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Saurabh DantaniFull Stack Developer
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Cloud Architecture & Reliability

AWS Cloud Infrastructure & DevOps Engineering

Deploy production web applications and APIs that never crash under load. I configure reliable AWS cloud infrastructure, Docker containers, Nginx reverse proxies, and automated CI/CD pipelines.

Reliable, Zero-Downtime Infrastructure

Eliminate server downtime, fragile deployment scripts, and insecure credentials with battle-tested cloud architecture.

AWS Production Infrastructure Architecture

Architect robust production environments across Amazon EC2, RDS (PostgreSQL/MySQL), S3 bucket asset pipelines, and CloudFront global CDNs configured for 99.99% reliability and minimum latency.

Docker Containerization & Multi-Stage Builds

Lean, production-hardened Docker images built with multi-stage compilations that trim container image sizes by up to 80%, reduce attack surfaces, and run seamlessly across staging and production.

Nginx Reverse Proxy & Automated SSL

Production Nginx configurations featuring HTTP/2 and HTTP/3 support, Gzip/Brotli compression, rate limiting against brute-force attacks, and automated Let’s Encrypt SSL/TLS certbot renewal.

PM2 Cluster Mode & Daemon Orchestration

Zero-downtime deployments utilizing PM2 cluster mode to scale Node.js processes across all available CPU cores, coupled with auto-restarts on unexpected unhandled exceptions or memory leaks.

Automated CI/CD Deployment Pipelines

GitHub Actions continuous integration pipelines that run automated test suites, linting checks, build validation, and trigger zero-downtime atomic deployments directly upon merging to main.

Security Hardening & Automated Backups

AWS Security Groups, strict firewall rules (UFW), SSH key-only access, non-root container users, and scheduled daily automated snapshots with cross-region disaster recovery.

What You Receive

Provisioned and secured AWS EC2 instance or ECS cluster
PostgreSQL / MySQL on AWS RDS with automated snapshots
Amazon S3 storage bucket setup with IAM restricted policies
Nginx reverse proxy with SSL / TLS certificates (A+ rating)
Multi-stage Dockerfile and docker-compose.yml configurations
GitHub Actions CI/CD pipeline for push-to-deploy workflows
Automated daily database backups to S3 with retention policies
Detailed runbook documentation for server maintenance and monitoring

4-Phase Cloud Engineering Workflow

From security baseline hardening to automated CI/CD and disaster recovery testing.

01

Infrastructure & Workload Assessment

We review your traffic projections, compute requirements, storage needs, and cloud budget to choose optimal instance sizing.

02

Server Provisioning & Security

We provision VPCs, configure security firewalls, lock down SSH access, and set up hardened Linux OS baselines.

03

Containerization & CI/CD Setup

We containerize your services, configure Nginx reverse proxies, SSL certificates, and set up automated GitHub Actions deploys.

04

Load Testing, Backups & Handover

We simulate traffic spikes, verify automated backup restore routines, and deliver complete root credentials with maintenance guides.

Production Case Study

Full-Stack Cloud Infrastructure & Admin Dashboard

Engineered the complete production deployment pipeline for an enterprise administrative portal on AWS EC2. Implemented Docker container orchestration, Nginx reverse proxy with SSL, PM2 cluster management, automated GitHub Actions CI/CD, and scheduled daily database snapshots to Amazon S3.

99.99%
Service Uptime
<60s
CI/CD Deploy Time
0 Downtime
Rolling Rebuilds
Read Full Infrastructure Case Study
DevOps Stack
AWS EC2AWS RDSAmazon S3DockerNginxGitHub ActionsPM2SSL CertbotLinux

Transparent DevOps Pricing Models

Reliable cloud infrastructure with complete root credential handover.

Server Setup & Hardening

$1,200 – $2,200
Typical timeline: 1–2 weeks

Production setup on AWS EC2 or DigitalOcean with Docker, Nginx, SSL, and CI/CD.

  • AWS EC2 / VPS provisioning & hardening
  • Docker & docker-compose configuration
  • Nginx reverse proxy with automated SSL
  • GitHub Actions automated deployment
  • Automated daily database backups
Choose Server Setup & Hardening
Most Common

Multi-Tier Cloud Infrastructure

$2,800 – $5,200
Typical timeline: 3–5 weeks

High-availability architecture with managed database, Redis cache, S3 CDN, and monitoring.

  • AWS EC2/ECS + RDS PostgreSQL setup
  • Amazon S3 bucket with CloudFront CDN
  • Redis caching & worker queue setup
  • Zero-downtime rolling deployment pipeline
  • Uptime monitoring & alert webhooks
  • 30-day post-launch warranty support
Choose Multi-Tier Cloud Infrastructure

Monthly DevOps Maintenance

$1,800 / month
Typical timeline: Ongoing monthly

Continuous server maintenance, security patches, performance tuning, and on-call support.

  • 15–20 hours dedicated engineering per week
  • OS security patches & dependency updates
  • Database health monitoring & query tuning
  • Emergency outage on-call response
  • Month-to-month flexibility
Choose Monthly DevOps Maintenance

Frequently Asked Questions

Details on cloud hosting options, zero-downtime deploys, and disaster recovery.

Why should we host on AWS instead of PaaS providers like Vercel, Render, or Heroku?

While PaaS platforms are simple initially, bandwidth and compute markups become exorbitant as traffic grows (up to 5x–10x more expensive than raw AWS infrastructure). A self-managed AWS EC2 or ECS setup gives you full control over CPU, memory, Docker networking, background workers, and persistent databases for a fraction of the monthly operating cost.

How do you ensure zero-downtime deployments when pushing new code?

We use atomic deployments and PM2 cluster reload or blue-green Docker container swaps. The new application version spins up and passes internal health checks before Nginx routes traffic to it, ensuring end-users never encounter 502 bad gateway errors during deploys.

How do you prevent surprise runaway AWS bills?

I configure strict AWS Budgets with automated email and Slack billing alerts at 50%, 80%, and 100% thresholds, enforce lifecycle rules on S3 storage to automatically archive stale logs to Glacier, and provision appropriately sized reserved or spot instances to avoid costly over-provisioning.

What happens if the server crashes or runs out of memory?

Every deployment is configured with automatic process supervisor restarts (PM2 / Docker restart policies), system swap memory buffers to absorb burst spikes, and cloud health monitoring that dispatches instant alerts via Slack or SMS if resource utilization exceeds thresholds.

Related Architecture & Services

Ready to Hard-Wire Your Cloud Deployment?

Let's build a production AWS infrastructure that deploys automatically on every git push and never crashes.

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