Operations | Monitoring | ITSM | DevOps | Cloud

GitKraken Desktop 12.0 Release: Agent Sessions, Terminal Performance Boosts, and More!

Apr 15, 2026 By GitKraken In GitKraken
If you're running Claude Code, Codex, or Gemini, managing multiple sessions means one terminal per agent, status checks by window-switching, and worktree setup from scratch every time. GitKraken Desktop 12.0 adds structure to that workflow. What's new: Works with Claude Code, Codex CLI, Copilot CLI, Gemini CLI, and OpenCode.
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appsignal

AppSignal MCP Now Supports OAuth - and GitHub Copilot

Apr 15, 2026 By Serena Chou In AppSignal
When we launched AppSignal MCP in beta, OAuth was on the roadmap but not yet shipped. We were issuing static bearer tokens — enough to connect Claude Desktop, Cursor, and Windsurf, but not the one-click install path in the MCP Registry, and not GitHub Copilot's recommended setup. That's fixed.
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cloudzero

Introducing the CloudZero AI Prompt Catalog: 46 Ready-to-Use Prompts for Cost Intelligence

Apr 15, 2026 By Ben Austin In CloudZero
In early March, we launched the CloudZero AI Hub and the CloudZero Claude Code plugin, giving customers a direct line to their cloud and AI cost data through natural language. Early adopters and power users have already jumped in, using the plugin to investigate cost spikes, close commitment gaps, and get to cost-per unit metrics that used to take days to pull together. What we’ve noticed over the past few weeks is pretty consistent (and predictable).
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cloudzero

Webinar recap: Cost Intelligence for the AI Era

Apr 15, 2026 By Keith MacKenzie In CloudZero
CloudZero’s Umesh Rao and Larry Advey showed what it actually looks like to connect AI to real cloud cost data, and the results are hard to unsee. On April 9, 2026, CloudZero hosted a live webinar, Cost Intelligence for the AI Era, featuring Umesh Rao, Director of Enablement, and Larry “Fred FinOps” Advey, Director of Cloud Platform & FinOps.
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How AI-Powered Phishing Is Changing What 'Suspicious Email' Looks Like

How AI-Powered Phishing Is Changing What 'Suspicious Email' Looks Like

Apr 15, 2026 By OpsMatters In OpsMatters
For years, spotting a phishing email was almost a checklist exercise. Look for typos, watch for broken grammar, be suspicious of generic greetings like "Dear user," and check if the sender's address looks strange. That mental model worked because phishing emails actually looked bad. Which is no longer true. With the rise of AI, attackers can generate emails that are grammatically perfect, context-aware, and indistinguishable from legitimate business communication. The obvious red flags are gone. What used to look suspicious now looks completely normal.
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ScienceLogic

The Trust Layer: Why Enterprise AI Needs a Gateway Before It Needs More Models

Apr 14, 2026 By ScienceLogic In ScienceLogic
Enterprise AI does not have a model problem. It has a trust problem. Before organizations invest in larger models or additional agents, they need a control layer that governs how those agents operate inside production systems. Without that layer, autonomy does not scale. If you talk to any enterprise leader right now, you’ll hear the same question.
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virtualmetric

The AI Zero-Day Wave Is Here. Is Your Logging Infrastructure Ready?

Apr 14, 2026 By VirtualMetric In VirtualMetric
Last week, the cybersecurity industry received a signal it cannot afford to ignore. Anthropic announced Claude Mythos Preview: a general-purpose frontier AI model that, without any explicit training for the task, autonomously discovered and fully exploited zero-day vulnerabilities across every major operating system and web browser. Not theoretical capabilities.
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User Feedback to Pull Request in Minutes with Cursor + Sentry

Apr 14, 2026 By Sentry In Sentry
Cursor Automations + Sentry Triggers: go from user feedback to a pull request automatically. See how to set up an end-to-end workflow that turns feedback into code changes, posts the PR to Slack, and keeps your team in the loop. In this video, we walk through a real-world example using Sentry Docs. A user submits feedback through a widget on the docs site, it lands in Sentry as an issue, and when assigned, a Cursor Automation kicks off. The automation reads the feedback, validates it, generates a PR against the repo, and posts the link in the relevant Slack thread. No manual work required.
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datadog

Offline evaluation for AI agents: Best practices

Apr 14, 2026 By Tom Sobolik In Datadog
If you’re building LLM-powered applications and agents, you’ve probably asked yourself: “How do I know if my changes actually made things better?” You can tweak prompts, adjust temperature settings, or try different models, but it’s not always easy to validate whether version B’s response is better than version A’s. Most teams fly blind in preproduction and rely on user feedback to see how well their application works in the real world.
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qovery

Stopping Kubernetes cloud waste: agentic automation for enterprise fleets

Apr 14, 2026 By Mélanie Dallé In Qovery
Agentic Kubernetes resource reclamation is the practice of using an autonomous control plane to continuously identify, suspend, and delete idle infrastructure across a multi-cloud Kubernetes fleet. It replaces manual cleanup and reactive autoscaling with intent-based policies that act on business state, eliminating the configuration drift and cloud waste typical of unmanaged fleets.
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