Get your data in

Get your data into Observe using the Observe Agent. You can also configure your own OTel collector, or bring in data without using the Observe Agent.

Use the Observe Agent to get your data in to Observe

Get your cloud data in to Observe

AWS at scale

Get your cloud infrastructure data from AWS into Observe.

Microsoft Azure

Get your cloud infrastructure data from Microsoft Azure into Observe.

Google Cloud Platform

Get your cloud infrastructure data from Google Cloud Platform into Observe.

Use other methods to get your data in to Observe

Observe integrations

Install Observe self-service apps to get your data in to Observe using the Observe Agent.

Custom data ingestion

Learn how to get your data into Observe without using the Observe Agent.

Configure your own OTel collector

Learn how to configure a plain OTel collector to get data into Observe so that the proper Datasets are created.

Instrument your apps to get your app data in to Observe

APM instrumentation

Learn how to send your application data to the Observe Agent, which then sends that data to Observe.

LLM instrumentation

Learn how to send your LLM application data to the Observe Agent, which then sends that data to Observe.

AI

Use Observe's AI features to troubleshoot faster at scale, pinpoint root causes ,and suggest fixes.

AI SRE

Use AI SRE to help you investigate incidents, debug slow or error-prone services, and summarize observability insights across logs, metrics, and traces all through natural language.

MCP Server

Use Observe's MCP Server to connect your agentic tools securely to your Observe tenant so they can investigate incidents or explore logs, metrics or traces.

o11y AI Help

Use o11y AI Help to ask about specific functionality within Observe, how to perform tasks, and how to solve problems.

Use Observe

Learn how to use the Observe platform.

Learn OPAL

Learn OPAL

Get started with the Observe Processing and Analytics Language (OPAL) for querying and shaping data in Observe.

Performance cookbook

Learn how to optimize performance in your OPAL data pipelines, such as scaling queries, reducing compute cost, and writing more efficient scripts.

Helpful hints

View frequently-asked questions from the Observe community and get practical tips on how to use OPAL effectively.

Explore and investigate your logs and metrics

Log Explorer

Learn how to use the Log Explorer to filter, manage, and visualize your log data.

Dashboards

Visualize the data in your Datasets in one place, and pivot to other areas of Observe to kick off additional workflows.

Metrics Explorer

Use the Metrics Explorer to examine and manage the metrics data being sent to Observe.

Get visibility into your Snowflake, Kubernetes, LLM data, traces, and system services.

Snowflake observability

Learn how to integrate Snowflake management views and observability data from multiple accounts into a single view.

Kubernetes observability

Get instant visibility into your entire Kubernetes stack– including infrastructure, Kubernetes platform, and deployed workloads.

LLM observability

Get detailed visibility into, monitor, and troubleshoot LLM-enabled applications.

Trace Explorer

Investigate user requests and transactions by analyzing trace data.

Service Explorer

Use the Service Explorer to visualize, monitor, and understand your system’s architecture and performance.

Monitors and alerting

Monitors and alerts

Learn how to build Monitors to alert you when conditions are matched in your data.

Monitor examples

See examples of how to build various types of Monitors.

Alert Explorer

View all your alerts in Observe using the Alert Explorer.