Enterprises rely heavily on APIs and microservices to build and connect applications, a fundamental requirement for their digital transformation. In today’s application development ecosystem, API is the visible layer while distributed application runtime, containers, interfaces, integration, serverless computing, DevSecOps tools and platforms form a strong backbone. APIs are layered over on-premise systems to promote partner connectivity and developer productivity.
Enterprises adopt CNCF cloud-native development standardization
The microservices architecture helped achieve ondemand elasticity and scalability of the APIs for both on-premise and public hyperscaler infrastructure. APIs and microservices had to deploy on hybrid infrastructure in addition to serverless infrastructure to support the enterprise requirements.
Newer application layer protocols replace HTTP REST for greater efficiency
Industry adoption of the hyperscaler brought the critical focus on security, performance, lightweight containers and availability. The APIs and microservices need to support the hybrid UI/UX ecosystem in addition to the serverless solutions.
Go and Kotlin emerge as primary choices for lightweight microservices with a low memory footprint
With strong memory safety, garbage collection and structural typing, Go offers high runtime efficiency. It is already a top choice for system design but also is widely used for microservices. At Infosys, we use Go for many projects where a memory footprint is critical.
.NET 5 expands the developer experience and unifies runtime behavior on all platforms
The .NET community eagerly awaits the release of .NET 5, which will unify ASP.NET, .NET Core, Entity Framework Core, WinForms, Windows Presentation Foundation, Xamarin and ML.NET, and provide a single platform to build cross-platform applications.
Focus shifts from languages and frameworks to stacks
Expect frameworks, messaging systems, transport layers, data serialization formats, APIs and more to emerge with the new microservices landscape. Since these components now constitute a fullstack, developers are less likely to choose individual languages and frameworks for their application development, as was the case in the past.
Polyglot frameworks take center stage
Modern Java frameworks that offer fast throughput and nominal startup time (e.g., Quarkus, Micronaut and Helidon), will be instrumental in robust microservice and serverless application builds. These frameworks support Amazon Web Services (AWS) Lambda and Azure Functions, as well as non-blocking reactive styles of programming and declarative types.
Browser-based IDE and cloud workspaces proliferate
In-browser IDEs help with mobility, portability and better team-level collaboration, and efforts are underway to eliminate any system constraints. The IDEs also possess AI assisted intellisense features that utilize the developer’s current context and patterns based on thousands of highly rated opensource projects on GitHub.
Cloud Engineering using DevSecOps is the norm
Agile methodology and microservices have triggered frequent builds and deployment. As a result, opensource components in the software and image containers deployed in Kubernetes clusters remain vulnerable.
100% API-driven infrastructure supports multiple cloud platforms
In today’s dynamic environment, API-driven infrastructure provides the ability to set up infrastructure in the cloud or on-premise with the use of programming languages and libraries.
Hybrid cloud models employ hybrid API management
The API management tool provides the ability to discover the service, integrate to create security tokens and enable monitoring. Many enterprises now have applications distributed across hybrid infrastructures, public hyperscalers and on-premise data centers.
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