All Articles

Debugging Azure Networking for Elastic Cloud Serverless
AzureKubernetes

Debugging Azure Networking for Elastic Cloud Serverless

Learn how Elastic SREs uncovered and resolved unexpected packet loss in Azure Kubernetes Service (AKS), impacting Elastic Cloud Serverless performance.

Brad Deam

Christos Argyropoulos

Pivoting Elastic's Data Ingestion to OpenTelemetry
OpenTelemetryElastic AgentAPM

Pivoting Elastic's Data Ingestion to OpenTelemetry

Elastic has fully embraced OpenTelemetry as the backbone of its data ingestion strategy, aligning with the open-source community and contributing to make it the best data collection platform for a broad user base. This move benefits users by providing enhanced flexibility, efficiency, and control over telemetry data.

Nima Rezainia

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

Optimizing Spend and Content Moderation on Azure OpenAI with Elastic
AzureGenAILLM ObservabilityAzure OpenAI

Optimizing Spend and Content Moderation on Azure OpenAI with Elastic

We have added further capabilities to the Azure OpenAI GA package, which now offer content filter monitoring and enhancements to the billing insights!

Muthukumar Paramasivam

Bahubali Shetti

Daniela Tzvetkova

Transforming Industries and the Critical Role of LLM Observability: How to use Elastic's LLM integrations in real-world scenarios
GenAILLM ObservabilityCloud Monitoring

Transforming Industries and the Critical Role of LLM Observability: How to use Elastic's LLM integrations in real-world scenarios

This blog explores four industry specific use cases that use Large Language Models (LLMs) and highlights how Elastic's LLM observability integrations provide insights into the cost, performance, reliability and the prompts and response exchange with the LLM.

Ishleen Kaur

Daniela Tzvetkova

Observability for Amazon MQ with Elastic: Demystifying Messaging Flows with Real-Time Insights
AWS

Observability for Amazon MQ with Elastic: Demystifying Messaging Flows with Real-Time Insights

RabbitMQ, managed by Amazon MQ, enables asynchronous communication in distributed architectures but introduces operational risks such as retries, processing delays, and queue backlogs. Elastic’s Amazon MQ integration for RabbitMQ delivers deep observability into broker health, queue performance, message flow, and resource usage through Amazon CloudWatch metrics and logs. This blog outlines key operational risks associated with RabbitMQ and explains how Elastic observability helps maintain system reliability and optimize message delivery at scale.

Agi K Thomas

Udayasimha Theepireddy (Uday)

LLM Observability for Google Cloud’s Vertex AI platform - understand performance, cost and reliability
GenAIGoogle CloudLLM Observability

LLM Observability for Google Cloud’s Vertex AI platform - understand performance, cost and reliability

Enhance LLM observability with Elastic's GCP Vertex AI Integration — gain actionable insights into model performance, resource efficiency, and operational reliability.

Ishleen Kaur

Muthukumar Paramasivam

Daniela Tzvetkova

Elastic Distributions of OpenTelemetry (EDOT) Now GA: Open-Source, Production-Ready OTel
OpenTelemetryAPMInstrumentation

Elastic Distributions of OpenTelemetry (EDOT) Now GA: Open-Source, Production-Ready OTel

Elastic is proud to introduce General Availability of 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.

Miguel Luna

Bahubali Shetti

End to end LLM observability with Elastic: seeing into the opaque world of generative AI applications
Azure OpenAIOpenAIOpenTelemetryGenAIAWS BedrockLLM Observability

End to end LLM observability with Elastic: seeing into the opaque world of generative AI applications

Elastic’s LLM Observability delivers end-to-end visibility into the performance, reliability, cost, and compliance of LLMs across Amazon Bedrock, Azure OpenAI, Google Vertex AI, and OpenAI, empowering SREs to optimize and troubleshoot AI-powered applications.

Daniela Tzvetkova

Bahubali Shetti

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

Process data from Elastic integrations with the integration filter plugin in Logstash

Process data from Elastic integrations with the integration filter plugin in Logstash

Offload data processing operations outside of your Elastic deployment and onto Logstash by using the integration filter plugin.

Rossall Sandford

Introducing the OTTL Playground for OpenTelemetry
OpenTelemetry

Introducing the OTTL Playground for OpenTelemetry

Elastic is proud to introduce the OTTL Playground (https://ottl.run), a powerful and user-friendly tool designed to allow users to experiment with OpenTelemetry Transformation Language (OTTL) effortlessly. The playground provides a rich interface for users to create, modify, and test statements in real-time, making it easier to understand how different configurations impact the OpenTelemetry data transformation.

Edmo Vamerlatti Costa