Operations | Monitoring | ITSM | DevOps | Cloud

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.

Meet Loom

When something breaks on a large network, the alerts arrive from every direction. Routers, firewalls, cloud gateways, and applications each report their own symptoms. The evidence that explains the incident is scattered across anomalies, configuration changes, topology, and past incidents, and an engineer has to piece it together by hand. Loom is the correlation and root cause agent in Selector Foundry, the agentic NetOps platform built on Selector’s existing AIOps and Observability platform.

What's New in Scout: October 2026

October was about making Scout’s data easier for AI tools to use and easier for your team to trust. Scout is now in Claude’s connector directory, the MCP server got leaner and more careful about what it returns, and Scout Trails opened its beta. Anomaly Detection also became easier to read and better at catching short spikes. Here’s what shipped in October.

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.

AI Visibility Checkers for Engineering-Led Teams: 7 Best in 2026

Somewhere in your edge configuration there is a rule nobody remembers writing, and it is deciding whether ChatGPT can read your documentation. That is the thesis of this list: AI visibility, meaning whether assistants such as ChatGPT, Gemini and Perplexity name your product when a buyer asks for one, has become partly an infrastructure problem, and the two failure modes that matter most sit on the engineering side of the house. The first is reachability, because a WAF default that returns 403 to GPTBot or ClaudeBot removes you from retrieval as surely as a robots.txt disallow.

3 Best Companies for Custom Warehouse Software Development

Custom warehouse software exists because off-the-shelf doesn't always cut it. Businesses use it for inventory management, daily operations coordination, and better order fulfillment. Standard warehouse management systems (WMS) cover common processes - but specialized workflows, multiple facilities, complex integrations? Companies dealing with those often need a solution built specifically for them.