Build, test, and scale detections as code with Datadog Cloud SIEM
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Latest SRE & DevOps Articles
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The Mindset Shift: IT Operations to Security — SolarWinds TechPod 099
06/10/25 In this episode, hosts Sean Sebring and Chrystal Taylor engage with actual rock star Chris Greer, a Security Engineering Manager at SolarWinds, to explore the multifaceted…
Optimize and troubleshoot AI infrastructure with Datadog GPU Monitoring
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Ensure trust across the entire data life cycle with Datadog Data Observability
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Datadog MCP Server: Connect your AI agents to Datadog tools and context
The Datadog Monitoring Cloud Provider (MCP) Server allows engineering teams to connect Datadog metrics and data to AI agents, enabling proactive problem resolution and automation. …
Automate Cloud SIEM investigations with Bits AI Security Analyst
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Introducing Bits AI SRE, your AI on-call teammate
Here's a concise summary of the article "Automate Cloud SIEM investigations with Bits AI Security Analyst": Bits AI Security Analyst is an AI-powered tool that automates investiga…
Monitor, troubleshoot, and improve AI agents with Datadog
This Datadog article highlights the importance of trace annotation for improving the quality of Large Language Model (LLM) applications. By annotating traces with specific LLM-rela…
Automatically identify issues and generate fixes with the Bits AI Dev Agent
The new Bits AI SRE boasts significantly improved reasoning capabilities and is twice as fast as its predecessor, allowing it to tackle more complex incidents. This upgrade focuses…
Debug live production issues with the Datadog Cursor extension
The Datadog Monitoring Cloud Provider (MCP) Server allows engineering teams to connect Datadog metrics and logs directly to AI agents, enabling proactive incident management and au…
Unify remediation and communication with Datadog Incident Response
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Monitor your OpenAI agents with Datadog LLM Observability
This Datadog article explains how annotating LLM traces—adding metadata about inputs, outputs, and context—is crucial for understanding and improving LLM performance. By enriching …