The problems with threading on Hashmap and leaky abstractions. The use of proper monitoring and careful use of data structures is very important in modern coding.
Let's take a step back and look at the rise of microservices and REST and the apparent decline of SOAP-based web services. What are the statistics and the reasons?
For most enterprises, the gating factor for a successful digital transformation will be how effectively and quickly they can adapt their existing technology strategies and practices to enable the modern-day, microservices-based apps that drive today’s hyperscale economy.
While many IoT posts focus on developing the things, this post focuses on the network that's connecting the things. But beyond the network, we'll also talk about the APIs involved. In this post, I'll specifically show you how to go about setting up blue dot functionality for indoor location services.
When putting a system together, you need to decide whether you're going to keep the code in one repository or split it across multiple repos. Here's some insight.
DataWeave is a powerful transformation language introduced with Mule Enterprise Edition 3.7. It allows you to transform data from one format to another and supports CSV, XML, JSON, Flat/Fixed Width (v3.8+) & Java. You can look at these DataWeave Examples to see it in action.
Node.js programmers often check the NODE_ENV environment variable, but did you know the value actually set for the it can have additional implications? Read on to find out what they are.
Sure, logging is hard for lumberjacks, but why does it have to be so hard for developers? How does ELK stack up when it comes to easing the pain of your log analysis?
This post discusses some of the characteristics that distinguish native graph databases and why these characteristics are of interest to graph database users.
We see this “Is Java dead?” question pop up year after year, and yet, by all external markers, Java is alive, well, and growing. Read on for more info!
In this article, Srinath Perera takes a look at a simple approach for a time series next value prediction, using the individual data set from a single household's electricity consumption.
