Cloud-Native Architecture
Reference architectures for AWS, GCP and Azure covering compute, networking, data and identity, sized for your traffic profile and documented with clear trade-offs before a line of code is written.
Cloud Application Development
Cloud-Native Applications Built to Scale on Demand
We design and build cloud-native applications on AWS, Google Cloud and Azure, using managed services, containers and serverless patterns so your product scales with demand, stays resilient under load and costs only what it uses.
99.9%
Uptime SLA target
10wks
Typical time to production
35%
Typical infra cost saving
Cloud ApplicationsAWS, GCP, Azure-native builds
Tech we use
24+ tools
AWSGoogle CloudMicrosoft AzureCloudflare
Vercel
DigitalOcean
Node.js
NestJS
Python
FastAPI
Go
.NET
Java
Docker
Kubernetes
Terraform
GitHub Actions
Argo CD
PostgreSQL
MongoDB
Redis
Apache Kafka
Elasticsearch
FirebaseCloud Applications
Cloud Software Designed for the Cloud First
Moving a monolith onto a virtual machine is not cloud-native. We architect applications around the strengths of each platform: managed databases, event-driven services, autoscaling containers and serverless functions. The result is software that recovers from failure on its own, scales horizontally without re-engineering, and gives your team clear visibility into performance and spend from the first release.
Every build ships with infrastructure as code, automated pipelines and observability wired in. You own the accounts, the code and the architecture decisions, documented so any competent team can operate and extend the platform after launch.
- AWS, GCP and Azure certified patterns
- Infrastructure as code from day one
- Autoscaling and multi-zone resilience
- Cost visibility built into architecture
99.9%Uptime SLA target
What We Offer
Cloud Applications Services
Comprehensive capabilities covering every stage of your Cloud Applications journey — delivered by senior specialists.
Serverless Applications
Event-driven backends on Lambda, Cloud Functions and Azure Functions that scale to zero when idle, handle bursts automatically and remove the overhead of patching and managing servers.
Containerized Microservices
Services packaged with Docker and orchestrated on Kubernetes, EKS, GKE or AKS, with service discovery, health checks and rolling deployments that keep releases safe and reversible.
Managed Data Platforms
Relational, document and cache layers on managed services such as RDS, Cloud SQL, Cosmos DB and ElastiCache, with backups, replication and encryption configured to production standards.
APIs and Integrations
Secure REST and GraphQL APIs behind managed gateways, integrated with payment providers, CRMs, identity platforms and internal systems through queues and webhooks that tolerate downstream failures.
Multi-Region Deployments
Active-active or active-passive setups across regions with global load balancing, CDN edge caching and data residency controls for customers in the US, UK, GCC and Europe.
Why RixlSoft
Why Choose Us for Cloud Applications
Senior engineers, transparent delivery and AI-first thinking — the difference between shipping software and building an asset.
Platform-Agnostic Expertise
We recommend AWS, GCP or Azure based on your workloads, existing contracts and team skills, not on vendor preference or partner incentives.
Cost-Aware Engineering
Right-sized instances, reserved capacity planning and tagging strategies are part of the design, so your monthly bill stays predictable as usage grows.
AI-Accelerated Delivery
Our engineers use AI-assisted tooling for scaffolding, testing and infrastructure code, shortening delivery cycles while every change still passes human review.
Full Ownership for You
Cloud accounts, repositories and credentials sit under your organization. We hand over runbooks and architecture records so there is no lock-in to us.
Our Process
How We Deliver Cloud Applications
A proven, transparent process with clear deliverables at every stage — so you always know what's done, what's next and why.
01
Discovery and Workload Analysis
We map business goals, expected traffic, compliance requirements and integration points to define what the application must do and how it must behave under load.
Requirements briefLoad profileCompliance checklist
02
Architecture and Cloud Design
We select services, design networking and identity boundaries, and model monthly costs for each option so decisions are made with numbers, not assumptions.
Architecture diagramCost modelDecision records
03
Foundation and Landing Zone
Accounts, VPCs, IAM policies, CI/CD pipelines and observability are provisioned through Terraform before feature work begins, giving every environment the same baseline.
Terraform modulesCI/CD pipelineEnvironment setup
04
Iterative Build and Testing
Features ship in two-week sprints to staging with automated unit, integration and load tests, and you review working software at the end of every cycle.
Sprint releasesTest reportsLoad test results
05
Launch and Handover
We run a production readiness review, execute the go-live plan with rollback options, and transfer knowledge to your team through runbooks and walkthrough sessions.
Readiness reviewRunbooksHandover sessions
Technology Stack
Tools & Platforms We Master
Proven, production-grade technology chosen for your requirements — never for hype.
AWSGoogle CloudMicrosoft AzureCloudflareVercelDigitalOceanNode.jsNestJSPythonFastAPIGo.NETJavaDockerKubernetesTerraformGitHub ActionsArgo CDPostgreSQLMongoDBRedisApache KafkaElasticsearchFirebaseEngagement Models
Flexible Ways to Work Together
Choose the model that matches your scope, budget and pace — and switch as your needs evolve.
Fixed-Scope Project
A defined application with agreed features, architecture and timeline, delivered for a fixed price with milestone-based payments.
Discuss this modelDedicated Cloud Team
A cross-functional squad of cloud, backend and DevOps engineers working exclusively on your roadmap, scaling up or down monthly.
Discuss this modelTime & Material
Flexible billing for evolving products where scope changes frequently, with weekly reporting on hours, progress and cloud spend.
Discuss this modelIndustries
Industries We Serve
Banking & Fintech
Payments, lending & financial platforms
Healthcare & Pharma
Digital health & clinical platforms
Retail & E-Commerce
Commerce platforms & automation
Logistics & Ops
Supply chain & route optimization
Startups
MVPs & rapid launches
Enterprises
Modernization at scale
FAQs
Frequently Asked Questions
Everything you need to know about our Cloud Applications services. Can't find an answer? Talk to our team.
Ask an ExpertWhich cloud provider should we choose for a new application?
It depends on your workloads, existing licensing and team skills. Azure suits organizations already invested in Microsoft, GCP is strong for data and AI workloads, and AWS offers the widest service catalog. We compare them against your requirements and projected costs during discovery and document the recommendation with its trade-offs.
What drives the cost of building a cloud application?
Main cost drivers are the number of features and integrations, availability and compliance requirements, multi-region needs and the volume of data processed. A focused MVP on managed services costs far less than a multi-region regulated platform. We provide a scoped estimate after a short discovery phase, alongside a projected monthly cloud bill.
How long does it take to build a cloud-native application?
A focused MVP typically reaches production in eight to twelve weeks, including landing zone setup, CI/CD and core features. Larger platforms with multiple services, complex integrations or strict compliance work are delivered in phases over several months, with usable releases shipped to staging every two weeks so you see progress continuously.
Who owns the code, infrastructure and cloud accounts?
You do. Cloud accounts are created under your organization, repositories live in your GitHub or GitLab, and all intellectual property transfers to you on payment. We work with delegated access that you can revoke at any time, and we document the architecture so another team could take over without depending on us.
Do you support the application after launch?
Yes. Most clients move onto a monthly support plan covering monitoring, incident response, security patching, cost reviews and small enhancements. Response targets are agreed in writing. If you prefer to run the platform in-house, we provide runbooks, training sessions and an agreed hypercare period after go-live before stepping back.
Explore More
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Cloud Maintenance
Monitoring & optimization
Learn moreReady to start your Cloud Applications project?
Book a free discovery call. We'll map your goals, suggest the right approach and give you a clear estimate — no obligation.
Get In Touch
Let's Build Something Extraordinary
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