Operations | Monitoring | ITSM | DevOps | Cloud

LLM-powered agents are reshaping software, but when they fail, troubleshooting is guesswork. Lumigo’s new AI Agent Observability, now in beta, gives you visibility into the entire lifecycle of your agents, from prompt to response to internal decision logic. Built for modern AI workloads, this feature is designed to help engineers monitor, debug, and optimize agents running on platforms like OpenAI, Anthropic, and open-source models.

As organizations begin to scale their observability strategy, point and click methods of management become increasingly unworkable. This is why Coralogix has now fully released the Coralogix Operator for Kubernetes. Kubernetes operators are control loops that allow users to declare their desired state in their Kubernetes clusters, and the operator is responsible for resolving this state.

We’re going beyond notifications — and building the most powerful, flexible, and team-first on-call experience on the market. When we launched Signals, it was because alerting and on-call desperately needed a reset. Legacy tools hadn’t evolved with the way modern teams work — they were individual-centric, inflexible, and wildly overpriced. Signals changed that.

For MSPs, the daily juggling act of managing multiple tools can be a drain on resources, efficiency, and, ultimately, your bottom line. You need comprehensive visibility, streamlined workflows, and the ability to proactively address client needs—all without the headache of disparate systems. That's why we're excited to announce the launch of MSP Central, your comprehensive, unified platform for streamlined MSP business management.

Today, we’re excited to announce support for AWS PrivateLink, allowing Logz.io customers to securely send logs and metrics through private VPC connectivity, without any data ever hitting the public internet. If you’re running workloads inside a VPC on AWS, this upgrade drastically improves your security posture, simplifies your networking architecture, and – most notably – reduces your data transfer costs (a lot).

AI is changing how we build software — but debugging code still comes down to having context. One minute the model’s performance is cruising. The next, you’re hit with a KeyError from a tool you forgot existed, triggered by a model that silently timed out, and a retrieval call that returns... nothing, or 11 “Let me try this a different way" messages before failure. You’re stitching together LLM calls, agents, vector stores, and custom logic. Then hoping it holds up in prod.

Introducing Cause Analysis from Kentik, designed to simplify network traffic analysis and rapidly identify the root cause of issues. Learn how this exciting new feature streamlines troubleshooting, makes complex insights accessible, and boosts team efficiency for all users.

Every day, enterprise companies generate terabytes of observability data while engineering teams are under pressure to cut costs. One of the easiest ways to reduce observability bills is through sampling: intentionally sending only a representative portion of telemetry data, rather than the full volume, to your observability tool. But turning down the dial is risky.

GitLens 17.2 is here with a comprehensive set of improvements designed to enhance how you work with Git. This release introduces Commit Composer – AI-powered commit organization, refines the Home View experience based on your feedback, expands AI model support, and delivers enterprise-grade security controls for teams using AI features. Let’s explore what’s new and how these features can improve your development workflow.