Root Cause Analysis

Add inferred services

Create project-based rules to add inferred services (external services, libraries, or dependencies that haven’t been instrumented) to your dependency maps.

Create and manage Workflow Links

Create, edit, clone, and delete Workflow Links.

Create deployment markers

You can add deployment markers to your charts to see when service versions change, and if the change affects performance in any way.

Create event markers

You can add event markers to your charts to see when defined events took place.

Create links to important information

Cloud Observability lets you add flexible Workflow Links on the Trace View page that link to other resources, allowing access to all the info you need when you need it.

Data visualizations

Use panels in dashboards, notebooks, and alerts to visualize data.

Explore logs

Get insights and learn from your logs.

Find correlated areas of latency and errors

A standard method of identifying the root cause of a performance regression is to manually comb through traces and search for common system attributes associated with that regression or with errors. With Correlations, {{site.name}} helps you find attributes correlated with latency and errors automatically.

Notebooks

You can create notebooks for ad-hoc queries, post-mortems, runbooks, collaboration, or anytime you want to keep a record of an investigation.

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When viewing a metric chart, you can pivot to see span span examples correlated with the metric being displayed

Query real-time span data

Cloud Observability's Explorer view allows you to query all span data currently in the retention window. You create Snapshots that are durably persisted, allowing you to view performance at a certain point in time and share that Snapshot with others. You can see real-time span data, filter and group that data, and drill down on common attributes that may be causing latency.

Register service-name attributes

Register a service-name attribute on metrics to let Cloud Observability correlate metric and trace data.

Service health

Cloud Observability offers a way to quickly see how all your services and their operations are performing in one place - the Service Directory view.

Set Slack preview preferences

When you integrate Cloud Observability with Slack, you can copy a link to a specific Explorer query or Trace View page, post it into any Slack channel in your workspace, and all the pertinent info from that page displays in the Slack channel.

Use dependency maps

You can add dependency maps to your dashboards and notebooks that allow you to view services and operations in context of each other, both up and downstream.

Use scatter plots

Add scatter plots to dashboards and notebooks, visualizing spans and the traces they come from.

Use variables in Workflow Links

Use variables to render Workflow Link names, URLs, and rules.

View service hierarchy and performance

You can use Cloud Observability's Service diagram to get an aggregate view of trace data as a request travels through your system. The Service diagram provides a visual, interactive, and hierarchical representation of a system’s behavior for a given point in time.

View traces

You use the Trace view to see a full trace from beginning to end of a request. The Trace view shows you a flame graph of the full trace (each service a different color) and below that, each span is shown in a hierarchy, allowing you to see the parent-child relationship of all the spans in the trace. Errors are shown in red.

Workflow Links cookbook

Templates and examples for popular Workflow Links in Cloud Observability.