AI/ML

November 16, 2022

The future of DevOps is bright and the opportunities to utilize cutting edge artificial intelligence (AI) and machine learning (ML) applications of these technologies will only further enhance its adoption ...

August 16, 2022

As digitalization continues pushing applications and services to the cloud, many companies discover that traditional security, compliance and observability approaches do not transfer directly to cloud-native architectures. This is the primary takeaway from Tigera's recent The State of Cloud-Native Security report ...

July 26, 2022

Looking at the world of emerging technologies, artificial intelligence (AI) appears to be the next technology on the cusp of breaking into the mainstream, thanks to the development and growing proliferation of no-code AI. A code-free technology that enables non-AI experts to implement and test their ideas without any need for a data scientist, no-code AI will prove to be a democratizing force within the AI industry enabling greater accessibility and use by businesses outside of the Fortune 100 ...

June 29, 2022

Machine learning operations (MLOps), combining ML and software engineering, are becoming more mainstream and intend to improve the quality and speed of delivering ML models to production. Business leaders are missing out on many opportunities without proper MLOps platforms in place. So, how can companies get started? ...

June 29, 2022

The first learning from big tech is: Most large companies — wanting to adopt AI — hire teams to build internal platforms for ML practitioners. But these data scientists or ML engineers are often not familiar with enterprise software engineering. Expecting them to learn is feasible but inefficient, which is where MLOps platforms come in ...

June 23, 2022

As DevOps transformations move enterprise organizations to the cloud, Cloud AI Developer Services help elevate and advance the software development lifecycle. By definition, Cloud AI developer Services (CAIDS) are "cloud-hosted services/models that allow development teams to leverage AI models via APIs. Some of the ways that CAIDS provide support to engineering teams include ...

April 21, 2022

Leading organizations around the world are adopting cloud native technologies to build next- generation products and achieve the agility that they need to stay ahead of their competition. Although cloud native and Kubernetes are very disruptive technologies, there is another technology that is probably the most disruptive technology of our generation — artificial intelligence (AI) and its subset, machine learning (ML) ...

April 18, 2022

Over the past few decades, artificial intelligence (AI) has gone from a sci-fi concept to an everyday reality. But just how valuable and useful has AI been when it comes to customer service? Applause recently conducted a survey on the topic, which looked into the use of AI for voice applications, such as chatbots, interactive voice response (IVR), and other conversational AI-assistants. Here's what we uncovered ...

March 31, 2022

This year and every year come down to how we can raise the bar with and for developers. In software development, there are many areas that are working well and some that have room for improvement. Let's dive right into predictions for DevOps in 2022 (and beyond) ...

March 24, 2022

Each year, O'Reilly Media analyzes annual trends in technology usage to help the developer community stay abreast of emerging technology areas — whether it's learning about software architecture for the cloud, mastering new languages to support cryptocurrency or productizing artificial intelligence (AI). By evaluating the top search terms, targeted questions and content usage on our learning platform, we're able to share insights into the top trends influencing software development — insights that empower software developers, data scientists and other practitioners to begin the hard work of taking emerging technologies and deploying them as real-world solutions ...

December 07, 2021

The Holiday Season means it is time for DEVOPSdigest's annual list of DevOps predictions. Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how DevOps and related technologies will evolve and impact business in 2022 ...

December 01, 2021

Transformative technologies like Artificial Intelligence (AI) and Machine Learning (ML) have changed the way we perceive DevOps. They have transformed the DevOps environment in such a way that execution of processes like data analysis and management has not only become simpler but also faster. Not to mention, these next-level solutions help users speed up their software development cycle, thus ensuring faster time-to-value ...

November 22, 2021

From facial recognition to self-driving cars, Artificial Intelligence (AI) and machine learning (ML) have become commonplace for many industries in recent years. In parallel, the software development industry has undergone a transformation of its own ...

June 09, 2021

In 2020, while a pandemic raged and teams everywhere learned how to work remotely, something rather unexpected happened to DevOps: it grew up. Teams stopped talking about DevOps and simply started doing DevOps, bringing in "big guns" technologies, new ways of thinking, and making huge breakthroughs in everything from release times to automation, new technology adoption and code quality ...

May 27, 2021

Agile philosophy always puts people over the processes, thus more and more companies nowadays want to hire specialists with strong soft skills, because they are much harder to develop than closing some technical gaps that come with the experience. So here we go with the top 5 soft skills that are critical for a developer working in Agile environments ...

March 01, 2021

2020 was one of the most transformative years for software testing to date. Teams were forced to adapt to completely new work environments and learn to develop, test and innovate at warp speed. At Perfecto by Perforce, we were intrigued by the rollercoaster that was 2020 and wanted to glean more insights into the unique testing trends and challenges that surfaced as a result. As such, we surveyed more than 700 DevOps professionals for our 2021 State of Test Automation Report ...

February 24, 2021

There are several forces that are going to impact this field that we'll see in 2021. Let's get a peek into DevOps' future with an eye on some trends that have already shown up ...

February 01, 2021

Developers today are faced with the hard reality that modernizing systems is more than simply moving technology to a new location. Rather, they are expected to be intimately familiar with a host of new-generation technologies while simultaneously managing existing legacy systems as they migrate to an infrastructure that is more responsive, predictive, and scalable. Looking ahead to 2021, let's review the trends surrounding the most challenging, yet promising, topics in infrastructure and operations: Kubernetes, site reliability engineering, security, and more ...

November 02, 2020

Artificial intelligence (AI) has revolutionized almost every industry and few areas of life remain untouched by the technology. It has begun to shape the software development process and software developers can now use AI to write and review code, test software and detect bugs. Let's take a dive into just a few of the many areas of software development that have all been impacted by AI, such as DevOps, tooling and algorithms ...

September 10, 2020

The entire objective of DevOps was to bring myriad cultural philosophies, practices, and tools under the same roof so that organizations could deliver applications, products, and services at high velocity — to better serve their customers and gain a competitive edge. However, in truth, adopting a DevOps approach, and to capitalize on its benefits, offers a multitude of concerns — it's easier said than done ...

April 21, 2020

Organizations are giving increasing attention to data quality. This doesn't come as a surprise — data is a valuable commodity that is quickly proving its worth in a growing number of cloud-native applications to make decisions about product development, how to market to customers, and more. However, for data to be beneficial, it needs to be high quality. Without high quality data, organizations run the risk of making costly decisions, or missing opportunities that make them fall behind their competitors ...

April 09, 2020

Advances in GPU/TPU technology, and the development of new platforms and frameworks have enabled an explosion in AI and Machine Learning, while new platforms from Amazon, Microsoft and others have put pre-built frameworks firmly in the grasp of developers. Despite all this movement, however, we are still definitely very early in the transition to using AI to transform software development — commonly referred to as Software 2.0, or AIOps ...

January 09, 2020

With companies of all sizes right from upcoming startups to well-established enterprises incorporating DevOps practices into their workflows, it is intriguing to uncover what the future of DevOps is going to look like ...

October 10, 2019

Given the collaborative, transparent nature of open source software, one of the best ways to determine what's driving the industry — and what stands to impact it in years to come — is to simply notice what everyone is talking about. In reviewing the speaker proposal data from O'Reilly's Open Source Software Conference (OSCON), we were able to determine how interest in popular open source software topics have evolved, how industry professionals are approaching and interpreting them, and which tools are becoming increasingly prevalent. Below are three core findings that are indicative of where open source software is headed ...

June 25, 2019

DevOps thrives on automation, and it's clear why: manual processes are slow, error-prone, and inconsistent. In practice, automation rates, especially for testing, are very low, so achieving effective test automation can be challenging, but there are steps that you can take to increase test automation in your organization ...

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