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#devops

Not an easy skill

Applying machine learning to DevOps

How can developers learn to utilize machine learning in their DevOps practice? In this article, Prasanthi Korada goes over some basic approaches that can help developers apply cutting edge tech like machine learning to their everyday work.

Up for grabs

JAX Magazine is out: It’s onwards and upwards for Java

Java 10 was “the fastest in Java’s 23-year history” and now we’re just one month away from Java 11 so it’s not far-fetched to say that Java’s new chapter is exciting. This issue depicts Java’s new journey but it’s not (just) an ode to this 23-year-old programing language; if you’re a DevOps aficionado or expert, you’ll surely enjoy the second part.

Microservices, DevOps, serverless: All the "juicy" keywords

Transformational cloud technology developments you can’t ignore

The rapid evolution of cloud development technologies is enabling enterprises to deploy services more reliably, scale them, and change them more rapidly. At the same time, failure to keep up with this evolution can rapidly lead to ending up with a brittle cloud implementation. In this article, John Mathon talks about the transformational cloud technology developments enterprises cannot afford to ignore.

Crossing the divide from theory to reality

Studio.ML bridges the gap between data scientists & DevOps engineers

There are a number of issues that arise when data scientists and ML researchers meet DevOps to try to deploy, audit, and maintain state-of-the-art AI models in a production and commercial environment. Peter Zhokhov and Arshak Navruzyan discuss a new open source software tool called Studio.ML, which offers a number of solutions to this problem.

Biz + Devs + Ops = Success!

DevOps becomes BizDevOps: 4 steps to add more value to your work

DevOps’ full potential can only be achieved if development and operations work together with the specialist departments and management on a value adding product. Instead of DevOps, it should be called BizDevOps. Sebastian Schulze and Jacob Tiedemann explain how the integration of business and DevOps changes the cooperation, organization, and processes of companies.

Why containers are growing

Monitoring container-based applications: Why you need a different approach

Companies are deploying cloud-native applications to meet their business requirements. Whether it is speed, scalability or new functionality, containers offer a route to achieving these goals faster and more efficiently to manage the cost of change for developers and operational stakeholders. However, are we aware of the challenges as well?

Interview with Tim Mackey [VIDEO]

AppSec at the speed of DevOps in the age of open source

In the world of DevOps, traditional application security is no longer enough. How can we improve AppSec? What are the newest security challenges that arise as DevOps becomes more mature? JAXenter editor Gabriela Motroc caught up with Tim Mackey, technical evangelist for Black Duck by Synopsys at DevOpsCon 2018 to talk about all this and more.

Watch Helen Beal's JAX London 2017 session

DevOps-driven development and delivery

How many of you are familiar with terms like test, value or behavior-driven development? In this talk, Helen Beal goes over these terms and dives into DevOps-driven development and delivery.

Get a professional opinion on the matter

If you’re ignoring DevOps, you’re wasting money

As the business value of DevOps has come around as quite profound an impact, DevOps consulting companies have gained momentum. In this article, Ajeet Singh goes through the challenges you face without DevOps.

Become a mean DevOps machine

How to make DevOps work for you: Developer’s cheat sheet

Change is never easy. More and more companies, however, are interested in adopting the DevOps model. In this article, Rami Sass, CEO and co-founder of WhiteSource puts together a cheat sheet of tools and practices that can help your team become a lean, mean, DevOps machine.