Application Modernization

Industry Trends & Challenges

Together with the digital services which are replacing all existing personal and business requirements and also changing the habits, the overall data consumption and Cloud services utilization increase continuously. This brings a next-challenge for every growing business: Scaling

Scaling for software means new practices and next-level architectures. Together with the Cloud-Native movement, its functions and benefits, Software practices and trends are converging towards creating or migrating the applications to decoupled architectures. This may include several options including:

• Microservices, where you have independently deployable applications with their isolated data persistent layers which are not shared with other services
• Polyglot architecture, where you are not tied to a homogenous stack with a single programming language or data persistence option, using different language stacks for different purposes and also benefiting from several different types of Database and Datastore options.
• Containers, where you define all your application dependencies, thus guaranteeing portability all the way from the developer workstation to production.
• Serverless, where you split your application into functions and deploy those functions to Cloud managed clusters that provide abstractions  from any underlying server and middleware maintenance, with options to trigger those services.

Benefits

Cost Saving: Transition to Kubernetes means decreasing in the number of servers/VMs by increasing the per-OS resource utilization. Besides, the transition paths include functions like scaling without horizontal scaling(Event Sourcing), Serverless, auto-scaling(Even scaling to 0!) which are related with overall cost decrease.

Performance: Decoupling the architecture, adding caching layers, eventual consistency and auto-scaling increases the performance. Replacing the Monolith architectures with lightweight and lean architectures means higher performer applications and services.

Cloud-Native: Kubernetes-driven infrastructure, together with Cloud functions which brings self-healing and automation on your development and deployment cycles

Scaling: Scaling on Y-axis and Z-axis dimensions, rather than just X-axis