Advanced Java Essentials – Episode 17: Web Services and RESTful API Development (Updated June 2026) (Updated June 2026)
What most people do not realize when they learn Java is that the moment you understand web services, you stop being a Java programmer and start being a backend developer — and that is a completely different salary bracket. NASSCOM and Deloitte project India needs 1.25 million technology professionals by 2027, and web service development sits at the core of what companies from Tata Tech and Bajaj Auto's digital teams to fintech startups are building every day. Episode 17 of our Advanced Java series covers web services from SOAP basics through REST architecture to JAX-RS implementation and JSON processing — exactly the progression employers test in technical rounds.
- Web services enable applications to communicate over a network using standard protocols
- REST has replaced SOAP as the standard for most new API development worldwide
- JAX-RS is the Java EE/Jakarta EE standard for building RESTful web services
- JSON is the dominant data format — Jackson is the go-to Java library for JSON handling
- API development skills add Rs 1–3 LPA to Java developer compensation (Glassdoor India 2025)
What Are Web Services and Why Every Java Application Uses Them
A web service is a standardized way for applications running on different machines — potentially in different programming languages — to communicate with each other over a network. Without web services, a mobile banking app written in Swift cannot talk to a backend written in Java, a React frontend cannot fetch data from a Python server, and a logistics platform cannot connect its Java core to a third-party GPS tracking service. Web services solve this by defining common communication protocols and data formats that all parties can understand. In Indian enterprise IT, web services are everywhere: payment gateways (Razorpay, PayU, HDFC) expose APIs that Java applications consume. IRCTC, GSTN, and DigiLocker provide government APIs consumed by thousands of applications. Every major SaaS product exposes an API. The consequence: a Java developer who cannot build or consume web services has a severely limited scope of work in the modern enterprise environment.

SOAP vs REST: Understanding the Two Main Approaches
SOAP (Simple Object Access Protocol) and REST (Representational State Transfer) are the two dominant web service paradigms, and understanding both remains relevant despite REST's clear dominance in new development. SOAP uses XML envelopes for all messages, relies on WSDL for service description, and requires specific XML structure even for simple requests. It has built-in standards for security (WS-Security), transactions (WS-AtomicTransaction), and reliability (WS-ReliableMessaging) — which is why banking systems, insurance platforms, and legacy enterprise applications often still use it. REST uses HTTP methods (GET, POST, PUT, DELETE) directly, supports multiple formats (JSON, XML, plain text), has no required envelope structure, and is stateless by definition. REST APIs are faster to build, easier to consume from any client, and require no special toolkit. The practical reality: new development goes REST almost universally. Legacy integration work requires SOAP familiarity. Senior developers need both.
| Feature | SOAP | REST | GraphQL |
|---|---|---|---|
| Protocol | SOAP over HTTP/SMTP | HTTP | HTTP (POST) |
| Data Format | XML only | JSON, XML, any | JSON |
| Learning Curve | High | Low–Medium | Medium |
| Caching | Complex | Native HTTP caching | Complex |
| Enterprise Use | Banking, Insurance, Legacy | Universal | API-first products |
| Java Standard | JAX-WS | JAX-RS / Spring MVC | Multiple libraries |
REST Architecture Principles Every Developer Must Know
REST is not a protocol — it is an architectural style defined by six constraints. Stateless: every request from client to server must contain all information needed to process it; the server holds no client session state between requests. Uniform Interface: resources are identified by URIs, manipulated through representations, and described by standard HTTP methods. Client-Server: UI and data storage concerns are separated, allowing them to evolve independently. Layered System: clients cannot tell whether they are connected directly to the server or through intermediaries. Cacheable: responses can be marked cacheable to improve performance. The practical implications for API design: GET /students/42 retrieves student with ID 42, PUT /students/42 updates it, DELETE /students/42 removes it. Resources are nouns, HTTP methods are verbs. Response codes communicate outcomes — 200 OK, 201 Created, 400 Bad Request, 404 Not Found, 500 Internal Server Error. Consistent, predictable API design is what distinguishes senior developers at Infosys, KPIT, and product companies from juniors who just make things work.

JAX-RS: Building RESTful Web Services in Standard Java
JAX-RS (Jakarta RESTful Web Services) is the standard Java specification for building RESTful APIs. Jersey (Oracle's reference implementation) and RESTEasy (Red Hat, used in Quarkus and JBoss) are the two main providers. In Spring Boot, Spring MVC's @RestController effectively replaces JAX-RS for most applications — but understanding JAX-RS annotations is still valuable because they appear in Jakarta EE applications and many legacy codebases. Core annotations: @Path("/students") on a class defines the base URI. @GET, @POST, @PUT, @DELETE on methods map HTTP verbs. @PathParam("id") injects URI path parameters. @QueryParam("page") injects query string parameters. @Produces(MediaType.APPLICATION_JSON) and @Consumes specify accepted/returned media types. The testing discipline: every API endpoint needs integration tests. Use JUnit 5 with REST Assured (fluent HTTP testing library) to write readable, maintainable API tests — this practice is what separates professional API developers from beginners.
JSON Processing in Java: Jackson and Gson
JSON (JavaScript Object Notation) is the data format that REST APIs overwhelmingly use, and Java needs a library to convert between JSON strings and Java objects. Jackson is the dominant choice — it is the default in Spring Boot and handles serialization (Java object to JSON) and deserialization (JSON to Java object) with minimal configuration. The key annotations: @JsonProperty("first_name") maps a JSON key to a differently named Java field. @JsonIgnore excludes a field from serialization — useful for password fields. @JsonInclude(JsonInclude.Include.NON_NULL) omits null fields from the output, keeping responses clean. ObjectMapper is the core Jackson class — use it directly when you need programmatic JSON handling. Gson (Google's library) is a lighter alternative, popular in Android development and simple use cases. For performance-critical high-throughput APIs, Jackson has the edge and more ecosystem support. Understanding Jackson configuration is a practical Spring Boot skill tested in most Java backend interviews.
API Security Basics: Authentication Patterns for Java Services
API security is a career-differentiating skill that separates mid-level from senior Java developers. The two dominant patterns for REST API security: HTTP Basic Authentication (base64-encoded credentials in the Authorization header) is simple but only acceptable for internal or low-security APIs. JWT (JSON Web Token) authentication is the current standard for REST APIs: the client sends credentials once to a login endpoint, receives a signed token containing user identity and expiry time, and includes that token in the Authorization header of subsequent requests. The server validates the token signature without database lookup, making it stateless and scalable. Spring Security provides complete JWT implementation with a few configuration classes. OAuth2 is appropriate when third-party login (Google, GitHub) is needed or when you are building a shared authorization server for multiple services. API rate limiting, input validation, and HTTPS-only are non-negotiable basics. Document these security considerations in every API you build for your portfolio.
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FAQs
What is the difference between SOAP and REST web services in Java?
SOAP is a protocol that uses XML for all messages and requires a formal contract (WSDL) describing the service. It has built-in standards for security, transactions, and reliability. REST is an architectural style that uses HTTP methods directly, supports multiple data formats (mostly JSON), is stateless, and has no required message envelope. SOAP is more verbose but has stronger built-in enterprise standards. REST is simpler, faster to build, and easier to consume from any client. Most new projects choose REST; legacy enterprise systems (banking, insurance, government) often use SOAP.
Do I need to know both SOAP and REST for a Java developer job in India?
For entry-level and mid-level Java jobs, REST proficiency is the priority — the vast majority of job descriptions ask for REST API experience. SOAP knowledge is a bonus for roles involving legacy system integration, banking backend work, or government IT projects. If you are targeting IT services companies like TCS, Infosys, or Wipro on banking accounts, add basic JAX-WS and Apache CXF familiarity to your skill set. For product companies and startups, REST with Spring Boot is sufficient.
What tools do I use to test REST APIs in Java?
The most commonly used tools: Postman for manual API testing — it lets you send HTTP requests, inspect responses, and organize tests in collections. REST Assured is a Java library for writing automated API tests in JUnit. curl is the command-line alternative for quick testing without a GUI. Spring Boot Test with MockMvc allows integration testing of REST controllers without starting a full server. For performance testing, Apache JMeter tests API throughput. Most job descriptions for backend Java roles mention Postman familiarity as a basic expectation.
How are web services used in real Java enterprise projects?
In real enterprise projects, web services connect disparate systems. A typical scenario: a Spring Boot application exposes a REST API consumed by a React frontend and a mobile app. The same backend calls third-party APIs — payment gateways (Razorpay), SMS services (MSG91), logistics APIs (Delhivery, Shiprocket). A separate microservice communicates with the order service via REST. Legacy banking modules are integrated via SOAP over internal networks. The Java developer in this environment writes REST controllers, configures Spring Security for API authorization, consumes external APIs using RestTemplate or WebClient, and writes integration tests against the full API surface.




