- Elastic Cloud Serverless
- Elasticsearch
- Elastic Observability
- Get started
- Observability overview
- Elastic Observability Serverless billing dimensions
- Create an Observability project
- Quickstart: Monitor hosts with Elastic Agent
- Quickstart: Monitor your Kubernetes cluster with Elastic Agent
- Quickstart: Monitor hosts with OpenTelemetry
- Quickstart: Unified Kubernetes Observability with Elastic Distributions of OpenTelemetry (EDOT)
- Quickstart: Collect data with AWS Firehose
- Get started with dashboards
- Applications and services
- Application performance monitoring (APM)
- Get started with traces and APM
- Learn about data types
- Collect application data
- View and analyze data
- Act on data
- Use APM securely
- Reduce storage
- Managed intake service event API
- Troubleshooting
- Synthetic monitoring
- Get started
- Scripting browser monitors
- Configure lightweight monitors
- Manage monitors
- Work with params and secrets
- Analyze monitor data
- Monitor resources on private networks
- Use the CLI
- Configure a Synthetics project
- Multifactor Authentication for browser monitors
- Configure Synthetics settings
- Grant users access to secured resources
- Manage data retention
- Scale and architect a deployment
- Synthetics Encryption and Security
- Troubleshooting
- Application performance monitoring (APM)
- Infrastructure and hosts
- Logs
- Inventory
- Incident management
- Data set quality
- Observability AI Assistant
- Machine learning
- Reference
- Get started
- Elastic Security
- Elastic Security overview
- Security billing dimensions
- Create a Security project
- Elastic Security requirements
- Elastic Security UI
- AI for Security
- Ingest data
- Configure endpoint protection with Elastic Defend
- Manage Elastic Defend
- Endpoints
- Policies
- Trusted applications
- Event filters
- Host isolation exceptions
- Blocklist
- Optimize Elastic Defend
- Event capture and Elastic Defend
- Endpoint protection rules
- Identify antivirus software on your hosts
- Allowlist Elastic Endpoint in third-party antivirus apps
- Elastic Endpoint self-protection features
- Elastic Endpoint command reference
- Endpoint response actions
- Cloud Security
- Explore your data
- Dashboards
- Detection engine overview
- Rules
- Alerts
- Advanced Entity Analytics
- Investigation tools
- Asset management
- Manage settings
- Troubleshooting
- Manage your project
- Changelog
Machine learning and AIOps
editMachine learning and AIOps
editThe machine learning capabilities available in Elastic Observability Serverless enable you to consume and process large observability data sets at scale, reducing the time and effort required to detect, understand, investigate, and resolve incidents. Built on predictive analytics and machine learning, our AIOps capabilities require no prior experience with machine learning. DevOps engineers, SREs, and security analysts can get started right away using these AIOps features with little or no advanced configuration:
| Feature | Description |
|---|---|
Detect anomalies by comparing real-time and historical data from different sources to look for unusual, problematic patterns. |
|
Find and investigate the causes of unusual spikes or drops in log rates. |
|
Detect distribution changes, trend changes, and other statistically significant change points in a metric of your time series data. |