From d779a02380806672e00ca00726a60e31c9c4dd8d Mon Sep 17 00:00:00 2001 From: "mergify[bot]" <37929162+mergify[bot]@users.noreply.github.com> Date: Tue, 3 Dec 2024 15:59:03 +0000 Subject: [PATCH] [8.x](backport #4594) Use official serverless product names (#4612) * use shared attribute (#4594) (cherry picked from commit f549fed3d083226bfcfa3eab09fa7c67b626689f) # Conflicts: # docs/en/serverless/apm-agents/apm-agents-opentelemetry-limitations.asciidoc # docs/en/serverless/apm-agents/apm-agents-opentelemetry.asciidoc # docs/en/serverless/apm/apm-ui-trace-sample-timeline.asciidoc # docs/en/serverless/cases/cases.asciidoc # docs/en/serverless/cases/manage-cases-settings.asciidoc # docs/en/serverless/index.asciidoc # docs/en/serverless/logging/log-monitoring.asciidoc # docs/en/serverless/observability-get-started.asciidoc # docs/en/serverless/projects/billing.asciidoc # docs/en/serverless/reference/elastic-entity-model.asciidoc # docs/en/serverless/synthetics/synthetics-get-started-project.asciidoc # docs/en/serverless/synthetics/synthetics-settings.asciidoc # docs/en/serverless/transclusion/apm/guide/diagrams/apm-otel-architecture.asciidoc # docs/en/serverless/transclusion/synthetics/global-managed-paid-for.asciidoc # docs/en/serverless/what-is-observability-serverless.asciidoc * Delete docs/en/serverless directory --------- Co-authored-by: Colleen McGinnis Co-authored-by: github-actions[bot] --- docs/en/observability/landing-page/page.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/observability/landing-page/page.asciidoc b/docs/en/observability/landing-page/page.asciidoc index 6b92ef6b0d..65da406a01 100644 --- a/docs/en/observability/landing-page/page.asciidoc +++ b/docs/en/observability/landing-page/page.asciidoc @@ -2,7 +2,7 @@ include::temp/style.asciidoc[] [subs=attributes+] ++++ -

Rely on the most widely deployed observability solution, powered by machine learning and analytics, to converge metrics, logs, and traces that deliver unified visibility and actionable insights.

  • Eliminate tool silos and efficiently store data
  • Get visibility across hybrid and multi-cloud environments
  • Monitor your digital experience — 24/7

Using serverless? Go to the Elastic Observability serverless docs.

What do you want to observe?

Use cases

Cloud monitoring

Cross-platform and multi-cloud visibility and analytics.

DevOps

Observe your entire software lifecycle — from development to production.

  • CI/CD
    Get better visibility into your CI/CD pipelines.
  • ECS logging
    Leverage the Elastic Common Schema logging libraries to automatically link application traces to their corresponding logs.

AIOps

Automate anomaly detection and accelerate root cause analysis.

  • Root cause analysis with logs
    Learn about Elastic’s artificial intelligence for IT operations and machine learning capabilities for root cause analysis.
  • APM Correlations
    Automatically identify the probable causes of slow or failed transactions.

User experience

Measure, gauge, and improve your end users’ experience.

  • Scripting browser monitors
    Simulate critical user workflows on a regular interval to catch bugs before your users report them.
  • User experience
    Learn how to track Core Web Vitals and how to use them to quantify the real-world user experience.

Related documentation

+

Rely on the most widely deployed observability solution, powered by machine learning and analytics, to converge metrics, logs, and traces that deliver unified visibility and actionable insights.

  • Eliminate tool silos and efficiently store data
  • Get visibility across hybrid and multi-cloud environments
  • Monitor your digital experience — 24/7

Using serverless? Go to the {obs-serverless} docs.

What do you want to observe?

Use cases

Cloud monitoring

Cross-platform and multi-cloud visibility and analytics.

DevOps

Observe your entire software lifecycle — from development to production.

  • CI/CD
    Get better visibility into your CI/CD pipelines.
  • ECS logging
    Leverage the Elastic Common Schema logging libraries to automatically link application traces to their corresponding logs.

AIOps

Automate anomaly detection and accelerate root cause analysis.

  • Root cause analysis with logs
    Learn about Elastic’s artificial intelligence for IT operations and machine learning capabilities for root cause analysis.
  • APM Correlations
    Automatically identify the probable causes of slow or failed transactions.

User experience

Measure, gauge, and improve your end users’ experience.

  • Scripting browser monitors
    Simulate critical user workflows on a regular interval to catch bugs before your users report them.
  • User experience
    Learn how to track Core Web Vitals and how to use them to quantify the real-world user experience.

Related documentation

++++ ++++