Available for Q2/Q3 DevOps Engagements

Scalable Cloud Infrastructure. Zero Downtime. Lean AWS Bills.

I help founders and software engineering teams replace manual deploys with rock-solid Terraform automation, containerized cloud architectures, and slashed cloud overhead.

deploy@shuja-cloud: ~/infrastructure
Terraform v1.8.5

$ terraform plan -out=tfplan.binary

$ terraform apply tfplan.binary

✔ aws_ecs_service.production: 0 downtime rolling deployment successful

✔ aws_alb_target_group.health_check: 200 OK (latency: 18ms)

Apply complete! Resources: 14 added, 0 changed, 0 destroyed.

Production Metrics & Performance Benchmarks

Metric
0.00%

Production Uptime SLA

Across multi-tenant AWS ECS & EKS workloads

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0 stages

Automated Pipeline Gates

Multi-stage CI/CD with SonarQube, Docker & Trivy

Metric
<0 min

Average Deploy Cycle

Fully automated, zero-downtime CI/CD pipelines

Metric
0+

Enterprise Tenants Scaled

Multi-tenant containerized architectures across AWS

The DevOps Foundation

Three Pillars of Modern Cloud Reliability

Every architecture I design is engineered around three non-negotiable fundamentals: frictionless deployments, bulletproof automation, and relentless observability.

01.

Deploy

Zero-Downtime Releases

Modernize manual, fragile deployments into immutable, automated pipelines. Roll out features to production with zero customer downtime using blue/green and canary strategies on AWS ECS & EKS.

Key Deliverables:
  • Zero-downtime Blue/Green & Canary rollouts
  • Containerized microservices with Docker & AWS ECS
  • Automated staging & ephemeral preview environments
  • Instant automated rollbacks on health check failure
02.

Automate

Declarative Infrastructure as Code

Eliminate click-ops and configuration drift once and for all. Turn your entire cloud footprint into reproducible, peer-reviewed Terraform code that your team can inspect, test, and spin up in minutes.

Key Deliverables:
  • Turnkey Terraform & OpenTofu architectures
  • GitHub Actions & GitLab CI workflow engineering
  • Least-privilege AWS IAM security governance
  • Automated test suites & container security scanning
03.

Monitor

Proactive Observability & FinOps

Detect anomalies before your users do. Combine high-resolution metrics, distributed tracing, and automated cost optimization alarms to maintain 99.98%+ uptime while keeping cloud spend lean.

Key Deliverables:
  • Prometheus, Grafana & AWS CloudWatch telemetry
  • Continuous FinOps cloud bill audits (-25% to -60%)
  • SLI / SLO dashboards & multi-tier alerting
  • Automated backup validation & disaster recovery drills
Proven Production Work

Featured Case Studies

Real systems engineered for high availability, sub-second latency, and ruthless cloud cost discipline.

View All Detailed Case Studies
Multi-Tenant Cloud

LearnStack

White-Label Cloud Learning Management System

AWS ECS with RDS Multi-AZ Architecture
99.98%Uptime SLA
<4 minDeploy Time
45+Tenants Supported
The Challenge

Organizations required a dedicated white-label learning platform featuring course authoring, timed quizzes, student certification, interactive sessions, and tenant administration. The challenge was building an architecture supporting isolated multi-tenant routing and high database availability without crippling operational overhead.

DevOps Solution

Architected and deployed a multi-tenant cloud platform using React, TypeScript, Fastify, and PostgreSQL with Prisma. Packaged services into optimized Docker containers running on AWS ECS Fargate across multiple availability zones. Provisioned Amazon RDS PostgreSQL Multi-AZ replication, Route 53 routing, and modular Terraform infrastructure-as-code with automated GitHub Actions CI/CD workflows.

Measurable Business Results

  • •Built and deployed a resilient multi-tenant platform with sub-second response times across all tenant domains
  • •Zero-downtime rolling container updates achieved via automated ECS task health drain cycles
  • •High-availability database tier with automated multi-AZ failover and continuous automated snapshots
  • •100% reproducible Infrastructure as Code managed through version-controlled Terraform modules
Infrastructure Stack:
ReactTypeScriptFastifyPostgreSQLPrismaDockerGitHub ActionsAWS ECSTerraform
Ultra-Lean Serverless

RateStack

High-Throughput Freelance Contract Engine

Running at $0.64/day infrastructure cost
$0.64Daily Cloud Cost
<180msEdge Latency
85K+Contracts Evaluated
The Challenge

An automated freelance contract indexing and market rate valuation platform needed to parse, evaluate, and index fluctuating developer market rates in near real-time. With seed funding constraints, the engineering team had a strict requirement: keep production infrastructure costs strictly under $1.00/day while remaining resilient to viral spikes.

DevOps Solution

Architected a radical serverless micro-architecture utilizing AWS Lambda (ARM64 Graviton2) triggered by API Gateway, backed by Amazon DynamoDB with on-demand capacity and S3 static web delivery through CloudFront edge nodes. Established fine-grained CloudWatch billing alarms, payload compression, and edge caching to eliminate idle compute overhead entirely.

Measurable Business Results

  • •Delivered a rock-solid production environment at exactly $0.64/day average cloud expenditure
  • •Sub-180ms global API response time achieved through edge caching and Graviton execution
  • •Over 85,000 contract calculations processed with zero server maintenance overhead
  • •Autonomous scaling from 0 to 10,000 concurrent requests without manual intervention
Infrastructure Stack:
AWS Lambda (Graviton2)Amazon DynamoDBCloudFront CDNAmazon S3AWS API GatewayServerless FrameworkCloudWatch Budgets
Mobile Cloud & Microservices

FitLyfe

Real-Time Mobile Calorie & Health Tracker

Flutter + AWS Asynchronous Architecture
78%Faster Sync
12,000+Peak Concurrent Users
99.95%API Availability
The Challenge

A fast-growing mobile nutrition and biometric tracking application built with Flutter was experiencing severe database connection spikes and synchronization bottlenecks during breakfast and dinner peak hours. Meal photo uploads clogged API threads, causing timeout errors and frustrated app store reviews.

DevOps Solution

De-coupled the heavy image analysis and calorie intake pipeline using an asynchronous event-driven architecture on AWS. Client uploads stream directly to signed S3 buckets, firing SQS message queues consumed by ECS worker tasks. Integrated AWS RDS Proxy to manage pooled PostgreSQL connections seamlessly alongside a high-speed Redis caching tier for instant nutritional item lookups.

Measurable Business Results

  • •78% reduction in image upload ingestion latency and meal logging latency
  • •Zero connection dropouts or RDS exhaustion under 12,000+ concurrent active mobile users
  • •Automated multi-platform CI/CD pipeline building, testing, and distributing Flutter builds
  • •99.95% API service availability sustained across international mealtime peak surges
Infrastructure Stack:
FlutterAWS ECSAmazon RDS ProxyAWS SQS / SNSAmazon S3 + CloudFrontRedis CachingDockerGitHub Actions CI/CD
Direct Video Call

Ready to eliminate bottlenecks and cut your AWS bills?

Book a 30-minute discovery consultation. We will audit your current bottlenecks, review your architecture, and provide clear, actionable next steps.