Operations | Monitoring | ITSM | DevOps | Cloud

Third party API Monitoring Powered by OpenTelemetry Semantics

Is it the third-party API or my code? Your service suddenly slows down, or errors spike, and you’re stuck guessing if it’s your own logic or an external API you don’t control. We’ve seen this pain across teams: dashboards don’t tell you which vendor or endpoint is the culprit, and debugging turns into a maze of guesswork. Rate limiting, vendor errors, or integration issues often slip through until users complain.

Real-time Linux with Ubuntu: low-latency performance for embedded systems

Need deterministic response times for latency-sensitive applications? In this session, Edoardo Barbieri (Product Manager at Canonical) breaks down the fundamentals of real-time Linux on Ubuntu, and how it meets the demands of telco, industrial automation, and robotics use cases. Learn how Ubuntu enables predictable, low-latency performance across embedded environments. Subscribe. Fuel your curiosity.

Reducing Database Complexity and Size using Subsetting | The Tony and Tonie Show

Getting realistic test data from large production databases can be a challenge, especially when you're trying to keep dev environments lightweight and secure. Tony and Tonie discuss how subsetting CLI in Redgate Test Data Manager will help you quickly generate smaller, fully representative subsets automatically.

This Month in Datadog: OpenTelemetry Collector distribution, GitHub Copilot integration, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on the Datadog Distribution of the OpenTelemetry Collector.

How to test Istio and other service meshes

Part of the Gremlin Office Hours series: A monthly deep dive with Gremlin experts. Service meshes bring applications together, but not always reliably. Even the most well-configured Istio deployment can have unexpected reliability risks that aren’t apparent until you’re already in production. Latency, single points of failure, poorly defined APIs—these problems can grow beyond a single service and impact the user experience for your entire application.

It's not just about fixing problems, it's about detecting them before they escalate.

IT teams can’t solve what they can’t see. Undetected issues impacting end users lead to lost revenue, brand reputation damage, and frustrated customers. That’s why proactive monitoring is critical. By simulating end-user experiences, you catch small issues before they snowball into major incidents—saving time, money, and operational headaches.