Why DevOps transformations fail
and how to get it right
1/14/20261 min read
Most organisations don’t fail DevOps because of technology. They fail because they treat DevOps as a toolset instead of an operating model.
After years delivering DevOps programmes in finance, insurance and retail, we see the same patterns repeat.
The Common Failure Points
1. Tooling before outcomes
Teams buy pipelines, monitoring and Kubernetes before defining what “good” looks like: lead time, release frequency, reliability.
2. Central teams with no product ownership
A DevOps team serving hundreds of apps becomes a ticket factory instead of an enabler.
3. Ignoring data & testing
Automation without quality gates simply releases bad code faster.
A Practical Approach
Start with value streams, not technology
Create platform engineering capabilities as products
Embed SRE practices early
Measure four metrics:
Deployment frequency
Lead time
Change failure rate
MTTR
The 90-Day Plan
Weeks 1–2: Assessment, value stream mapping
Weeks 3–6: CI/CD foundations, environments as code
Weeks 7–10: Automated testing & security
Weeks 11–12: Observability and release governance
DevOps is about flow and feedback. Get those right and the tooling follows naturally.
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