Cloud & DevOps
Infrastructure that scales without becoming someone's full-time job.
Cloud and DevOps services cover how software is hosted, deployed and watched once it is live: cloud architecture, migration, CI/CD pipelines, observability and API monitoring. Asauvia sets these up on AWS, Azure or GCP for startups and enterprises that want releases to be routine, problems to be noticed by alerts rather than customers, and infrastructure costs they can explain.
- What it is
- Cloud and DevOps services
- Engagement models
- Fixed scope, dedicated team, or time and materials
- Typical stack
- AWS, Microsoft Azure, Google Cloud, Docker, CI/CD pipelines, Logging, metrics & alerting
- Delivered from
- India, working India Standard Time for international teams
When do teams need
Cloud & DevOps?
- Deploys are manual, rare and stressful, so fixes wait for a release window.
- Customers notice outages or slow endpoints before the team does.
- The cloud bill keeps growing and nobody can say which service is driving it.
- Infrastructure was set up by hand and only one person knows how it works.
What Asauvia delivers
for Cloud & DevOps.
Cloud architecture, CI/CD, and operational tooling across AWS, Azure, and GCP, built so deploys are routine rather than risky.
- Cloud architecture and migration planning for AWS, Azure, or GCP
- CI/CD pipelines with automated testing gates
- Observability: logging, metrics, and alerting from day one
- API monitoring: health checks on critical endpoints, latency analysis and automated alerts
- Infrastructure as code, so environments can be reviewed and rebuilt
Where Cloud & DevOps
makes a difference.
Moving to the cloud or between clouds
A staged migration plan for applications and data, with rollback at each step instead of one risky cutover.
Automating releases
Pipelines that build, test and deploy on every merge, so shipping a fix is a routine step rather than an event.
Monitoring critical APIs
Health checks on the endpoints your product and partners depend on, with automated alerts and latency analysis.
Making production visible
Structured logs, metrics and dashboards that let the team find the cause of a problem instead of guessing.
Bringing cloud costs under control
Reviewing what runs, where, and why, then right-sizing resources and tagging spend so it can be traced.
How the project
moves, stage by stage.
- 01
Discover
Scope the real problem and constraints on a short call.
- 02
Design
Architecture and plan, reviewed with you before anything is built.
- 03
Build
Iterative delivery against a shared backlog, not a black box.
- 04
Validate
Testing and review gates before anything ships.
- 05
Launch
Deploy with monitoring and rollback in place from day one.
- 06
Improve
Measure against the original goal and keep iterating.
Cloud & DevOps:
what buyers ask.
Which cloud provider should we use?
Usually the one your team and existing systems already fit best. AWS, Azure and GCP all cover typical business workloads; the deciding factors tend to be existing contracts, services you depend on, and your team's experience. We recommend one with the trade-offs written down.
Can you migrate without downtime for our users?
We plan migrations to keep disruption as small as possible: moving in stages, running old and new side by side where practical, and keeping a rollback path at every step. Whether a specific cutover can happen with no interruption at all depends on the system, and we say so during planning.
What does your API monitoring cover?
Continuous health checks on the endpoints that matter most, response-time tracking to spot slowdowns early, and automated alerts routed to the people who can act on them.
Do you manage infrastructure after it is set up?
We can, as an ongoing engagement, or we can hand it over to your team. Infrastructure is written as code and documented, so either path works without depending on one person's memory.
How do you make deploys safer?
Every change goes through automated tests and code review before it can deploy, and monitoring and rollback are in place from the first launch.
Often paired
with Cloud & DevOps.
Custom Software Development
Software shaped around how your business actually works.
Data Engineering & Integration
Make your systems' data usable in one place.
Product Engineering
Get a product in front of users, then keep improving it.
Let's solve
something together.
Tell us what you're building, improving, or automating. We'll come back with a plan, not a pitch.
NDA before any scoping conversation