You will get application deployed on AWS with Docker and CI/CD

5.0

Let a pro handle the details

Buy Web Application Programming services from Pranav, priced and ready to go.
5.0

Let a pro handle the details

Buy Web Application Programming services from Pranav, priced and ready to go.

Project details

Deploy your application on AWS/Azure/GCP with a production-ready DevOps setup designed for scalability, security, and reliability.

I will help you deploy and configure your application using Docker, Kubernetes/ECS, Nginx, SSL, CI/CD pipelines, and cloud best practices. Whether you have a Next.js app, FastAPI backend, Node.js service, or full-stack platform, I can build a secure and automated deployment workflow.

This project is ideal for startups, SaaS platforms, MVPs, and businesses looking for reliable cloud infrastructure with modern DevOps practices.

What makes this project different:
• Production-ready AWS deployment
• Dockerized and scalable infrastructure
• Automated CI/CD pipelines using GitHub Actions
• Secure Nginx reverse proxy and SSL setup
• Monitoring and performance optimization
• Full-stack understanding from frontend to infrastructure
• Fast communication and reliable delivery

Technologies:
AWS • Docker • Kubernetes • ECS • Nginx • GitHub Actions • Linux • Next.js • React • FastAPI • Node.js • PostgreSQL • Prisma • Monitoring & Automation
Programming Languages
HTML & CSS, Python, TypeScript
Coding Expertise
Cross Browser & Device Compatibility, Performance Optimization, Security
What's included
Service Tiers Starter
$99
Standard
$199
Advanced
$299
Delivery Time 5 days 10 days 14 days
Number of Revisions
359
Number of Pages
41023
Design Customization
Content Upload
Responsive Design
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$30 - $60
Additional Revision
+$10
Additional Page (+ 1 Day)
+$10
5.0
1 review
100% Complete
1% Complete
(0)
1% Complete
(0)
1% Complete
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1% Complete
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JM

Jineesh M.
5.00
Jun 2, 2026
Full Stack Proforma Invoice System Great experience working with Pranav. He successfully set up Cal.com on our VPS and helped configure an invoice generator on Hostinger VPS. Professional, knowledgeable, responsive, and delivered the work as promised. Highly recommended. ⭐⭐⭐⭐⭐
Pranav K.Status: Offline

About Pranav

Pranav K.Status: Offline
DevOps Engineer | Azure | AWS Specialist | 2+YOE
5.0  (1 review)
Pune, India - 12:38 am local time
Hi, I'm Pranav a DevOps Engineer who builds and runs production cloud infrastructure for multi-tenant SaaS and AI platforms.

I currently run infrastructure for an enterprise AI workspace platform: Kubernetes clusters, Terraform-managed environments, GitHub Actions pipelines, and fully isolated per-customer deployments inside client-owned cloud tenants. Not tutorials — live systems with real customers and real uptime requirements.

What I actually do

Cloud Infrastructure (Azure primary, AWS secondary):
AKS/EKS, Container Registry, Key Vault, managed PostgreSQL, VNets/NSGs, DNS, load balancers, identity & RBAC (Entra ID, OIDC federation, workload identity), cross-tenant delegation via Azure Lighthouse.

Infrastructure as Code:
Terraform (modular, multi-environment, remote state), Bicep, ARM. I decompose monoliths into reusable modules so environments are reproducible instead of hand-built.

CI/CD & GitOps:
GitHub Actions pipelines end-to-end — build, test, image push, staged infra provisioning, zero-downtime deploys. ArgoCD for GitOps delivery. Composite actions and reusable workflows to kill pipeline duplication.

Observability & Reliability:
Prometheus, Grafana (alerting provisioned as code), Loki, OpenTelemetry Collector pipelines, Azure Monitor / Log Analytics / App Insights. Including zero-egress telemetry setups where customer data never leaves their tenant.

Containers & Kubernetes:
Docker, multi-stage builds, Helm, ingress, cert-manager + Let's Encrypt TLS, secrets management, resource tuning, self-hosted services on K8s.

AI/Data Platform Infrastructure:
Deploying and operating LLM/agentic applications — LangGraph services, FastAPI backends, Prefect orchestration, data ingest pipelines in Python. I know how AI workloads actually break in production, not just how to docker run them.

Full-stack when it helps
React, Next.js, Tailwind, Node/Express, FastAPI, PostgreSQL, MongoDB, Prisma. Useful because I can debug across the whole stack instead of throwing it back over the wall.

Why clients keep me around

✅ Enterprise-grade, not demo-grade I've delivered isolated single-tenant deployments for enterprise clients with strict data-residency and zero-egress requirements.

✅ I document what I build every environment I stand up ships with a runbook. You won't be locked to me.

✅ Security-first defaults least-privilege IAM/RBAC, OIDC over long-lived secrets, secrets in vaults, network isolation by default.

✅ I scope before I touch prod I confirm the plan first, then execute. No surprise changes to live systems.

What I can help you with

Deploy and scale apps on Kubernetes (AKS / EKS)
Migrate from manual/ClickOps infra to Terraform
Build CI/CD pipelines with GitHub Actions
Set up monitoring, logging, and alerting that actually pages the right person
Multi-tenant / single-tenant SaaS deployment architecture
Containerize and productionize AI/ML and LLM applications
Cut cloud cost and fix reliability problems in existing setups
Secure production environments (identity, secrets, network)

Tell me what's breaking or what you're trying to ship — happy to give an honest take before you hire anyone, including me.

Keywords: DevOps Engineer, Azure DevOps, AWS DevOps, Kubernetes, AKS, EKS, Terraform, Bicep, Infrastructure as Code, GitHub Actions, CI/CD Pipelines, ArgoCD, GitOps, Docker, Helm, Prometheus, Grafana, Loki, OpenTelemetry, Observability, SRE, Site Reliability, Cloud Architecture, Multi-Tenant SaaS, Azure Key Vault, Entra ID, OIDC, RBAC, PostgreSQL, Linux, Nginx, Python, FastAPI, Node.js, React, Next.js, LangGraph, Prefect, MLOps, LLMOps, AI Infrastructure, Zero Downtime Deployment, Cost Optimization

Steps for completing your project

After purchasing the project, send requirements so Pranav can start the project.

Delivery time starts when Pranav receives requirements from you.

Pranav works on your project following the steps below.

Revisions may occur after the delivery date.

Project Review & Architecture Planning

I will review your application, infrastructure, and deployment requirements to create the best production-ready deployment strategy.

Deployment & Optimization

I will deploy your application using Docker, configure Nginx, SSL, CI/CD, monitoring, and optimize the setup for performance, scalability, and reliability.

Review the work, release payment, and leave feedback to Pranav.