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.
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.
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.
LLM observability: track usage and manage costs with Elastic's OpenAI integration
Elastic's new OpenAI integration for Observability provides comprehensive insights into OpenAI model usage. With our pre-built dashboards and metrics, you can effectively track and monitor OpenAI model usage including GPT-4o and DALL·E.
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.
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.
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.
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.
Native OTel-based K8s & App Observability in 3 Steps with Elastic
Elastic's Distributions of OpenTelemetry are now supported with the OTel Operator, providing auto instrumentation of applications with EDOT SDKs, and deployment and lifecycle management of the EDOT OTel Collector for Kubernetes Observability. Learn how to configure this in 3 easy steps