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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

How we investigated prompt cache misses with Datadog

Our internal AI applications repeatedly send the same system instructions, tool definitions, and conversation history to large language models (LLMs). Prompt caching lets models reuse this data from previously processed input, reducing the cost of handling repeated content. But while investigating our LLM costs, we found applications that weren’t benefiting from caching, even when it appeared to be enabled.

Any agent anywhere: How to use Grafana Cloud with Claude, Cursor, and any other AI agent

AI agents are becoming part of everyday engineering workflows, helping teams write code, troubleshoot issues, and automate tasks. But to be truly useful in production, these agents need access to more than code. They also need observability data and context to understand what's happening across your systems, investigate problems, and help you take action.

WhatsUp Gold NPM 13.1 and WhatsUp Gold NDR 13.1 Release Update

Most IT teams do not have the luxury of separating network operations and security professionals into different groups. The same teams need to investigate a slow application and examine unusual traffic patterns or security issues. The latest Progress WhatsUp Gold NPM and Progress WhatsUp Gold NDR releases include new functionality that directly addresses this reality. Both WhatsUp Gold NPM and WhatsUp Gold NDR have been updated to shorten the time between discovering an issue and understanding it.

How to Monitor Your ISP's Performance: A Step-by-Step Guide for IT Teams

Most ISP problems don't show up as low speed. They show up as calls that break up every afternoon, a cloud app that times out at one branch, or a connection that drops for 30 seconds and recovers before anyone can test it. By the time someone runs a speed test, the results look fine, and ISP support asks for evidence you don't have. Continuous monitoring solves this by measuring all the time, so the data is already there when something goes wrong.