Exception handling in Spring Boot is not merely about catching runtime errors; it is about controlling the failure lifecycle within the request-processing pipeline. From the moment an exception is thrown, Spring’s DispatcherServlet coordinates with exception resolvers, controller advice components, and response converters to transform failures into structured, semantically meaningful HTTP responses that align with REST principles.

In production systems, exceptions happen frequently due to:
- Invalid client input
- Database failures
- Network timeouts
- Business rule violations
- Third-party API failures
Table of Contents
A mature application does not crash or leak stack traces. Instead, it responds with structured, meaningful information.
This article explains both how to implement it and how it works internally inside Spring Boot.
What Happens When an Exception Occurs in Spring Boot?
Let’s first understand the internal flow.
Request Lifecycle (Simplified)
Client Request
↓
DispatcherServlet
↓
Controller
↓
Service
↓
Repository
If an exception occurs anywhere:
- Controller
- Service
- Repository
- Filter/Interceptor
It travels back up the chain.
Without custom handling, Spring Boot’s default behavior is:
- Return HTTP 500
- Send a generic error JSON
- Log stack trace in console
Internal Mechanism Behind Exception Handling
Spring Boot uses several internal components:
DispatcherServlet (Core Controller)
This is the front controller of Spring MVC.
When an exception occurs, DispatcherServlet:
- Stops normal execution
- Searches for an ExceptionResolver
- Delegates exception handling
HandlerExceptionResolver (Key Player)
Spring maintains a list of resolvers:
- ExceptionHandlerExceptionResolver
- Handles
@ExceptionHandlermethods - Works with
@ControllerAdvice
- Handles
- ResponseStatusExceptionResolver
- Handles exceptions annotated with
@ResponseStatus
- Handles exceptions annotated with
- DefaultHandlerExceptionResolver
- Handles Spring internal exceptions
- Example: HttpRequestMethodNotSupported
Spring checks these resolvers in order.
The first one that can handle the exception wins.
Why Production Systems Need Global Handling
Handling exceptions inside each controller:
- Duplicates code
- Creates inconsistency
- Hard to maintain
- Not scalable
Global handling centralizes logic.
Production-Ready Strategy
A professional approach includes:
- Custom exceptions
- Global handler
- Structured error response
- Proper logging
- Validation handling
- Standardized formats
Structured Error Response (Core Concept)
Returning plain strings is bad practice.
Instead, define a standard response.
public class ApiError {
private int status;
private String error;
private String message;
private String path;
private LocalDateTime timestamp;
public ApiError(int status, String error,
String message, String path) {
this.status = status;
this.error = error;
this.message = message;
this.path = path;
this.timestamp = LocalDateTime.now();
}
}
Why this matters
Clients can reliably parse:
- status
- message
- time
- endpoint
This is critical for frontend and microservices.
Custom Exceptions (Business Clarity)
Custom exceptions describe intent.
public class ResourceNotFoundException
extends RuntimeException {
public ResourceNotFoundException(String msg) {
super(msg);
}
}
Usage:
User user = repo.findById(id)
.orElseThrow(() ->
new ResourceNotFoundException("User not found"));
Now your code reads like business logic, not error handling.
@ControllerAdvice (Global Control Center)
This is where production-level handling lives.
@ControllerAdvice
public class GlobalExceptionHandler {
@ExceptionHandler(ResourceNotFoundException.class)
public ResponseEntity<ApiError> handleNotFound(
ResourceNotFoundException ex,
HttpServletRequest request) {
ApiError error = new ApiError(
404,
"NOT_FOUND",
ex.getMessage(),
request.getRequestURI()
);
return new ResponseEntity<>(error,
HttpStatus.NOT_FOUND);
}
}
Internal Working of @ControllerAdvice
When an exception occurs:
- DispatcherServlet catches it
- It asks HandlerExceptionResolvers
- ExceptionHandlerExceptionResolver checks for:
@ExceptionHandlermethods- inside
@ControllerAdvice
- Matching handler executes
- ResponseEntity is returned to client
So @ControllerAdvice acts like a global interceptor for exceptions.
Validation Exception Handling
When using:
@PostMapping public void create(@Valid @RequestBody UserDto dto)
Spring automatically validates.
If invalid:
- MethodArgumentNotValidException is thrown
- Occurs BEFORE controller logic executes
Handler:
@ExceptionHandler(MethodArgumentNotValidException.class)
public ResponseEntity<Map<String, String>>
handleValidation(MethodArgumentNotValidException ex) {
Map<String, String> errors = new HashMap<>();
ex.getBindingResult()
.getFieldErrors()
.forEach(err ->
errors.put(err.getField(),
err.getDefaultMessage()));
return ResponseEntity.badRequest()
.body(errors);
}
Logging Strategy (Critical in Production)
Never return stack traces to clients.
But ALWAYS log them.
log.error("Unexpected error occurred", ex);
Why?
- Debug production incidents
- Root cause analysis
- Monitoring tools (ELK, Datadog)
Spring Boot 3 — ProblemDetail (RFC-7807 Support)
In modern APIs, returning ad-hoc error JSON leads to inconsistency and tight coupling between backend and clients. To solve this, Spring Boot 3 introduced native support for RFC-7807 (Problem Details for HTTP APIs) through the ProblemDetail class.
This is a major improvement in Exception Handling in Spring Boot – Explained, because it moves error handling from custom conventions to an industry-standard specification.
Basic Example
@ExceptionHandler(ResourceNotFoundException.class)
public ProblemDetail handleNotFound(
ResourceNotFoundException ex) {
ProblemDetail pd =
ProblemDetail.forStatus(404);
pd.setTitle("Resource Not Found");
pd.setDetail(ex.getMessage());
return pd;
}
What ProblemDetail Actually Solves
Before Spring Boot 3:
- Teams created custom error DTOs
- Formats differed across services
- Clients needed special parsing logic
- Documentation became inconsistent
Now:
- A uniform error structure is enforced
- Clients can reliably parse failures
- APIs become self-descriptive
Real Production Tips
Separate exceptions by domain
Example:
- UserNotFoundException
- OrderProcessingException
- PaymentFailedException
Never expose internal messages
Bad:
SQL Error: column not found
Good:
Database error occurred
Add correlation IDs
Useful for tracing requests across microservices.
Monitor error rates
Track:
- 4xx spikes
- 5xx spikes
They indicate system health.
Common Interview Insight
If interviewer asks:
“Explain internal working of exception handling in Spring Boot.”
Answer:
“Spring Boot uses DispatcherServlet, which delegates to HandlerExceptionResolvers when an exception occurs. The ExceptionHandlerExceptionResolver looks for @ExceptionHandler methods in @ControllerAdvice classes. The first matching handler processes the exception and returns a structured response.”
This shows real understanding.
Conclusion
Production-ready exception handling is not optional—it is part of API design.
A good system:
- Centralizes handling
- Uses custom exceptions
- Returns structured responses
- Logs properly
- Follows standards
GooԀ answer back in return of thiѕ difficulty with solid
arguments and describing all on the topiс of that.
Loook аt my ᴡeb site: Owen