Blogs
Explore Elastic Observability Labs for expert-led resources and hands-on learning. Enhance your skills and optimize your observability strategy with Elastic.
LLM observability with Elastic: Taming the LLM with Guardrails for Amazon Bedrock
Elastic’s enhanced Amazon Bedrock integration for Observability now includes Guardrails monitoring, offering real-time visibility into AI safety mechanisms. Track guardrail performance, usage, and policy interventions with pre-built dashboards. Learn how to set up observability for Guardrails and monitor key signals to strengthen safeguards against hallucinations, harmful content, and policy violations.
2025 observability trends: Maturing beyond the hype
Discover what 500+ decision-makers revealed about OpenTelemetry adoption, GenAI integration, and LLM monitoring—insights that separate innovators from followers in Elastic's 2025 observability survey.
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
Tracing a RAG based Chatbot with Elastic Distributions of OpenTelemetry and Langtrace
How to observe a OpenAI RAG based application using Elastic. Instrument the app, collect logs, traces, metrics, and understand how well the LLM is performing with Elastic Distributions of OpenTelemetry on Kubernetes with Langtrace.
Using Anomaly Detection in Elastic Cloud to Identify Fraud
Follow the step-by-step process of using Elastic Cloud’s anomaly detection to analyze example credit card transactions to detect potential fraud.
Tracing, logs, and metrics for a RAG based Chatbot with Elastic Distributions of OpenTelemetry
How to observe a OpenAI RAG based application using Elastic. Instrument the app, collect logs, traces, metrics, and understand how well the LLM is performing with Elastic Distributions of OpenTelemetry on Kubernetes and Docker.
Instrumenting your OpenAI-powered Python, Node.js, and Java Applications with EDOT
Elastic is proud to introduce OpenAI support in our Python, Node.js and Java EDOT SDKs. These add logs, metrics and tracing to applications that use OpenAI compatible services without any code change.
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.
Assembling an OpenTelemetry NGINX Ingress Controller Integration
This blog post explores how to set up an OpenTelemetry integration for the NGINX Ingress Controller, detailing the configuration process, key transformations, and upcoming enhancements for modular configuration support.
Supercharge Your vSphere Monitoring with Enhanced vSphere Integration
Supercharge Your vSphere Monitoring with Enhanced vSphere Integration
One-Step Ingest for CloudWatch Logs and Metrics into Elastic Observability with Amazon Data Firehose
AWS users can now leverage the new guided onboarding workflow to ingest CloudWatch logs and metrics in Elastic Cloud and explore the usage and performance of over twenty AWS services within minutes, using the provided CloudFormation template.
LLM Observability with the new Amazon Bedrock Integration in Elastic Observability
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.