Cloud Infrastructure, DevOps, and Platform Engineering Resources
Kubernetes DRA graduated to GA in v1.34, replacing legacy device plugins. Here's what the DRA + KAI Scheduler stack means for platform teams running GPU …
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A platform engineering comparison of GitHub Actions, CircleCI, and GitLab CI in 2026 — runner models, pipeline syntax, caching, cost structure, self-hosted …
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A developer-focused comparison of the four major local Kubernetes options — minikube, kind, k3d, and Rancher Desktop — covering resource use, startup time, …
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A platform engineering comparison of GitHub Actions and GitLab CI — runner architecture, secrets, pipeline syntax, self-hosted runners, cost, and enterprise …
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An honest comparison of Terraform and Pulumi for platform engineering teams — covering language model, state, provider ecosystem, and the team dynamics that …
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A working checklist for hardening Docker and OCI containers in production — non-root users, read-only filesystems, capability dropping, seccomp, image scanning, …
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A practical look at why teams adopt multiple Kubernetes clusters, the leading management tools, and when running a single larger cluster is the smarter choice.
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Service mesh is one of the most over-marketed categories in cloud-native software. Here's what they actually do and when they're worth the complexity.
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Three autoscaling mechanisms with different jobs. Knowing which one applies to which workload is foundational for running Kubernetes at scale.
Read more →An honest comparison of Terraform and Pulumi for platform engineering teams — covering language model, state, provider ecosystem, and the team dynamics that …
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Platform teams that don't measure their impact lose budget. Here's what to measure and how to interpret the numbers.
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Internal developer platforms are the artifact of platform engineering. Here's what they contain and what makes them succeed.
Read more →Kubernetes DRA graduated to GA in v1.34, replacing legacy device plugins. Here's what the DRA + KAI Scheduler stack means for platform teams running GPU …
Read more →A working checklist for hardening Docker and OCI containers in production — non-root users, read-only filesystems, capability dropping, seccomp, image scanning, …
Read more →
The container runtime under your Kubernetes cluster matters less than it used to, but the choice still affects performance, security posture, and operational …
Read more →A platform engineering comparison of GitHub Actions, CircleCI, and GitLab CI in 2026 — runner models, pipeline syntax, caching, cost structure, self-hosted …
Read more →A platform engineering comparison of GitHub Actions and GitLab CI — runner architecture, secrets, pipeline syntax, self-hosted runners, cost, and enterprise …
Read more →
Tekton runs pipelines as Kubernetes-native resources. For teams already committed to Kubernetes, it's a compelling option — with caveats.
Read more →A developer-focused comparison of the four major local Kubernetes options — minikube, kind, k3d, and Rancher Desktop — covering resource use, startup time, …
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Dev Containers package development environments in a way that anyone on the team can use. Here's what they're good for and where the model breaks down.
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OpenTelemetry has emerged as the standard for instrumentation. Here's how to add it to your services without breaking what's already working.
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