The Architecture Center provides content resources across a wide variety of monitoring and logging subjects.
Monitoring and logging resources in the Architecture Center
You can filter the following list of monitoring and logging resources by typing a product name or a phrase that's in the resource title or description.
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Automate malware scanning for files uploaded to Cloud Storage This document shows you how to build an event-driven pipeline that can help you automate the evaluation of files for malicious code. Products used: Cloud Logging, Cloud Run, Cloud Storage, Eventarc |
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Best practices and reference architectures for VPC design This guide introduces best practices and typical enterprise architectures for the design of virtual private clouds (VPCs) with Google Cloud. Products used: Cloud DNS, Cloud Interconnect, Cloud NAT, Cloud Router, Cloud VPN, Virtual Private Cloud |
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Cloud Monitoring metric export Describes a way to export Cloud Monitoring metrics for long-term analysis. Products used: App Engine, BigQuery, Cloud Monitoring, Cloud Pub/Sub, Cloud Scheduler, Datalab, Looker Studio |
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Configuring SaaS data protection for Google Workspace data with Spin.AI How to configure SpinOne - All-in-One SaaS Data Protection with Cloud Storage. |
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Disaster recovery planning guide The first part of a series that discusses disaster recovery (DR) in Google Cloud. This part provides an overview of the DR planning process: what you need to know in order to design and implement a DR plan. Products used: Cloud Key Management Service, Cloud Storage, Spanner |
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Hybrid and multicloud monitoring and logging patterns Discusses monitoring and logging architectures for hybrid and multicloud deployments, and provides best practices for implementing them by using Google Cloud. Products used: Anthos, Cloud Logging, Cloud Monitoring, Google Kubernetes Engine (GKE) |
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Import logs from Cloud Storage to Cloud Logging Learn how to import logs that were previously exported to Cloud Storage back to Cloud Logging. Products used: BigQuery, Cloud Logging, Cloud Run, Cloud Storage |
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Log and monitor on-premises resources with BindPlane Describes considerations and design patterns for using Cloud Logging, Cloud Monitoring, and BindPlane to provide logging and monitoring services for on-premises resources. Products used: Cloud Logging, Cloud Monitoring |
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Helps you plan, design, and implement the process of migrating your application and infrastructure workloads to Google Cloud, including computing, database, and storage workloads. Products used: App Engine, Cloud Build, Cloud Data Fusion, Cloud Deployment Manager, Cloud Functions, Cloud Run, Cloud Storage, Container Registry, Data Catalog, Dataflow, Direct Peering, Google Kubernetes Engine (GKE), Transfer Appliance |
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Patterns for scalable and resilient apps Introduces some patterns and practices for creating apps that are resilient and scalable, two essential goals of many modern architecture exercises. Products used: Cloud Load Balancing, Cloud Monitoring, Cloud SQL, Cloud Storage, Compute Engine |
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PCI Data Security Standard compliance Shows how to implement the Payment Card Industry Data Security Standard (PCI DSS) for your business on Google Cloud. Products used: App Engine, BigQuery, Cloud Functions, Cloud Key Management Service, Cloud Logging, Cloud Monitoring, Cloud Storage, Compute Engine, Google Kubernetes Engine (GKE), Sensitive Data Protection, VPC Service Controls |
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Security log analytics in Google Cloud Shows how to collect, export, and analyze logs from Google Cloud to help you audit usage and detect threats to your data and workloads. Use the included threat detection queries for BigQuery or Chronicle, or bring your own SIEM. Products used: BigQuery, Cloud Logging, Compute Engine, Looker Studio |
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Stream logs from Google Cloud to Splunk Create a production-ready, scalable, fault-tolerant, log export mechanism that streams logs and events from your resources in Google Cloud into Splunk. Products used: Cloud Logging, Cloud Pub/Sub, Dataflow |
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Use distributed tracing to observe microservice latency Shows how to capture trace information on microservice applications using OpenTelemetry and Cloud Trace. Products used: Cloud Build, Cloud Trace, Compute Engine, Google Kubernetes Engine (GKE) |