App Service
Our most-used Azure service. We deploy web applications and APIs to App Service for fast, reliable hosting with built-in scaling, custom domains, and SSL — without managing the underlying server.
Cloud-Powered Development
We build applications that use cloud services the right way — scalable, reliable, and integrated cleanly with your systems.
Cloud-powered development is not just about where your application is hosted — it is about how your application is built. We design and develop systems that take advantage of cloud services to handle scale, automate processes, store and retrieve data efficiently, and stay reliable under real-world conditions.
Our primary platform is Microsoft Azure, where we have 8+ years of hands-on experience across a wide range of services. We have also worked with AWS on production projects, including messaging, serverless compute, storage, and hosted infrastructure. Whether your project is starting fresh or you need to integrate cloud services into an existing system, we can help you make the right choices and implement them properly.
Cloud Services We Work With
01
Microsoft Azure
Azure is where we have our deepest experience. We have used it across multiple production systems — from hosting and deployments to background processing, automated workflows, and database management. We know not just what each service does, but when to use it and how to configure it well.
Azure Functions
We use Azure Functions for background tasks and event-driven processing — scheduled jobs, processing queue messages, responding to file uploads, and more. Serverless means you only pay for what runs.
Logic Apps
Logic Apps let us build automated workflows visually — connecting services, triggering actions on schedules or events, and integrating with third-party APIs without writing repetitive glue code. We have used this for automated email workflows, data sync, and business process automation.
Virtual Machines
When an application needs a fully controlled server environment — running SQL Server, IIS, Windows Services, or custom software — we provision and manage Azure VMs configured for the specific workload.
Storage & Blob Storage
We use Azure Storage for file uploads, document management, and storing application data that does not belong in a relational database — images, attachments, exports, backups, and more. Scalable and cost-effective for large volumes.
Azure SQL Database
A managed cloud database service fully compatible with SQL Server. We use it for applications that need a reliable, scalable relational database without the overhead of managing database infrastructure.
Cosmos DB
For applications that require flexible, document-based data storage at scale — we have used Cosmos DB where a traditional relational database is not the right fit, particularly for globally distributed or high-throughput scenarios.
Redis Cache
We use Azure Redis Cache to speed up applications by caching frequently accessed data in memory — reducing database load and improving response times for users, particularly in high-traffic systems.
Cloud Services
We have worked with Azure Cloud Services using Web and Worker Roles for applications that require dedicated compute with fine-grained control over scaling — automatically adjusting resources based on CPU usage and traffic demand.
Azure Monitor
We set up monitoring and alerting using Azure Monitor to give clients full visibility into how their applications are performing — catching issues early, tracking usage patterns, and keeping production systems healthy.
02
Amazon Web Services (AWS)
We have worked with AWS on production projects — most notably as the cloud backbone of a large-scale financial ERP built on a microservices architecture. Our AWS experience covers the core services most applications depend on.
EC2 — Virtual Servers
We provision and configure EC2 instances to host applications and services that need a dedicated, fully controllable server environment on AWS.
Lambda — Serverless Functions
We use AWS Lambda for event-driven background processing — running code in response to triggers without managing server infrastructure. Particularly useful in microservices architectures.
S3 — Cloud Storage
We use S3 for scalable file and object storage — storing documents, exports, media files, and application assets that applications need to read and write programmatically.
SNS — Notifications & Messaging
We use SNS to send notifications and trigger downstream processes across distributed systems — publishing events that multiple services can subscribe to and act on independently.
SQS — Message Queuing
SQS gives us reliable message queuing between services — decoupling components so that if one part of the system is busy or temporarily unavailable, messages are not lost and processing continues when ready.
RDS — Managed Database
We use AWS RDS for managed relational databases on AWS — removing the operational overhead of running and maintaining database servers while keeping full SQL compatibility.