Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert
- $10k+
- Earned
- 13x
- Hired
- 4.6
- Rating
- 44
- Followers
Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert
I’m Usama Idrees, IT & AI Specialist based in Islamabad, Pakistan. Thrilled to be part of this amazing community and to connect with talented Professionals from around the world! 🚀
A little about me:
What I do: I lead tech and product strategy, focusing on building innovative solutions that empower businesses and individuals.
Passion: Creativity meets technology — I love turning ideas into impactful products.
Looking for: Collaborations with designers, developers, and creative minds who want to build something extraordinary.
Excited to learn, share, and grow together here. If you’re working on something cool or looking for a tech partner, let’s connect! 💡
What’s your current creative project? Drop it below — I’d love to check it out. 👇
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Full-Stack Technology, Cloud & Cybersecurity Solutions
- 5.0
- Rating
- 6
- Followers
Full-Stack Technology, Cloud & Cybersecurity Solutions
DevOps | DevSecOps | MLOps | Multi-Cloud Infrastructure
New to Contra
DevOps | DevSecOps | MLOps | Multi-Cloud Infrastructure
Case Study: Versioned Deployment & Rollback Pipeline (Without Kubernetes)
The Problem:
Many teams struggle with deployments that aren't traceable or reversible. Using latest tags creates ambiguity, you never know exactly which image is running, and rollbacks often mean rebuilding from scratch. This is costly and risky.
The Solution:
I designed a CI/CD pipeline that brings versioning, traceability, and fast rollback to a non-Kubernetes environment, proving that strong DevOps practices don't require heavy orchestration.
What I Built:
* Automated Image Pipeline
Application images are built and pushed to GitHub Container Registry (GHCR) automatically on every release.
* Structured Release Tags
Instead of latest, I used environment and release-based tagging:
release/dev-26.7
release/uat-26.7
Where 26 = year, 7 = month. Weekly versioning can be layered in when needed.
* Immutable Image Identification
Every deployment is tied to a SHA-256 image digest, an immutable reference to the exact image running in that environment. No more guessing what's deployed.
* Fast, Reliable Rollbacks
Since each release maps to a specific digest, rollback is instant, no rebuild required. Just point the deployment back to the previously verified image:
text
The Result:
A lightweight, production-grade deployment system with:
✅ Automated CI/CD
✅ Full deployment traceability
✅ Immutable image references
✅ Predictable, fast rollbacks
✅ No unnecessary orchestration overhead
Key Takeaway:
Reliable deployments aren't exclusive to Kubernetes. With the right container lifecycle design, even simple infrastructure can have versioning, traceability, and rollback, without the complexity.
Need a similar pipeline for your team?
I build secure, traceable CI/CD systems for teams that want reliability without over-engineering. Let's talk.
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Just finished diving into Terraform and hands-on building infrastructure as code. Learned a lot along the way, including:
Setting up resources and variables
Using outputs to see what’s happening in my infra
Playing with interpolation, for_each, and conditional logic
Debugging and figuring out why things break
I’ve been building small projects to get comfortable with writing clean, reusable Terraform code. Feels good to see everything come together and actually work in AWS.
Excited to keep leveling up and move into more advanced Terraform stuff like modules, remote backends, and production ready infrastructure.
Github Link:https://github.com/abdur-rehman-tech/terraform-complete
#Terraform (https://www.linkedin.com/search/results/all/?keywords=%23terraform&origin=HASH_TAG_FROM_FEED) #DevOps (https://www.linkedin.com/search/results/all/?keywords=%23devops&origin=HASH_TAG_FROM_FEED) #InfrastructureAsCode (https://www.linkedin.com/search/results/all/?keywords=%23infrastructureascode&origin=HASH_TAG_FROM_FEED) #AWS (https://www.linkedin.com/search/results/all/?keywords=%23aws&origin=HASH_TAG_FROM_FEED) #Cloud (https://www.linkedin.com/search/results/all/?keywords=%23cloud&origin=HASH_TAG_FROM_FEED) #LearningByDoing (https://www.linkedin.com/search/results/all/?keywords=%23learningbydoing&origin=HASH_TAG_FROM_FEED)
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Just wrapped up testing an automated VM monitoring setup using n8n on my local machine.
It SSHs into all 5 local servers every morning at 9 AM PKT and sends a color coded health report (CPU, RAM, Disk, Uptime, Services) to the team via email.
Everything's been verified against live terminal output, Data is accurate.
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Taints in Kubernetes (K8s)
Taints in Kubernetes are used to control which pods can be scheduled on specific nodes. They act as restrictions placed on nodes, preventing pods from being scheduled unless the pods have matching tolerations. This helps in reserving nodes for specific workloads, improving resource management, and maintaining cluster stability. Taints are especially useful for dedicating nodes to high-priority applications or isolating specialized hardware resources.
Git:https://github.com/abdur-rehman-tech/taint-tolerations-k8s
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SaaS MVP Developer for Startups | MERN & Next.js
SaaS MVP Developer for Startups | MERN & Next.js
DevOops, Backend & SaaS Solutions
DevOops, Backend & SaaS Solutions
Software Engineer
Software Engineer
Eugene Photography – Portfolio Photography Website
Developed a modern and visually engaging photography portfolio website for Eugene using Next.js, focused on showcasing photography work with a clean, elegant, and responsive design. The website was built to deliver a smooth browsing experience while highlighting high-quality visual content and professional branding.
Key highlights of the project include:
• Responsive and premium portfolio design
• Optimized image loading and performance
• Modern UI/UX for photography presentation
• SEO-friendly Next.js architecture
• Fast and scalable deployment on Vercel
• Smooth navigation and mobile-friendly experience
The project was successfully deployed on Vercel with performance optimization and scalable frontend architecture.
Live URL: https://eugene-photography.vercel.app
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NaturalFlow.ai (https://www.naturalflow.ai) – AI Product Website Development
Developed a modern and responsive company product website for NaturalFlow.ai (https://www.naturalflow.ai) using Next.js with a strong focus on performance, scalability, SEO optimization, and premium user experience. The website was designed to effectively showcase the company’s AI-powered product offerings with a clean and professional interface.
Key highlights of the project include:
• Responsive and modern UI/UX design
• High-performance frontend built with Next.js
• SEO-friendly architecture and optimization
• Fast deployment and hosting on Vercel
• Optimized loading speed and smooth navigation
• Scalable and maintainable codebase
The project was successfully deployed on Vercel with seamless production integration and performance optimization.
Live URL: https://www.naturalflow.ai
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AI Software Engineer | Building Production AI SaaS |AI Agent
AI Software Engineer | Building Production AI SaaS |AI Agent
Introducing Clarioter!
Customers message you on WhatsApp, Instagram, Facebook, and your website.
You reply to maybe one of those in real time.
Clarioter is one AI that answers all of them
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Most AI agents start with a prompt.
What if they started with understanding instead?
A browser session already contains how work actually gets done:
the pages opened
the decisions made
the information copied
the context behind every action
Instead of asking people to document workflows or build automations first, imagine software that observes work, understands the business process, identifies gaps, and generates living documentation automatically.
Automation comes later.
Understanding comes first.
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Full Stack AI Developer, Worked at @Sony | Web, iOS, Android
- 21
- Followers
Full Stack AI Developer, Worked at @Sony | Web, iOS, Android
