---
title: "Posts about devops | Speedscale"
description: "Browse posts in the devops category."
canonical: "https://speedscale.com/blog/category/devops/"
---

# Posts about devops

Browse 36 posts in this category

[![How We Rebuilt GitLab CI on GKE Spot VMs](https://speedscale.com/_astro/featured-image.Yj38EbKH_ZkxAu5.webp)](https://speedscale.com/blog/rebuilding-gitlab-ci-on-gke/)

Oct 1, 2026

### [How We Rebuilt GitLab CI on GKE Spot VMs](https://speedscale.com/blog/rebuilding-gitlab-ci-on-gke/)

How we moved GitLab CI to GKE with shared BuildKit caching, multiple Spot machine types, and an on-demand fallback for scarce capacity.

[DevOps](https://speedscale.com/blog/category/devops/) [Kubernetes](https://speedscale.com/blog/category/kubernetes/)

[by Shaun Duncan](https://speedscale.com/blog/author/shaun-duncan/)

[![Team-Based DLP: Give Each Group Its Own Redaction Rules](https://speedscale.com/_astro/featured-image.D71Ji1-z_2b5hc6.webp)](https://speedscale.com/blog/team-based-dlp-group-rules/)

Sep 18, 2026

### [Team-Based DLP: Give Each Group Its Own Redaction Rules](https://speedscale.com/blog/team-based-dlp-group-rules/)

One forwarder, many teams, one DLP rule nobody wants to touch. Scoped group rules let each team own its redaction. How-to for proxymock web and Speedscale.

[Security](https://speedscale.com/blog/category/security/) [Kubernetes](https://speedscale.com/blog/category/kubernetes/) [DevOps](https://speedscale.com/blog/category/devops/)

[by Matt LeRay](https://speedscale.com/blog/author/matt-leray/)

[![Five Ways to Use OpenTelemetry Beyond Observability](https://speedscale.com/_astro/featured-image.BaNww2J5_Z1wvIug.webp)](https://speedscale.com/blog/opentelemetry-beyond-observability/)

Sep 11, 2026

### [Five Ways to Use OpenTelemetry Beyond Observability](https://speedscale.com/blog/opentelemetry-beyond-observability/)

Teams run inventory, security logs, request routing and billing through OpenTelemetry. Five non-observability uses, and the failure mode of each.

[Observability](https://speedscale.com/blog/category/observability/) [DevOps](https://speedscale.com/blog/category/devops/) [Developer tools](https://speedscale.com/blog/category/developer-tools/)

[by Matt LeRay](https://speedscale.com/blog/author/matt-leray/)

[![Your Observability Stack Found the Fire. Congratulations.](https://speedscale.com/_astro/observability-war-room-fire.BzecHNk2_Z2fX2oC.webp)](https://speedscale.com/blog/your-observability-stack-found-the-fire/)

Aug 27, 2026

### [Your Observability Stack Found the Fire. Congratulations.](https://speedscale.com/blog/your-observability-stack-found-the-fire/)

Observability tells you when production is on fire. Capturing and replaying real traffic lets you recreate the incident, verify the fix, and keep it fixed.

[Observability](https://speedscale.com/blog/category/observability/) [DevOps](https://speedscale.com/blog/category/devops/) [Microservices](https://speedscale.com/blog/category/microservices/)

[by Alan Mon](https://speedscale.com/blog/author/alan-mon/)

[![Reliability Engineering in the AI Era](https://speedscale.com/_astro/featured-image.CYEKxqH2_qHAS.webp)](https://speedscale.com/blog/drop-the-site/)

Aug 19, 2026

### [Reliability Engineering in the AI Era](https://speedscale.com/blog/drop-the-site/)

See why reliability engineering must span code, testing, telemetry, and incidents as AI agents erase the boundary between pre-production and production.

[AI/ML](https://speedscale.com/blog/category/ai/ml/) [DevOps](https://speedscale.com/blog/category/devops/) [Observability](https://speedscale.com/blog/category/observability/)

[by Matt LeRay](https://speedscale.com/blog/author/matt-leray/)

[![The Best Model Is a Routing Decision](https://speedscale.com/_astro/featured-image.Wst2jXY9_Zi2dOJ.webp)](https://speedscale.com/blog/the-best-model-is-a-routing-decision/)

Jul 27, 2026

### [The Best Model Is a Routing Decision](https://speedscale.com/blog/the-best-model-is-a-routing-decision/)

The best model isn't the smartest — it's whichever should get the next unit of work. Notes from NVIDIA on routing, local models, and the AI factory.

[AI/ML](https://speedscale.com/blog/category/ai/ml/) [Developer tools](https://speedscale.com/blog/category/developer-tools/) [DevOps](https://speedscale.com/blog/category/devops/)

[by Matt LeRay](https://speedscale.com/blog/author/matt-leray/)

[![AI writes code in seconds, but delivery still takes days](https://speedscale.com/_astro/featured-image.CUbqngAy_Zc4ROT.webp)](https://speedscale.com/blog/ai-delivery-bottleneck/)

Jul 9, 2026

### [AI writes code in seconds, but delivery still takes days](https://speedscale.com/blog/ai-delivery-bottleneck/)

AI pushed throughput up 59%, yet median delivery got worse. The bottleneck moved to validation. How replaying production traffic in CI closes the gap.

[AI/ML](https://speedscale.com/blog/category/ai/ml/) [Observability](https://speedscale.com/blog/category/observability/) [DevOps](https://speedscale.com/blog/category/devops/)

[by Ken Ahrens](https://speedscale.com/blog/author/ken-ahrens/)

[![The Three Pillars Were Built for Humans](https://speedscale.com/_astro/featured-image.CptaBza4_ZY25X9.webp)](https://speedscale.com/blog/three-pillars-were-built-for-humans/)

Jun 30, 2026

### [The Three Pillars Were Built for Humans](https://speedscale.com/blog/three-pillars-were-built-for-humans/)

Metrics, logs, and traces were built for humans and cheap storage. AI inverts both assumptions, and the next maturity level is a deterministic replay sandbox.

[Observability](https://speedscale.com/blog/category/observability/) [AI/ML](https://speedscale.com/blog/category/ai/ml/) [DevOps](https://speedscale.com/blog/category/devops/)

[by Matt LeRay](https://speedscale.com/blog/author/matt-leray/)

[![Five things your logs will never tell you](https://speedscale.com/_astro/featured-image.Cio0vqtT_Z2cH2l6.webp)](https://speedscale.com/blog/five-things-your-logs-will-never-tell-you/)

Jun 16, 2026

### [Five things your logs will never tell you](https://speedscale.com/blog/five-things-your-logs-will-never-tell-you/)

Logs, metrics, and traces are a lossy compression of production. Five things you can do with a traffic data lake that observability can't.

[Observability](https://speedscale.com/blog/category/observability/) [API testing](https://speedscale.com/blog/category/api-testing/) [DevOps](https://speedscale.com/blog/category/devops/)

[by Matt LeRay](https://speedscale.com/blog/author/matt-leray/)

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