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ChatGPT’s tools and workspace features failed for users around the world on September 14, 2026, with the message “Some tools are temporarily unavailable” blocking spreadsheet and document creation, Codex, Projects, file reading, and dictation while core chat largely kept working. StatusGator sent an Early Warning Signal at 14:41 UTC, 1 hour and 17 minutes before OpenAI publicly acknowledged the incident at 15:58 UTC.

When profits miss plan, marketing is the budget line most likely to be cut. The CMO Survey found that marketing expenses are cut 45.4% of the time in that scenario, more often than any other expense category. Most marketing teams have more data than ever. Finance still discounts much of it, because few of those numbers connect spend to business outcomes. The pressure is structural. Gartner’s 2026 CMO Spend Survey shows marketing budgets flat at 7.8% of company revenue.

Until now, someone on your team had to start every root cause analysis in Rollbar. An alert fires, they open the item, read enough of the stack trace to decide it deserves an investigation, and start the analysis by hand, after dropping whatever they were doing. With Agent Automation, Resolve, Rollbar’s AI agent for root cause analysis and fixes, takes over that step. You write a rule once in Project Settings, and when an error matches it, Resolve starts the analysis on its own.

Coralogix APM has told you which service is behind the latency. From today, the new APM experience tells you what is behind the service: the release, the environment, or the query one layer down. It watches every service you run from the moment it appears, without anyone writing an alert. And everything you see on the screen, your AI agent can use too: in Olly, from the Coralogix CLI, or through MCP in your IDE. A latency chart shows that something got slow.

If you were anywhere near LinkedIn last week, you probably saw us launch AI Signals. We weren’t exactly quiet about it. (Press release, a couple of blog posts, and more social posts than we’d like to admit. Sorry about your feed.) We covered the why behind AI Signals already, but I wanted to actually walk you through what you’re seeing on the screen. Sooner or later someone asks what the company spent on AI last month.