Top DevOps tools that you must use in 2019 and beyond

October 5, 2019

Table of Contents

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

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.

Introducing LCA: Loss Change Allocation for Neural Network Training

Neural networks (NNs) have become prolific over the last decade and now power machine learning across the industry. At Uber, we use NNs for a variety of purposes, including detecting and predicting object motion for self-driving vehicles, responding more quickly to customers, and building better maps. While many NNs perform quite well at their tasks, networks are fundamentally complex systems, and their training and operation is still poorly understood.

Top DevOps tools that you must use in 2019 and beyond

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