Run builds on reserved capacity fleets (original) (raw)
CodeBuild offers the following compute fleets:
- On-demand fleets
- Reserved capacity fleets
With on-demand fleets, CodeBuild provides compute for your builds. The machines are destroyed when the build finishes. On-demand fleets are fully managed, and includes automatic scaling capabilities to handle spikes in demand.
Note
On-demand fleets do not support macOS.
CodeBuild also offers reserved capacity fleets which contain instances powered by Amazon EC2 that are maintained by CodeBuild. With reserved capacity fleets, you configure a set of dedicated instances for your build environment. These machines remain idle, ready to process builds or tests immediately and reduces build durations. With reserved capacity fleets, your machines are always running and will continue to incur costs as long they're provisioned.
Important
Regardless of how long you run an instance for, reserved capacity fleets incur an initial charge per instance, after which there may be additional associated costs. For more information, see https://aws.amazon.com/codebuild/pricing/.
Topics
- Create a reserved capacity fleet
- Best practices
- Can I share a reserved capacity fleet across multiple CodeBuild projects?
- How does attribute-based compute work?
- Can I manually specify an Amazon EC2 instance for my fleet?
- Which regions support reserved capacity fleets?
- How do I configure a reserved capacity macOS fleet?
- How do I configure a custom Amazon Machine Image (AMI) for a reserved capacity fleet?
- Limitations of reserved capacity fleets
- Reserved capacity fleet properties
- Reserved capacity samples with AWS CodeBuild
Create a reserved capacity fleet
Use the following instructions to create a reserved capacity fleet.
To create a reserved capacity fleet
- Sign in to the AWS Management Console and open the AWS CodeBuild console at https://console.aws.amazon.com/codesuite/codebuild/home.
- In the navigation pane, choose Compute fleets, and then choose Create Fleet.
- In the Compute fleet name text field, enter a name for your fleet.
- From the Operating system drop-down menu, choose the operating system.
- From the Architecture drop-down menu, choose the architecture.
- (Optional) Select Use instance running mode - optional to run on an Amazon EC2 instance directly instead of a Docker container. Then choose a Major version and Minor version.
- (Optional) In Additional configuration do the following:
- Select Configure VPC - optional to connect your fleet to a VPC to access private resources during usage.
* From the VPC drop-down menu, select a VPC that your CodeBuild fleet will access.
* From the Subnets drop-down menu, select the subnets that CodeBuild should use to set up your VPC configuration.
* From the Security groups drop-down menu, select the security groups that CodeBuild should use to work with your VPC.
* In the Fleet Service Role field, choose an existing service role.
* If you chose the Amazon Linux operating system, select Define proxy configurations - optional to apply network access control for your reserved capacity instances.
* For Default behavior, choose to allow or deny outgoing traffic to all destinations by default.
* For Proxy rules, choose Add proxy rule to specify destination domains or IPs to allow or deny network access control to. - Select Configure custom AMI - optional to use a custom Amazon Machine Image (AMI).
* From the AMI drop-down menu, select a an Amazon Machine Image (AMI) for your fleet.
* In the Fleet Service Role field, choose an existing service role.
- Select Configure VPC - optional to connect your fleet to a VPC to access private resources during usage.
- In Capacity configuration, from Compute selection mode, choose one of the following:
- If you choose Guided selection, do the following:
* For Compute, choose the type of instances included in this fleet.
* In the Capacity text field, enter the minimum number of instances in the fleet.
* (Optional) In Additional configuration do the following:
* Select Configure scaling - optional to automatically scale your fleet based on this configuration. From the Scaling mode - optional drop-down menu, choose the behavior when demand exceeds the fleet capacity. - If you choose Custom instance, do the following:
* From the Compute instance type drop-down menu, select the type of instances included in this fleet.
* In the Additional EBS volume size - optional text field, enter the volume additional to the 64GB of disk space provided.
* In the Capacity text field, enter the minimum number of instances in the fleet.
* (Optional) In Additional configuration do the following:
* Select Configure scaling - optional to automatically scale your fleet based on this configuration. From the Scaling mode - optional drop-down menu, choose the behavior when demand exceeds the fleet capacity.
- If you choose Guided selection, do the following:
- Choose Create compute fleet.
- After the compute fleet is created, create a new CodeBuild project or edit an existing one. From Environment, choose Reserved capacity under Provisioning model, and then choose the specified fleet under Fleet name.
Best practices
When using reserved capacity fleets, we recommend that you follow these best practices.
- We recommend using source cache mode to help improve the build performance by caching the source.
- We recommend using Docker layer caching to help improve the build performance by caching existing Docker layers.
Yes, you can maximize the utilization of a fleet's capacity by using it across multiple projects.
Important
When using the reserved capacity feature, data cached on fleet instances, including source files, Docker layers, and cached directories specified in the buildspec, can be accessible to other projects within the same account. This is by design and allows projects within the same account to share fleet instances.
How does attribute-based compute work?
If you choose ATTRIBUTE_BASED_COMPUTE
as your fleet's computeType
, you can specify the attributes in a new field called computeConfiguration
. These attributes include vCPUs, memory, disk space, and the machineType
. This machineType
is either GENERAL
or NVME
. After specifying one or some of the available attributes, CodeBuild will choose a compute type from the available supported instance types as the finalized computeConfiguration
.
Note
CodeBuild will choose the cheapest instance that match all input requirements. The chosen instances' memory, vCPUs, and disk space will all be greater than or equal to the input requirements. You can check the resolved computeConfiguration
in the created or updated fleet.
If you input a computeConfiguration
that is not possible to satisfy in CodeBuild, you'll receive a validation exception. Also note that on-demand fleet overflow behavior will be overridden to queue behavior if the computeConfiguration
is not available for on-demand.
Can I manually specify an Amazon EC2 instance for my fleet?
Yes, you can directly input your desired Amazon EC2 instance in the console by selecting Custom instance or by configuring the API parameter, InstanceType
. This field is used in the following APIs: CreateFleet, UpdateFleet, CreateProject, UpdateProject and StartBuild. For more information, see Compute instance type.
Which regions support reserved capacity fleets?
Reserved capacity Amazon Linux and Windows fleets are supported in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and South America (São Paulo). For more information about AWS Regions where CodeBuild is available, see AWS Services by Region.
Reserved capacity macOS Medium fleets are supported in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), and Europe (Frankfurt). Reserved capacity macOS Large fleets are supported in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), and Asia Pacific (Sydney).
How do I configure a reserved capacity macOS fleet?
To configure a reserved capacity macOS fleet
- Sign in to the AWS Management Console and open the AWS CodeBuild console at https://console.aws.amazon.com/codesuite/codebuild/home.
- In the navigation pane, choose Compute fleets, and then choose Create Fleet.
- In the Compute fleet name text field, enter a name for your fleet.
- From the Operating system drop-down menu, choose macOS.
- In the Compute field, choose one of the following compute machine types: Apple M2, 24 GB memory, 8 vCPUs or Apple M2, 32 GB memory, 12 vCPUs.
- In the Capacity text field, enter the minimum number of instances in the fleet.
- (Optional) To use a custom image for your fleet, see How do I configure a custom Amazon Machine Image (AMI) for a reserved capacity fleet? to ensure that your Amazon Machine Image (AMI) has the required prerequisites.
- (Optional) To configure a VPC with your fleet, in Additional configuration do the following:
- From the VPC - optional drop-down menu, select a VPC that your CodeBuild fleet will access.
- From the Subnets drop-down menu, select the subnets that CodeBuild should use to set up your VPC configuration.
- From the Security groups drop-down menu, select the security groups that CodeBuild should use to work with your VPC.
- In the Fleet service role field, choose an existing service role.
- Choose Create compute fleet and wait for the fleet instance to launch. Once launched the capacity will be
`n`/`n`
, wheren
is the capacity provided. - After the compute fleet has launched, create a new CodeBuild project or edit an existing one. From Environment, choose Reserved capacity under Provisioning model, and then choose the specified fleet under Fleet name.
How do I configure a custom Amazon Machine Image (AMI) for a reserved capacity fleet?
To configure a custom Amazon Machine Image (AMI) for a reserved capacity fleet
- Sign in to the AWS Management Console and open the AWS CodeBuild console at https://console.aws.amazon.com/codesuite/codebuild/home.
- In the navigation pane, choose Compute fleets, and then choose Create Fleet.
- In the Compute fleet name text field, enter a name for your fleet.
- Choose Custom image for your fleet and ensure that your Amazon Machine Image (AMI) has the following prerequisites:
- If your environment type is
MAC_ARM
, make sure that your AMI Architecture is 64-bitMac-Arm
. - If your environment type is
LINUX_EC2
, make sure that your AMI Architecture is 64-bitx86
. - If your environment type is
ARM_EC2
, make sure that your AMI Architecture is 64-bitArm
. - If your environment type is
WINDOWS_EC2
, make sure that your AMI Architecture is 64-bitx86
. - The AMI allows the CodeBuild service Organization ARN. For a list of Organization ARNs, see Amazon Machine Images (AMI).
- If the AMI is encrypted with a AWS KMS key, the AWS KMS key must also allow the CodeBuild service Organization ID. For a list of Organization IDs, see Amazon Machine Images (AMI). For more information on AWS KMS keys, see Allow organizations and OUs to use a KMS key in the Amazon EC2 User Guide. To give CodeBuild organization permission to use a KMS key, add the following statement to the key policy:
{ "Sid": "Allow access for organization root", "Effect": "Allow", "Principal": "*", "Action": [ "kms:Describe*", "kms:List*", "kms:Get*", "kms:Encrypt", "kms:Decrypt", "kms:ReEncrypt*", "kms:GenerateDataKey*", "kms:CreateGrant" ], "Resource": "*", "Condition": { "StringEquals": { "aws:PrincipalOrgID": "o-123example" } } }
- In the Fleet service role field, grant the following Amazon EC2 permissions:
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "ec2:DescribeImages", "ec2:DescribeSnapshots" ], "Resource": "*" } ] }
- If your environment type is
Limitations of reserved capacity fleets
There are some use-cases which reserved capacity fleets do not support, and if they impact you, use on-demand fleets instead:
- Reserved capacity fleets don't support build utilization metrics.
- Reserved capacity macOS fleets don't support debug session.
For more information on limits and quotas, see Compute fleets.