Cloud & DevOps
Reliable cloud infrastructure, CI/CD pipelines and monitoring so releases are boring and uptime is high.
What We Do
The best infrastructure is the kind you never think about. We set up cloud environments, deployment pipelines and monitoring so every release is automatic, every outage is caught before customers notice, and every rupee of cloud spend is justified.
Whether you are moving off a single server, cutting an oversized AWS bill or preparing for a launch spike, we design for the load you expect and the failures you do not.
Business Problems We Solve
- Releases that need a late night and a prayer
- Outages noticed by customers before the team
- Cloud bills growing with no clear reason
- No backups, monitoring or recovery plan
Capabilities & features
- AWS, Azure & Google Cloud setup
- CI/CD pipelines & automated deployments
- Monitoring, backups & disaster recovery
- Cost optimisation & security hardening
Technology stack
How We Deliver
We map your goals, users and constraints into a clear scope.
Wireframes and designs you approve before we build.
Short sprints with working software you can see every week.
We launch on schedule and stay with you after go-live.
Relevant Case Studies
View all case studies
Next.jsWebSocketsAWSServices: SaaS Development, AI Development & AutomationA business messaging SaaS for campaigns, automations and customer conversations across channels, built to scale.Campaign automationbliqmessaging.comLive
ReactNode.jsAPIsService: Cloud & DevOpsA forex trading platform website with live market data, account onboarding and a clear path from visitor to trader.Live market dataecotradefx.comLiveFrequently Asked Questions
Can you reduce our cloud bill?
In most audits we find 20 to 40% of spend on idle or oversized resources. We right-size, reserve where it makes sense and set up alerts so costs stay under control.
Do you provide ongoing management?
Yes. Monthly DevOps retainers cover monitoring, patching, backups and on-call response.
Which cloud should we use?
AWS is our default for flexibility and India regions; Azure suits Microsoft-heavy organisations; Google Cloud is strong for data and AI workloads. We recommend based on your stack and team.
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