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New Relic

Observability platform with AI features, including an SRE agent for automated remediation, session replay with AI, cloud cost visibility and monitoring of AI and agent behavior and token usage.

Observability & evals

What it does

New Relic presents itself as AI-powered observability that aims to resolve issues at scale before they affect a business. Its homepage groups the offering into an SRE agent, session replay with AI, cloud cost visibility, AI and agentic monitoring, OpenTelemetry support and an agentic platform. The SRE agent is positioned as a step beyond assistance toward automated remediation. Session replay with AI is meant to save you from searching through video by having AI identify friction points. For spend, the site mentions real-time visibility into multi-cloud and Kubernetes costs. For teams building with AI, the monitoring is said to control behavior and token usage across an AI stack. The site describes one correlated map of every agent, LLM and microservice, and tracing of agent reasoning through to code execution to find where logic drifts from intended behavior. The agentic platform delivers observability insights to AI agents where engineers work, and the site cites more than 800 pre-built integrations.

Capabilities

  • SRE agent aimed at automated remediation
  • Session replay with AI that identifies friction points
  • Real-time multi-cloud and Kubernetes cost visibility
  • Monitoring of AI agents, LLMs and token usage
  • OpenTelemetry support
  • 800+ pre-built integrations

When to use it

  • Watching the behavior and token usage of LLM-based agents alongside the services they call
  • Tracing where an agent's logic drifts from the behavior you intended
  • Keeping an eye on multi-cloud and Kubernetes spend
  • Giving AI agents access to observability insights