Operations | Monitoring | ITSM | DevOps | Cloud

Taylor Mattison explains how SigNoz MCP helped surface wasted work inside MSI's sales-order workflow. Warning checks were firing on user actions that had nothing to do with any warning they could raise. By comparing telemetry across the workflow, Taylor could point to unnecessary operations that were wasting API calls, database time, and server capacity. This clip is part of our MSI customer story on using SigNoz MCP with Claude to debug slow sales orders across the stack.

In July’s This Month in Datadog, Jeremy is joined by Datadog product leaders for in-depth conversations about how Bits enables you to confidently evaluate and release features containing AI-generated code, and use natural language to ask, understand, and act across Datadog.

AssemblyAI is a leading Voice AI platform that provides speech-to-text models and AI infrastructure developers use to build real-time voice applications. AssemblyAI uses Datadog to unify observability across its AI inference pipelines and multi-cloud GPU infrastructure, enabling the team to optimize performance and costs, accelerate model releases, and confidently deliver fast, reliable AI experiences at scale.

Learn how to monitor and troubleshoot Business Transactions using Site24x7's APM Insight in this step-by-step walkthrough. In this video, you'll see how to: Set up Business Transaction grouping rules based on URL patterns Track key performance metrics — response time, throughput, Apdex score, and error rate Drill down into individual transaction traces to pinpoint slow requests Use trend graphs to spot performance regressions over time Identify the exact business-critical workflows impacting your application's user experience.