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Elastic Observability Labs

Log Analytics Articles

Getting more from your logs with OpenTelemetry
OpenTelemetryLog Analytics

Getting more from your logs with OpenTelemetry

Learn how to evolve beyond basic log ingest by leveraging OpenTelemetry for ingestion, structured logging, geographic enrichment, and ES|QL analytics. Transform raw log data into actionable intelligence with practical examples and proactive observability strategies.

David Hope

Smarter Alerting Arrives with Faster Triage, Clearer Groupings, and Actionable Guidance
Log Analytics

Smarter Alerting Arrives with Faster Triage, Clearer Groupings, and Actionable Guidance

Exploring the latest enhancements in Elastic Stack alerting, including improved related alert grouping, linking dashboards to alert rules, and embedding investigation guides into alerts.

Drew Post

The observability gap: Why your monitoring strategy isn't ready for what's coming next
Log Analytics

The observability gap: Why your monitoring strategy isn't ready for what's coming next

The increasing complexity of distributed applications and the observability data they generate creates challenges for SREs and IT Operations teams. Take a look at how you can close this observability gap with OpenTelemetry and the right strategy.

David Hope

Serverless log analytics powered by Elasticsearch, in a new low priced tier
Log Analytics

Serverless log analytics powered by Elasticsearch, in a new low priced tier

Elastic Observability Logs Essentials delivers cost-effective, hassle-free log analytics on Elastic Cloud Serverless. SREs can ingest, search, enrich, analyze, store, and act on logs without the operational overhead of managing the deployment.

Chris DiStasio

Bahubali Shetti

Connecting the Dots: ES|QL Joins for Richer Observability Insights
Log Analytics

Connecting the Dots: ES|QL Joins for Richer Observability Insights

Now in tech preview, ES|QL LOOKUP JOIN lets you enrich logs, metrics, and traces at query time no need to denormalize at ingest. Add deployment, infra, or business context dynamically, reduce storage, and accelerate root cause analysis in Elastic Obervability.

Luca Wintergerst

Dynamic workload discovery on Kubernetes now supported with EDOT Collector
OpenTelemetryLog AnalyticsKubernetesMetrics

Dynamic workload discovery on Kubernetes now supported with EDOT Collector

Discover how Elastic's OpenTelemetry Collector leverages Kubernetes pod annotations providing dynamic workload discovery and improves automated metric and log collection for Kubernetes clusters.

Christos Markou

Alexander Wert

Monitor your C++ Applications with Elastic APM
OpenTelemetryAPMInstrumentationLog Analytics

Monitor your C++ Applications with Elastic APM

In this article we will be using the Opentelemetry CPP client to monitor C++ application within Elastic APM

Haidar Braimaanie

Deploying Elastic Agent with Confluent Cloud's Elasticsearch Connector
Log Analytics

Deploying Elastic Agent with Confluent Cloud's Elasticsearch Connector

Confluent Cloud users can now use the updated Elasticsearch Sink Connector with Elastic Agent and Elastic Integrations for a fully-managed and highly scalable data ingest architecture.

Nima Rezainia

Convert Logstash pipelines to OpenTelemetry Collector Pipelines
OpenTelemetryLog Analytics

Convert Logstash pipelines to OpenTelemetry Collector Pipelines

This guide helps Logstash users transition to OpenTelemetry by demonstrating how to convert common Logstash pipelines into equivalent OpenTelemetry Collector configurations. We will focus on the log signal.

Mirko Bez

Taha Derouiche

Using NLP and Pattern Matching to Detect, Assess, and Redact PII in Logs - Part 2
Log Analytics

Using NLP and Pattern Matching to Detect, Assess, and Redact PII in Logs - Part 2

How to detect, assess, and redact PII in your logs using Elasticsearch, NLP and Pattern Matching

Stephen Brown

The DNA of DATA Increasing Efficiency with the Elastic Common Schema
Log Analytics

The DNA of DATA Increasing Efficiency with the Elastic Common Schema

Elastic ECS helps improve semantic conversion of log fields. Learn how quantifying the benefits of normalized data, not just for infrastructure efficiency, but also data fidelity.

Peter Titov

Using NLP and Pattern Matching to Detect, Assess, and Redact PII in Logs - Part 1
Log Analytics

Using NLP and Pattern Matching to Detect, Assess, and Redact PII in Logs - Part 1

How to detect and assess PII in your logs using Elasticsearch and NLP

Stephen Brown