal networking architecture that aligns with the structure of your Google Cloud projects.
  • Use a zero trust distributed architecture when using Kubernetes within your private computing environment and Google Cloud.

  • When you use centralized NVAs in your design, you should define multiple segments with different levels of security access controls and traffic inspection policies. Base these controls and policies on the security requirements of your applications. For more information, see Centralized network appliances on Google Cloud.

  • When designing a solution that includes NVAs, it's important to consider the high availability (HA) of the NVAs to avoid a single point of failure that could block all communication. Follow the HA and redundancy design and implementation guidance provided by the Google Cloud security vendor that supplies your NVAs.

  • To provide increased privacy, data integrity, and a controlled communication model, expose applications through APIs using API gateways, like Apigee and Apigee hybrid with end-to-end mTLS. You can also use a shared VPC with Apigee in the same organization resource.

  • If the design of your solution requires exposing a Google Cloud based application to the public internet, consider the design recommendations discussed in Networking for internet-facing application delivery.

  • To help protect Google Cloud services in your projects, and to help mitigate the risk of data exfiltration, use VPC Service Controls to specify service perimeters at the project or VPC network level. Also, you can extend service perimetersto a hybrid environment over an authorized VPN or Cloud Interconnect. For more information about the benefits of service perimeters, see Overview of VPC Service Controls.

  • Review the general best practices for hybrid and multicloud networking patterns.

If you intend to enforce stricter isolation and more fine-grained access between your applications hosted in Google Cloud, and in other environments, consider using one of the gated patterns that are discussed in the other documents in this series.

Gated patterns

The gated pattern is based on an architecture that exposes select applications and services in a fine-grained manner, based on specific exposed APIs or endpoints between the different environments. This guide categorizes this pattern into three possible options, each determined by the specific communication model:

As previously mentioned in this guide, the networking architecture patterns described here can be adapted to various applications with diverse requirements. To address the specific needs of different applications, your main landing zone architecture might incorporate one pattern or a combination of patterns simultaneously. The specific deployment of the selected architecture is determined by the specific communication requirements of each gated pattern.

This series discusses each gated pattern and its possible design options. However, one common design option applicable to all gated patterns is the Zero Trust Distributed Architecture for containerized applications with microservice architecture. This option is powered by Anthos Service Mesh, Apigee, and Apigee Adapter for Envoy—a lightweight Apigee gateway deployment within a Kubernetes cluster. Apigee Adapter for Envoy is a popular, open source edge and service proxy that's designed for cloud-first applications. This architecture controls allowed secure service-to-service communications and the direction of communication at a service level. Traffic communication policies can be designed, fine-tuned, and applied at the service level based on the selected pattern.

Gated patterns allow for the implementation of Cloud Next Generation Firewall Enterprise with intrusion prevention service (IPS) to perform deep packet inspection for threat prevention without any design or routing modifications. That inspection is subject to the specific applications being accessed, the communication model, and the security requirements. If security requirements demand Layer 7 and deep packet inspection with advanced firewalling mechanisms that surpass the capabilities of Cloud Next Generation Firewall, you can use a centralized next generation firewall (NGFW) hosted in a network virtual appliance (NVA). Several Google Cloud security partners offer NGFW appliances that can meet your security requirements. Integrating NVAs with these gated patterns can require introducing multiple security zones within the network design, each with distinct access control levels. For more information, see Centralized network appliances on Google Cloud.

Gated egress

The architecture of the gated egress networking pattern is based on exposing select APIs from the on-premises environment or another cloud environment to workloads that are deployed in Google Cloud. It does so without directly exposing them to the public internet from an on-premises environment or from other cloud environments. You can facilitate this limited exposure through an API gateway or proxy, or a load balancer that serves as a facade for existing workloads. You can deploy the API gateway functionality in an isolated perimeter network segment, like a perimeter network.

The gated egress networking pattern applies primarily to (but isn't limited to) tiered application architecture patterns and partitioned application architecture patterns. When deploying backend workloads within an internal network, gated egress networking helps to maintain a higher level of security within your on-premises computing environment. The pattern requires that you connect computing environments in a way that meets the following communication requirements:

  • Workloads that you deploy in Google Cloud can communicate with the API gateway or load balancer (or a Private Service Connect endpoint) that exposes the application by using internal IP addresses.
  • Other systems in the private computing environment can't be reached directly from within Google Cloud.
  • Communication from the private computing environment to any workloads deployed in Google Cloud isn't allowed.
  • Traffic to the private APIs in other environments is only initiated from within the Google Cloud environment.

The focus of this guide is on hybrid and multicloud environments connected over a private hybrid network. If the security requirements of your organization permit it, API calls to remote target APIs with public IP addresses can be directly reached over the internet. But you must consider the following security mechanisms:

  • API OAuth 2.0 with Transport Layer Security (TLS).
  • Rate limiting.
  • Threat protection policies.
  • Mutual TLS configured to the backend of your API layer.
  • IP address allowlist filtering configured to only allow communication with predefined API sources and destinations from both sides.

To secure an API proxy, consider these other security aspects. For more information, see Best practices for securing your applications and APIs using Apigee.

Architecture

The following diagram shows a reference architecture that supports the communication requirements listed in the previous section:

Data flows in one direction from a host project in Google Cloud to a workload in an on-premises environment.

Data flows through the preceding diagram as follows:

  • On the Google Cloud side, you can deploy workloads into virtual private clouds (VPCs). The VPCs can be single or multiple (shared or non-shared). The deployment should be in alignment with the projects and resource hierarchy design of your organization.
  • The VPC networks of the Google Cloud environment are extended to the other computing environments. The environments can be on-premises or in another cloud. To facilitate the communication between environments using internal IP addresses, use a suitable hybrid and multicloud networking connectivity.

  • To limit the traffic that originates from specific VPC IP addresses, and is destined for remote gateways or load balancers, use IP address allowlist filtering. Return traffic from these connections is allowed when using stateful firewall rules. You can use any combination of the following capabilities to secure and limit communications to only the allowed source and destination IP addresses:

  • All environments share overlap-free RFC 1918 IP address space.

Variations

The gated egress architecture pattern can be combined with other approaches to meet different design requirements that still consider the communication requirements of this pattern. The pattern offers the following options:

Use Google Cloud API gateway and global frontend

Data flowing in Google Cloud from Apigee to a customer project VPC and then out of Cloud to an on-premises environment or another cloud instance.

With this design approach, API exposure and management reside within Google Cloud. As shown in the preceding diagram, you can accomplish this through the implementation of Apigee as the API platform. The decision to deploy an API gateway or load balancer in the remote environment depends on your specific needs and current configuration. Apigee provides two options for provisioning connectivity:

  • With VPC peering
  • Without VPC peering

Google Cloud global frontend capabilities like Cloud Load Balancing, Cloud CDN (when accessed over Cloud Interconnect), and Cross-Cloud Interconnect enhance the speed with which users can access applications that have backends hosted in your on-premises environments and in other cloud environments.

Optimizing content delivery speeds is achieved by delivering those applications from Google Cloud points of presence (PoP). Google Cloud PoPs are present on over 180 internet exchanges and at over 160 interconnection facilities around the world.

To see how PoPs help to deliver high-performing APIs when using Apigee with Cloud CDN to accomplish the following, watch Delivering high-performing APIs with Apigee and Cloud CDN on YouTube:

  • Reduce latency.
  • Host APIs globally.
  • Increase availability for peak traffic.

The design example illustrated in the preceding diagram is based on Private Service Connect without VPC peering.

The northbound network in this design is established through:

  • A load balancer (LB in the diagram), where client requests terminate, processes the traffic and then routes it to a Private Service Connect backend.
  • A Private Service Connect backend lets a Google Cloud load balancer send clients requests over a Private Service Connect connection associated with a producer service attachment to the published service (Apigee runtime instance) using Private Service Connect network endpoint groups (NEGs).

The southbound networking is established through:

  • A Private Service Connect endpoint that references a service attachment associated with an internal load balancer (ILB in the diagram) in the customer VPC.

  • The ILB is deployed with hybrid connectivity network endpoint groups (hybrid connectivity NEGs).

  • Hybrid services are accessed through the hybrid connectivity NEG over a hybrid network connectivity, like VPN or Cloud Interconnect.

For more information, see Set up a regional internal proxy Network Load Balancer with hybrid connectivity and Private Service Connect deployment patterns.

Expose remote services using Private Service Connect

Data flowing from Google Cloud to an on-premises environment or another cloud, after originating from a workload in a VPC, and traveling through Cloud Load Balancing, a hybrid connectivity NEG, and a Cloud VPN or interconnect.

Use the Private Service Connect option to expose remote services for the following scenarios:

  • You aren't using an API platform or you want to avoid connecting your entire VPC network directly to an external environment for the following reasons:
    • You have security restrictions or compliance requirements.
    • You have an IP address range overlap, such as in a merger and acquisition scenario.
  • To enable secure uni-directional communications between clients, applications, and services across the environments even when you have a short deadline.
  • You might need to provide connectivity to multiple consumer VPCs through a service-producer VPC (transit VPC) to offer highly scalable multi-tenant or single-tenant service models, to reach published services on other environments.

Using Private Service Connect for applications that are consumed as APIs provides an internal IP address for the published applications, enabling secure access within the private network across regions and over hybrid connectivity. This abstraction facilitates the integration of resources from diverse clouds and on-premises environments over a hybrid and multicloud connectivity model. You can accelerate application integration and securely expose applications that reside in an on-premises environment, or another cloud environment, by using Private Service Connect to publish the service with fine-grained access. In this case, you can use the following option:

In the preceding diagram, the workloads in the VPC network of your application can reach the hybrid services running in your on-premises environment, or in other cloud environments, through the Private Service Connect endpoint, as illustrated in the following diagram. This design option for uni-directional communications provides an alternative option to peering to a transit VPC.

Data flowing through and between multiple VPCs inside Google Cloud before exiting through a Cloud VPN or Cloud Interconnect and into an on-premises environment or another cloud.

As part of the design in the preceding diagram, multiple frontends, backends, or endpoints can connect to the same service attachment, which lets multiple VPC networks or multiple consumers access the same service. As illustrated in the following diagram, you can make the application accessible to multiple VPCs. This accessibility can help in multi-tenant services scenarios where your service is consumed by multiple consumer VPCs even if their IP address ranges overlap.

IP address overlap is one of most common issues when integrating applications that reside in different environments. The Private Service Connect connection in the following diagram helps to avoid the IP address overlap issue. It does so without requiring provisioning or managing any additional networking components, like Cloud NAT or an NVA, to perform the IP address translation. For an example configuration, see Publish a hybrid service by using Private Service Connect.

The design has the following advantages:

  • Avoids potential shared scaling dependencies and complex manageability at scale.
  • Improves security by providing fine-grained connectivity control.
  • Reduces IP address coordination between the producer and consumer of the service and the remote external environment.

The design approach in the preceding diagram can expand at later stages to integrate Apigee as the API platform by using the networking design options discussed earlier, including the Private Service Connect option.

You can make the Private Service Connect endpoint accessible from other regions by using Private Service Connect global access.

The client connecting to the Private Service Connect endpoint can be in the same region as the endpoint or in a different region. This approach might be used to provide high availability across services hosted in multiple regions, or to access services available in a single region from other regions. When a Private Service Connect endpoint is accessed by resources hosted in other regions, inter-regional outbound charges apply to the traffic destined to endpoints with global access.

Best practices

  • Considering Apigee and Apigee Hybrid as your API platform solution offers several benefits. It provides a proxy layer, and an abstraction or facade, for your backend service APIs combined with security capabilities, rate limiting, quotas, and analytics.
  • VPCs and project design in Google Cloud should be driven by your resource hierarchy and your secure communication model requirements.
  • When APIs with API gateways are used, you should also use an IP address allowlist. An allowlist limits communications to the specific IP address sources and destinations of the API consumers and API gateways that might be hosted in different environments.
  • Use VPC firewall rules or firewall policies to control access to Private Service Connect resources through the Private Service Connect endpoint.
  • If an application is exposed externally through an application load balancer, consider using Google Cloud Armor as an extra layer of security to protect against DDoS and application layer security threats.

  • If instances require internet access, use Cloud NAT in the application (consumer) VPC to allow workloads to access the internet. Doing so lets you avoid assigning VM instances with external public IP addresses in systems that are deployed behind an API gateway or a load balancer.

  • Review the general best practices for hybrid and multicloud networking patterns.

Gated ingress

The architecture of the gated ingress pattern is based on exposing select APIs of workloads running in Google Cloud to the private computing environment without exposing them to the public internet. This pattern is the counterpart to the gated egress pattern and is well suited for edge hybrid, tiered hybrid, and partitioned multicloud scenarios.

Like with the gated egress pattern, you can facilitate this limited exposure through an API gateway or load balancer that serves as a facade for existing workloads or services. Doing so makes it accessible to private computing environments, on-premises environments, or on other cloud environment, as follows:

  • Workloads that you deploy in the private computing environment or other cloud environments are able to communicate with the API gateway or load balancer by using internal IP addresses. Other systems deployed in Google Cloud can't be reached.
  • Communication from Google Cloud to the private computing environment or to other cloud environments isn't allowed. Traffic is only initiated from the private environment or other cloud environments to the APIs in Google Cloud.

Architecture

The following diagram shows a reference architecture that meets the requirements of the gated ingress pattern.

Data flowing in one direction from an on-premises environment or a cloud through a Cloud VPN or Cloud Interconnect into a Google Cloud environment and ending up in a workload.

The description of the architecture in the preceding diagram is as follows:

  • On the Google Cloud side, you deploy workloads into an application VPC (or multiple VPCs).
  • The Google Cloud environment network extends to other computing environments (on-premises or on another cloud) by using hybrid or multicloud network connectivity to facilitate the communication between environments.
  • Optionally, you can use a transit VPC to accomplish the following:
    • Provide additional perimeter security layers to allow access to specific APIs outside of your application VPC.
    • Route traffic to the IP addresses of the APIs. You can create VPC firewall rules to prevent some sources from accessing certain APIs through an endpoint.
    • Inspect Layer 7 traffic at the transit VPC by integrating a network virtual appliance (NVA).
  • Access APIs through an API gateway or a load balancer (proxy or application load balancer) to provide a proxy layer, and an abstraction layer or facade for your service APIs. If you need to distribute traffic across multiple API gateway instances, you could use an internal passthrough Network Load Balancer.
  • Provide limited and fine-grained access to a published service through a Private Service Connect endpoint by using a load balancer through Private Service Connect to expose an application or service.
  • All environments should use an overlap-free RFC 1918 IP address space.

The following diagram illustrates the design of this pattern using Apigee as the API platform.

Data flows into a Google Cloud environment and is delivered into a project in an Apigee instance from an on-premises or cloud environment through a Cloud VPN or Cloud Interconnect.

In the preceding diagram, using Apigee as the API platform provides the following features and capabilities to enable the gated ingress pattern:

  • Gateway or proxy functionality
  • Security capabilities
  • Rate limiting
  • Analytics

In the design:

  • The northbound networking connectivity (for traffic coming from other environments) passes through a Private Service Connect endpoint in your application VPC that's associated with the Apigee VPC.
  • At the application VPC, an internal load balancer is used to expose the application APIs through a Private Service Connect endpoint presented in the Apigee VPC. For more information, see Architecture with VPC peering disabled.

  • Configure firewall rules and traffic filtering at the application VPC. Doing so provides fine-grained and controlled access. It also helps stop systems from directly reaching your applications without passing through the Private Service Connect endpoint and API gateway.

    Also, you can restrict the advertisement of the internal IP address subnet of the backend workload in the application VPC to the on-premises network to avoid direct reachability without passing through the Private Service Connect endpoint and the API gateway.

Certain security requirements might require perimeter security inspection outside the application VPC, including hybrid connectivity traffic. In such cases, you can incorporate a transit VPC to implement additional security layers. These layers, like next generation firewalls (NGFWs) NVAs with multiple network interfaces, or Cloud Next Generation Firewall Enterprise with intrusion prevention service (IPS), perform deep packet inspection outside of your application VPC, as illustrated in the following diagram:

Data flows into a Google Cloud environment and is delivered into an application from an on-premises or cloud environment through a Cloud VPN or Cloud Interconnect.

As illustrated in the preceding diagram:

  • The northbound networking connectivity (for traffic coming from other environments) passes through a separate transit VPC toward the Private Service Connect endpoint in the transit VPC that's associated with the Apigee VPC.
  • At the application VPC, an internal load balancer (ILB in the diagram) is used to expose the application through a Private Service Connect endpoint in the Apigee VPC.

You can provision several endpoints in the same VPC network, as shown in the following diagram. To cover different use cases, you can control the different possible network paths using Cloud Router and VPC firewall rules. For example, If you're connecting your on-premises network to Google Cloud using multiple hybrid networking connections, you could send some traffic from on-premises to specific Google APIs or published services over one connection and the rest over another connection. Also, you can use Private Service Connect global access to provide failover options.

Data flows into a Google Cloud environment and is delivered through multiple Private Service Connect endpoints to multiple producer VPCs from an on-premises or cloud environment through a Cloud VPN or Cloud Interconnect.

Variations

The gated ingress architecture pattern can be combined with other approaches to meet different design requirements, while still considering the communication requirements of the pattern. The pattern offers the following options:

Access Google APIs from other environments

For scenarios requiring access to Google services, like Cloud Storage or BigQuery, without sending traffic over the public internet, Private Service Connect offers a solution. As shown in the following diagram, it enables reachability to the supported Google APIs and services (including Google Maps, Google Ads, and Google Cloud) from on-premises or other cloud environments through a hybrid network connection using the IP address of the Private Service Connect endpoint. For more information about accessing Google APIs through Private Service Connect endpoints, see About accessing Google APIs through endpoints.

Data flows from an on-premises environment to Google services into a Google Cloud environment.

In the preceding diagram, your on-premises network must be connected to the transit (consumer) VPC network using either Cloud VPN tunnels or a Cloud Interconnect VLAN attachment.

Google APIs can be accessed by using endpoints or backends. Endpoints let you target a bundle of Google APIs. Backends let you target a specific regional Google API.

Expose application backends to other environments using Private Service Connect

In specific scenarios, as highlighted by the tiered hybrid pattern, you might need to deploy backends in Google Cloud while maintaining frontends in private computing environments. While less common, this approach is applicable when dealing with heavyweight, monolithic frontends that might rely on legacy components. Or, more commonly, when managing distributed applications across multiple environments, including on-premises and other clouds, that require connectivity to backends hosted in Google Cloud over a hybrid network.

In such an architecture, you can use a local API gateway or load balancer in the private on-premises environment, or other cloud environments, to directly expose the application frontend to the public internet. Using Private Service Connect in Google Cloud facilitates private connectivity to the backends that are exposed through a Private Service Connect endpoint, ideally using predefined APIs, as illustrated in the following diagram:

Data flows into a Google Cloud environment from an on-premises environment or another cloud environment. The data flows through an Apigee instance and a frontend service in the non-Google Cloud environment and ends up in a customer project application VPC.

The design in the preceding diagram uses an Apigee Hybrid deployment consisting of a management plane in Google Cloud and a runtime plane hosted in your other environment. You can install and manage the runtime plane on a distributed API gateway on one of the supported Kubernetes platforms in your on-premises environment or in other cloud environments. Based on your requirements for distributed workloads across Google Cloud and other environments, you can use Apigee on Google Cloud with Apigee Hybrid. For more information, see Distributed API gateways.

Use a hub and spoke architecture to expose application backends to other environments

Exposing APIs from application backends hosted in Google Cloud across different VPC networks might be required in certain scenarios. As illustrated in the following diagram, a hub VPC serves as a central point of interconnection for the various VPCs (spokes), enabling secure communication over private hybrid connectivity. Optionally, local API gateway capabilities in other environments, such as Apigee Hybrid, can be used to terminate client requests locally where the application frontend is hosted.

Data flows between a Google Cloud environment and an on-premises or other cloud environment and exposes APIs from application backends hosted in Google Cloud across different VPC networks.

As illustrated in the preceding diagram:

  • To provide additional NGFW Layer 7 inspection abilities, the NVA with NGFW capabilities is optionally integrated with the design. You might require these abilities to comply with specific security requirements and the security policy standards of your organization.

  • This design assumes that spoke VPCs don't require direct VPC to VPC communication.

    • If spoke-to-spoke communication is required, you can use the NVA to facilitate such communication.
    • If you have different backends in different VPCs, you can use Private Service Connect to expose these backends to the Apigee VPC.
    • If VPC peering is used for the northbound and southbound connectivity between spoke VPCs and hub VPC, you need to consider the transitivity limitation of VPC networking over VPC peering. To overcome this limitation, you can use any of the following options:
      • To interconnect the VPCs, use an NVA.
      • Where applicable, consider the Private Service Connect model.
      • To establish connectivity between the Apigee VPC and backends that are located in other Google Cloud projects in the same organization without additional networking components, use Shared VPC.

  • If NVAs are required for traffic inspection—including traffic from your other environments—the hybrid connectivity to on-premises or other cloud environments should be terminated on the hybrid-transit VPC.

  • If the design doesn't include the NVA, you can terminate the hybrid connectivity at the hub VPC.

  • If certain load-balancing functionalities or security capabilities are required, like adding Google Cloud Armor DDoS protection or WAF, you can optionally deploy an external Application Load Balancer at the perimeter through an external VPC before routing external client requests to the backends.

Best practices

  • For situations where client requests from the internet need to be received locally by a frontend hosted in a private on-premises or other cloud environment, consider using Apigee Hybrid as an API gateway solution. This approach also facilitates a seamless migration of the solution to a completely Google Cloud-hosted environment while maintaining the consistency of the API platform (Apigee).
  • Use Apigee Adapter for Envoy with an Apigee Hybrid deployment with Kubernetes architecture where applicable to your requirements and the architecture.
  • The design of VPCs and projects in Google Cloud should follow the resource hierarchy and secure communication model requirements, as described in this guide.
  • Incorporating a transit VPC into this design provides the flexibility to provision additional perimeter security measures and hybrid connectivity outside the workload VPC.
  • Use Private Service Connect to access Google APIs and services from on-premises environments or other cloud environments using the internal IP address of the endpoint over a hybrid connectivity network. For more information, see Access the endpoint from on-premises hosts.
  • To help protect Google Cloud services in your projects and help mitigate the risk of data exfiltration, use VPC Service Controls to specify service perimeters at the project or VPC network level.
  • Use VPC firewall rules or firewall policies to control network-level access to Private Service Connect resources through the Private Service Connect endpoint. For example, outbound firewall rules at the application (consumer) VPC can restrict access from VM instances to the IP address or subnet of your endpoints. For more information about VPC firewall rules in general, see VPC firewall rules.
  • When designing a solution that includes NVAs, it's important to consider the high availability (HA) of the NVAs to avoid a single point of failure that could block all communication. Follow the HA and redundancy design and implementation guidance provided by your NVA vendor. For more information, about achieving high availability between virtual appliances, see the Architecture options section of Centralized network appliances on Google Cloud.
  • To strengthen perimeter security and secure your API gateway that's deployed in the respective environment, you can optionally implement load balancing and web application firewall mechanisms in your other computing environment (hybrid or other cloud). Implement these options at the perimeter network that's directly connected to the internet.
  • If instances require internet access, use Cloud NAT in the application VPC to allow workloads to access the internet. Doing so lets you avoid assigning VM instances with external public IP addresses in systems that are deployed behind an API gateway or a load balancer.

  • For outbound web traffic, use Secure Web Proxy. The proxy offers several benefits.

  • Review the general best practices for hybrid and multicloud networking patterns.

Gated egress and gated ingress

The gated egress and gated ingress pattern uses a combination of gated egress and gated ingress for scenarios that demand bidirectional usage of selected APIs between workloads. Workloads can run in Google Cloud, in private on-premises environments, or in other cloud environments. In this pattern, you can use API gateways, Private Service Connect endpoints, or load balancers to expose specific APIs and optionally provide authentication, authorization, and API call audits.

The key distinction between this pattern and the meshed pattern lies in its application to scenarios that solely require bidirectional API usage or communication with specific IP address sources and destinations—for example, an application published through a Private Service Connect endpoint. Because communication is restricted to the exposed APIs or specific IP addresses, the networks across the environments don't need to align in your design. Common applicable scenarios include, but aren't limited to, the following:

  • Mergers and acquisitions.
  • Application integrations with partners.
  • Integrations between applications and services of an organization with different organizational units that manage their own applications and host them in different environments.

The communication works as follows:

  • Workloads that you deploy in Google Cloud can communicate with the API gateway (or specific destination IP addresses) by using internal IP addresses. Other systems deployed in the private computing environment can't be reached.
  • Conversely, workloads that you deploy in other computing environments can communicate with the Google Cloud-side API gateway (or a specific published endpoint IP address) by using internal IP addresses. Other systems deployed in Google Cloud can't be reached.

Architecture

The following diagram shows a reference architecture for the gated egress and gated ingress pattern:

Data egresses and ingresses between Google Cloud and an on-premises or other cloud network.

The design approach in the preceding diagram has the following elements:

  • On the Google Cloud side, you deploy workloads in a VPC (or shared VPC) without exposing them directly to the internet.
  • The Google Cloud environment network is extended to other computing environments. That environment can be on-premises or on another cloud. To extend the environment, use a suitable hybrid and multicloud connectivity communication pattern to facilitate the communication between environments so they can use internal IP addresses.
  • Optionally, by enabling access to specific target IP addresses, you can use a transit VPC to help add a perimeter security layer outside of your application VPC.
    • You can use Cloud Next Generation Firewall or network virtual appliances (NVAs) with next generation firewalls (NGFWs) at the transit VPC to inspect traffic and to allow or prohibit access to certain APIs from specific sources before reaching your application VPC.
  • APIs should be accessed through an API gateway or a load balancer to provide a proxy layer, and an abstraction or facade for your service APIs.
  • For applications consumed as APIs, you can also use Private Service Connect to provide an internal IP address for the published application.
  • All environments use overlap-free RFC 1918 IP address space.

A common application of this pattern involves deploying application backends (or a subset of application backends) in Google Cloud while hosting other backend and frontend components in on-premises environments or in other clouds (tiered hybrid pattern or partitioned multicloud pattern). As applications evolve and migrate to the cloud, dependencies and preferences for specific cloud services often emerge.

Sometimes these dependencies and preferences lead to the distribution of applications and backends across different cloud providers. Also, some applications might be built with a combination of resources and services distributed across on-premises environments and multiple cloud environments.

For distributed applications, the capabilities of external Cloud Load Balancing hybrid and multicloud connectivity can be used to terminate user requests and route them to frontends or backends in other environments. This routing occurs over a hybrid network connection, as illustrated in the following diagram. This integration enables the gradual distribution of application components across different environments. Requests from the frontend to backend services hosted in Google Cloud communicate securely over the established hybrid network connection facilitated by an internal load balancer (ILB in the diagram).

Data ingresses and egresses between an application frontend in an on-premises or other cloud environment and an application backend in a Google Cloud environment. The data flows through an internal load balancer (ILB) in Google Cloud.

Using the Google Cloud design in the preceding diagram helps with the following:

  • Facilitates two-way communication between Google Cloud, on-premises, and other cloud environments using predefined APIs on both sides that align with the communication model of this pattern.
  • To provide global frontends for internet-facing applications with distributed application components (frontends or backends), and to accomplish the following goals, you can use the advanced load balancing and security capabilities of Google Cloud distributed at points of presence (PoPs):
  • Reduce capital expenses and simplify operations by using serverless managed services.
  • Optimize connections to application backends globally for speed and latency.
    • Google Cloud Cross-Cloud Network enables multicloud communication between application components over optimal private connections.
  • Cache high demand static content and improve application performance for applications using global Cloud Load Balancing by providing access to Cloud CDN.
  • Secure the global frontends of the internet facing applications by using Google Cloud Armor capabilities that provide globally distributed web application firewall (WAF) and DDoS mitigation services.
  • Optionally, you can incorporate Private Service Connect into your design. Doing so enables private, fine-grained access to Google Cloud service APIs or your published services from other environments without traversing the public internet.

Variations

The gated egress and gated ingress architecture patterns can be combined with other approaches to meet different design requirements, while still considering the communication requirements of this pattern. The patterns offer the following options:

Distributed API gateways

In scenarios like the one based on the partitioned multicloud pattern, applications (or application components) can be built in different cloud environments—including a private on-premises environment. The common requirement is to route client requests to the application frontend directly to the environment where the application (or the frontend component) is hosted. This kind of communication requires a local load balancer or an API gateway. These applications and their components might also require specific API platform capabilities for integration.

The following diagram illustrates how Apigee and Apigee Hybrid are designed to address such requirements with a localized API gateway in each environment. API platform management is centralized in Google Cloud. This design helps to enforce strict access control measures where only pre-approved IP addresses (target and destination APIs or Private Service Connect endpoint IP addresses) can communicate between Google Cloud and the other environments.

Data ingresses and egresses between an on-premises or other cloud environment and a Google Cloud environment. Client requests to the application frontend go directly to the environment where the application (or the frontend component) is hosted.

The following list describes the two distinct communication paths in the preceding diagram that use Apigee API gateway:

  • Client requests arrive at the application frontend directly in the environment that hosts the application (or the frontend component).
  • API gateways and proxies within each environment handle client and application API requests in different directions across multiple environments.
    • The API gateway functionality in Google Cloud (Apigee) exposes the application (frontend or backend) components that are hosted in Google Cloud.
    • The API gateway functionality in another environment (Hybrid) exposes the application frontend (or backend) components that are hosted in that environment.

Optionally, you can consider using a transit VPC. A transit VPC can provide flexibility to separate concerns and to perform security inspection and hybrid connectivity in a separate VPC network. From an IP address reachability standpoint, a transit VPC (where the hybrid connectivity is attached) facilitates the following requirements to maintain end-to-end reachability:

  • The IP addresses for target APIs need to be advertised to the other environments where clients/requesters are hosted.
  • The IP addresses for the hosts that need to communicate with the target APIs have to be advertised to the environment where the target API resides—for example, the IP addresses of the API requester (the client). The exception is when communication occurs through a load balancer, proxy, Private Service Connect endpoint, or NAT instance.

To extend connectivity to the remote environment, this design uses direct VPC peering with customer route exchange capability. The design lets specific API requests that originate from workloads hosted within the Google Cloud application VPC to route through the transit VPC. Alternatively, you can use a Private Service Connect endpoint in the application VPC that's associated with a load balancer with a hybrid network endpoint group backend in the transit VPC. That setup is described in the next section: Bidirectional API communication using Private Service Connect.

Bidirectional API communication using Private Service Connect

Sometimes, enterprises might not need to use an API gateway (like Apigee) immediately, or might want to add it later. However, there might be business requirements to enable communication and integration between certain applications in different environments. For example, if your company acquired another company, you might need to expose certain applications to that company. They might need to expose applications to your company. Both companies might each have their own workloads hosted in different environments (Google Cloud, on-premises, or in other clouds), and must avoid IP address overlap. In such cases, you can use Private Service Connect to facilitate effective communication.

For applications consumed as APIs, you can also use Private Service Connect to provide a private address for the published applications, enabling secure access within the private network across regions and over hybrid connectivity. This abstraction facilitates the integration of resources from diverse clouds and on-premises environments over a hybrid and multicloud connectivity model. It also enables the assembly of applications across multicloud and on-premises environments. This can satisfy different communication requirements, like integrating secure applications where an API gateway isn't used or isn't planned to be used.

By using Private Service Connect with Cloud Load Balancing, as shown in the following diagram, you can achieve two distinct communication paths. Each path is initiated from a different direction for a separate connectivity purpose, ideally through API calls.

  • All the design considerations and recommendations of Private Service Connect discussed in this guide apply to this design.
  • If additional Layer 7 inspection is required, you can integrate NVAs with this design (at the transit VPC).
  • This design can be used with or without API gateways.

On-premises or other cloud environments and a Google Cloud environment communicate data through different paths, and through various load balancers, VPC endpoints, and subnets.

The two connectivity paths depicted in the preceding diagram represent independent connections and don't illustrate two-way communication of a single connection or flow.

Bidirectional communication using Private Service Connect endpoints and interfaces

As discussed in the gated ingress pattern, one of the options to enable client-service communication is by using a Private Service Connect endpoint to expose a service in a producer VPC to a consumer VPC. That connectivity can be extended to an on-premises environment or even another cloud provider environment over a hybrid connectivity. However, in some scenarios, the hosted service can also require private communication.

To access a certain service, like retrieving data from data sources that can be hosted within the consumer VPC or outside it, this private communication can be between the application (producer) VPC and a remote environment, such as an on-premises environment.

In such a scenario, Private Service Connect interfaces enable a service producer VM instance to access a consumer's network. It does so by sharing a network interface, while still maintaining the separation of producer and consumer roles. With this network interface in the consumer VPC, the application VM can access consumer resources as if they resided locally in the producer VPC.

A Private Service Connect interface is a network interface attached to the consumer (transit) VPC. It's possible to reach external destinations that are reachable from the consumer (transit) VPC where the Private Service Connect interface is attached. Therefore, this connection can be extended to an external environment over a hybrid connectivity such as an on-premises environment, as illustrated in the following diagram:

Data egresses and ingresses between an application in Google Cloud and a workload in an on-premises or other cloud network.

If the consumer VPC is an external organization or entity, like a third-party organization, typically you won't have the ability to secure the communication to the Private Service Connect interface in the consumer VPC. In such a scenario, you can define security policies in the guest OS of the Private Service Connect interface VM. For more information, see Configure security for Private Service Connect interfaces. Or, you might consider an alternative approach if it doesn't comply with the security compliance or standards of your organization.

Best practices

  • For situations where client requests from the internet need to be received locally by a frontend hosted in a private on-premises or other cloud environment, consider using Hybrid as an API gateway solution.

    • This approach also facilitates a migration of the solution to a fully Google Cloud-hosted environment while maintaining the consistency of the API platform (Apigee).

  • To minimize latency and optimize costs for high volumes of outbound data transfers to your other environments when those environments are in long-term or permanent hybrid or multicloud setups, consider the following:

    • Use Cloud Interconnect or Cross-Cloud Interconnect.
    • To terminate user connections at the targeted frontend in the appropriate environment, use Hybrid.

  • Where applicable to your requirements and the architecture, use Apigee Adapter for Envoy with a Hybrid deployment with Kubernetes.

  • Before designing the connectivity and routing paths, you first need to identify what traffic or API requests need to be directed to a local or remote API gateway, along with the source and destination environments.

  • Use VPC Service Controls to protect Google Cloud services in your projects and to mitigate the risk of data exfiltration, by specifying service perimeters at the project or VPC network level.

  • Use Virtual Private Cloud (VPC) firewall rules or firewall policies to control network-level access to Private Service Connect resources through the Private Service Connect endpoint. For example, outbound firewall rules at the application (consumer) VPC can restrict access from VM instances to the IP address or subnet of your endpoints.

  • When using a Private Service Connect interface, you must protect the communication to the interface by configuring security for the Private Service Connect interface.

  • If a workload in a private subnet requires internet access, use Cloud NAT to avoid assigning an external IP address to the workload and exposing it to the public internet.

  • Review the general best practices for hybrid and multicloud networking patterns.

Handover patterns

With the handover pattern, the architecture is based on using Google Cloud-provided storage services to connect a private computing environment to projects in Google Cloud. This pattern applies primarily to setups that follow the analytics hybrid multicloud architecture pattern, where:

  • Workloads that are running in a private computing environment or in another cloud upload data to shared storage locations. Depending on use cases, uploads might happen in bulk or in smaller increments.
  • Google Cloud-hosted workloads or other Google services (data analytics and artificial intelligence services, for example) consume data from the shared storage locations and process it in a streaming or batch fashion.

Architecture

The following diagram shows a reference architecture for the handover pattern.

Data flows from an on-premises environment to a VPC-hosted workload and a data analytics service hosted in a Google Cloud environment.

The preceding architecture diagram shows the following workflows:

  • On the Google Cloud side, you deploy workloads into an application VPC. These workloads can include data processing, analytics, and analytics-related frontend applications.
  • To securely expose frontend applications to users, you can use Cloud Load Balancing or API Gateway.
  • A set of Cloud Storage buckets or Pub/Sub queues uploads data from the private computing environment and makes it available for further processing by workloads deployed in Google Cloud. Using Identity and Access Management (IAM) policies, you can restrict access to trusted workloads.
  • Use VPC Service Controls to restrict access to services and to minimize unwarranted data exfiltration risks from Google Cloud services.
  • In this architecture, communication with Cloud Storage buckets, or Pub/Sub, is conducted over public networks, or through private connectivity using VPN, Cloud Interconnect, or Cross-Cloud Interconnect. Typically, the decision on how to connect depends on several aspects, such as the following:
    • Expected traffic volume
    • Whether it's a temporary or permanent setup
    • Security and compliance requirements

Variation

The design options outlined in the gated ingress pattern, which uses Private Service Connect endpoints for Google APIs, can also be applied to this pattern. Specifically, it provides access to Cloud Storage, BigQuery, and other Google Service APIs. This approach requires private IP addressing over a hybrid and multicloud network connection such as VPN, Cloud Interconnect and Cross-Cloud Interconnect.

Best practices

  • Lock down access to Cloud Storage buckets and Pub/Sub topics.
  • When applicable, use cloud-first, integrated data movement solutions like the Google Cloud suite of solutions. To meet your use case needs, these solutions are designed to efficiently move, integrate, and transform data.

  • Assess the different factors that influence the data transfer options, such as cost, expected transfer time, and security. For more information, see Evaluating your transfer options.

  • To minimize latency and prevent high-volume data transfer and movement over the public internet, consider using Cloud Interconnect or Cross-Cloud Interconnect, including accessing Private Service Connect endpoints within your Virtual Private Cloud for Google APIs.

  • To protect Google Cloud services in your projects and to mitigate the risk of data exfiltration, use VPC Service Controls. These service controls can specify service perimeters at the project or VPC network level.

  • Communicate with publicly published data analytics workloads that are hosted on VM instances through an API gateway, a load balancer, or a virtual network appliance. Use one of these communication methods for added security and to avoid making these instances directly reachable from the internet.

  • If internet access is required, Cloud NAT can be used in the same VPC to handle outbound traffic from the instances to the public internet.

  • Review the general best practices for hybrid and multicloud networking topologies.

General best practices

When designing and onboarding cloud identities, resource hierarchy, and landing zone networks, consider the design recommendations in Landing zone design in Google Cloud and the Google Cloud security best practices covered in the enterprise foundations blueprint. Validate your selected design against the following documents:

Also, consider the following general best practices:

Hybrid and multicloud secure networking architecture patterns: What's next