Social Media Ideas for Java Resilience

Resilience by Design vs. Resilience by Library: BEAM vs. Go and Java

In distributed systems engineering, few architectural divides are as deep—or as philosophically opposed—as how different runtimes handle failure. When an unexpected error occurs, w...

BEAM Supervision Trees and “Let It Crash”: What Java Services Can Steal from Erlang

Most Java code tries hard to never fail. Erlang takes the opposite view, and the idea travels better than you might expect. Where “Let It Crash” Comes From The phrase sounds reckle...

How to Contain Partial Failures in Distributed Systems

Distributed systems rarely fail as a single unit. More often, one dependency slows down, one shard becomes unavailable, one region loses capacity, or one pool saturates while neigh...

Let It Crash vs. Try-Catch: Erlang/BEAM Supervision Trees Against Java’s Exception Model

There’s a moment every Java developer has lived through: staring at a stack trace at 2 a.m., trying to figure out whether to catch this exception, wrap it, rethrow it, or just let...

Going All In On the JVM 25 Virtual Threads

The project AngularAndSpring has been refactored from Spring Reactor to Spring blocking APIs using JDK 25 and virtual threads. The Old Architecture The reason AngularAndSpring was...

Durable Execution You Can Watch, Without a Workflow Engine

A background job charges a customer’s card on step three of four, then throws an exception on step four. The scheduler does what schedulers do and retries the whole job. Step three...

Structured Concurrency: Why JEP 505 Changes How We Think About Cancellation, Not Just Syntax

A request comes in. Your service forks two calls, one for the user and one for their orders. The user lookup fails after a few milliseconds. Your handler catches the exception, ret...

Java Virtual Threads Under Load: Three Production Limits

Virtual threads let us keep ordinary blocking code while many more requests wait concurrently. Under load, however, that brings three critical questions into focus: How much work...

Structured Concurrency in Practice: ExecutorService vs StructuredTaskScope

Most Java concurrency bugs show up when something goes wrong, not when everything works. So let’s break one subtask on purpose and watch what each approach does about it. A Quick S...

Structured Concurrency: What Changes for the Try/Catch Generation

A real CompletableFuture chain, rewritten into StructuredTaskScope, plus the JDBC cancellation gap nobody’s fixed yet. Java developers who learned concurrency on CompletableFuture ...

How to Deploy a Java Side Project on a Budget

Image attributed to Pexels.com Having a Java side project operate locally is important, but deploying it is another step. Live deployments let you test the project in real-world si...

How to Correctly Implement ‘Sneaky Throws’ in Java

If you ask Java developers about the concept of ‘Sneaky Throws,’ I am almost sure there will be a couple of opinions that are quite differently expressed, but similar in their mean...

Security Baked Into the JVM: no single party controls the outcome

A URL is a name, and names get reused. Replace the bytes behind https://repo.example.org/order-processor.jar and every permission granted to that URL still applies, now to code nob...

Checked Exceptions: The Language Design Debate Java Never Resolved

Why Java stands almost alone among mainstream languages in forcing you to declare or catch certain exceptions, the criticism that shaped C# and Kotlin, and whether the reasoning be...

Java Weekly, Issue 667

Spring + Jev, and the real use of unit testing. The post Java Weekly, Issue 667 first appeared on Baeldung.       

Building professional resilience: A guide to surviving job loss

When Retries Become Failure Amplifiers: The Hidden Cost of Recovery at Scale

The City Traffic Analogy Imagine a city's traffic system during rush hour. A minor accident blocks one lane on a major highway. Traffic slows down, but the road remains partially f...

Resolving Jackson Deserialization Creator Exception

Jackson is commonly used in Java applications to convert JSON into Java objects. This process is called deserialization. A common exception during deserialization is: Cannot deseri...

Android Paging 3 Failure Matrix

Android Paging 3 Viewmodel Partial Success Refresh Failure Matrix becomes concrete in this setup: A phone, laptop, and checklist arranged for testing paged data through failure and...

Design a Resilient Async Architecture That Scales With Demand

Follow the architectural process and principles that underpin the Async Framework, a resilient approach to asynchronous execution at scale.

Java Scoped Values: A Practical Example

ScopedValue provides a way to share contextual data with methods without passing that data explicitly through every method parameter. A scoped value is bound only while a specific...

Java Compact Source Files: No Class, No Static Main

Java has traditionally required a class and a static main method even for the smallest programs. Java 25 changes this with compact source files and instance main methods, providing...

Jakarta Batch in Practice: Reliable Chunk-Oriented Processing for Enterprise Workloads

Batch processing remains vital because many business operations aren't suited to interactive requests. Tasks such as recalculating prices, reconciling transactions, migrating recor...

Working With Spreadsheets in Java: A Practical Overview

Java Meets the Spreadsheet Apache POI has been the standard Java library for reading and writing Excel files for over twenty years. It handles the majority of everyday spreadsheet...