Skip to content

SLOzy User Guide ​

Complete guide to using SLOzy commercial platform for Service Level Objective management.

👥 Target Audience ​

This guide is designed for:

  • DevOps Engineers who want to monitor service reliability
  • Site Reliability Engineers implementing SLO frameworks
  • Technical Leads managing team performance metrics
  • Startups lacking SRE expertise

🏗️ System Overview ​

SLOzy provides a comprehensive solution for managing and monitoring Service Level Objectives with the following components:

Core Components ​

  1. SLO Management - Create, update, and monitor SLOs
  2. Prometheus Integration - Connect to multiple Prometheus data sources
  3. Real-time Monitoring - Live dashboards with instant updates
  4. Notifications - Multi-channel alerting system
  5. Caching - Query result caching for performance
  6. GitOps - Repository synchronization with SLO files
  7. Analytics - Anomaly detection and recommendations

Architecture ​

┌─────────────────────────────────────────────────┐
│              SLOzy Application Layer               │
├─────────────────────────────────────────────────┤
│  Frontend: React + TypeScript                      │
│  Backend: Go + Gin Framework                     │
│  WebSocket: Real-time updates                    │
├─────────────────────────────────────────────────┤
│              Integration Layer                      │
├─────────────────────────────────────────────────┤
│  • Prometheus Metrics Ingestion                 │
│  • GitOps Repository Sync                        │
│  • Alert Delivery System                         │
│  • Query Caching Layer                          │
├─────────────────────────────────────────────────┤
│              Data Layer                             │
├─────────────────────────────────────────────────┤
│  PostgreSQL: Persistent SLOs, users, metrics    │
│  Redis: Caching, sessions, real-time data       │
│  Time-Series Database: Historical metrics        │
└─────────────────────────────────────────────────┘

🚀 Getting Started ​

First Steps ​

  1. Install SLOzy - Follow our Installation Guide
  2. Create Your Account - Set up authentication
  3. Configure Prometheus - Add your data sources
  4. Create First SLO - Start monitoring immediately
  5. Set Up Alerts - Get notifications about issues

Core Concepts ​

Service Level Objectives (SLOs) ​

SLOs define the target performance for your services:

Key SLO Components:

  • Target Percentage: The desired performance level (e.g., 99.9%)
  • Time Window: The period over which performance is measured
  • Metric Type: Type of metric being tracked (availability, latency, throughput)
  • Prometheus Query: The metric collection query

Example SLO:

Name: API Response Time
Target: 99.9%
Time Window: 1 hour
Metric: Latency (P95)
Query: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m]))

Error Budgets ​

Error budgets represent the amount of failure you can accept:

Error Budget = (1 - Target) × Total Requests

Example: For 99.9% target and 1M requests:

Error Budget = (1 - 0.999) × 1,000,000 = 1,000 errors allowed

Burn Rate ​

The rate at which you consume your error budget:

Burn Rate = Errors per Time / Error Budget per Time

📚 Feature Documentation ​

1. SLO Management ​

Complete Guide

Create, update, and monitor Service Level Objectives.

Key Operations:

  • Create SLOs: Define performance targets for your services
  • Update SLOs: Modify targets and queries as needed
  • Version Control: Track changes with git-like versioning
  • Monitor Performance: See real-time performance against targets

Use Cases:

  • Monitor API response times
  • Track application availability
  • Measure throughput metrics
  • Monitor database performance

2. Real-time Monitoring ​

Complete Guide

Live dashboards with instant metric updates via WebSocket.

Features:

  • Live Dashboards: Real-time SLO performance
  • WebSocket Updates: Instant metric changes
  • Status Indicators: Health status for each SLO
  • Historical Trends: Performance over time

Navigation:

  • Dashboard → All SLOs overview
  • SLO Detail Page → Individual SLO monitoring
  • Real-time Metrics → Latest performance data

3. Notifications ​

Complete Guide

Multi-channel alerting system for SLO violations.

Notification Channels:

  • Email: Automated email alerts
  • Slack: Slack channel notifications
  • Webhook: Custom webhook integrations

Alert Configuration:

  • Create Alert Rules: Define when to trigger alerts
  • Set Priorities: Low, medium, high, critical
  • Schedule Notifications: Time-based alert rules
  • Test Alerts: Verify notification delivery

4. Caching System ​

Complete Guide

Query result caching for improved performance.

Cache Features:

  • Automatic Caching: Query results stored for fast access
  • Configurable TTL: Control cache expiration
  • Cache Statistics: Hit rates, memory usage
  • Manual Invalidation: Clear cache as needed

Performance Impact:

  • 60-80% database load reduction
  • Sub-second query responses
  • Improved scalability

5. GitOps Integration ​

Complete Guide

Synchronize SLOs with repository files for GitOps workflows.

Features:

  • Repository Sync: Automatic sync with Git repositories
  • PR Validation: Validate SLOs in pull requests
  • Version History: Track all SLO changes
  • Conflict Resolution: Handle merge conflicts

Use Cases:

  • Infrastructure as Code
  • Change management
  • Team collaboration
  • Audit compliance

🛠️ Configuration ​

Application Configuration ​

Complete Guide

Environment variables and application settings.

Database Configuration ​

Complete Guide

Database setup, migrations, and optimization.

Security Configuration ​

Complete Guide

Authentication, authorization, and security settings.

Monitoring Configuration ​

Complete Guide

Prometheus, Grafana, and alerting setup.

🔗 API Reference ​

Complete API documentation for all endpoints:

🚀 Deployment ​

Development Setup ​

Complete Guide

Local development environment setup.

Docker Deployment ​

Complete Guide

Container-based deployment.

Kubernetes Deployment ​

Complete Guide

Production Kubernetes deployment with auto-scaling.

Production Hardening ​

Complete Guide

Security, performance, and reliability hardening.

📊 Operations ​

Monitoring Guide ​

Complete Guide

Metrics, dashboards, and alerting setup.

Performance Tuning ​

Complete Guide

Optimization techniques and best practices.

Backup & Recovery ​

Complete Guide

Data backup procedures and disaster recovery.

🛡️ Security ​

Security Overview ​

Complete Guide

Security architecture and threat model.

Authentication ​

Complete Guide

Login, OAuth, and session management.

Authorization ​

Complete Guide

RBAC, permissions, and access control.

🔧 Troubleshooting ​

Common Issues ​

Complete Guide

Common problems and solutions.

FAQ ​

Complete Guide

Frequently asked questions.

Glossary ​

Complete Guide

Technical terms and definitions.

📞 Support ​

For additional help:

Use the sidebar to navigate between sections. Each section has its own table of contents for easy navigation.

📖 Documentation Sections ​

SectionDescriptionTarget Audience
Getting StartedInstallation and setupAll users
InstallationInstallation guidesDevOps/SRE
ConfigurationConfiguration optionsAdmins
FeaturesFeature documentationAll users
API ReferenceAPI documentationDevelopers
DeploymentDeployment guidesDevOps
OperationsOperations and monitoringSREs
SecuritySecurity practicesSecurity engineers
TroubleshootingProblem solvingAll users

Next: Quick Start Guide ⏭️

Language: 🇬🇧 English | 🇷🇺 Русский