GenAI Articles
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.
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.
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.
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.
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.
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.
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!
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
NGNIX log analytics with GenAI in Elastic
Elastic has a set of embedded capabilities such as a GenAI RAG-based AI Assistant and a machine learning platform as part of the product baseline. These make analyzing the vast number of logs you get from NGINX easier.
LLM Observability: Azure OpenAI
We are excited to announce the general availability of the Azure OpenAI Integration that provides comprehensive Observability into the performance and usage of the Azure OpenAI Service!
AWS VPC Flow log analysis with GenAI in Elastic
Elastic has a set of embedded capabilities such as a GenAI RAG-based AI Assistant and a machine learning platform as part of the product baseline. These make analyzing the vast number of logs you get from AWS VPC Flows easier.