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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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.
LLM Observability with Elastic: Azure OpenAI Part 2
We have added further capabilities to the Azure OpenAI GA package, which now offer prompt and response monitoring, PTU deployment performance tracking, and billing insights!
Bringing Your Cloud-Managed Kubernetes Audit Logs into Elasticsearch
How to bring your Cloud-Managed Kubernetes Audit Logs into Elasticsearch
Introducing Elastic Distributions of OpenTelemetry
Elastic is proud to introduce Elastic Distributions of OpenTelemetry (EDOT), which contains Elastic’s versions of the OpenTelemetry Collector and several language SDKs like Python, Java, .NET, and NodeJS. These help provide enhanced features and enterprise-grade support for EDOT.
Introducing Elastic Distribution of OpenTelemetry Collector
We are thrilled to announce the technical preview of the Elastic Distribution of OpenTelemetry Collector. This new offering underscores Elastic dedication to this important framework and highlights our ongoing contributions to make OpenTelemetry the best vendor agnostic data collection framework.
Monitor your Python data pipelines with OTEL
Learn how to configure OTEL for your data pipelines, detect any anomalies, analyze performance, and set up corresponding alerts with Elastic.
Tracing Langchain apps with Elastic, OpenLLMetry, 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 OpenLLMetry and ingest it into Elastic Observability APM
Monitor dbt pipelines with Elastic Observability
Learn how to set up a dbt monitoring system with Elastic that proactively alerts on data processing cost spikes, anomalies in rows per table, and data quality test failures