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The best professional compliment I ever got was that I should be writing code for generation ships flying to Alpha Centauri.
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A system that only keeps running because a person is continuously holding it up is not working.
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A résumé parser matches tokens, not competence.
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We are not paid to solve interesting engineering problems.
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Most people gamble on success — they assume the thing will work, and they're genuinely surprised when it doesn't.
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What's in git is what's in your infrastructure — or alarms are sounding.
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Incident response is either an engineering discipline — measured, quantified, repeatable, owned, evaluated — or it is a craft a few heroes practice and nobody else can duplicate.
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Larry Wall built Perl around a principle: no unnecessary limitations.
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Run terraform plan against infrastructure nobody has touched in a month and watch it propose changes.
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The specialize-versus-unify argument feels like a religious war.
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An acceptance test run once before deploy proves the data was correct for one instant.
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Google OAuth has two surprises that make every internal-service auth story uglier than it should be.
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The role-based incident-response model Jesse Robbins brought from the fire service into web operations, written down from memory as I learned it.
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You can identify a programmer's native language by the tools they build.
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The difference between a system that can fail and a system that does fail is time.
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Long-running branches are an anti-pattern.
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A control repository is a git repository whose contents declare what should be running, intended to be reconciled by an automated controller.
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Everything in Web3 is something you already know.
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There is no such thing as a "highly resilient database" in the abstract.
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Security and infrastructure are not two disciplines that happen to overlap.
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Four observability signals that get thrown around interchangeably.
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When something has been failing for a while despite competent people working on it, the problem is almost certainly not competence.
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Centralized, imperative orchestration requires centralized coordination, and centralized coordination is a bottleneck that doesn't scale.
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OpenTelemetry does not replace Prometheus.
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Distributed tracing captures the complete journey of a single request as it passes through multiple services, enabling latency analysis, error propagation tracking, and root cause analysis across complex architectures.
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GitOps is not just keeping YAML in git.
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A deep comparison of the architectural differences between FluxCD and ArgoCD for experienced Kubernetes platform engineers, covering CRD design, state management, controller models, and where each tool wins.
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A reference implementation for GitHub Actions CI/CD pipelines covering automated testing, linting with golangci-lint and namedreturns, semantic versioning, automatic releases, and caching strategies.
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A collection of useful shell functions and aliases for Kubernetes debugging and daily operations, from context switching to JWT decoding to Prometheus config extraction.
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Security, reliability, and compliance are non-negotiable.
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How to provision Kubernetes clusters on Talos Linux with OIDC-based AWS IRSA integration using Terraform, enabling cross-cloud workloads that authenticate to AWS services without static credentials.
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A reflection on how learning to program as a small business owner built the FITFO skill -- the ability to figure things out from scratch -- which became the foundation of a DevOps career.
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Many of Golang's unwritten rules can be summed up by the Go Proverbs.
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A Terraform pattern for automatically selecting the newest AMI that is at least two weeks old, enabling a rolling window approach to AMI updates that avoids deploying untested images to production.
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Documentation is like pizza -- when it is good, it is really good, and when it is bad, it is still pizza.
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Operational notes on running the Vault Operator in Kubernetes, covering CRD configuration, secrets management, authentication testing, and Cert Manager integration.
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TDD is not just about writing tests before code -- it is about alternating between tests and code so that you write code in discrete, testable units and capture every insight as an automated check that lives in your codebase forever.
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This is about design philosophy and how to approach your work.
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Secrets management is an important job, but it sucks.
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Potentially timesaving tips and tricks for Python development on MacOS, covering virtual environments, Homebrew setup, and IDE configuration with JetBrains tools.
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A single script that creates a full OpenStack Liberty cloud from nothing, demonstrating an infrastructure-as-code approach to cloud deployment.
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A simple trick to link your IDE terminal with your project's virtual environment, so command-line tools automatically use the same Python and libraries as your IDE.
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A hands-on guide to spinning up an n-way multi-master LDAP directory for centralized access and identity management, covering server setup, replication, ACLs, and schema configuration.
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A system for building self-updating command-line tools that automatically download, verify, and replace themselves with the latest version using checksums and GPG signatures.
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A trick for using CircleCI 1.x build artifacts as a Maven repository by fetching dependency artifacts and installing them into the local Maven cache.
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How I built a system to impersonate the AWS metadata service on developer laptops, providing passwordless, expiring STS credentials linked to user identities via SSH key authentication.