Elastic Observability Labs
See how Elastic's Agentic powered Kubernetes observability uses MCP App, agent skills to let agents investigate clusters, detect anomalies, and automate root cause analysis.
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Your PromQL queries now run in Kibana!
With PromQL now natively supported in Kibana, write and execute PromQL for analyzing metrics in Discover, in Dashboards visualizations, in alerting rules and wherever else ES|QL is supported. PromQL is currently available in Tech Preview for common metrics analytics use cases.
Automated Reliability: The Architecture of Self-Healing Enterprises
Discover how to close the remediation gap using automation and artificial intelligence. Learn to build self-healing systems that detect, analyse, and fix infrastructure issues automatically. Improve system reliability and eliminate manual operations today.
How Prometheus Remote Write Ingestion Works in Elasticsearch
A look under the hood at Elasticsearch's Prometheus Remote Write implementation: protobuf parsing, metric type inference, TSDS mapping, and data stream routing.
Ship Prometheus Metrics to Elasticsearch with Remote Write
Elasticsearch natively supports Prometheus Remote Write. Add a single remote_write block to your Prometheus config and use Elasticsearch as Prometheus-compatible long-term storage.
Visualizing OpenTelemetry Data in Elastic with OpenTelemetry Content Packages
Learn and explore how OpenTelemetry Content Packages in Elastic provide instant dashboards, alerts, and SLOs for your telemetry data.
How to cut Elasticsearch log storage costs with LogsDB
Learn how to enable LogsDB index mode in Elasticsearch and measure real storage savings. We compare a standard index against a LogsDB index using Apache logs and show how much storage you can reclaim.
Elasticsearch over the years — how LogsDB cuts index size by up to 75% at no throughput cost
By default, Elasticsearch is optimized for retrieval, not storage. LogsDB changes that. Here's the layered architecture behind a 77% index size reduction.
Migrate Logstash Pipelines from Azure Event Hubs to Kafka Input Plugin
Step-by-step guide to migrating Logstash pipelines from the Azure Event Hubs plugin to the Kafka input plugin to eliminate offset storage costs and improve performance.
ML and AI Ops Observability with OpenTelemetry and Elastic
Learn how to instrument ML and AI pipelines with OpenTelemetry and Elastic to correlate traces, logs, and metrics from notebooks to production inference services.
Composing OpenTelemetry Reference Architectures
A conceptual framework for reasoning about OpenTelemetry Collection architectures — edge, processing, and resilience layers that compose into the right pipeline for your environment.
AI agent observability and monitoring with OTel, OpenLit & Elastic
Learn how to monitor AI web agents to identify performance bottlenecks, token waste, and hallucinations using OpenTelemetry, OpenLit, and Elastic
OpenTelemetry Profiles Signal Enters Alpha: Elastic’s Continuous Commitment to Profiling
OpenTelemetry Profiles has officially reached Alpha, entrenching profiling as the fourth observability signal. Elastic's core contribution of its eBPF profiling agent, continued OpenTelemetry Profiles signal work and commitment to a vendor-agnostic ecosystem are driving this industry-wide standard forward.