Sleuth Documentation
HomeBlogSupportSign up
  • Getting started
  • Navigating Sleuth
  • DORA metrics
    • Deploy frequency
    • Change lead time
    • Change failure rate
    • MTTR
    • Interpreting Metrics in Sleuth
  • Deployment tracking
    • Organization
      • Labels
      • Trends
      • Compare
      • Search
      • Status
    • Projects
      • Issue trackers
    • Environments
    • Code deployments
      • Creating a deployment
      • How to register a deploy
      • Rollbacks
      • Automatic tagging
      • Deployment locking
      • Environment drift
      • Move code deployments
      • Search everything
    • Feature flags
    • Manual changes
    • Deploys
    • Teams
  • Work in Progress
  • Goals
  • Sleuth Automations
    • Automations Marketplace
      • Installing Automations
        • Installing PR "Update" Automations
      • Editing and uninstalling Automations
      • Smart suggestions
      • Understanding efficacy
    • Custom Automations
      • Automations Cookbook
      • Webhook Actions
      • Trigger Build Actions
        • Bitbucket Pipelines
        • CircleCI
        • Github Actions
        • Jenkins
  • Slack & Email Notifications
  • Auto-verify deploys
    • Anomaly detection
    • Error impact
    • Metric impact
  • Ignoring pull requests
  • Slack mission control
    • Approvals
    • Project notifications
    • Personal notifications
    • Search Sleuth in Slack
    • Project/Deployment history
    • Developer standup
  • Sleuth API
    • Deploy Registration
    • Deploy import
    • Manual Change
    • Custom Incident Impact Registration
    • Custom Metric Impact Registration
    • Deprecation information
    • GraphQL Queries
    • GraphQL Mutations
    • Query batching
  • Integrations
    • About Integrations...
    • Code integrations (read-only)
      • Azure DevOps
      • Bitbucket
      • GitHub
      • GitLab
      • Custom Git
      • Terraform Cloud
    • Code integrations (write)
    • Feature flag integrations
      • LaunchDarkly
    • Impact integrations
      • Error trackers
        • Bugsnag
        • Honeybadger
        • Rollbar
        • Sentry
      • Metric trackers
        • AppDynamics
        • AWS CloudWatch
        • Custom
        • Datadog
        • Jira metrics (Cloud / Data Center)
        • NewRelic
        • SignalFx
      • Incident tracker integrations
        • Blameless
        • PagerDuty
        • Datadog Monitors
        • Statuspage
        • Opsgenie
        • Jira (Cloud/Data Center)
        • FireHydrant
        • Rootly
        • ServiceNow
        • Custom
          • Grafana OnCall
      • CI/CD builds
        • Azure Pipelines
        • Bitbucket Pipelines
        • Buildkite
        • CircleCI
        • GitHub Actions
        • GitLab CI/CD Pipelines
        • Jenkins
    • Sleuth DORA App for Slack
    • Microsoft Teams integration
    • CI/CD integrations
      • Azure Pipelines
      • Bitbucket Pipelines
      • Buildkite
      • CircleCI
      • Github Actions
      • GitLab CI/CD Pipelines
      • Jenkins
    • Issue tracker integrations
      • Jira Cloud
      • Jira Data Center
      • Linear
      • Shortcut
    • Fixing broken integrations
  • Pulse
    • Welcome to Pulse docs
    • Quick Start setup guide
    • Beginner tutorials
      • 1. How to create a Teamspace
      • 2. How to create a Review
      • 3. How to create a Survey
  • Features
    • Reviews
      • Review workflow
      • Review templates
      • Widgets and Sections
        • Widget type
      • Review settings
    • Surveys
      • Survey Workflow
    • Teamspaces
    • Inbox
    • AI assistant
    • General settings
      • Users and Teams
      • Investment mix
  • Settings
    • Organization settings
      • Details
      • Authentication
        • SAML 2.0 Setup
          • Okta Configuration
          • Azure AD Configuration
          • PingIdentity Configuration
      • Access Tokens
      • Members
      • Team Settings
      • Billing
    • Project settings
      • Details
      • Slack settings
      • Environment settings
      • Code deployment settings
      • Feature flag settings
      • Impact settings
    • Account settings
      • Account settings
      • Notifications settings
      • Identities settings
    • Role Based Access Control
  • Resources
    • FAQ
    • Sleuth TV
    • Purchasing
    • About Sleuth...
Powered by GitBook
On this page

Was this helpful?

  1. Auto-verify deploys

Metric impact

PreviousError impactNextIgnoring pull requests

Last updated 1 year ago

Was this helpful?

Metric trackers or Observability tools track SLIs and data from key stats reported by your applications. Connect your cloud metrics provider to Sleuth so we can automatically verify the health of your deploys. Metrics impact are specific to a Sleuth and and will be used to determine the health of that project/environment combination.

Health verification is different from alerting! Alerting is for when your system is in strife and the on-call must be contacted. Impact lets you know when a metrics has changed in a significant way. For example, a new code change cause 5% more memory to be used. This may not breach an alerting level but it is something the developer who made the change should know and choose to accept or to fix.

Metrics trackers such as , , and allow users to specify a query, specific to the provider, that allows you us retrieve complex data and transforms from the system. When in Sleuth we will ask for a query that defines the value we will track:

You will need to be familiar with your metrics providers query language to configure a metric impact in Sleuth. Sleuth allows you to test your query to make sure we'll get the right values for your metric.

project
environment
AWS CloudWatch
Datadog
NewRelic
SignalFx
creating a Metric impact