Elastic Observability Labs
Elastic's new Amazon Bedrock integration for Observability provides comprehensive insights into Amazon Bedrock LLM performance and usage. Learn about how LLM based metric and log collection in real-time with pre-built dashboards can effectively monitor and resolve LLM invocation errors and performance challenges.
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Auto-instrumentation of Go applications with OpenTelemetry
Instrumenting Go applications with OpenTelemetry provides insights into application performance, dependencies, and errors. We'll show you how to automatically instrument a Go application using Docker, with no changes to your application code.
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.
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
Future-proof your logs with ecs@mappings template
Explore how the ecs@mappings component template in Elasticsearch simplifies data management by providing a centralized, official definition of Elastic Common Schema (ECS) mappings. Learn about its benefits, including reduced configuration hassles, improved data integrity, and enhanced performance for both integration developers and community users. Discover how this feature streamlines ECS field support across Elastic Agent integrations and future-proofs your data streams.
Introducing Elastic's distribution of OpenTelemetry PHP
Announcing the first alpha release of the Elastic distribution of OpenTelemetry PHP. See how easy it is to instrument your PHP applications with OpenTelemetry in this blog post.
Announcing GA of Elastic distribution of the OpenTelemetry Java Agent
Elastic announces general availability of the Elastic distribution of the OpenTelemetry (OTel) Java Agent, a fully OTel-compatible agent with a rich set of useful additional features.
Best Practices for Log Management: Leveraging Logs for Faster Problem Resolution
Explore effective log management strategies to improve system reliability and performance. Learn about data collection, processing, analysis, and cost-effective management of logs in complex software environments.
Kibana: How to create impactful visualisations with magic formulas ? (part 1)
We will see how magic math formulas in the Kibana Lens editor can help to highlight high values.
Accelerate log analytics in Elastic Observability with Automatic Import powered by Search AI
Migrate your logs to AI-driven log analytics in record time by automating custom data integrations
Observing Langchain applications with Elastic, OpenTelemetry, and Langtrace
Langchain applications are growing in use. The ability to build out RAG-based applications, simple AI Assistants, and more is becoming the norm. Observing these applications is even harder. Given the various options that are out there, this blog shows how to use OpenTelemetry instrumentation with Langtrace and ingest it into Elastic Observability APM
LLM Observability with Elastic, OpenLIT and OpenTelemetry
Langchain applications are growing in use. The ability to build out RAG-based applications, simple AI Assistants, and more is becoming the norm. Observing these applications is even harder. Given the various options that are out there, this blog shows how to use OpenTelemetry instrumentation with the OpenLIT instrumentation library to ingest traces into Elastic Observability APM.
Tailoring span names and enriching spans without changing code with OpenTelemetry - Part 1
The OpenTelemetry Collector offers powerful capabilities to enrich and refine telemetry data before it reaches your observability tools. In this blog post, we'll explore how to leverage the Collector to create more meaningful transaction names in Elastic Observability, significantly enhancing the value of your monitoring data.