Criteria for choosing a language
Here’s a shortlist of components and features that must be inherent in a programming language or a framework, so it’s considered efficient enough for microservices implementation:
- Culture of automation
- Decentralization of components
- Built around business domain
- Consumer-first approach
- Culture of Continuous Integration (CI) and Continuous Deployment (CD)
1. Java
Java, a language with a 20+ history, is loved by many developers for its readability, maintainability, and variety of microservices frameworks that include Spring Boot, Play!, DropWizard, Spark Java, Swagger, and Jersey. Let’s briefly review the top Java frameworks for microservices:- DropWizard: The DropWizard consists of field-proven Java libraries that efficiently reduce development time and allow JAVA developers to focus on more creative and challenging tasks.
- Jersey: A Java framework based on JAX-RS specification. Developers like Jersey for its speed, easy routing, and well-written documentation with examples.
- Spring Boot: One of the most used microservices framework written in Java. Spring Boot offers a solid infrastructure for practically and kind of apps: from security to big data.
2. Golang
Go, or Golang amazes with its speed and support for concurrency in terms if microservices development. Concurrency realized in Golang efficiently boosts running across several cores and machines. In addition, Go boasts several powerful frameworks:- Gizmo: This microservice toolkit isn’t as mature as Go Micro, however, it has capabilities for server implementation and high-level building components like configs.
- Go Kit: Unlike Go Micro, this library is created to be imported to a binary package. The frameworks are optimized for DDD (Domain-driven design), explicit dependencies, and declarative compositions.
- Go Micro: Go Micro is an RPC framework for developing microservices in Golang. It offers such goodies as load balancing, PRC Client and server packages, and message encoding.
3. Python
Python enables a RESTful approach to create APIs, thus, efficiently using web protocols like HTTP and toolkits for remote object search and manipulation. Why is Python advantageous to writing microservices?- Compatibility with legacy languages like PHP.
- Availability of powerful substitutes to heavy implementations like Django.
- Prototyping is easier and faster compared to other languages and frameworks.
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