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

Shipped: Slice AI spend eight ways in AI Explorer

You can already break down cloud spend by team, product, or customer in Explorer. But AI spend has been harder to decompose. Which models is each team running? What activity is driving the cost growth you saw this month? Before AI Explorer, answering those questions meant exporting raw event data and building your own breakdowns, or waiting days for reconciled billing to land in Explorer.

Adding friction to your AI spend isn't saving money. It's costing you growth.

Enterprises are putting hard ceilings on AI spend. Accenture now centrally funds $29 a month per person for Claude and charges anything above that to a project budget code. Uber used up its 2026 AI budget in four months and restricted access. A cap stops waste and useful work at the same rate. The alternative is seeing AI cost by team, by project and by outcome, then funding what returns. Companies spent the past year telling employees to use more AI. Now a lot of them are putting a lid on it.

Test AI-Generated Code with Real Traffic#aiagents #devops #observability #shiftleft #softwaretesting

AI can generate code in seconds, but testing it against real production behavior is where developers get stuck. Learn how capturing and replaying actual production traffic in development helps you catch bugs before you deploy!

Strengthening the Security of Qovery's Access to Your AWS Account

Qovery now sends your organization ID as the sts:ExternalId when it assumes the IAM role in your AWS account, and the role's trust policy only accepts it on behalf of your organization. Your role is already updated. If you manage it with the qovery-role-creation CloudFormation stack, update the stack to the latest template. Romain is a staff engineer at Qovery working on the control plane and AI integrations. He writes about distributed systems, incident response, and MCP-based tooling.

Policy as code for AI coding: How to turn engineering standards into guardrails for AI agents

Key Takeaways Engineering standards exist in every organization. They cover how services communicate, how secrets are managed, who reviews changes before they merge, and what "production-ready" means. The problem is where those standards live: wiki pages, onboarding docs, the memory of whoever happens to review a pull request that day. Conventional enforcement depended on reviewer knowledge, which varied across teams.

One Platform, Three Borders: Multi-Tenancy Isolation on Cycle

When it comes to multi-tenancy isolation, most platforms only support one approach, and you have to make it work for every customer. Usually that means either all tenants share the same infrastructure and rely on the application to keep them apart, or every customer gets a separate stack that your ops team has to deploy, patch, and monitor on its own. Both approaches work. The trouble is that they're rigid.

Internet2's certificate authority (eMudhra) is being distrusted

On Tuesday, October 27, Chrome will distrust an eMudhra root certificate, emSign ECC Root CA - G3. Mozilla already did. Most of the people who have to deal with it run IT at American universities. They get their certificates from InCommon, the certificate service Internet2 runs for higher education. The certificates say Internet2 on them, but since April, eMudhra, an Indian certificate authority, has issued them.