The article discusses the architectures currently popular for achieving this Serverless Architecture for Scale use cases and how and when we can use them.

Sofien, one of GitGuardian's tech leads, describes how pre-commit hooks are used to save time and also secure commits company-wide.

Learn how to build a geo-distributed API layer with Kong Gateway.

A few weeks ago I wrote a blog on synchronizing multithreaded integration tests, which was republished on DZone Javalobby from where it received a comment from Robert Saulnier who quite rightly pointed out that you can also use join() to synchronize a worker thread and its unit tests. This got me thinking, just how many ways can you synchronise multi-threaded integration tests? So, I started counting... and came up with: Using a random delay. Adding a CountDownLatch Thread.join() Acquiring a Semaphore With a Future and ExecutorService Now, I’m not going to explain all the following in great detail, I’ll let the code speak for itself, except to say that all the code samples do roughly the same thing: the unit test creates a ThreadWrapper instance and then calls its doWork() method (or call() in the case of the Future). The unit test’s main thread then waits for the worker thread to complete before asserting that the test has passed. For the sample code demonstrating points 1 and 2 take a look at my original blog on Synchronizing Multithreaded Integration Tests, though I wouldn’t recommend point 1: using a random delay. Thread.join() public class ThreadWrapper { private Thread thread; /** * Start the thread running so that it does some work. */ public void doWork() { thread = new Thread() { /** * Run method adding data to a fictitious database */ @Override public void run() { System.out.println("Start of the thread"); addDataToDB(); System.out.println("End of the thread method"); } private void addDataToDB() { try { Thread.sleep(4000); } catch (InterruptedException e) { e.printStackTrace(); } } }; thread.start(); System.out.println("Off and running..."); } /** * Synchronization method. */ public void join() { try { thread.join(); } catch (InterruptedException ex) { Thread.currentThread().interrupt(); } } } public class ThreadWrapperTest { @Test public void testDoWork() throws InterruptedException { ThreadWrapper instance = new ThreadWrapper(); instance.doWork(); instance.join(); boolean result = getResultFromDatabase(); assertTrue(result); } /** * Dummy database method - just return true */ private boolean getResultFromDatabase() { return true; } } Acquiring a Semaphore public class ThreadWrapper { /** * Start the thread running so that it does some work. */ public void doWork() { doWork(null); } @VisibleForTesting void doWork(final Semaphore semaphore) { Thread thread = new Thread() { /** * Run method adding data to a fictitious database */ @Override public void run() { System.out.println("Start of the thread"); addDataToDB(); System.out.println("End of the thread method"); semaphore.release(); } private void addDataToDB() { try { Thread.sleep(4000); } catch (InterruptedException e) { e.printStackTrace(); } } }; aquire(semaphore); thread.start(); System.out.println("Off and running..."); } private void aquire(Semaphore semaphore) { try { semaphore.acquire(); } catch (InterruptedException e) { e.printStackTrace(); } } } public class ThreadWrapperTest { @Test public void testDoWork() throws InterruptedException { ThreadWrapper instance = new ThreadWrapper(); Semaphore semaphore = new Semaphore(1); instance.doWork(semaphore); semaphore.acquire(); boolean result = getResultFromDatabase(); assertTrue(result); } /** * Dummy database method - just return true */ private boolean getResultFromDatabase() { return true; } } With a Future public class ThreadWrapper implements Callable { @Override public Boolean call() throws Exception { System.out.println("Start of the thread"); Boolean added = addDataToDB(); System.out.println("End of the thread method"); return added; } /** * Add to the DB and return true if added okay */ private Boolean addDataToDB() { try { Thread.sleep(4000); } catch (InterruptedException e) { e.printStackTrace(); } return Boolean.valueOf(true); } } public class ThreadWrapperTest { @Test public void testCall() throws ExecutionException, InterruptedException { ThreadWrapper instance = new ThreadWrapper(); ExecutorService executorService = Executors.newFixedThreadPool(1); Future future = executorService.submit(instance); Boolean result = future.get(); assertTrue(result); } } Having listed all these methods, the next thing to consider is which one is the best? In asking that question you have to define the word “best” in terms of best for what? Best for simplicity? Maintainability? Speed or code size? After all Programming the Art of Making the Right Decision. You may have guessed that I don’t like the random delay idea and prefer the use of a CountDownLatch. Thread.join() is a bit old school; remember that the likes of Semaphore and CountDownLatch were written to improve on the original Java threading techniques. ExecutorService seems a little heavy weight for what we need here. At the end of the day the choice of technique really comes down to personal preference. Finally, I’ve listed five ways of synchronizing multi-threaded integration tests; however, if you can think of any others please let me know... The source code for this blog is available on Github.

Here we will use the Mulesoft Anypoint platform to attach VPC to the AWS transit gateway to form a single network topology.

The serverless offerings of AWS are getting more and more popular. But it remains a challenge to know them well enough to leverage them properly.

This article makes some observations on the advancements in real-time, event-driven messaging with hierarchical topics from the MoM perspective.

The Decorator pattern is a great fit for modifying the behaviour of a microservice. Native language support can help with applying it quickly and modularly.

We will discuss file uploads with the help of the IFormFile Interface and others provided by .NET and step-by-step implementation using .NET Core 6 Web API.

Here's how to start using Cucumber, the widely used BDD framework for Selenium automation testing. This article helps you get set up in Eclipse and IntelliJ IDEA. It also provides a step-by-step guide on setting up Maven Cucumber project in Eclipse.

Discover the key differences between Databricks and Snowflake around architecture, pricing, security, compliance, data support, data protection, performance, and more.

This article talks about the architecture of DBMS (Database Management Systems), with their structure, advantages, features, and more.

This tutorial covers a few operations in the Mule Snowflake Connector along with the Snowflake configuration for those operations.

Explore the difference between two well-known Auth building methods: AWS Cognito and JSON Web Token. Plus, take a look at the AWS Cognito application process.

Check out the benefits of deploying a service mesh, popular tools for deploying a Service Mesh, and more here in this article.

Gain context of three separate API solutions which can be used to validate name input fields within an application as you follow along with this demonstration.

Find out how companies can leverage EDI integration solutions to drive their business forward. Also, explore the potential limitations posed by EDI.

Learn how to make asynchronous API calls from Spring Boot using Spring Cloud OpenFeign and Spring @Async to reduce the response time to that of a one-page call.

Stream messages between API endpoints using Kafka running on Kubernetes.

Learning a cloud platform takes a long time. If you are familiar with AWS, this is the overview you need to get started quickly to understand Google Cloud.