Technology
Cloud, Data & DevOps development
The infrastructure that keeps products fast and observable: AWS hosting, Docker containers, automated pipelines, databases, caching and search.
In plain words
What is Cloud, Data & DevOps?
Think of a factory production line. Every change to your software goes through the same automatic checks, gets packed the same way, and is delivered to the servers without anyone doing it by hand.
Cloud and DevOps is the behind-the-scenes setup that keeps your product online, fast and safe, and makes updates routine instead of risky.
What this means for your business
- Updates go live without downtime or late-night manual work
- If something goes wrong, the previous version can be restored quickly
- The system stays fast as more people use it, thanks to caching and the right servers
How it works
How a change goes live
Each box is one part of the system. The arrows show how information moves between them.
What happens when we release an update
- 1
A developer finishes a change and submits it for review.
- 2
Automatic tests run; if anything fails, the change is stopped before users ever see it.
- 3
The approved change is packaged with Docker and deployed to staging, then to production.
- 4
Monitoring watches errors and speed, and the previous version can be restored if needed.
For technical readers
Why we use Cloud, Data & DevOps
The plumbing that keeps products fast and observable, from containers and pipelines to caching and search.
Repeatable infrastructure and observability turn deployments into routine events instead of risky milestones.
The tools, explained
- AWS
- Cloud hosting, storage, databases and networking
- Docker
- Containers that run the same everywhere
- GitHub Actions
- Automated testing and deployment pipelines
- PostgreSQL
- Relational database for complex data
- MySQL
- Relational database for web applications
- Redis
- In-memory caching and queues
- Elasticsearch
- Fast full-text search and filtering
What we build with Cloud, Data & DevOps
- 01
Containerised production environments
Docker-based setups on AWS that behave the same on staging and production.
- 02
Automated build and release pipelines
GitHub Actions that test, build and deploy every change with a clear rollback path.
- 03
Search, caching and background processing
Redis caching, Elasticsearch search and job queues that keep pages and APIs quick.
Is Cloud, Data & DevOps right for your product?
We recommend a stack in writing during discovery, with the trade-offs stated. These are the signals we look for.
A good fit when
- Deployments are manual, slow or risky today
- Your app slows down as traffic or data grows
- You need staging, backups and monitoring before a big launch
Probably not the best choice for
- Very small static sites, where simple managed hosting is enough
- Projects with no one to own infrastructure after handover, unless you take a support plan
Working with us
How a Cloud, Data & DevOps project runs
The same four stages on every project, so you always know what happens next.
- 1
Discover
We listen to what you need and turn it into a clear written plan with a price.
- 2
Design & Architect
You see how the screens will look, and we choose and explain the right technology.
- 3
Build & Ship
We build in two-week rounds and show you working progress after each one.
- 4
Scale & Support
After launch we keep it fast, safe and up to date as your business grows.
Cloud, Data & DevOps in our work
Case studies where this stack is part of what we delivered.
Services that use this stack
Where Cloud, Data & DevOps usually shows up in our engagements.
Cloud & DevOps
Automated pipelines, containerised environments and observability so releases stop being an event.
Explore Cloud & DevOpsMaintenance & Support
Long-term care for live products: SLAs, security patching, performance work and feature iteration.
Explore Maintenance & SupportAPI & Backend Engineering
Secure, documented and scalable APIs in Node.js, Laravel, Django and FastAPI that other teams enjoy using.
Explore API & Backend Engineering
Words you might hear
Simple meanings for the technical terms that come up in our conversations.
- Cloud
- Renting servers from providers like AWS instead of owning them.
- CI/CD
- Automatic testing and releasing of every change.
- Container
- A sealed package that holds the app and everything it needs.
- Caching
- Keeping popular answers ready so pages load faster.
- Staging
- A private copy of the live site for testing changes first.
Cloud, Data & DevOps: frequently asked questions
Can you move our application to AWS?
Yes. We plan the target setup, containerise the application, migrate data with a tested rollback plan and switch traffic during a low-risk window.
What does a CI/CD pipeline give us?
Every change is tested and deployed the same way automatically, so releases become routine, mistakes are caught before production and rollbacks take minutes.
Do you monitor applications after launch?
Yes, through our maintenance and support plans: uptime and error monitoring, security patching, backups and performance tuning.
Compare before you commit
Neutral guides from the Altron blog.
Planning a Cloud, Data & DevOps project?
Tell us what you are building and who will maintain it. We will send a written stack recommendation with the trade-offs explained.