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

Anthropic Shipped An Enterprise Analytics API. We Shipped the Claude Adapter Today.

May 15, 2026 By Scott Castle In CloudZero

Anthropic just shipped an Enterprise Analytics API with user-level token and cost data. Today, we're shipping the CloudZero adapter that maps that data to teams, budgets, and cost centers — so Claude spend gets the same accountability as the rest of your stack. Anthropic released the first beta of its Enterprise Analytics API this week. Admins can pull token usage and dollar cost through a programmatic endpoint, broken down by user, model, context window, region, and product surface.

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CloudZero

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Why agentic AI development needs reliability guardrails

May 15, 2026 By Gavin Cahill In Gremlin

AI has massively accelerated code deployment. In fact, since the introduction of agentic coding, GitHub has seen exponential growth in PRs, commits, and new repos. What they originally predicted would require 10X capacity, they’re now estimating it’s going to require 30X capacity, and the biggest driver is agentic development. Companies across industries are building agentic pipelines to ship features faster than ever before. That acceleration isn’t without risk.

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Gremlin

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There's an npm-shaped hole in the AI tooling stack

May 15, 2026 By Dylan Etkin In Sleuth

I've had this same conversation with 60+ engineering teams in the last six months. A team adopts AI tooling. One developer figures out how to use it well, builds up a vault of skills, MCP configs, and slash commands that 10x their output. The rest of the team has whatever they can scavenge from a shared Notion doc.

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Sleuth

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Resolve's Zero Ticket Minute - Ep. 22

May 15, 2026 By Resolve In Resolve

In this week’s Zero Ticket Minute: everyone is building AI agents, but no one is coordinating them. More agents = more chaos. The shift is to connect signal to resolution. That’s how you reduce tickets.

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Resolve

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The "Free" AI Tool That Will Ruin Your Code#speedscale #aiagents #aicoding #devops #softwareengineer

May 15, 2026 By Speedscale In Speedscale

Relying on AI and interns to build custom traffic replay tools is a scalability nightmare that introduces security risks, brittle code, and massive maintenance costs...use Speedscale instead. Learn more: speedscale.com.

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Speedscale

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What broke when engineering went fully agent-based

May 15, 2026 By Rootly In Rootly

Last year, we went fully agent-based at Rootly. Cursor, Claude Code, Codex, all of it. The productivity gains were real. However, Rigel, senior engineering manager at Rootly, started noticing a pattern emerging in his team.

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Rootly

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What cloud portability actually means and how to achieve it

May 15, 2026 By Upsun In Upsun

Having workloads on two clouds is not the same as being able to move workloads between them freely. Portability is about the friction of movement, not the number of providers in use. Most teams that call themselves multicloud are not portable. They have separate workloads siloed on separate providers, each with its own toolchain, deployment pipeline, and set of operational conventions. Moving anything between those environments means starting from scratch. That is not portability.

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Upsun

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Cursor Cloud Agents Are Incredible - Until You Need Production Governance

May 15, 2026 By Romaric Philogene In Qovery

Cursor Cloud Agents are the best AI coding environment for individual developers. But for enterprises that need AI-written code to ship through staging to production with audit trails, RBAC, and compliance - there's a gap. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

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Qovery

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How Engineering and Ops Teams Use OKRs to Connect Technical Work to Business Outcomes

May 15, 2026 By OpsMatters In OpsMatters

Engineering and operations teams have a measurement problem that most other functions don't. The technical metrics are excellent. Deployment frequency is up. MTTR is down. Uptime is at 99.97%. The CI/CD pipeline is running cleanly and the on-call burden has been reduced by 30% since the team adopted a proper incident management process. By every internal measure, the team is performing well. And yet, in the quarterly business review, the conversation keeps returning to the same uncomfortable question: what did engineering actually deliver for the business this quarter?

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OpsMatters

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The FinOps Competitive Landscape in 2026 - When Cost Optimization Meets Reliability

May 14, 2026 By Ilan Adler In Komodor

The dashboard says you can save 30%. The SRE team won’t sign off. You’ve probably been in this meeting. Finance has a number. The platform team has a scar. Somewhere between them sits a senior manager, maybe you, being asked to choose a cost optimization tool that one side will champion and the other side will quietly refuse to deploy in production. The standoff isn’t about price. It’s about trust.

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