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

The Effects of Mixing Machine Learning and Human Judgment

In 1997 IBM’s Deep Blue software beat the World Chess Champion Garry Kasparov in a series of six matches. Since then, other programs have beaten human players in games ranging from Jeopardy to Go. Inspired by his loss, Kasparov decided in 2005 to test the success of Human+AI pairs in an online chess tournament.2

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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