DEVOPSdigest

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 ...

In the cloud world, containers are the centerpoint of a growing majority of deployments. By providing compartmentalization of workloads and the ability to run "serverless," containers can speed up and secure deployments and create flexibility unreachable by old style application servers. While a variety of tools have been developed to meet this need, none are as impactful to the industry as Kubernetes. It has emerged as the de facto container orchestration tool for many companies ...

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 ...

In today's digitally driven work environment, leveraging technology to improve efficiencies is an essential component of any modern business. This is especially true for those in the business of software. As a business's software development life cycle (SDLC) continues to speed up, and more code is developed and deployed at a faster rate, testing that code for quality to ensure optimal user experience is critical. The SDLC is also only growing more complex, so finding ways to simplify and automate wherever possible are critical too. That's why a modern SDLC should start with software test automation ...

Migrating applications to the cloud is a complex process. It becomes even more complicated if the applications in question are business-critical, have been heavily customized, or run on IBM POWER hardware. Fortunately, IT can reduce risk during the migration process by planning and preparing data and applications in advance. Here's how ...

Tool fragmentation and sprawl stands also out as one of the primary obstacles to accelerating developer-led digital operations. Too many tools, especially ones that are not designed with developer workflows and integrations in mind, hinders productivity. Without a unified collaboration experience, and the customization, integration and security controls necessary, developers, and the broader R&D teams they serve, are left without the alignment, visibility, and control needed to truly accelerate digital operations. Here's a look at three collaboration tool must-haves to master digital developer collaboration ...