Technical Documentation
Basic Docs
  • X (Twitter)
  • Discord
  • 👋Welcome
  • Introduction to CapsureLabs Ecosystem and Architecture
    • Overview of CapsureLabs System and Components
    • Target Audiences and Use Cases
    • Security Model and Access Management
  • System Architecture of CapsureLabs
    • Platform Architecture Overview
    • Microservices Architecture
    • Blockchain and External System Integration
  • API and Integrations
    • REST and WebSocket API
    • GraphQL API for Developers
    • Integration with Third-Party Services and Modules
  • Tools for Traders and Investors
    • AiTradeBot: Algorithms and Prediction
    • NFT Sniper: Data Analysis and Automation
    • DeFi Yield Optimizer: Integration and Yield Automation
    • Arbitrage Scanner: Automated Trade Execution
  • Smart Contract Development and Deployment
    • Essential Patterns and Practices in Smart Contract Development
    • Development Tools: Solidity, Hardhat, Truffle
    • Gas Optimization Solutions
  • Tools for Content Creators
    • NFT Creator Hub: Generation and Management
    • MetaGallery: Creating Virtual Galleries
    • IP Protection Tool: Smart Contracts for IP Protection
    • Revenue Splitter: Automated Revenue Distribution
  • Developer Tools
    • Web3 Dev Toolkit: Libraries and Frameworks
    • Smart Contract Debugger: Contract Testing
    • Chain Interoperability Tool: Building Cross-Chain Applications
  • Wallet Management and Monitoring
    • Wallet Aggregator: Managing Multiple Wallets
    • Decentralized Identity Manager: Access Control and Management
    • Transaction and Balance Monitoring Tools
  • Gaming and Metaverse
    • Game Asset Tracker: Monitoring Game Assets
    • Play-to-Earn Optimizer: Earnings Optimization
    • Virtual Land Manager: Virtual Real Estate Management
  • DAO and Decentralized Governance
    • DAO Governance Tool: Creation and Management
    • Community Incentive Manager: Token and Reward Management
  • Security Protocols and Data Protection
    • Authentication and Access Control
    • Data and Communication Encryption Methods
    • Compliance and Regulatory Alignment
  • Cloud Infrastructure and DevOps
    • Server and Network Configuration Management
    • Monitoring, CI/CD, and Disaster Recovery
    • Auto-Scaling and Load Balancing
  • Payment Gateways and Financial Integration
    • Cryptocurrency Payment Gateways
    • Fiat Payment Systems Integration
  • Machine Learning and Prediction Techniques
    • AI Algorithms for Data Analysis
    • Real-Time User Behavior Analysis
    • Automation and Content Generation
  • Testing and Quality Assurance
    • Automated and Manual Testing
    • Load Testing and Performance Optimization
    • System Monitoring and Auto-Recovery
  • GitHub
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On this page
  • 1.1 Overview
  • 1.2 CI/CD Pipeline Setup
  • 1.2.1 Pipeline Overview
  • 1.2.2 GitLab CI Pipeline Configuration
  • 1.3 Monitoring System Setup with Prometheus and Grafana
  • 1.3.1 Prometheus Configuration
  • 1.3.2 Grafana Configuration
  • 1.4 Disaster Recovery Strategy
  • 1.4.1 Backup Management
  • 1.4.2 Data Redundancy and Storage
  • 1.4.3 Failover Mechanisms
  1. Cloud Infrastructure and DevOps

Monitoring, CI/CD, and Disaster Recovery

1.1 Overview

This section describes the configuration and implementation of continuous integration/continuous deployment (CI/CD), system monitoring, and disaster recovery strategies for CapsureLabs. These processes ensure platform stability, allow for rapid iteration, and provide resilience against unexpected failures.


1.2 CI/CD Pipeline Setup

1.2.1 Pipeline Overview

Compile code, build Docker images, and store in a registry.

Run automated tests, including unit, integration, and security tests.

Deploy images to Kubernetes clusters for staging or production environments.

1.2.2 GitLab CI Pipeline Configuration

stages:
  - build
  - test
  - deploy

variables:
  DOCKER_IMAGE: registry.gitlab.com/capsurelabs/app

build:
  stage: build
  script:
    - docker build -t $DOCKER_IMAGE .
    - docker push $DOCKER_IMAGE

test:
  stage: test
  script:
    - docker run $DOCKER_IMAGE npm test

deploy:
  stage: deploy
  environment: production
  script:
    - kubectl apply -f kubernetes/deployment.yaml
    - kubectl apply -f kubernetes/service.yaml
  only:
    - main

1.3 Monitoring System Setup with Prometheus and Grafana

1.3.1 Prometheus Configuration

apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: app-monitor
  labels:
    app: capsurelabs
spec:
  selector:
    matchLabels:
      app: capsurelabs
  endpoints:
    - port: http
      interval: 15s
      path: /metrics

1.3.2 Grafana Configuration

Use predefined Prometheus queries in Grafana to monitor CPU usage, memory, network traffic, and error rates.

Configure alerts for critical metrics (e.g., high CPU usage, memory leaks). Alerts can be routed to communication channels like Slack or email.

# CPU Usage
sum(rate(container_cpu_usage_seconds_total{namespace="capsurelabs"}[5m])) by (pod)

1.4 Disaster Recovery Strategy

1.4.1 Backup Management

velero backup create capsurelabs-backup --include-namespaces=capsurelabs

1.4.2 Data Redundancy and Storage

Use database replication (e.g., PostgreSQL replication) to ensure copies of data are maintained across multiple nodes.

Implement automated snapshots of persistent volumes for quick restoration of data.

1.4.3 Failover Mechanisms

readinessProbe:
  httpGet:
    path: /health
    port: 80
  initialDelaySeconds: 5
  periodSeconds: 10
livenessProbe:
  httpGet:
    path: /health
    port: 80
  initialDelaySeconds: 5
  periodSeconds: 10

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Last updated 7 months ago

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