Platform as a service

Trend 1 – Container-based applications emerge as the preferred architecture

Containers have emerged as the top choice for microservices-based architecture to build resilient and scalable applications for digital initiatives. Cloud providers started with proprietary services for container management, however, significant developments from the open-source community and industrywide adoption have seen Kubernetes emerge as a dominant platform. While cloud providers now offer fully managed Kubernetes environments, there are CSP-neutral managed distributions of Kubernetes like VMware Tanzu, Red Hat OpenShift and Rancher. Application portability is ensured through containerization, but the choice of management approach of Kubernetes also depends on portability required at the management plane.

Infosys partnered with a leading European carmaker to transform their massive legacy application onto Microsoft Azure. We implemented container clusters in a multi-region deployment to handle global transactions and, at the same time, meet stringent performance requirements.

Platform as a service

Trend 2 – Businesses adopt serverless computing models

Cloud services (infrastructure as a service (IaaS) and PaaS) and container management platforms help reduce the cost and complexity to set up, maintain and manage the stack for traditional three-tier applications. However, capacity planning and scalability management continue to haunt the operations teams. Serverless computing eliminates the need to maintain infrastructure and platforms so that enterprises can focus on great business applications development using services or APIs across functions, stream processing, analytics, cognitive services and security. Foremost industry analysts and a recent Infosys study also validate this trend. Concerns around developer experience and runtime management are addressed through evolving maturity in frameworks and tools, yet there are a few operational changes that organizations need to undergo, including the move to consumption prediction models for better cost control.

Infosys sees the adoption of serverless computing for variable and intermittent workloads as well as atomic back-end processes. We transformed the e-commerce platform of a well-known retailer with fully serverless architecture, which provided a scalable and elastic solution adaptable to business volumes through the use of services such as AWS API Gateway, AWS Lambda and DynamoDB.

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