Learn how to build a lightweight load balancer in Go, featuring Round-Robin and Hashed balancing strategies. Ideal for distributed systems and microservices, with customizable backend server health checks.
Dealing with long-running jobs in Spring Batch can be tricky, especially when it comes to managing database connections and transactions. In our latest post on Developer’s Coffee, we dive into a real-world issue we faced with a Spring Batch job that timed out due to connection limits. Discover how we tackled the problem by tweaking HikariCP settings and adjusting load balancer timeouts to ensure smooth and reliable batch processing. Read on to learn more about our solutions and how you can apply them to your projects.
1. Introduction For many software applications, communicating with external services is necessary to complete their tasks. Whether sending messages or consuming APIs, most applications rely on other systems to function properly.As more and more users move their applications into Kubernetes, providing…