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效率与协作技能,来自 obra/superpowers,查看原文获取完整用途和操作说明。
elastic-beanstalk【部署与运维】Deploy to AWS Elastic Beanstalk, in either Beanstalk Standard mode (EC2) or Beanstalk Cluster mode (managed EKS). Triggers on: elastic beanstalk, EB, beanstalk standard, beanstalk cluster, managed EC2 platform, web app with managed patching, worker on EC2, Heroku alternative, don't want to manage servers or container orchestration, migrate from Herok…
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Deploy applications to production on AWS with full lifecycle management. Elastic Beanstalk is an application management service: the user provides application code or a container image, AWS manages everything underneath (deployment, scaling, patching, monitoring, health response).
There are two modes, and the choice determines every setting that follows. Standard runs the application on Amazon EC2; Cluster runs a container on a managed Amazon EKS Auto Mode cluster. See Choose the Mode.
Elastic Beanstalk is the right choice when:
Elastic Beanstalk is NOT the right choice when:
ECS and EKS are infrastructure management services: the user defines and operates the deployment infrastructure (task definitions, services, clusters, scaling policies) and owns ongoing operational decisions. Elastic Beanstalk is an application management service: the user provides source code or a Docker image, and AWS provisions and operates the production environment on an ongoing basis. The result is the same reliability, but with lower ongoing maintenance cost because operational responsibility stays with the provider.
Both models support IaC (CDK, CloudFormation, Terraform). The distinction is not about tooling — it is about who manages the lifecycle after deployment.
Lambda/serverless is a different axis entirely. "Don't want to manage servers" does not mean "wants serverless" — Elastic Beanstalk also eliminates server management while preserving the standard application programming model (long-running processes, persistent connections, threads, and — in Standard mode only — local state; Cluster mode replicas have ephemeral local storage). Serverless imposes a specific programming model: stateless functions, cold starts, event-driven invocation, and a 15-minute execution ceiling. Route to Lambda only when the user explicitly asks for serverless or the workload is natively event-driven (e.g., S3 triggers, API Gateway request/response with no session state).
Decide before generating anything. The modes share an API and nothing else: a Standard mode namespace passed to a Cluster mode environment is rejected, not ignored.
Cluster mode has an entry requirement, and it is checked first. Route to Cluster only when every service can run as identical, interchangeable replicas and all durable state — uploads, sessions, caches, working files — already lives outside the container. Replica local storage is ephemeral and is lost on every restart, and there is no persistent volume option. An application that fails this goes to Standard mode, or gets changed first; a multi-service signal does not override it. See the application contract.
Then the signals:
| Signal | Mode |
|---|---|
| Source on a standard runtime; Windows or .NET Framework | Standard |
| Worker consuming an SQS queue | Standard |
| Writes uploads, sessions, or working files to local disk | Standard |
| One small application, cost is the priority | Standard |
| Several services needing private service-to-service traffic | Cluster |
| Kubernetes underneath without operating Kubernetes | Cluster |
| Managed OpenTelemetry, or faster deploys and scaling | Cluster |
A container image alone does not settle it, because Standard mode has a Docker platform too — ask. Prefer Cluster mode when the application is containerised, multi-service, and meets the contract above, since environments sharing subnets share one cluster and reach each other privately. Prefer Standard for a single container where a cluster is not yet justified. Do not propose migrating a working Standard environment unless asked: there is no in-place conversion, only new environments and a CNAME swap.
If the mode is Cluster, follow cluster mode and stop here. Everything below is Beanstalk Standard.
This skill is invoked after the deploy skill selects Elastic Beanstalk as the deployment target. The deploy skill handles codebase analysis and cost estimation. This skill handles EB-specific configuration:
| Setting | Dev | Production |
|---|---|---|
| Environment type (web) | Load-balanced (min=1, max=1) | Load-balanced, Multi-AZ |
| Environment type (worker) | Auto Scaling group (min=1, max=1) | Auto Scaling group (min=2, max=4) |
| Instance | t3.small | t3.medium or larger |
| Deployments | All-at-once | Rolling with additional batch |
| Health reporting | Enhanced | Enhanced |
| Managed updates | Enabled (weekly) | Enabled (maintenance window) |
| HTTPS (web only) | ACM certificate + ALB | ACM certificate + ALB |
Default to dev unless user says "production" or "prod".
Always use load-balanced environments for web server types. This ensures instances stay in private subnets behind an ALB, HTTPS terminates via ACM automatically, and scaling up later is a config change rather than an environment type migration. Dev deployments with min=max=1 cause brief downtime on deploy (single instance, all-at-once). If zero-downtime dev is needed, use min=1 max=2 with rolling.
Worker environments do not have load balancers — they receive work from SQS and are scaled via Auto Scaling group settings.
| Signal in Codebase | Environment Type |
|---|---|
| HTTP listener, web framework, API routes | Web server |
| Queue-based consumer, SQS processing, no HTTP serving | Worker |
| HTTP serving + queue-based background processing | Web server + separate Worker environment |
Worker environments receive work via an SQS queue managed by Elastic Beanstalk.
EB's SQS daemon sends HTTP POST requests to the application at a configurable
path (default: POST /). The application must expose this HTTP endpoint to
process each message — no SQS SDK integration required.
Worker environments also support periodic tasks via cron.yaml for scheduled
jobs (alternative to EventBridge + Lambda when the user is already using EB).
If the app uses in-process background threads or async tasks (not queue-based), a single web server environment is sufficient — do not create a separate Worker.
Default: AWS CLI — no extra tooling to install. The agent orchestrates the multi-step workflow:
aws elasticbeanstalk create-storage-location → returns the S3 bucket
(idempotent — returns existing bucket if already created)aws elasticbeanstalk create-applicationaws elasticbeanstalk create-application-versionaws elasticbeanstalk create-environment with --option-settings (web:
--tier Name=WebServer,Type=Standard, worker: --tier Name=Worker,Type=SQS/HTTP)aws elasticbeanstalk wait environment-updatedupdate-environmentResolve the --solution-stack-name by running
aws elasticbeanstalk list-available-solution-stacks and filtering for the
detected platform (e.g., ".NET" + "Amazon Linux 2023"). Alternatively, use
--platform-arn from aws elasticbeanstalk list-platform-versions.
Use .ebextensions/ and platform hooks for customization.
See AWS CLI EB reference for full command documentation.
Override: CDK (TypeScript) when the user has an existing CDK project, wants repeatable IaC, or explicitly requests it:
CfnApplication, CfnEnvironment, CfnConfigurationTemplateOverride: Terraform when the user's repo already has Terraform:
aws_elastic_beanstalk_application, aws_elastic_beanstalk_environmentCDK and Terraform templates are scannable by cfn-nag/checkov pre-deploy.
Apply these automatically:
AmazonBedrockRuntimeClient → bedrock:InvokeModel,
AmazonS3Client → s3:GetObject/s3:PutObject on specific buckets)See the deploy skill's security defaults for encryption, VPC placement, and IAM patterns.
Elastic Beanstalk has no service fee. Cost = underlying AWS resources. Query the awspricing MCP server for region-accurate estimates. Approximate us-east-1 pricing:
| Configuration | Estimated Monthly Cost |
|---|---|
| Dev web (1x t3.small + ALB) | ~$35-40 |
| Dev worker (1x t3.small, no ALB) | ~$15-20 |
| Production web (4x t3.medium + ALB, Multi-AZ) | ~$150-200 |
Add RDS/Aurora costs separately if database is included.