Cloud & Docker Infrastructure. AWS & Linux Deployments. LocalStack Parity. Automated CI/CD Pipelines. - Aleksandar Kuzmanovic offers many high-quality services. Deploying modern web and AI applications into production without disciplined containerization and infrastructure-as-code leads to fragile "works on my machine" failures, security vulnerabilities, manual deployment errors, and runaway cloud hosting bills. Key stats: 100% Dev-to-prod parity, <2 min Deploy duration, Zero-Trust Security posture, Fail-Closed Network topology. Technologies: Docker & Docker Compose, AWS (Bedrock, ECS, S3, DynamoDB), LocalStack, Linux (Ubuntu/Debian), Nginx, GitHub Actions, Bash Shell, systemd, PostgreSQL, Redis. Contact: aleksandarkuzmanovic02@gmail.com.
Cloud & Docker Infrastructure.
AWS & Linux Deployments. LocalStack Parity. Automated CI/CD Pipelines.
Deploying modern web and AI applications into production without disciplined containerization and infrastructure-as-code leads to fragile "works on my machine" failures, security vulnerabilities, manual deployment errors, and runaway cloud hosting bills.
I architect and build robust, automated cloud and container infrastructure on AWS and dedicated Linux environments. By containerizing your applications with Docker and Docker Compose, achieving 100% local-to-production parity using LocalStack, and setting up automated GitHub Actions CI/CD pipelines, I ensure your applications deploy smoothly in under two minutes with zero downtime.
As engineered across our enterprise AI and distributed platforms, this cloud architecture integrates AWS Bedrock foundation inference, persistent Amazon DynamoDB semantic stores, S3 snapshot backup vaults, Nginx reverse proxying with automated Let's Encrypt SSL, and fail-closed IAM security policies.
Whether you need to migrate from complex PaaS platforms to cost-effective dedicated Linux VPS servers, configure high-security AWS VPC architectures, or set up automated staging and production pipelines, I deliver resilient systems engineering.
Deploying modern web and AI applications into production without disciplined containerization and infrastructure-as-code leads to fragile "works on my machine" failures, security vulnerabilities, manual deployment errors, and runaway cloud hosting bills.
Services & deliverables.
End-to-end.
Multi-Stage Production Dockerfiles & Compose
Lean, secure container definitions with minimal image sizes, non-root users, and multi-stage build caching.
Turnkey GitHub Actions CI/CD Pipeline
Automated test execution, container image registry pushes, and deployment scripts with rollback triggers.
Hardened Linux Server Configuration
Production server setup with UFW firewalls, fail2ban brute-force protection, Nginx reverse proxying, and SSL.
AWS Cloud Topology & LocalStack Suite
Infrastructure-as-code configuration connecting AWS Bedrock, DynamoDB, and S3 with local dev parity.
Disaster Recovery Runbook & Backup Scripts
Automated daily database dumps with S3 replication and tested one-command disaster restoration procedures.
Why choose my cloud & DevOps infrastructure?
Docker & LocalStack Dev Parity
Developers run the entire cloud environment locally via Docker Compose and LocalStack, mocking AWS Bedrock, DynamoDB, and S3 without incurring cloud costs or experiencing environment drift.
Automated GitHub Actions CI/CD
Turnkey continuous integration and delivery pipelines: automated linting, test suites, multi-stage Docker image builds, and zero-downtime rolling deployments on merge.
Linux Server Hardening & Nginx Proxying
Production Linux security: UFW firewall configuration, SSH key authentication, non-root systemd daemon services, Nginx reverse proxies with Brotli/Gzip compression, and automated SSL.
AWS Cloud Architecture & Serverless
Scalable cloud topology: AWS ECS, Lambda, Bedrock, DynamoDB, and Amazon S3 configured with least-privilege IAM roles and isolated VPC network security groups.
Cost-Reduction Architecture Audits
Migrating over-provisioned cloud services to right-sized VPS infrastructure, optimizing container memory footprints, and reducing monthly infrastructure spend by up to 70%.
Automated Backup & Disaster Recovery
Scheduled automated database snapshots, S3 bucket versioning, and documented one-command disaster recovery runbooks.
My process.
Simple. Transparent.
Infrastructure & Architecture Audit
We review your tech stack, deployment bottlenecks, cloud expenditures, and availability targets.
Containerization & Local Dev Parity
Authoring multi-stage Dockerfiles and LocalStack Docker Compose environments for local development.
Production Server & Cloud Setup
Provisioning AWS resources or Linux VPS hosts, configuring firewalls, Nginx proxies, and SSL certificates.
Automated CI/CD Pipeline Construction
Writing GitHub Actions workflows to automate testing, building, and rolling zero-downtime deployments.
Disaster Recovery Drill & Documentation
Simulating failure recovery, verifying automated backups, and delivering complete maintenance documentation.
Technology Stack
Infrastructure discipline in software engineering.
High-performance applications cannot thrive on neglected, fragile infrastructure. When deployment involves manual SSH sessions, manual dependency updates, or environment configuration discrepancies, production outages are inevitable.
On our DataPulse and AI Code Reviewer systems, cloud reliability is anchored in LocalStack and Docker Compose. By running identical containerized service topologies locally — mocking AWS Bedrock, DynamoDB, S3, and Redis — engineers test complex distributed workflows locally without internet connectivity or unexpected AWS bills.
In production, automated CI/CD pipelines build multi-stage Docker images that drop build-time dependencies, reducing container footprints to under 100MB and eliminating common attack surfaces. Deployments execute via health-checked rolling restarts with zero user downtime.
Disciplined infrastructure engineering turns deployments from high-stress operational gambles into routine, boring, two-minute non-events.
Common questions.
Clear answers.
- Why use Docker for our development and production deployments?
- Docker packages your application code, runtime, system libraries, and dependencies into an immutable container image. This completely eliminates the "it worked on my laptop" problem, accelerates developer onboarding, and makes production rollbacks instantaneous.
- What is LocalStack and how does it save cloud costs?
- LocalStack emulates AWS cloud services (S3, DynamoDB, Lambda, SQS) entirely inside a local Docker container. Your engineering team can develop and test cloud-native features offline with zero AWS API bills and zero risk of altering production data.
- Should our business host on AWS or dedicated Linux servers (Hetzner, DigitalOcean)?
- For complex enterprise workloads requiring specialized compliance, global CDNs, or managed AI models, AWS is unmatched. For cost-conscious scaling startups, a hardened dedicated Linux VPS running Docker provides 10x the raw CPU and RAM of an AWS instance at a fraction of the monthly cost. I evaluate your requirements and recommend the optimal balance.
- How do you ensure zero-downtime deployments?
- By using health-checked container rolling updates with Nginx reverse proxying or blue-green deployment strategies. Incoming web traffic is only routed to the newly spun container once health-check endpoints confirm database connections and migrations have succeeded.
Ready to start?
Send a message and I'll respond within 24 hours with a clear plan for your project.