Integrations

Search UI

Serverless

Elasticsearch and Kibana expose REST APIs that can be called directly to configure and access Elastic Stack features.

REST APIs

Welcome to Elastic serverless

Configure connections to third party systems for use in cases and rules.

Connectors

API keys allow access to the Elastic Stack on behalf of a user.

API keys

Create and manage roles that grant privileges within your project.

Custom roles

Elastic requires a data view to access the Elasticsearch data that you want to explore.

Data views

Build and debug grok patterns before you use them in your data processing pipelines.

Grok Debugger

Use our interactive code editor to test and debug Painless scripts in real-time.

Painless Lab

Troubleshooting

Use our developer tools to interact with your data.

Developer tools

Diagnose and debug poorly performing search queries.

Search Profiler

Use the Console to interact with Elastic REST APIs.

Console

The Elasticsearch REST APIs have conventions for headers and request bodies.

Elasticsearch API conventions

Index, search, and manage Elasticsearch data in your preferred language.

Client libraries

Understand how serverless Elasticsearch differs from Elastic Cloud Hosted and self-managed offerings.

Differences from other Elasticsearch offerings

Set up and use the .NET client for serverless Elasticsearch.

Get started with the serverless .NET client

Learn about how Elasticsearch usage affects pricing.

Elasticsearch billing dimensions

Use synonyms to search for words or phrases that have the same or similar meaning.

Full-text search with synonyms

Find data based on the intent and contextual meaning of a search query with semantic search

Semantic search

Perform semantic search using ELSER, an NLP model trained by Elastic.

Tutorial: Semantic search with ELSER

Turn Elasticsearch data into actionable insights with aggregations, visualizations, and alerts

Explore your data

Aggregate and summarize your Elasticsearch data.

Aggregations

Define when to generate alerts and notifications with alerting rules.

Manage alerting rules

Create dashboards to visualize and monitor your Elasticsearch data.

Create dashboards

Learn how to use Discover to gain insights into your data.

Discover your data

Build dynamic dashboards and visualizations for your Elasticsearch data.

Visualize your data

Get started with serverless Elasticsearch in a few steps

Get started

Set up and use the Go client for serverless Elasticsearch.

Get started with the serverless Go Client

Add data to Elasticsearch using the File Uploader.

Upload a file

Add data to Elasticsearch using HTTP APIs or a language client.

Ingest data through API

Use Beats to ship operational data to Elasticsearch.

Beats

Set up and deploy self-managed connectors that run on your own infrastructure.

Connector clients

Use Logstash to ship data to Elasticsearch.

Logstash

Ingest your data

Set up and use the Java client for serverless Elasticsearch.

Get started with the serverless Java client

The Management APIs for serverless have request header conventions.

Management API conventions

Vector search with k-nearest neighbor (kNN).

k-nearest neighbor (kNN) search

Configure project-wide features and usage.

Manage your projects

Set up and use the Node.js client for serverless Elasticsearch.

Get started with the serverless Node.js client

Set up and use the PHP client for serverless Elasticsearch.

Get started with the serverless PHP client

Test and edit Elasticsearch queries and chat with your data using LLMs.

Playground

Set up and use the Python client for serverless Elasticsearch.

Get started with the serverless Python client

Set up and use the Ruby client for serverless Elasticsearch.

Get started with the serverless Ruby client

Use the search API to run queries on your data.

Search your data

Run queries and aggregations with the search API.

The search API

Review the limitations that apply to Elasticsearch projects.

Technical preview limitations

Build search solutions and applications with Elasticsearch.

What is Elasticsearch on serverless?

Files

Centrally manage your Elastic Agents in Fleet

Fleet and Elastic Agent

Manage the predefined set of roles and privileges for all your projects.

Assign user roles and privileges

Check your billing history

Stop charges for a project

Manage your account details and subscription level.

Check your subscription

Join a new organization and bring over your projects.

Join an organization from an existing Elastic Cloud account

Add members to your organization and projects.

Invite your team

Configure the billing details of your organization.

Manage billing of your organization

Manage your instances, users, and settings.

Manage your organization

Manage your organization's serverless projects using the REST API.

Using the Project Management REST API

Check the usage breakdown of your account.

Monitor your account usage

Understand how usage affects serverless pricing.

Serverless billing dimensions

Monitor serverless status

Information about signing up for a serverless Elastic Cloud trial

Get started with serverless

Update your user profile

What is serverless Elastic?

Perform CRUD operations on indices and data streams. View index settings, mappings, and statistics.

Index management

Create and manage ingest pipelines to perform common transformations and enrichments on your data.

Ingest pipelines

Use our pre-built integrations to connect your data to Elastic.

Create, edit, and delete your Logstash pipeline configurations.

Logstash pipelines

View, export, and import machine learning jobs and models.

Machine learning

Suppress rule notifications for scheduled periods of time.

Maintenance windows

Maps

Learn how to add a service name field to your logs.

Add a service name to logs

Learn about aggregations available in alerting rules.

Aggregation options

AI Assistant

Automate anomaly detection and accelerate root cause analysis with AIOps.

AIOps

Find and investigate the causes of unusual spikes or drops in log rates.

Analyze log spikes and drops

Detect anomalies by comparing real-time and historical data from different sources to look for unusual, problematic patterns.

Detect anomalies

Detect distribution changes, trend changes, and other statistically significant change points in a metric of your time series data.

Detect change points

Predict future behavior of your data by creating a forecast for an anomaly detection job.

Forecast future behavior

Get alerts when anomalies match specific conditions.

Create an anomaly detection rule

Tune your job by creating calendars, adding job rules, and defining custom URLs.

Tune your anomaly detection job

Get alerts based on rules you define for detecting complex conditions in your applications and services.

Alerting

Get a metrics-driven view of your hosts backed by an easy-to-use interface called Lens.

Analyze and compare hosts

Application performance monitoring (APM)

Use Elastic APM to monitor your AWS Lambda functions.

AWS Lambda functions

Elastic APM agents

OpenTelemetry

Collect metrics

Limitations

OpenTelemetry API/SDK with Elastic APM agents

OpenTelemetry native support

Resource attributes

Compress similar or identical spans to reduce storage overhead, processing power needed, and clutter in the Applications UI.

Compress spans

Create custom links

APM data types

Dependencies

Understand how a single request that travels through multiple services impacts your application.

Distributed tracing

Errors

Filter your data

Learn how to collect Application Performance Monitoring (APM) data and visualize it in real time.

Get started with traces and APM

Infrastructure

Integrate with machine learning

Make sure APM data is sent to Elastic securely and sensitive data is protected.

Keep APM data secure

Settings

Logs

Metrics

Observe Lambda functions

Query your data

Implement strategies for reducing your data usage without compromising the ability to analyze APM data.

Reduce your data usage

Reference

Send APM data to Elastic

Managed intake service event API

Service map

Service Overview

Services

Reduce data storage and costs by reducing stacktrace collection

Stacktrace collection

Trace sample timeline

Traces

Track deployments with annotations

Reduce data storage, costs, and noise by ingesting only a percentage of all traces that you can extrapolate from in your analysis.

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