Backend and cloud systems that stay calm on your busiest day
Systems that scale up for a spike and back down after it, without waking anyone.
Use case · A consumer brand running a big online sale
Launch day, before and after
A composite of the projects we take on: the problem, what we built, and what changed. Pick an act to jump the film to it.
Who it is for
Is this you?
- Products expecting a launch, sale or seasonal spike
- Teams outgrowing a single server
- Companies with cloud bills nobody can explain
What you get
- API design and implementation
- Database design, indexing and migrations
- Cloud setup written as code (Terraform)
- Autoscaling, caching and queues
- Monitoring, alerts and logs in one place
- Backups and a tested recovery plan
Built with
- Node.js
- Python
- Go
- PostgreSQL
- Redis
- AWS
- Google Cloud
- Terraform
What we cover
Backend & cloud, in detail
Pick one part or the whole set. We scope only what your problem needs.
APIs and services
- REST and GraphQL APIs
- Real-time features over WebSockets
- Queues, jobs and scheduled work
- Microservices where they pay off
Languages
- Node.js with NestJS, Express or Fastify
- Python with Django or FastAPI
- Java with Spring Boot and Kafka
- .NET with ASP.NET Core
- PHP with Laravel
- Go for high-throughput services
Databases
- PostgreSQL and MySQL
- MongoDB and Firestore
- Redis for caching and sessions
- Elasticsearch for search
- Time-series data
Cloud platforms
- AWS: EC2, Lambda, RDS, S3, CloudFront
- Google Cloud: Cloud Run, Cloud SQL, Pub/Sub
- Microsoft Azure
- Firebase for fast starts
Integrations
- Payments and invoicing
- Email, SMS and WhatsApp
- Sign-in with OAuth, SSO and JWT
- Analytics and third-party APIs
How it runs
From first call to backend & cloud in production
You see working software early and can change direction while it is still cheap.
- 01
Review what runs today
We look at your current setup, traffic, costs and incidents, and write down the risks. - 02
Design the target
We propose an architecture sized for your real traffic, not the biggest diagram. - 03
Move in safe steps
We migrate piece by piece with load tests at each step, so there is no big-bang switch. - 04
Hand over and run
You get runbooks, dashboards and alerts. We can stay on to run it, or train your team.
Questions
Backend & cloud: what people ask
Which cloud do you recommend?
The one that fits your team best. We work on AWS, Google Cloud and Azure, and we keep the setup portable where it is practical to do so.
Can you reduce our cloud bill?
Often. We start with a cost review that shows where the money goes, then fix the biggest items first.
Will there be downtime during migration?
We plan migrations to avoid it, using parallel runs and staged cut-overs. If a short window is unavoidable, we agree it with you in advance.
Planning backend & cloud work?
Tell us where things get stuck today. We will reply with a plan, not a pitch.