Most production systems have logs.
But as discussed in The Difference Between “We Have Logs” and “We Can Debug an Incident”, having logs does not necessarily mean that we can understand what happened during an incident.
One of the most common statements during a production incident is:
“Don’t worry, we have logs.”
Running large language models locally has become a practical option for developers who want:
Most Spring Boot projects start in a very similar way:
The @Transactional annotation is one of the most useful features in Spring Boot applications.
Modern software teams have better tools than ever:
When building Spring Boot applications, one of the first decisions you’ll make is choosing the HTTP client for communicating with other services.
For years, RestTemplate was the standard solution. Today, WebClient is the recommended choice for new applications.
In microservice architectures, REST calls between services are unavoidable.
However, one of the most common and dangerous production mistakes is forgetting to configure proper timeouts for REST clients.
Exception handling is a fundamental part of application design, yet many systems — especially legacy enterprise codebases — still rely heavily on checked exceptions and extensive try-catch blocks across every layer.
In modern microservices architectures, this approach often causes more harm than good.
In distributed systems, logging and exception handling are not just debugging tools — they are core parts of system reliability and observability.
Poor logging makes production issues hard to diagnose, while improper exception handling often leads to hidden failures, inconsistent states, and frustrated users.
