Traditional CI/CD planning is often limited to tools and environments, but a broader, organizational perspective is required for enterprise success.
Conway's Law demonstrates that a system's architecture will mirror the organization's communication structure, making team topologies a critical starting point.
A comprehensive environment strategy must consider not just names but also structure, ownership, and access levels, which directly impacts tooling requirements.
The choice between strategies like trunk-based development or GitFlow depends on the application architecture, repository design, and access management policies.
Continuous delivery involves a manual approval step before production, whereas continuous deployment is fully automated, requiring different quality gates and deployment strategies.
Artifact management involves decisions on storage, naming conventions, and retention policies, which can be dictated by industry compliance requirements.
The CI/CD process must define quality gates, whether manual or automated, and establish clear responsibilities and escalation paths for failures.
Designing a CI/CD process requires assessing team maturity and knowledge alongside business, technical, and security constraints that shape what is possible.
Release strategies must account for business constraints like approval windows, and a clear plan for rollbacks and roll-forwards is essential for system stability.
Key performance indicators like SLAs and SLOs, particularly the four DORA metrics, provide objective measurements of CI/CD process throughput and stability.
Viewing the CI/CD pipeline as the core of a value stream allows teams to map the entire process and identify waste and bottlenecks for improvement.
Security must be a core part of the CI/CD architecture, covering secrets management, dependency scanning, SBOM generation, and secure tool integrations.
The mind map of CI/CD components serves as a shared language or "Rosetta Stone" to facilitate discussion and alignment between all stakeholders.
The speaker answers audience questions on topics including the future role of AI, preferred monitoring stacks, popular scripting languages, and multi-cloud strategies.
30:46Josh Armitage
58:40Christian Strack
26:16Graziano Casto
45:04Hennie Francis
46:06Dominik Kress
57:53Jacob Duijzer
34:46Bruno Amaro Almeida
34:39Robert Hoffmann
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