Infosys TechCompass

Languages and ecosystems

Trend 3: Interest in Golang grows in lightweight microservices

The industry is shifting toward Golang for backend services. This trend is driven by the need for green computing and FinOps (cloud cost optimization). Unlike languages that require heavy startup resources, Go compiles to machine code with a negligible memory footprint. Its goroutines (lightweight threads) allow a single server to handle thousands of concurrent processes with minimal RAM. This shift is shaping a future where compute density is maximized. Enterprises can run more microservices on smaller, cheaper cluster instances, directly reducing infrastructure bills while improving scale and reliability for high-load applications.

A European oil and gas company partnered with Infosys to develop a next-generation DevOps and Observability platform. The company has migrated from Node.js and Python to Golang, using the Apollo library to expose GraphQL endpoints, for its new set of microservices optimized for efficient memory management capabilities.

Languages and ecosystems

Trend 4: A unified .NET platform supports cloud-ready and AI-enabled development

The fragmentation of the past (splitting .NET Framework, Core and Xamarin) is over. The industry is rapidly standardizing on a single .NET runtime (currently .NET 8/9/10) that delivers uniform behavior across cloud, desktop, and mobile. This unification provides a streamlined unified .NET SDK experience, where one set of tools builds everything from web frontends to high-performance background workers. A key driver here is .NET Aspire, an opinionated, cloud-ready stack that simplifies orchestrating distributed applications, handling observability, and wiring up dependencies like Redis or PostgreSQL automatically. The future is portable high performance: Developers can now ship self-contained, single-file microservices using Native ahead-of-time (AOT) compilation, which start instantly and deploy easily to Linux containers, leveraging HTTP/3 and faster base case library algorithms for maximum throughput.

An American multimodal logistics company has partnered with Infosys to build its digital freight shipping management system, designed to streamline the end-to-end life cycle of its transportation operations. The solution is built on generative AI capabilities in Google Cloud and the unified .NET stack, providing a consistent, high-performance foundation across all services, including real-time quotes, order management, carrier allocation, route optimization, and shipment tracking.

Languages and ecosystems

Trend 5: Java advances toward a cloud-native and AI-first platform

Java is consolidating into a cohesive application platform centered on Java 25/26, Spring Boot 4.0, and Jakarta EE 11. This shift reduces long-standing complexity while enabling cloud-native execution, AI-native integration, and high-performance workloads, positioning Java for both enterprise modernization and next-generation application development.

At language and runtime levels, virtual threads (permanent since Java 21) support massive I/O concurrency using familiar blocking code, reducing reliance on reactive models. Combined with structured concurrency, they simplify safe parallel execution and are now viable for mainstream microservices and APIs through Spring Boot 3.2+.

Java’s performance model is evolving through Project Valhalla, introducing value types to reduce object overhead, improve memory locality, and lower garbage-collection pressure. Planned generic enhancements aim to eliminate boxing for primitives. While not yet production-ready, Valhalla represents a foundational change expected in Java 26-27.

The runtime layer is being modernized via AOT compilation with GraalVM Native Image and Project Leyden, addressing startup and memory constraints. This expands Java’s suitability for serverless, event-driven, and container-dense workloads, supported by frameworks such as Quarkus, Micronaut, and Spring’s native tooling.