Scale and Deploy Your Application

Learn how to scale efficiently and deploy your applications with Matat's powerful infrastructure and monitoring tools.

Overview

Scaling and deploying your application using Matat ensures seamless performance and robust reliability. This guide walks you through the essentials of scaling infrastructure, deployment processes, and real-time monitoring.

Infrastructure

Leverage auto-scaling, container management, and distributed storage for efficient resource allocation.

Deployment

Use CI/CD pipelines, blue-green deployments, and rollback strategies for safe and secure releases.

Monitoring

Access real-time dashboards, metrics, and alerts to maintain optimal performance and reliability.

Scaling Strategies

Auto-Scaling

Matat automatically adjusts resources based on demand, ensuring cost efficiency without performance drops.

Example Strategy:


scaling:
  min: 2 instances
  max: 10 instances
  rules:
    - CPUUtilization: 70

Sharding

Distribute data across clusters for high availability and faster query responses.

Query Sharding:


const shard = db.shards[hashCode(user.id) % 4];

Deployment Process

CI/CD Deployment

  1. Push changes to your Git repository
  2. Triggers automated build and testing pipelines
  3. Deploy to staging environment
  4. Approval and production deployment

Example .github/workflow.yml


name: Deploy App
env:
  DEPLOY_KEY: ${{ secrets.MATAT_KEY }}
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Build Image
        run: docker build -t matat-app .

Monitoring and Reliability

Dashboard Overview

Access real-time metrics from CPU usage, load times, and error rates.

  • Custom alerts based on thresholds
  • Historical performance data
  • Audit logs for every deployment

Best Practices

Always configure SLIs and alerts to proactively address performance anomalies before user impact.

[Dashboard Screenshot Here]

Optimization Techniques

Cache Layers

Add Redis or CDNs to reduce server load and improve latency by caching frequently accessed data.


const cachedResult = cache.get(`query:${userId}`);

Optimize Builds

Remove unused dependencies and bundle with tree shaking tools like Webpack or Vite for smaller deployment payloads.

  • Use lazy loading
  • Enable production mode
  • Minify assets

Frequently Asked Questions

How do you handle downtimes during deployments?

Matat uses blue-green deployment strategies ensuring 100% uptime. Your application remains live while new changes are tested in isolation before rollout.

Can I scale manually instead of auto?

Yes, you have full access to manual scaling via our console or API, making it perfect for predictable workloads.

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