DevOps 101

The economic downturn, pandemic management challenges, supply constraints and the ongoing Russian-Ukraine war have led to layoffs in many industries. While these events also impact the technology industry, it does not necessarily ...

Fuzz testing continues to grow in popularity among developers within the open source community. Google’s open source security (OSS) team recently reported finding more than 40,000 bugs in 650 open source projects ...

A survey of 93 developers conducted by the Cloud Native Computing Foundation (CNCF) found more than a quarter (28%) are using WebAssembly (Wasm) in their cloud-native development projects, with another 36% planning ...

When organizations begin using DevOps for application development, many only reference DevOps as part of their infrastructure and select a subset of DevOps before understanding the cultural and process changes needed for success ...

Microservices are frequently referred to as a variant or derivative of service-oriented architecture (SOA), if not essentially the same thing. While there are similarities and both are designed around the concept of ...

For those who are new developers, you may not know a lot about application programming interfaces (APIs). However, it is likely that you’ve used them before as a consumer or an end ...

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 ...

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 ...

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 ...

Working in the software field, it's not uncommon for engineers to refer to different "layers." Perhaps you're working with protocols at the "networking layer" or evaluating a solution that sits at "Layer ...

Let’s face it, tools for infrastructure-as-code (IaC) configuration management may be vital, but they’re difficult to use. But what if it’s not so much the tools themselves as it is our understanding ...