DevOps IT methodologies are taking the development industry by storm. Some call DevOps great for software development. Others find it ideal for pushing out regular software updates and pursuing continuous delivery for ...

The annual Accelerate State of DevOps 2022 report published today by the DevOps Research and Assessment (DORA) team at Google found the percentage of high performers is at a four-year low, with ...

A team-based web development project is always a complex endeavor. It involves different developers with varying levels of experience, different fields of expertise, milestones to accomplish and a timeline to achieve. To ...

Developers spend much of their day digging into their systems' guts, allocating storage to an application, connecting the security system to the user interface and tracking which version of the application is ...

A crucial question that plagues cloud application developers is, “What kind of storage should we use for our app?” Unlike other choices like compute runtimes—Lambda/serverless, containers or virtual machines—data storage choice is ...

Odds are your business already uses cloud technology for automation, cybersecurity, IT infrastructure updates and other purposes. But you don’t have to stick to a single cloud server or provider. In fact, ...

Since the inception of the internet in 1983, many web development tools have been introduced to simplify complex processes that would otherwise take months to finish and cost companies a great deal ...

If you're creating a developer tool, you're bound to run into this dilemma—you know the inner workings of it really well, but others don't. And without solid documentation and samples to follow, ...

Software companies, especially young startups, are always in a development race – by definition, they are trying to maximize achievements and minimize their burn rate. That means development teams naturally face an ...

There's been a lot of buzz about time-series data for the past few years. No matter what you're monitoring—financial data, server performance, social media activity or something else entirely—time-series data can give ...

The way applications are created has changed dramatically in just a few short years. It’s now all about rapid assembly and integration; applications built using microservices and containerized. Containers and the cloud ...

Machine learning operations, or MLOps for short, is a key aspect of machine learning (ML) engineering that focuses on simplifying and accelerating the process of delivering ML models to production and maintaining ...