AWS Elastic Beanstalk Support
Migrate from Elastic Beanstalk to Amazon ECS.
Teams outgrow Beanstalk when they need finer control over deployments, scaling, networking or containers. ECS on Fargate keeps the load balancer and Auto Scaling ideas and removes server management. We map what Beanstalk configures for you into ECS and migrate with a reversible cutover.
When You Need This
The situations where this work pays for itself.
Signs it is time
- You want container-based deployments and finer scaling
- Beanstalk platform updates and .ebextensions have become a burden
- You need per-service deployments or sidecars
- You run several Beanstalk apps that could share a cluster
- Beanstalk platform branch retirement is forcing a change anyway
What you get
- Environment inventory and migration plan
- Dockerfile, CI build and ECR setup
- ECS infrastructure as code
- Cutover and rollback runbook
How we do it
A clear, safe process you can follow along with.
1. Document the current environment
We export environment configuration, .ebextensions, platform hooks, environment variables, instance types, scaling settings, the load balancer and health check, scheduled tasks and worker queue use. This becomes the specification.
2. Containerize the application
We write a Dockerfile that reproduces the runtime and startup commands, move OS packages and files from .ebextensions into the image, and run it locally and in CI. Logs go to stdout and stderr.
3. Build the ECS platform
With infrastructure as code we create the ECR repository, cluster, task definition with CPU, memory, ports and health check, service on Fargate, ALB listeners and target group, security groups and the task roles.
4. Move configuration and secrets
Environment properties become task definition environment variables, and sensitive ones move to Secrets Manager or Parameter Store referenced by the task definition. The execution role gets read access to them.
5. Set up scaling and deployments
We configure target tracking auto scaling, rolling deployments with the deployment circuit breaker, and log delivery to CloudWatch. Worker environments map to ECS services reading from SQS.
6. Test in parallel
The new service runs next to Beanstalk with the same database, and we run functional and load tests and compare responses and latency.
7. Cut over gradually and decommission
We shift Route 53 weighted records from Beanstalk to the ALB in steps, monitor errors, keep Beanstalk for a rollback window, then terminate it and clean up.
Mistakes we help you avoid
Common ways this goes wrong, and what we do instead.
Lifting .ebextensions line by line
Some steps belong in the image, some in the task definition, some are no longer needed.
Local disk assumptions
Container storage is ephemeral. Uploads and state need S3, EFS or a database.
Switching DNS in one step
Weighted records allow a fast return if something is wrong.
Forgetting scheduled and worker jobs
Cron-like behavior and queue consumers must move too, for example to EventBridge Scheduler and separate services.
Frequently Asked Questions
Is ECS better than Elastic Beanstalk?
ECS gives more control and works well for container-first teams, while Beanstalk is simpler for small apps. The right answer depends on your team and the app, which we assess first.
Can we reuse our existing database?
Yes. Keep the database where it is and point the new service at it, as long as it is not tied to the Beanstalk environment lifecycle.
Does migration cause downtime?
It does not need to. Running both side by side and shifting DNS weights gradually keeps the old environment available.
Want Help With Migrate from Elastic Beanstalk to Amazon ECS?
Schedule an appointment. Tell us about your environment and we will outline the safest, highest-value approach.
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