Operations | Monitoring | ITSM | DevOps | Cloud

Don't fly blind... monitor from your users' perspective.

Most monitoring strategies focus only on what happens inside their applications... but that’s not what your users experience. From your backend to the cloud, through third-party APIs, DNS, CDNs, ISPs, and finally to the user’s device, every link in the chain matters. Without that visibility, you're flying blind when something breaks in your Internet Stack. Catchpoint’s 3,000+ intelligent agents across 100+ countries deliver true end-to-end visibility, capturing every hop, every variable, and every moment of user impact.

The Tech Behind Europe's Space Missions | Canonical x ESA

‎‎Subscribe. Fuel your curiosity. “Open source software is… the glue for everything that everyone does, from sending an email through to managing critical operations, not just space operations.” The European Space Agency (ESA) runs missions ranging from investigating Earth’s forests, to exploring Jupiter’s moons, to deflecting incoming asteroids.

Evals are just tests, so why aren't engineers writing them?

You’ve shipped an AI feature. Prompts are tuned, models wired up, everything looks solid in local testing. But in production, things fall apart—responses are inconsistent, quality drops, weird edge cases appear out of nowhere. You set up evals to improve quality and consistency. You use Langfuse, Braintrust, Promptfoo—whatever fits. You start running your evals, tracking regressions, fixing issues, and confidence goes up as a result. Things improve.

Zero Ticket Video Series: How to Automate Password Resets with Resolve

Struggling with repetitive IT tickets like password resets and account unlocks? You're not alone — these make up nearly 30% of all service desk requests. In this demo, learn how RITA, the AI-powered IT Agent from Resolve, can eliminate these issues entirely — no ticket required.

How to Enable and Configure Front-end Observability in Blackfire

In this video, learn how to enable and configure Front-end Observability in Blackfire. The tutorial covers steps to enable features across multiple environments via the Organization settings / Front-end usage in the Blackfire dashboard. Control front-end observability by enabling or disabling Browser Monitoring and Analytics per environment, using a JavaScript probe and a unique browser key. The video emphasizes the importance of naming transactions and explains how to manually add tracking snippets to HTML for better control.

How to monitor and manage front-end observability in Blackfire

In this video, we'll guide you through the process of monitoring and managing your usage of front-end observability features in Blackfire. Learn how to access your Browser usage dashboard to view browser traces collected per environment, track your quota consumption, and understand the concept of spike protection. You'll discover how Blackfire's automatic detection of abnormal traffic spikes protects your monthly quota and ensures continuous data collection.

AI-Driven Efficiency with Zebra Mobile Computing AI Suite | Zebra

Enhance your Zebra mobile devices with the Zebra Mobile Computing AI Suite, a comprehensive set of advanced AI tools designed to empower frontline workers to perform tasks more efficiently and accurately. This suite includes the AI Data Capture SDK, which offers powerful AI models for a variety of applications. Additionally, solution accelerators with sample applications and APIs are included to expedite the development of AI-driven data capture solutions for enterprise needs like inventory management and price verification. These tools seamlessly integrate into business applications, improving workflow efficiency.

New in APM

Datadog’s Latency Investigator for APM—now in Preview—automatically investigates hypotheses in the background, comparing historical traces and correlating change tracking, DBM, and profiling signals. This helps teams quickly isolate root causes and understand impact without combing through raw telemetry data. You can go from detection to resolution in a single workflow, and generate a pull request to apply a recommended fix, all without leaving Datadog..