Log Analytics Articles
Fixing Elastic Streams processing failures without dropping data
When your Streams ingest pipeline breaks, failed documents land in the failure store, not the floor. Here's how to use those exact failures to fix your pipeline without re-ingesting from the source.
Connecting Cursor to Production Logs via the Elastic MCP Server
Learn how to connect Cursor to your Elastic APM data using the Elastic Agent Builder MCP server, so you can debug production errors and make UI decisions backed by real usage data without leaving your editor.
How Streams Generates a Log Pipeline in Seconds
Streams generates a complete, tested log processing pipeline from a single click. Here's the two-stage mechanism behind it: deterministic fingerprinting, a reasoning agent that iterates against real data, and hard validation thresholds that enforce quality before you see the result.
How to cut Elasticsearch log storage costs with LogsDB
Learn how to enable LogsDB index mode in Elasticsearch and measure real storage savings. We compare a standard index against a LogsDB index using Apache logs and show how much storage you can reclaim.
Elasticsearch over the years — how LogsDB cuts index size by up to 75% at no throughput cost
By default, Elasticsearch is optimized for retrieval, not storage. LogsDB changes that. Here's the layered architecture behind a 77% index size reduction.
Automated Error Triage: From Reactive to Autonomous
Learn how to automate error triage by using Elasticsearch log clustering and AI agents, turning production logs into actionable root cause reports.
Agent Skills for Elastic Observability
Learn how Agent Skills for Elastic Observability help SREs and developers run observability workflows through natural language to instrument apps with OpenTelemetry, search logs, manage SLOs, understand service health, and help with LLM observability.
Process Kubernetes logs with ease using Elastic Streams
Learn how to process Kubernetes logs with Elastic Streams using conditional blocks, AI-generated Grok patterns, and selective drops to reduce noise and storage cost.
Troubleshooting Kafka-Logstash-Elasticsearch Performance Issues in delay-sensitive platforms
Learn how to troubleshoot ingestion bottlenecks in data pipelines built with Kafka, Logstash and Elasticsearch.
Log Processing UX Design in Elastic Streams
Explore log processing in Elastic Streams and the design decisions behind the Processing UX that make log data more accessible, consistent, and actionable.
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.
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.