SLI Metrics Definitions
50+ ready-to-use SLI definitions for every layer of the stack — availability, latency, throughput, correctness — with measurement queries.
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SLI Metrics Definitions
50+ SLI Definitions for Every Layer of Your Stack
Reference library of SLI definitions covering the full technology stack.
What's Included
Guide Chapters
- Chapter 1: SLI Taxonomy and Measurement
- Chapter 2: Frontend and API Layer SLIs
- Chapter 3: Database and Storage Layer SLIs
- Chapter 4: Infrastructure and Pipeline SLIs
- Chapter 5: Business Process and Composite SLIs
Features
- 50+ predefined SLI definitions across 6 stack layers
- Measurement methodology: client vs server, request vs time
- Instrumentation patterns for OpenTelemetry, Prometheus
- Threshold guidance with target zones
- Frontend: page load, Core Web Vitals, error rates
- API: latency percentiles, throughput, error budget
- Database: query perf, connection pool, replication lag
- Infrastructure: compute, network, disk I/O
Technical Stack
Prometheus, OpenTelemetry, Grafana, Datadog
Quick Start
1. Start with the interactive reader (index.html) or browse the guide chapters directly
2. Chapter 1 provides a free preview -- explore the full product after purchase
3. Each chapter includes code examples, configuration snippets, and best practices
4. Use the search and theme toggle in the reader to customize your experience
Requirements
- No specialized software required for reading the guides
- Code examples include setup instructions within each chapter
- Python 3.8+ recommended for running example scripts
- A modern web browser for the interactive reader
File Structure
sli-metrics-definitions/
+-- README.md # This file
+-- LICENSE # MIT License
+-- index.html # Interactive reader (free preview)
+-- free-sample.zip # Free sample with Chapter 1
+-- guide/
+-- 01-*.md through 05-*.md
... continues with setup instructions, usage examples, and more.
📄 Content Sample guide/01-sli-taxonomy-and-measurement.md
Chapter 1: SLI Taxonomy and Measurement
Duration: 45-60 minutes | Difficulty: Intermediate | Prerequisites: Basic familiarity with Prometheus, OpenTelemetry, Grafana, Datadog
Learning Objectives
By the end of this chapter, you will be able to:
1. Define the core architectural patterns and principles
2. Design a reference architecture aligned to business requirements
3. Identify the appropriate building blocks for each layer
4. Evaluate trade-offs between different design approaches
5. Create an implementation roadmap from architecture to production
6. Apply Prometheus patterns to production scenarios
1. Understanding the Fundamentals
Before diving into implementation, it is essential to establish a solid conceptual foundation. SLI Taxonomy and Measurement forms a critical pillar of the SLI Metrics Definitions framework, and getting the fundamentals right determines the success of everything built on top.
1.1 Core Concepts
The core concepts underlying this chapter are rooted in established industry patterns and best practices. Each concept builds on the previous one, creating a coherent framework for reasoning about complex systems.
| Concept | Description | Application |
|---|---|---|
| Foundation Layer | The core primitives and building blocks | Establish base capabilities for all higher-level patterns |
| Integration Layer | Interfaces and connectors between components | Define clear boundaries and contracts between subsystems |
| Orchestration Layer | Coordination and workflow management | Manage multi-step processes with error handling |
| Observability Layer | Monitoring, logging, and tracing | Provide visibility into system behavior and performance |
| Governance Layer | Policies, controls, and compliance | Ensure consistent operation within organizational guardrails |
1.2 Why This Matters
In production environments, getting this wrong has measurable consequences. Teams that implement these patterns correctly experience:
- Reduced incident frequency by 40-60% through proactive detection
- Faster mean-time-to-resolution through structured procedures
- Higher team confidence through documented and tested runbooks
- Lower operational overhead through automation and standardization
2. Implementation Walkthrough
... and much more in the full download.