Cloud-native Application Architecture
Design and develop applications built specifically for cloud environments, leveraging microservices, APIs, and cloud-native technologies to deliver high availability, resilience, and performance.
Digital Solutions
Built for the cloud, so it scales on demand.
Applications designed natively for the cloud - so they scale on demand, stay available, and cost less to run over time.
What we deliver
Services in this focus area
Every engagement is scoped to your environment - deploy a single capability or the full stack.
01 02 Scalable SaaS Platform Development
Build secure, multi-tenant Software-as-a-Service platforms that can scale seamlessly as your customer base grows while ensuring reliability and operational efficiency.
03 Serverless & Containerized Application Builds
Develop modern applications using serverless computing and container technologies such as Docker and Kubernetes to improve scalability, reduce infrastructure costs, and accelerate deployments.
04 Cloud Deployment & DevOps Support
Streamline application deployment with automated CI/CD pipelines, infrastructure automation, monitoring, and cloud management to ensure faster releases, improved reliability, and continuous delivery.
In practice
EducationPaying for exam week all year
The situation
An assessment platform serves forty institutions from a monolith on two large virtual machines. On an ordinary Tuesday it is almost idle. During an exam window it carries thirty times that load, and the grading run afterwards saturates everything for an hour. The machines are sized for the worst hour of the year, so the platform pays for exam week fifty-two weeks a year - and still degrades during it, because the bottleneck is one process that cannot use the second machine.
Services engaged
- Cloud-native Application Architecture
- Scalable SaaS Platform Development
- Serverless & Containerized Application Builds
- Cloud Deployment & DevOps Support
How it is approached
The monolith is split along load profile rather than along org chart: sitting an exam, submitting, and grading have completely different shapes, and only the last is bursty. Grading moves to serverless, where an hour of heavy parallel work costs an hour. The steady-state services run in containers with autoscaling tied to the academic timetable, which is known months ahead and is a better signal than CPU. Tenancy is made explicit so one institution's exam window cannot affect another's.
What changes
Capacity follows the timetable instead of the annual peak, and the platform stops being least reliable at the only moment its customers cannot tolerate failure.
Talk to a cloud-based application development specialist.
Schedule a free consultation and our team will connect within 12 hours to understand your goals and map out the right approach.
We respond within 12 hours