Operations | Monitoring | ITSM | DevOps | Cloud

Getting more clients or adding a new service may sound like all it takes to expand your business, right? The truth is that expansion requires refining every aspect of your business’s operations and adopting a proactive approach to growth. There are several factors to consider when deciding to scale your business, including the cost of required software, resources needed to train technicians, and the cost of advertising the new service.

End-to-end testing is a critical process in software development that ensures the reliability and functionality of an application. However, setting up and managing end-to-end testing workflows can be challenging, often requiring complex infrastructure and time-consuming maintenance. This is where ephemeral environments come in.

If you're a software engineer working with Kubernetes, you know how vital it is to have accurate, real-time information about your applications and resources. With StackState's dynamic Kubernetes observability dashboards, you can now access all the essential data you need for troubleshooting on a single screen. In this blog post, we'll discuss the key features of these dashboards, why they're valuable and how to get started with them.

Virtualization has become an essential aspect of modern computing. By creating a virtual version of a computing resource, such as hardware, storage, or an entire operating system, virtualization allows businesses to optimize resource utilization, streamline management, and reduce costs. Two of the most popular virtualization platforms in the market are Microsoft’s Hyper-V and VMware’s vSphere.

As engineers, we tend to pride ourselves on building a production-first mindset and operational excellence. According to a recent survey, 74% of executives believe that AI will deliver more efficient business processes, while 55% think that AI will help develop new business models and create new products and services. However, the reality is that 85% of ML projects fail to deliver, and 53% of machine learning prototypes don't make it to production.

In part one of this series, we looked at what is a dependency, different types of dependencies, and their benefits in our code. In part two, we’ll look at the risks of using dependencies. Whenever we add a dependency we are increasing the risks of any software development cycle.

In the modern business landscape, the recent surge in cloud computing has become a game-changer, fundamentally altering how organizations manage their IT infrastructure. As businesses increasingly embrace digital transformation, migrating services and applications to the cloud has emerged as a crucial factor in guaranteeing scalability, flexibility, and cost efficiency.

The direction of travel for business technology is one-way. The momentum towards strategies around decentralised, hybrid technologies is unstoppable. Examples abound, from the composable software stacks of e-commerce to the ongoing death of monolithic ERP. Modern, digitally-driven business is based on a dynamic alignment of resources, data and technology at the granular level, which is then coordinated precisely.