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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

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speedscale

Flamegraphs Find It. Replay Proves It.

Aug 11, 2026 By Matt LeRay In Speedscale
I made an API endpoint 13 times faster. Then I realized my first verification only checked the status, headers, and response schema. I had not checked the totals. I had made the bug faster. That is the problem with giving an AI coding agent one kind of evidence. A CPU profile can show where the application is slow, but not whether an optimization preserves behavior. A traffic replay can prove that behavior stayed stable, but not explain why the code burns CPU. This walkthrough gives the agent two independent witnesses: Together, they turn AI code verification into an experiment with two independent checks.
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speedscale

The Pod Was Cheaper. The Service Wasn't.

Aug 11, 2026 By Matt LeRay In Speedscale
A smaller Kubernetes pod can lower allocation cost while completing less work. Green status codes and matching schemas can hide it. This walkthrough combines OpenCost allocation data with proxymock behavior and performance evidence. A candidate passes only when behavior and throughput hold while unit cost falls.
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manageengine

Platform engineering is not just a developer trend, but a practice ITOps should be paying attention to

Aug 11, 2026 By Monideepa Mrinal Roy In ManageEngine
Riya has managed IT operations at a mid-sized FinTech company for six years. She knows the infrastructure inside out: Every server, monitoring alert, and compliance requirement is owned by her team. So when Riya heard the engineering lead mention their new internal developer platform in a quarterly review, she assumed her team would be looped in eventually. This did not happen. Three months later, Riya's team was called in to investigate an outage.
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speedscale

Diagnose Serial N+1 API Calls With Tempo + proxymock

Aug 11, 2026 By Matt LeRay In Speedscale
One API request took 302 milliseconds. Nothing failed. CPU was mostly idle. The response was correct. The trace made the problem obvious: eight inventory calls, each waiting for the previous one. But the trace could not tell me why the application made eight calls, or whether changing their execution would preserve the response. It showed the shape of the wait, not the input that created it.
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Digital Sovereignty: Is your data really yours?

Aug 11, 2026 By Civo In Civo
Digital sovereignty is one of the most talked-about terms in cloud and AI right now. But what does it actually mean in practice? Civo Product Director Russ Smith gives his honest take: sovereignty isn't just about where your data is stored. It's about whether someone else can switch it off, access it, manipulate it, or determine what you can do with it. If they can, it's not sovereign.
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Cloud 66

What the Platform Team Actually Does When Everyone is an AI-Assisted Builder

Aug 11, 2026 By Kelley Schultz In Cloud 66
An AI model can write a fully functioning microservice in about fifteen seconds. If you hook it up to a pull request pipeline, it can generate migrations, write unit tests, and suggest refactors before your lead engineer has finished their first cup of coffee. We are entering an era of unprecedented code velocity. But code is not an application, and shipping is not operating.
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harness

Platform Engineering vs DevOps: How a Software Engineering Platform Unites Both | Harness Blog

Aug 11, 2026 By Eric Minick In Harness
DevOps is a culture and practice that gets development and operations teams to collaborate, automate, and ship software faster and more reliably. Platform engineering is the discipline that builds the internal tooling and self-service infrastructure that makes those DevOps practices repeatable at scale. Put simply: DevOps is the goal; platform engineering is one of the most effective ways to reach it across many teams. Your developers are shipping code faster than ever.
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harness

Software Delivery Platform Explained: Key Features and How to Evaluate One | Harness Blog

Aug 11, 2026 By Eric Minick In Harness
A software delivery platform is an integrated system that manages every stage of moving software from a code commit to production: continuous integration, continuous delivery, security, and the feedback loops in between. It treats delivery as one governed lifecycle instead of a chain of disconnected steps.
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cloudzero

Shipped: Cut the notification noise so real cost anomalies stand out

Aug 11, 2026 By Kevin Lamb In CloudZero
A view is scoped to the costs your team cares about, and now its notifications are too. Weekly and monthly trend summaries, and global anomaly alerts, only reach a channel when your team wants them there. That keeps a shared channel signal, not static, so the alerts that need action don’t get lost next to irrelevant updates. Your team decides, per view, which notifications reach its channel.
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cloudzero

LLM cost management: a practical guide for teams that own the budget

Aug 11, 2026 By Lyne Carolyne In CloudZero
LLM cost management is the practice of tracking, allocating, budgeting, and governing large language model spend so every dollar maps to a feature, team, and business outcome. It has five levels: provider visibility, business allocation, unit economics, model governance, and a continuous optimization loop. It matters because 68% of companies say AI initiatives ran over budget last year, and per CloudZero's 2026 survey, 30% of finance leaders still reconcile AI spend manually.
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