Software Deployment for Efficient Release Lifecycle: Part 2
The “pathway to deploy,” or process, involves many complex stages and decisions that might affect an organization’s capacity to provide software rapidly, consistently, and at scale
Enterprise cloud-native software development is constantly changing, thus this post gives a maturity model and building blocks to speed the software supply chain lifecycle
Automation is a good place to start because infrastructure and pipeline automation are self-contained inside the development team Building an enterprise database of CI/CD/CT and Ops patterns with tooling integrations to automate core development
Architecture review and other review processes are updated to institutionalize pattern-centric architecture representations, with a backlog for platform engineering and CCC to develop these patterns as code
Integration of cross-functional teams like security, compliance, and FinOps is done through automation, tooling, defined patterns, or self-service
Product teams could conduct self-service or DevOps pipeline automation to determine compliance posture and automatically capture review data
Nonfunctional requirements include AuthN/AuthZ, multi-region active-active software deployment, security at rest and in transit, tracing, logging, monitoring, dashboards, alerting, failover automation, and health checks