Infra that scales without drama
Cloud & DevOps
Infrastructure that scales without drama. We migrate, automate, and harden so your team ships faster.
What's inside
2 servicesWhat we do
What’s included
Technology
Tools we work with
- GitHub Actions
- GitLab CI
- Docker
- Kubernetes
- Terraform
- AWS
- OpenTelemetry
- Prometheus
- Grafana
- Cloud monitoring
- Log aggregation
Why Bitfumes
Built by engineers who ship
Senior team, no hand-offs
The engineers on your first call are the ones who build your product.
10+ years of engineering leadership
Led by Sarthak Shrivastava, Docker Captain, AWS Certified Solutions Architect, AWS Certified Developer.
We teach this for a living
156K+ developers learn from our founder on YouTube, and 100K+ on Udemy.
Production, not prototypes
Tests, monitoring and handover are part of every build, not extras.
How to start
From first conversation to production
- 1
Talk to us
Tell us the problem. We come back with a straight view on whether it is worth building.
Get in touch - 2
Build
A senior team embeds with yours and ships in short cycles, with a demo every week.
- 3
Run and improve
We hand over cleanly, or stay on to monitor, support and extend what we built.
FAQs
Common questions
What is CI/CD?
Continuous integration and continuous delivery: every code change is automatically tested and built, and can be deployed through an automated, repeatable process.
Which cloud do you work with?
We work with the major cloud providers and fit the pipeline to the platform you already use.
Do we need to change how we write code?
Mostly no. The biggest change is usually adding the tests the pipeline runs, which we help with.
What is observability?
The ability to understand what a system is doing from the data it emits, such as logs, metrics and traces, so you can find the cause of a problem without guessing.
Will it slow our systems down?
Instrumentation adds very little overhead when set up properly, and we sample where volume would make it costly.
Do we need new tools?
Not always. We start with what you already have and add tools only where there is a gap.
Insights
Related reading
- EngineeringClaude Auto-fix: stop babysitting your own pull requests.CI goes red while you're in a meeting, and by the time you're back the failure has gone cold. Auto-fix watches the build for you and pushes a fix before you've even opened the tab.Read
- EngineeringAI in production: the checklist most teams skip.Getting a demo working is the easy 20%. Here's what separates a prototype from something you can trust running unattended in front of customers.Read
- EngineeringBatch your AI calls, halve the bill.A for loop calling the model once per ticket pays full price and competes with live traffic for the same rate limit. The Batch API processes up to 100,000 requests at once, at half the cost — for exactly the work that was never going to need an answer in three seconds.Read
Next step
Want this built into your business, not just explained?
Tell us the problem and we'll come back within one business day with a straight view on whether AI is worth it for you, and what it would take to build.
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