Blogs

Hands-on, insight-driven content about observing your production and development environments using Elastic Observability.

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Three clicks from alert to error log: breaking down RED metrics by any span attribute in Elastic Observability

See which pod, deployment or version is driving a RED metrics change by breaking down span attributes in Discover, then trace a failing span to the error log behind it.

Roshan Gonsalkorale

From alert to failing dependency in four clicks: Elastic APM's embedded service map

The APM service map is now embedded on alert pages with filters, connection metrics and a service fly-out so you can analyse dependencies and find the root cause without leaving the alert.

Roshan Gonsalkorale

Migrate Datadog Kubernetes dashboards to Elastic Observability in under an hour

See how the migration CLI translates a real Datadog Kubernetes dashboard into validated Kibana panels and uploads it to your cluster in under an hour, no manual widget rebuilds required.

Peter Simkins

Migrate your Grafana Kubernetes dashboard to Elastic Observability: same PromQL, 30x faster queries

Take a real Grafana Kubernetes dashboard covering pod CPU, memory, node pressure, and restart counts, then migrate it into Elastic Observability with native PromQL in under an hour.

Peter Simkins

How Elastic cut OpenTelemetry tail sampling memory by 65% with disk-backed trace storage

Elastic contributed two features upstream to the OTel Collector's tail sampling processor. The span-ingest strategy lets sampling decisions happen earlier, and Pebble tail storage moves trace buffering to disk. It costs more CPU, but operators can raise decision_wait and num_traces without OOM kills.

Carson Ip

Prometheus metrics in Elastic Observability: your PromQL runs unchanged

Point Prometheus from your Kubernetes cluster at Elastic Observability with one config block. PromQL runs unchanged, keep your PromQL no cardinality billing.

Bahubali Shetti

Elastic z/OS ingest: five architectures for mainframe data

This field guide walks through the ingest architectures I've seen work in production, the data quality checks that decide whether your dashboards actually work, and the ECS mapping that makes mainframe data usable to the platform.

Anna Maria Modée

From five dashboards to one prompt: how we built an APM health monitor with Elastic Agent Builder

Five ES|QL tools score latency, errors, throughput and dependencies to find the root cause, so you don't dashboard-hop during an APM incident.

Naga Putta

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.

Jeffrey Rengifo

Elastic now alerts at 80% OpenAI rate limit usage, before your app gets throttled

OpenAI rate limit monitoring in Elastic maps headroom across every project and model. Compare configured RPM, TPM and IPM limits against real usage and plan capacity before a throttling alert fires.

Daniela Tzvetkova

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.

Aleksandar Panov

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.

Bahubali Shetti