OpenTelemetry Articles
Common ES|QL queries for Kubernetes monitoring
Copy-paste ES|QL queries for Elasticsearch that turn memory pressure and error spikes into a five-minute diagnosis.
One OTLP endpoint, three teams, zero routing rules: Elasticsearch Streams AI Partitioning
Stop writing log routing rules upfront. See how Streams AI Partitioning reads your data, proposes child streams, and lets you set per-team retention in minutes.
Elasticsearch: best-in-class for logs, now best-in-class for metrics
Elasticsearch is now best-in-class for metrics: 30× faster than Prometheus, up to 2.5× more storage-efficient, 50% less than Datadog. Learn about all the capabilities we’ve added.
3 signals, 2 env vars, 0 collectors: OpenTelemetry with Python and Elastic's Managed OTLP Endpoint
Instrument a Flask API with OpenTelemetry and ship traces, metrics, and logs to Elastic Cloud using just 2 environment variables, no collector needed.
Self-Driving Observability: From Stacktraces to Profiling-Derived Metrics
Profiling-derived metrics turn raw stacktraces into time-series KPIs, unlock continuous profiling for every user and lay the foundation for an observability system that detects, investigates, and acts on its own.
Bringing Fire to Elasticsearch: Adding Native Prometheus API Support
Query Elasticsearch directly from Prometheus-compatible clients via native PromQL, discovery, and metadata endpoints. Send data to Elasticsearch with Prometheus Remote Write.
From averages to any percentile: Elasticsearch ships native exponential histogram support in ES|QL
Query any percentile at any time. Elasticsearch natively stores OTel exponential histograms and lets you analyze distributions in ES|QL without fixed buckets or lossy conversions.
ES|QL queries for debugging LLM latency, cost and GPU saturation
Learn how to investigate LLM latency, token cost and GPU saturation using ES|QL against OpenTelemetry traces and get a root cause, not just a symptom.
30x faster than Prometheus: how we rebuilt Elasticsearch as a leading columnar metrics datastore
Elasticsearch now stores OTel metrics at 3.75 bytes per data point and queries them up to 30x faster than Prometheus. Here's how we rebuilt TSDS and ES|QL.
How Elastic's ML and AI Assistant cut 802.1x triage from 20 minutes to seconds in the NOC
Find out how Network Operations Center (NOC) teams use Elasticsearch, ML, and the Elastic AI Assistant to cut MTTR, tame alert fatigue, and solve network issues fast.
How to trace MCP server tool calls with OpenTelemetry and Elastic APM
Add OpenTelemetry tracing to an MCP server, visualize tool call performance in Elastic APM, and query the trace data from Claude Desktop using the Agent Builder MCP.
Kubernetes observability: MCP specialist agents for safer EKS triage
Scope a specialist EKS MCP agent for cluster checks while the Elastic AI Agent triages; fix a service misconfiguration using the specialist agent in a few prompts.