05 / Ship safely, deploy often

Cloud, DevOps & Security

Cloud deployment on AWS, GCP, and Azure with Docker, Kubernetes, and CI/CD pipelines. I harden infrastructure with secure defaults, monitoring, and automated delivery so releases are repeatable and systems stay resilient.

Mukhlis Software Solution cloud and DevOps engineering workspace

engagement profile

Delivery

End to end

Focus

Production ready

Request a proposal

01 / context

Cloud, DevOps & Security is designed for teams that need dependable software around cloud deployment on aws, gcp, and azure with docker, kubernetes, and ci/cd pipelines. i harden infrastructure with secure defaults, monitoring, and automated delivery so releases are repeatable and systems stay resilient. The service starts with the business context, existing systems, users, and operational constraints so the solution is practical from its first release.

02 / approach

Delivery is structured around a clear architecture, a maintainable interface, and measurable release milestones. The work can begin with aws, gcp & azure deployments, then expand into the supporting workflows, integrations, security controls, and operational tooling needed for a production-ready system.

03 / outcome

The goal is a durable product foundation: a solution that is easier to use, safer to operate, and ready for the next stage of growth. Every engagement is shaped to leave the team with clear documentation, a reliable delivery path, and software that can be supported after launch.

what's included

  • AWS, GCP & Azure deployments
  • Docker & Kubernetes orchestration
  • GitHub Actions & CI/CD pipelines
  • Nginx and reverse proxy setup
  • Security hardening & auditing
  • Monitoring and logging

delivery process

01

Discover

I dig into the problem, users, constraints, and existing systems before writing a line of code.

02

Design

Clear architecture, data models, and interfaces are planned so the product is consistent from day one.

03

Build

Small, reviewable increments with tests, security checks, and fast feedback loops.

04

Deploy

Automated pipelines ship to staging and production with rollbacks, monitoring, and backups.

05

Support

Post-launch maintenance, performance tuning, and iterations keep systems healthy and current.

open to new projects

Have a platform, product, or payment system in mind?

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