A bitmap is the data structure that immediately pops in your head when there's a need to map boolean information for a huge domain into a compact representation. It is a very popular data structure whenever memory space is at a premium. Redis, being an in-memory data structure server, provides support for bit manipulation operations. Read on for more details.
Service discovery is vital in large system deployments. Learn how to use Docker and Consul to help your deployments run more smoothly and get home at a decent hour.
In this IoT Arduino programming tutorial, the Arduino board is connected to a set of sensors and an ethernet shield. Sensors used in this IoT Arduino programming project are:
In this blog post, we will we will focus on satisfying a Consumer-Producer problem which demonstrates our problem and how using Redis as a Task Queue can solve this.
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?
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