Observability Golden Paths to Observability: What Platform Engineering Actually Delivers (and What It Doesn't) DORA's 2024 data shows internal developer platforms reduce change throughput by 8% and stability by 14%. Build the platform anyway — but for governance and consistency, not for productivity. Here's why the distinction matters.
Observability The 2019 Baseline: What the Books Said vs. What Your Team Actually Ran In 2019, a wide and well-documented gap separated what DORA and Google SRE recommended from what most engineering teams actually ran. Here's what the baseline looked like — and why it matters for benchmarking where you are today.
DevOps Trust Was Always the Problem: From DevOps to Agentic AI DevOps adoption stalled not due to tooling, but a lack of trust. We're seeing the same pattern with agentic AI – capability isn’t the blocker, it’s building trustworthy infrastructure.
DevOps Your CI/CD Pipeline Is Already Cognitive Scaffolding CI/CD isn't just about delivery; it’s cognitive scaffolding—a system of tools that distributes and preserves team knowledge, boosting capability over time. Think version control, tests, & pipelines as more than tooling!
DevOps DevOps Was Always a Trust Problem DevOps wasn't about tools—it was a trust problem. Leaders often didn’t trust their development teams, hindering adoption despite mature technology.
agile False Dichotomies Are the Enemy of Progress Stop falling for false choices like Agile vs. Waterfall! These "either/or" debates stifle progress and ignore the nuance of real-world projects.
efficiency Automation Is a Professional Obligation, Not an Optimization Automation isn't an optimization—it’s a professional standard. Manual processes become ingrained, creating bottlenecks & dependencies; automating is the baseline, not an extra step.