Let's get your Spark apps up and running on Databricks.

Many libraries use Redis for distributed locking, but some of these good libraries haven't considered all of the pitfalls that may arise in a distributed environment.

We explore the various stages in a CI/CD process and why a CI/CD pipeline is essential for your organization to deliver code at speed and scale.

Hello Muleys, Here's another interesting article on how to restrict additional queryParams and headers that are sent other than those defined in RAML. We all do the test if the required parameters are working fine or not but we forget to test if unnecessary parameters sent along with required parameters. What happens if unwanted parameters are sent? There are chances that attackers might send some thousands of queryParams and Headers with large content. In that case, your application will crash. So what to do? Here's the solution: I have designed a basic RAML with the below resource : When you download the RAML and generate flows, There's an option to restrict additional parameters or headers in APIkit Router Module configuration : By default the configuration is disabled. You have to enable the strict validation config as below: Now your application will not be allowed to pass additional fields: Removing unnecessary fields will give a successful response: Check out this video for the live demo:

All APIs developed using Mule must be built with a health check endpoint. This template will help you maintain a uniform structure across all the APIs and their layers.

I provide a working example and step-by-step explanation on how to integrate using SAML 2.0 - the most popular integration protocol for SSO.

A DevOps toolchain is a collection of tools that operate as an integrated unit to design, build, test, manage, measure, and operate software and systems.

I describe how I created the API definition, then how I created the server and client code from the API definition. Then I will talk about some of the problems I faced.

There are several tools that you can choose to seamlessly integrate into your workflow according to the compatibility with your technology stack.

This article explains on how can we can perform memory management to effectively run larger MuleSoft DataWeave scripts.

We use CIDR ranges for security-related things. Like to secure the traffic in terms of IP addresses. Usually, it helps us in defining the IP address range.

WebDriverIO has an extended set of built-in and community plugins that help in designing robust, scalable tests and easily integrate with third-party applications.

This blog will help you to start coding on MuleSoft from scratch

In this article, I describe how to use the new packaged and classes in the Integration API provided in App Connect Enterprise v11.0.0.5.

Walk through the process of creating a Slash GraphQL backend service to meet the needs of a fictional client, called InstaMeme.

Here's a list of 21 of the best Jenkins alternatives. Read Now to choose the best that suits your needs.

This deep dive into Java concurrency focuses on properly using the volatile keyword in your code.

Although application components exchanging events can be organized similarly, this is not an intrinsic part of Event-Driven Architecture.

This article will help you practice your DataWeave skills in MuleSoft. We're going to use two different approaches to concatenate an array of letters.

Event streaming with Apache Kafka fits into smart city architecture for data integration and correlation in real-time, at scale, between stakeholders.