Operations | Monitoring | ITSM | DevOps | Cloud

In our everyday lives, people monitor various aspects like heart rate, step count, and stock performance to detect any unusual changes. The same concept applies to API monitoring. By continuously tracking and collecting measurements, teams can establish benchmarks and quickly identify deviations from the norm. This proactive approach helps detect and resolve issues, ensuring services perform at their expected level.

Please join us as Bashyam and Naveen review Sumo's AI Assistant, Mo Copilot.

Join us for a deep dive into how incident.io is leveraging AI to build an intelligent incident investigator. Our guests, Ed and Lawrence, share insights on building AI-powered investigations that help teams to leverage huge amounts of data and signals to respond faster and more effectively.

Speedscale's proxymock is a free VS Code plugin that passively listens to transactions, so developers can replay past responses or inbound transactions like a time machine. Past transactions can serve as non-rate-limited service mocks, editable databases, or even regression/load/chaos tests. Building service mocks to serve as service virtualization/mocks can be time consuming and manual. Maintaining complex, shared environments for engineering incurs expensive cloud costs and aren't often accurate.

MDM policies are essential for maintaining security and control over mobile devices within an organization. In this video, we'll gain a deep understanding of MDM policies and learn how to enforce them effectively.

Building a Bluetooth-enabled IoT device? Here’s a pro tip: monitor what you can’t see. Blecon’s Simon Ford explains how hidden issues—like high retry rates in Bluetooth communication—may not trigger alerts but can reveal critical insights about your device’s true performance.