Journal

What Is an SLO? A Practical Guide for Platform Teams

A plain answer to what an SLO is, how error budgets and burn-rate alerts work, and how to wire the number into rollouts so releases stop themselves.

What Is Canary Deployment? A Practical Guide for SREs

A canary deployment ships a change to a small slice of traffic and widens it only if the metrics hold. Steps, gate metrics, and the traps that blind teams.

What Is a Feature Flag? An SRE's Answer, With Code

A feature flag turns a release into a dial. Here is what it is, the four types, how SREs use it to shrink blast radius, and how flag debt bites.

What Is Trunk Based Development? A Field Guide for SREs

What trunk based development demands in practice: daily merges, feature flags, fast CI and observability, plus the cases where it is the wrong call.

What Are DORA Metrics? A Practical Guide for SRE Teams

DORA metrics are five delivery measures: lead time, deployment frequency, recovery time, change fail rate and rework rate. Here is how to use them well.

What Is Technical Debt: A Platform Engineer's Honest Look

For platform engineers, technical debt is not a code quality score. It is a deployment risk that compounds, inflates blast radius, and surfaces in incident post-mortems.

What Is Platform Engineering and When Does It Pay Off?

Platform engineering is the discipline of building internal developer platforms. Covers team structure, DORA metrics, golden paths, and whether your IDP investment is actually working.

Monorepo vs Polyrepo: What the Blast Radius Tells You

Monorepo or polyrepo: 320 teams benchmarked, the blast radius math, and the 30% rule that high-performing platform teams actually use.

Action Items: The Part of Post-Mortems Nobody Gets Right

Post-mortem action items fail not because teams skip the review. They fail because items lack named owners, live in docs nobody reads, and never land in sprint work where engineering actually happens.

What Are Feature Flags? A Field Guide for Platform Teams

Feature flags let you ship code to production without exposing it to users. Here is a precise, operational guide to how they work and where the failure modes actually live.

AI Assisted Development: Closing the Rollout Safety Gap

Platform teams shipping AI-generated code face failure modes standard error rate and latency gates were not designed to catch. Here is what to instrument instead.

AI Coding Productivity: What the SLO Budget Tells You

AI boosts coding output 33-98%. Incidents per PR are up 242%. Here is what the SLO budget measures when your team runs on Copilot or Cursor and deployment frequency climbs.

AI Technical Debt Is Wrecking Platform Reliability

AI tools now write 41% of production code. Technical debt grows 30-41% after adoption. How platform teams detect and fix AI technical debt.

Cyclomatic Complexity: A Rollout Risk Signal, Not a Gate

Most teams treat cyclomatic complexity as a static CI gate. Here's why the complexity delta per diff predicts rollout risk far better than a flat threshold ever will.

8 AI Agent Examples Platform Teams Run in Production

A field guide to AI agent examples that platform teams actually run in production: rollback, triage, diagnostic, and runbook agents, with where each one breaks.

Code Refactoring Techniques That Hold in Production

Code refactoring techniques are not about clean code aesthetics. They are about reducing the surface you have to debug at 3am. Here is what actually works in continuous deployment environments.