Cloud-based infrastructure, containers, microservices, and new programming platforms are dominating the media and sweeping across IT departments around the world.
Go is an excellent choice for building fast and scalable API's. The net/http package provides most of what you need, but augmented with the Gorilla Toolkit, you'll have an API up and running in no time. Learn how to build and secure a Go API with JSON Web Tokens and consume it via a modern UI built with React.
There are multiple ways to monitor Docker containers. This blog post will explain a few simple and easy to use options. Read on for further explanation and analysis.
"Big data" and "data lake" only have meaning to an organization’s vision when they solve business problems by enabling data democratization, re-use, exploration, and analytics. Read on to learn what a data lake is, its various benefits, and what's to come.
If you need to use pagination in your Redis app, there are a couple of strategies you can use to achieve the necessary functionality. While pagination can be challenging, a quick overview of each of these techniques should be helpful in making your job of choosing a method and implementing it a little easier.
System logs are now being generated from more sources than ever, each one as crucial as the last. Can traditional processing and architecture handle this growing and changing scale? Or is there a better fit?
Service virtualization enables our organization to obtain a virtual service layer that is more cost effective, flexible, and able to deliver applications faster to market. Read on and hear about our experience.
In this article, we will talk about Redis (REmote DIctionary Server). Redis is an open source, in-memory, key value store. It is also referred to as a dictionary server as the key values are not only strings, but also hashes, sets, lists, and sorted sets. Read on for more details.
Learn all about transaction management using Spring, and explore what transaction management is, how to effectively tackle this in Spring, and various tips.
Redis server provides many popular data structures like map, list, set... In practice, however, you may face more complicated requirements, such as storing several values per key, for example. The best practice for that would be implementing the Multimap.
CORE
