Learn about in-memory MapReduce, the Ignite in-memory file system, and the Hadoop file system cache. Also learn how to install and configure Hadoop and Ignite.
In this post we take a look at how to quickly create a Python function using AWS Lambda, including their configurations and uploading them to the service.
There is often a requirement to compress or uncompress a message payload at the end of operations. MuleSoft has out-of-box GZIP Compress and Uncompress to achieve this.
The message chunk splitter splits a message into chunks of bytes that defined by the messageSize attribute. It splits the message into various parts defined using by MEL.
In this article, we take a look at the JSON Web Tokens (JWT), what advantages they hold, and how they constitute an improvement over older authentication systems.
You can augment and enhance Apache Spark clusters using Amazon EC2's computing resources. Find out how to set up clusters and run master and slave daemons on one node.
Wicket is a good framework, but its configuration code is verbose. Fortunately, you can integrate it with Spring Boot to take advantage of its autoconfigure capabilities.
Learn how to make sense of IaaS architecture, identifying API usage in apps, monitoring external services, dependencies, and APIs, and tackling dependencies.
If you're debugging FreeRTOS applications, here are a few configuration tips you can keep up your sleeve that will save time and give you more accurate results.
REST refers to a stateless software architecture that provides many underlying characteristics and protocols that govern the behavior of clients and servers.
When it comes to integrating and managing data, there are quite a few tasks that are downright tedious. Data engineering is a tough job, but somebody's gotta do it!
You've written an awesome article, and now you need an equally awesome image. In this article, we share suggestions for selecting the right featured photo for your post.
There are a few ways you can set up your own tests for Data Transfer Objects and REST Controllers in Spring Boot, removing the need to manually test everything yourself.
The key to dealing with data is to figure out which audience is appropriate for each data set, and then open up that data to the correct audience via APIs.
Set up your pipeline so that when changes occur to a project in the monorepo, the CI for that corresponding project is triggered and a Docker image is built and deployed.
