Compute Engine

Instance groups

Create and manage virtual machines as a group

Google Cloud's managed instance group (MIG) is a set of virtual machines sharing the same configuration that you can manage as one entity.

New customers get $300 in free credits to spend on Google Cloud. Looking for something else? Browse other Compute Engine solutions.

Features

Autoscale with changing demand

When your apps require additional compute resources, autoscaled managed instance groups (MIGs) can automatically grow the number of VMs in the group to meet demand. If demand drops, autoscaled MIGs can automatically shrink to reduce your costs. You could also scale proactively using predictive or scheduled autoscaling.

Improve reliability by spreading across zones

Regional MIGs let you spread app load across multiple zones. This replication protects against zonal failures. If a zone fails, your app can continue serving traffic from VMs running in the remaining available zones in the same region.

Automatically attain and maintain capacity

MIGs will create desired VM capacity and maintain group size even in case of VM failure. If a VM in the group fails or gets preempted (Spot VMs), the MIG automatically recreates that VM.

Support for stateful workloads

You can use MIGs for building highly available deployments and automating operation of applications with stateful data or configuration, such as databases, DNS servers, legacy monolith applications, or long-running batch computations with checkpointing. Stateful MIGs preserve each VM's unique state (instance name, attached persistent disks, and metadata) on machine restart, recreation, auto-healing, and update events.

Application-based autohealing

You can also set up an application-based health check, which periodically verifies that your application responds as expected on each of the MIG's VMs. If an application is not responding on a VM, the MIG automatically recreates that VM for you. Checking that an application responds is more precise than simply verifying that a VM is up and running.

Automated updates

The MIG automatic updater lets you safely deploy new versions of software to instances in your MIG and supports a flexible range of rollout scenarios, such as rolling updates and canary updates. You can control the speed and scope of deployment as well as the level of disruption to your service.

How It Works

To use MIGs, you'll first create an instance template that defines the configuration for all VMs in the group. Then create a MIG by specifying the instance template, number of VMs needed, and optionally an autoscaling and autohealing configuration. Then the MIG will create and manage VMs for you.

Set up, run and update scalable and highly available deployments
Watch a demo of the how managed instance groups can help you build scalable and highly available deployments.

Common Uses

Availability

Highly available web applications

Highly available apps are designed to serve clients with minimal latency and downtime. MIGs have many capabilities that can help you build them. You can distribute an application across multiple zones with a regional MIG. Automatically scale your application proactively using predictive or scheduled autoscaling. In case of instance failures, autohealing can automatically repair affected instances.

Learn more about MIG's high availability capabilities
Architecture of a highly available web application

Highly available web applications

Highly available apps are designed to serve clients with minimal latency and downtime. MIGs have many capabilities that can help you build them. You can distribute an application across multiple zones with a regional MIG. Automatically scale your application proactively using predictive or scheduled autoscaling. In case of instance failures, autohealing can automatically repair affected instances.

Learn more about MIG's high availability capabilities
Architecture of a highly available web application

Obtainability

Batch or Machine Learning workloads

Large scale batch jobs require the ability to provision thousands of VMs. MIGs make it easy to create them across several zones with a single command. Use compact placement policies for tightly coupled batch jobs to reduce network latency. Using our GPU supported VMs you could run your analytics, machine learning and other batch computations on a scalable, high-performance cloud infrastructure.

Explore how to scale workers based on queued jobs
Architecture diagram of running batch workloads on MIGs

    Batch or Machine Learning workloads

    Large scale batch jobs require the ability to provision thousands of VMs. MIGs make it easy to create them across several zones with a single command. Use compact placement policies for tightly coupled batch jobs to reduce network latency. Using our GPU supported VMs you could run your analytics, machine learning and other batch computations on a scalable, high-performance cloud infrastructure.

    Explore how to scale workers based on queued jobs
    Architecture diagram of running batch workloads on MIGs

      Persistence

      Highly available database cluster

      If you need to manage groups of VMs with persistent data or configurations (such as database shards or legacy applications) then stateful MIGs are your best bet. Autohealing, multi-zone deployments, and automatic rolling updates improve uptime and resilience of these stateful applications. Examples of stateful applications include Cassandra, MongoDB, MySQL, PostgreSQL and Kafka.

      Find out more about stateful MIGs
      Architecture of batch workloads

        Highly available database cluster

        If you need to manage groups of VMs with persistent data or configurations (such as database shards or legacy applications) then stateful MIGs are your best bet. Autohealing, multi-zone deployments, and automatic rolling updates improve uptime and resilience of these stateful applications. Examples of stateful applications include Cassandra, MongoDB, MySQL, PostgreSQL and Kafka.

        Find out more about stateful MIGs
        Architecture of batch workloads

          Pricing

          How instance groups pricing worksThere is no additional charge for using instance groups. You are charged only for the resources that your instance group creates.
          ProductDescriptionPricing

          Instance group

          You are billed for each VM according to Compute Engine’s pricing. 

          New customers get $300 in free credits to spend on Google Cloud during the first 90 days.

          See Compute Engine pricing information. 

          You can also reach out to our sales team to request a quote.

          How instance groups pricing works

          There is no additional charge for using instance groups. You are charged only for the resources that your instance group creates.

          Instance group

          Description

          You are billed for each VM according to Compute Engine’s pricing. 

          New customers get $300 in free credits to spend on Google Cloud during the first 90 days.

          Pricing

          See Compute Engine pricing information. 

          You can also reach out to our sales team to request a quote.

          Pricing calculator

          Estimate your monthly costs, including region specific pricing and fees.

          Custom quote

          Connect with our sales team to get a custom quote for your organization.

          Learn more about instance groups

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