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When using UQL, you may need to align your metric points to create a meaningful chart. This topic explains the concept of alignment and how to use it in UQL queries.
Learn the basics for log ingestion pipelines.
Use Cloud Observability to monitor performance of you services.
Get insights and learn from your logs.
Set up and query logs in Cloud Observability.
It's easy to get started with Cloud Observability. Sign up for an account; send logs, metrics, and traces; and see data flow into Cloud Observability.
Query logs to monitor performance and troubleshoot issues.
Learn how metrics, tracing, Microsatellites, the SaaS platform, and the web UI work to analyze 100 percent of unsampled transaction data from distributed, deep systems to produce complete end-to-end traces and robust metrics that explain performance behaviors and accelerate root cause analysis.
Configure the Datadog Agent to send logs to Cloud Observability.
Configure the Datadog Agent to send telemetry data to Cloud Observability.
Process, parse, and filter incoming logs.
Learn concepts and general guidelines for sending logs to Cloud Observability.
Process and parse incoming logs.
Choose a tool and start sending logs to Cloud Observability.
Learn about sending and viewing log data in Cloud Observability.
Cloud Observability has several tools that help you in all your observability flows, whether it's continual monitoring, triaging an incident, correlation analysis, or managing your team's observability practices.
You can create notebooks for ad-hoc queries, post-mortems, runbooks, collaboration, or anytime you want to keep a record of an investigation.
Query logs, metrics, and spans in Cloud Observability using the Unified Query Builder or Unified Query Language.
Explore older logs by moving them from cold to hot storage.
Learn how to send logs to Cloud Observability.
Full reference guide for Cloud Observability's Unified Query Language (UQL).
An in-depth description of UQL join stage
Learn how to query your metric and span data in Cloud Observability using the Unified Query Builder.
Use Docker to run the Kong API Gateway and the OpenTelemetry Collector to send logs, metrics, and traces to Cloud Observability.