dashboardsFeatured
DORA Metrics Dashboard - Grafana Template
Pre-configured Grafana dashboard for tracking the four key DORA metrics: deployment frequency, lead time, MTTR, and change failure rate.
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Devops
Explore all content tagged with "Devops" across insights, frameworks, and resources.
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Featured
metricsFeatured
Deployment Frequency
Track how often your team deploys to production. A key DORA metric that indicates your team's ability to deliver value continuously.
comparisonsFeatured
AWS vs GCP vs Azure: Cloud Provider Comparison for CTOs
Strategic cloud provider comparison. Cost, services, hiring, enterprise features, and when to choose AWS, GCP, or Azure for your business.
comparisonsFeatured
Microservices vs Monolith: Architecture Decision Guide for CTOs
Strategic comparison of microservices and monolithic architectures. Team size, complexity, deployment, costs, and when to choose each approach.
•18 min read•
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wardley-mapsFeatured
Platform Engineering Evolution: From Custom Scripts to Self-Service
A Wardley map showing the evolution of platform engineering capabilities, from basic scripts to sophisticated developer platforms.
•5 min read•
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All Devops
insights
Jenkins vs Tekton: How CTOs Choose a CI/CD Engine That Scales With Kubernetes
Jenkins vs Tekton: How CTOs Choose a CI/CD Engine That Scales With Kubernetes
•12 min read•
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insights
Buildkite vs GitHub Actions: a CTO’s guide to compute, cost, and control
Buildkite vs GitHub Actions: how does Buildkite compare to GitHub Actions?
•13 min read•
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insights
Agentic AI Is Entering Production, and CTOs Are Being Forced Into FinOps, Reliability, and Governance
Agentic AI is moving into core workflows (DevOps, analytics, cyber defence), and the limiting factor is no longer model quality.
•3 min read•
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insights
From Chatbots to Governed Agents: The New Enterprise AI Stack CTOs Are Building Right Now
Engineering orgs are rapidly productizing AI agents that take actions across internal systems, forcing a new stack: tool-connected agents, reliability guardrails, and governance that is contextual...
•4 min read•
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insights
CircleCI vs Argo CD: What CTOs Should Choose, and When to Use Both
CircleCI vs Argo CD: what CTOs should choose, and when to use both
insights
Argo CD vs Azure DevOps: What CTOs Should Choose for Kubernetes Delivery on Azure
Argo CD vs Azure DevOps: what CTOs should choose for Kubernetes delivery on Azure
•13 min read•
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guides
Engineering Metrics Dashboard Guide: A DORA Metrics Calculator CTOs Can Actually Run
Engineering Metrics Dashboard Guide: a DORA metrics calculator for engineering team performance
•12 min read•
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insights
What Team Do You Need in the Age of AI? A CTO Model for Building, Shipping, and Governing AI-Native Software
In 2024 and 2025, I watched teams cut sprint scope by 30 percent, then ship slower. They added copilots, generated more code, and opened more pull requests. Review queues grew. Incidents rose.
•13 min read•
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insights
AI Is Becoming a Production Actor in the SDLC—So CTOs Need Oversight, Debt Triage, and Platform-as-Product Thinking
AI is rapidly becoming a first-class production actor in software delivery—generating code, operating parts of the pipeline, and changing what “good” engineering performance looks like.
•3 min read•
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insights
When AI Makes Code Cheap, Governance Becomes the Bottleneck (and Observability the Control Plane)
AI is compressing the cost and cycle time of producing code, pushing CTOs to treat software delivery less as “writing” and more as governed change—instrumented, policy-driven, auditable, and...
•3 min read•
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insights
AI Is Becoming an Ops Substrate: Architect for Model Churn, Not Model Choice
AI is moving from a product feature to an operational substrate: models are updating faster and getting cheaper, while tooling vendors embed AI into DevOps, observability, and data stacks—forcing...
•3 min read•
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insights
Trust as Infrastructure: Why Observability, Compliance, and Supply-Chain Risk Are Colliding in 2026
Trust is becoming an architectural requirement: organizations are tightening end-to-end pipeline observability for compliance while simultaneously reassessing vendor and AI supply-chain exposure amid...
•3 min read•
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