Rely.io
  • πŸ“ŒWhat is Rely.io?
  • πŸ’‘How Rely.io works
  • πŸ“‘Getting Started Guide
    • Create an account for your organization
    • Add your first plugin
    • Import services into the Service Catalog
    • Make the Software Catalog your own
    • What's Next?
  • 🌈Basic Concepts
    • Entities
    • Blueprints
    • Property Data Types
    • Catalogs
    • Data Model
    • Plugins
    • User Blueprints vs Plugin Blueprints
    • Actions and Automations
      • Automation Rules
      • Self-Service Actions
    • Home Pages
    • Scorecards
  • πŸ“šGuides & Tutorials
    • Enhancing Deployment Visibility through Gitlab Pipelines and Rely's API
  • πŸ–₯️Software Catalog
    • Overview and Use Cases
    • Usage Guide
      • Creating a new Entity
      • Updating an Entity
      • Tracking Entity Changes
      • Customizing an Entity's Page
      • Customizing a Catalog
      • Creating a new Blueprint & Catalog
      • Updating a Blueprint
      • Tracking Blueprint Changes
    • Relevant Guides
    • Troubleshooting
  • πŸ₯‡Scorecards
    • Overview and Use Cases
    • Usage Guide
      • Creating a Scorecard
      • Updating a Scorecard
      • Evaluating Performance
    • Scorecard Examples
      • Production Readiness Scorecard Example
      • DORA Metrics Scorecard Example
      • Operational Maturity Example
  • 🎨Home Pages
    • Overview and Use Cases
    • Usage Guide
      • Creating a New Tab
  • ⚑Self-Service Actions
    • Overview and Use Cases
    • Usage Guide
      • Configuring your Self Service Agent
      • Managing your Actions Catalog
      • Self-Service Actions as Code
      • Running Actions
      • Tracking Action Runs
  • ↗️Plugins & Automation
    • What happens when you install a Plugin?
    • Self-Hosting Plugins using Galaxy
    • πŸ€–Automation Rules
      • Overview and Use Cases
      • Usage Guide
        • Creating an Automation Rule
        • Updating an Automation Rule
        • Tracking Automation Changes
        • Managing Automation Suggestion
    • πŸ”ŒPlugin Installation Guides
      • ⭐AWS
      • Bitbucket
      • ⭐Flux
      • GitHub
      • GitLab
      • ⭐Google Cloud Platform (GCP)
      • ⭐Kubernetes
      • ⭐OpsGenie
      • ⭐PagerDuty
      • ⭐Snyk
      • ⭐SonarQube
  • 🌐Public API
    • Audit Logs
    • Automations & Self-Service Actions
    • Automation Suggestions
    • Blueprints
    • Dashboards & Views
    • Entities
    • Scorecards
    • Self-Service Action Runs
    • Time Series
    • Users
    • Webhooks
  • βš™οΈInvite Users
  • πŸ›‘οΈSecurity & Compliance
    • Single Sign-On (SSO)
      • SAML with Google Workspace
      • SAML with Microsoft Entra ID
      • SAML with Okta
      • OIDC with Okta
      • OIDC with Google Workspace
  • πŸ₯Troubleshooting
  • ❓FAQ
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  • Operational Maturity Overview
  • Key Elements to Track for Operational Maturity

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  1. Scorecards
  2. Scorecard Examples

Operational Maturity Example

Operational Maturity Overview

Operational maturity is about consistently applying best practices to build reliable, efficient software and services. High operational maturity means fewer incidents, faster recovery times, and a reputation for reliability that can set your organization apart. By tracking operational maturity, you can pinpoint where improvements are needed to reduce customer-facing issues, improve response times, and deliver a smoother user experience.

In practice, operational maturity involves an ongoing commitment to high standards across service management, maintenance, and incident response. It’s not just about performance at a specific moment, but about establishing and maintaining processes that ensure quality over the long term. This requires a detailed approach to tracking, measuring, and acting on metrics that reflect the health and stability of your services.

To assess operational maturity, monitor the key performance indicators listed above for each service in your catalog. These metrics provide a structured way to assess both immediate service performance and longer-term reliability. By assigning a tiered ranking based on these measures, you can ensure that your services align with organizational standards and industry benchmarks.

Tracking operational maturity in this way not only gives you a snapshot of current service quality but also builds a foundation for continuous improvement. With clear metrics and thresholds, your team can stay focused on maintaining high standards and addressing issues proactively, reducing the risk of unplanned downtime, and ensuring that your software delivers a high-quality experience at every touchpoint.

Key Elements to Track for Operational Maturity

πŸ… Gold Tier

  • Error Rate -> Maintain an error rate below 1% to ensure service stability.

  • P99 Latency -> Keep P99 latency under 150ms, minimizing delay for most users.

  • Apdex Score -> Achieve an Apdex score above 0.9 for user satisfaction.

  • Incident Frequency -> Avoid critical incidents for a full seven days.

  • Security Vulnerabilities -> Ensure no critical vulnerabilities remain unresolved within the last week.

πŸ₯ˆ Silver Tier

  • Error Rate -> Keep error rates below 2.5% to limit service disruptions.

  • P99 Latency -> Maintain P99 latency below 300ms for reasonable response times.

  • Apdex Score -> Aim for an Apdex score above 0.8, reflecting user confidence in performance.

  • Incident Frequency -> Limit critical incidents to one in any given seven-day period.

  • Security Vulnerabilities -> No more than one critical vulnerability should exist within a seven-day window.

πŸ₯‰ Bronze Tier

  • Error Rate -> Keep error rates under 5% to avoid major service issues.

  • P99 Latency -> Ensure P99 latency remains below 500ms for functional performance.

  • Apdex Score -> Maintain an Apdex score above 0.6, indicating baseline user satisfaction.

  • Incident Frequency -> Limit to no more than two critical incidents over seven days.

  • Security Vulnerabilities -> Keep unresolved critical vulnerabilities to two or fewer in a seven-day period.

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Last updated 7 months ago

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