Migrating Your Old Server Products to Be Stateless Cloud Services
summary
Migrates Jira Data Center VMs into AWS using Packer, Ansible, Terraform to produce AMIs, Terraform modules to instantiate VPCs/ALBs/ASGs with RDS and EFS, and built AMIs and CI/CD via Bitbucket Pipelines that run plan/apply and redeploy instances. Uses Datadog via Terraform for monitors. Migration succeeds overall, delivering managed RDS/EFS and easier autoscaling, but has real hiccups—forgot DNS ownership, NFS permission breakage, and a few rollbacks—and adds a queued CloudFront/API‑Gateway/Lambda/SQS fallback so users can still create tickets when Jira is down.
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chapters (43)
- 0:00Introduction
- 1:36About Atlassian
- 2:20Customer Support Technology Team
- 3:04JIRA Datacenter
- 3:34Backstory
- 3:59What does this mean
- 4:46Before
- 6:36The problem
- 6:51We are not robots
- 7:18How will we do that
- 8:05Why AWS
- 8:33Five Layers
- 8:53Tooling
- 9:13Orchestration
- 9:29Cloud Formation vs Teraform
- 11:02Teraform
- 11:44Puppet vs Ansible
- 12:13Config Management
- 12:31Machine Images
- 13:03Provisioners
- 13:44Manual Configuration
- 15:07Creating PreProduction Environments
- 15:52Terraform
- 16:32Modules
- 16:51InputsOutputs
- 17:53Audit Log
- 18:13CICD Pipeline
- 18:50Terraform Pipeline
- 19:38Packer Deployment
- 20:02Monitoring
- 20:51Scaling Up Monitoring
- 21:17Terraform Datadog
- 22:04Migrations
- 23:02How we did it
- 24:20Migration failures
- 25:32Migration planning takeaways
- 27:11Automate everything
- 28:00Success
- 29:01Improvements
- 30:02JIRA Alternative
- 30:54Recap
- 32:01Key takeaways
- 32:40QA
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