Transforming IT pros to DevOps gurus: Ssecure your new tech stacks
summary
Large enterprise legacy systems migrate to an AWS cloud-native pipeline that turns a one-off $500 proof-of-concept into a product serving hundreds of organizations and thousands of customers. Architecture uses EC2/ECS, Docker containers, RDS, used Trend Micro Deep Security and Sumo Logic for logging, Atlassian/Bitbucket + Ansible, and CloudFormation + CI/CD pipeline to deploy infrastructure as code. Team reports dramatic cost and speed gains (one example: $20k server vs $500 proof) and claims sub-minute recovery from failures, enabling production-grade multi‑AZ microservices that run in customer environments.
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chapters (37)
- 0:00Introduction
- 1:28Jason Credit
- 2:38Jasons cloud adoption lifecycle
- 3:43Jasons background
- 5:44Traditional IT model
- 8:31Security
- 9:56Trust
- 11:29CFO problems
- 14:29Purpose an IT
- 16:13Cloud speed
- 18:03Cloud comfortable
- 21:34Elasticity
- 23:03TRC
- 27:52Coding
- 29:22Learning new tools
- 32:32Fence throwing
- 34:25Cloud sprawl
- 35:59After cloud comfortable
- 37:01Private company
- 38:04Pivot
- 39:12Factory
- 40:37Code
- 42:07Containers
- 43:00Security integration
- 43:32Microservices architecture
- 45:57Three takeaways
- 46:35Moving from firefighting to innovating
- 47:51Why transformation is important
- 49:09AWS Cloud Adoption Framework
- 49:47Perspectives
- 52:44Modern Application Development
- 54:15What is Modern Application
- 54:52The 4 Stages of Modern Application
- 56:47What makes this all possible
- 57:26Code services
- 58:58Code commit
- 59:35Make changes at source
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