Modernize applications and infrastructure for scale, security and cost control.
We design, migrate and run cloud platforms and applications — using automation and modern engineering practices so your systems scale with demand and are easier to change.
Cloud modernization
NaviCS- Applications & dataExisting systems
- Cloud platformYour chosen provider
- AutomationContainers, CI/CD, monitoring
- Scalable servicesSecure and cost-aware
The challenge
Business problems we solve
Where organizations typically get stuck before engaging NaviCS for Cloud Engineering.
01
Legacy systems slowing change
Aging applications and servers make every new feature slow and risky to release.
02
Unpredictable cloud costs
Cloud bills grow without clear ownership or visibility into what drives them.
03
Manual, error-prone releases
Deployments depend on individuals and manual steps rather than repeatable pipelines.
04
Security and resilience gaps
Inconsistent configuration and backups leave systems exposed to outages and incidents.
What we do
Cloud Engineering capabilities
Scope we deliver end to end, or alongside your own team.
Cloud architecture
Landing zones and reference architectures aligned with security and compliance needs.
Migration
Assess, plan and move workloads with minimal disruption.
Application modernization
Re-platform or refactor applications into maintainable, scalable services.
Automated environments & DevOps
Containerized environments and CI/CD pipelines for consistent, frequent releases.
Security and reliability
Identity, network controls, backups, monitoring and incident readiness.
Cost optimization
Right-sizing, tagging, budgets and reporting so spend matches value.
Use cases
Where it makes a difference
Concrete business applications we design and deliver.
Data center exit
Move on-premise workloads to cloud in planned waves.
Platform for AI workloads
Secure, scalable environments for data platforms and AI services.
Customer-facing app modernization
Improve performance and release speed of web and mobile back ends.
Cloud cost review
Identify waste and put ongoing cost controls in place.
How we deliver
From Business Challenge to Business Outcome
How NaviCS takes Cloud Engineering from business challenge to business outcome.
Discover
Understand the business problem, the people involved, the data and systems in place, and what success looks like.
Design
Define the solution, architecture, data flows and guardrails — and agree on how results will be measured.
Build
Deliver in short, reviewable increments so stakeholders see working software early and often.
Integrate
Connect to your CRM, data platforms, APIs and business applications so the solution fits existing workflows.
Deploy
Release to production with monitoring, access controls, documentation and team enablement.
Improve
Review usage and outcomes, tune models and workflows, and extend what works to new teams.
Technology
Technologies we work with
We design around the platforms you already use wherever possible.
- Docker containers
- CI/CD
- Python
- SQL / PostgreSQL
Outcomes
What you can expect
The business results each engagement is designed around. Specific targets are agreed with you during discovery.
- Applications that scale with demand
- Repeatable, automated releases
- Clear visibility and control of cloud spend
- Stronger security, backup and recovery posture
Case studies
Case study — coming soon
We are preparing published Cloud Engineering case studies. Ask us for a walkthrough of relevant work during your demo.
FAQ
Cloud Engineering questions, answered
Which cloud providers do you work with?
We design around the provider and agreements you already have, and confirm platform choices with you during discovery.
Do we need to move everything at once?
No. We plan migration in waves, starting with lower-risk workloads, and keep systems running throughout.
Can you support hybrid environments?
Yes. Many organizations keep some systems on-premise; we design secure connectivity and operations across both.
Do you provide managed operations after migration?
We can monitor and operate environments after go-live or hand over to your team with runbooks and training.
Related services
Often combined with
Data Engineering
Reliable pipelines, lakehouses and warehouses that analytics and AI can depend on.
Learn moreAI Engineering
Engineer AI agents, tools and workflows that run reliably in production.
Learn moreEnterprise AI
Move AI from pilots to dependable capabilities connected to your business systems.
Learn more