Category: Logs Analytics

Articles tagged Logs Analytics

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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.

Luca Wintergerst

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.

Jeffrey Rengifo

Migrate Logstash Pipelines from Azure Event Hubs to Kafka Input Plugin

Step-by-step guide to migrating Logstash pipelines from the Azure Event Hubs plugin to the Kafka input plugin to eliminate offset storage costs and improve performance.

Álex Cámara

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.

Joe Reuter

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.

Bahubali Shetti

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.

Luca Wintergerst

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.

Abdelwahhab Satta

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.

Boris Kirov

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

Logstash Pipeline Management & Configuration with GitOps

Stop treating Logstash like a black box. This guide shows you how to use GitOps to create auditable, automated, and resilient data pipelines. Eliminate config drift and boost security with this GitHub and Jenkins blueprint.

Adrian Chen

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.

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