Top DevOps tools that you must use in 2019 and beyond

Top DevOps tools that you must use in 2019 and beyond

  • October 5, 2019
Table of Contents

Top DevOps tools that you must use in 2019 and beyond

DevOps continues its steady growth throughout 2019 and beyond. Here are some highly recommended tools for you and your team to check out and implement into DevOps strategies. Find out exactly what you need for your specific use cases and goals.

Have you tested them out? Finding the best DevOps tool is something that will take some experimentation and testing. Like previous years, DevOps is predicted for healthy growth in 2019 and beyond.

In fact, IDC, the premier global market intelligence firm, has forecasted the globe DevOps software market to reach will reach $8 billion by 2022, which is an increase from $3.9 billion in 2017.

Source: jaxenter.com

Share :
comments powered by Disqus

Related Posts

Speak to me: How voice commerce is revolutionizing commerce

Speak to me: How voice commerce is revolutionizing commerce

We’ve seen profound advances in technology, especially with the development of artificial intelligence and deep learning which are increasingly for voice assistants. This, in turn, promises to bring about huge changes in consumer behavior — what’s being called “voice commerce”. This is a new channel, governed by a new set of rules.

Read More
Understanding Convolutional Neural Networks

Understanding Convolutional Neural Networks

A Convolutional Neural Network (CNN) is a class of deep, feed-forward artificial neural networks most commonly applied to analyzing visual imagery. The architecture of these networks was loosely inspired by biological neurons that communicate with each other and generate outputs dependent on the inputs. Though work on CNNs started in the early 1980s, they only became popular with recent technology advancements and computational capabilities that allow the processing of large amounts of data and the training of sophisticated algorithms in a reasonable amount of time.

Read More
Powered by AI: Oculus Insight

Powered by AI: Oculus Insight

To unlock the full potential of virtual reality (VR) and augmented reality (AR) experiences, the technology needs to work anywhere, adapting to the spaces where people live and how they move within those real-world environments. When we developed Oculus Quest, the first all-in-one, completely wire-free VR gaming system, we knew we needed positional tracking that was precise, accurate, and available in real time — within the confines of a standalone headset, meaning it had to be compact and energy efficient. At last year’s Oculus Connect event we shared some details about Oculus Insight, the cutting-edge technology that powers both Quest and Rift S. Now that both of those products are available, we’re providing a deeper look at the AI systems and techniques that power this VR technology.

Read More