GenAI Articles

Elastic now alerts at 80% OpenAI rate limit usage, before your app gets throttled
GenAILLM ObservabilityOpenAIMetrics

Elastic now alerts at 80% OpenAI rate limit usage, before your app gets throttled

OpenAI rate limit monitoring in Elastic maps headroom across every project and model. Compare configured RPM, TPM and IPM limits against real usage and plan capacity before a throttling alert fires.

Daniela Tzvetkova

Stop finding out about your Claude bill on invoice day: Anthropic API monitoring is now in Elastic
GenAILLM ObservabilityMetrics

Stop finding out about your Claude bill on invoice day: Anthropic API monitoring is now in Elastic

Track Anthropic API spend and rate limit headroom across every workspace, model, and service tier, so cost surprises and throttling stop being production-time discoveries.

Ishleen Kaur

Daniela Tzvetkova

Contextual AI: Stop pinging the SRE: three MCP tools that turn Elastic Agent Builder into your team's runbook
APMGenAI

Contextual AI: Stop pinging the SRE: three MCP tools that turn Elastic Agent Builder into your team's runbook

Build three MCP tools in Elastic Agent Builder that read endpoint health, recent deploys and SLO burn rate directly in your editor. Encode your platform team's runbook once; every developer gets self-serve production context without pinging an SRE.

Jeffrey Rengifo

ES|QL queries for debugging LLM latency, cost and GPU saturation
OpenTelemetryLLM ObservabilityGenAIES|QL

ES|QL queries for debugging LLM latency, cost and GPU saturation

Learn how to investigate LLM latency, token cost and GPU saturation using ES|QL against OpenTelemetry traces and get a root cause, not just a symptom.

Jeffrey Rengifo

Elastic Ramen: A CLI harness for SRE investigation and remediation
AI AssistantGenAIObservability

Elastic Ramen: A CLI harness for SRE investigation and remediation

Exploring Elastic Ramen, a CLI harness that brings Agent Builder conversations, skills, and tools into the terminal so engineers can move from investigation to remediation in a single thread.

Joe Reuter

Vignesh Shanmugam

Using Azure SRE Agent and Elasticsearch to boost SRE productivity
GenAI

Using Azure SRE Agent and Elasticsearch to boost SRE productivity

Learn how to integrate the Azure SRE Agent with Elasticsearch to benefit from AI-driven autonomous operations, smarter detection, and proactive prevention.

Greg Crist

Network monitoring with Elastic: Unifying network observability
OpenTelemetryGenAIMetrics

Network monitoring with Elastic: Unifying network observability

Learn how to unify network monitoring using Elastic observability and AI. We'll showcase how to correlate network data, identify root causes and fix issues.

Patrick Boulanger

Automated log parsing in Streams with ML
Log AnalyticsGenAI

Automated log parsing in Streams with ML

Learn how a hybrid ML approach achieved 94% log parsing and 91% log partitioning accuracy through automation experiments with log format fingerprinting in Streams.

Nastia Havriushenko

Windows Event Log Monitoring with OpenTelemetry & Elastic Streams
OpenTelemetryloggingStreamsGenAI

Windows Event Log Monitoring with OpenTelemetry & Elastic Streams

Learn how to enhance Windows Event Log monitoring with OpenTelemetry for standardized ingestion and Elastic Streams for smart partitioning and analysis.

David Hope

Streams Processing: Stop Fighting with Grok. Parse Your Logs in Streams.
Log AnalyticsGenAI

Streams Processing: Stop Fighting with Grok. Parse Your Logs in Streams.

Learn how Streams Processing works under the hood and how to use it to build, test, and deploy parsing logic on live data quickly.

Luca Wintergerst

Troubleshooting your Agents and Amazon Bedrock AgentCore with Elastic Observability
AWSAWS BedrockGenAILLM Observability

Troubleshooting your Agents and Amazon Bedrock AgentCore with Elastic Observability

Discover how to achieve end-to-end observability for Amazon Bedrock AgentCore: from tracking service health and token costs to debugging complex reasoning loops with distributed tracing.

Daniela Tzvetkova

Agi K Thomas

Ishleen Kaur

Bahubali Shetti

Elastic Observability: Streams Data Quality and Failure Store Insights
Log AnalyticsGenAI

Elastic Observability: Streams Data Quality and Failure Store Insights

Discover how the Streams a new AI driven Elastic Observability feature help manage data quality with a failure store to help you monitor, troubleshoot, and retain high-quality data.

Elena Stoeva

Yngrid Coello