Operations | Monitoring | ITSM | DevOps | Cloud

Let’s be honest. When you see an alert pop up on your phone, you aren’t thinking “according to section 12 of our most recent SRE handbook used at training 6 months ago I need to keep in mind who should be Incident Commander and who should be Ops Lead”. You’re an engineer at heart.

In today’s digital age, organizations across industries are increasingly reliant on technology for their operations, communication, and data management. While this technological advancement is no doubt beneficial, it also brings with it a heightened risk of cyber threats and attacks. From data breaches and ransomware attacks to intellectual property theft and financial fraud, the consequences of a cybersecurity breach can be devastating for any organization.

In the realm of virtualisation and cloud computing, the hypervisor is a critical component that enables the seamless operation of multiple virtual machines (VMs) on a single host. While virtualisation is a technology, the hypervisor is its actual implementation. In this beginner’s guide, we will explore the fundamentals of hypervisors, their types, and how they differ from container runtimes. We will also review some of the leading hypervisors available today.

APIs (Application Programming Interfaces) have been around for decades, but although the concept emerged as far back as the 1940s, it wasn’t until the early 2000s and the efforts of eBay, Salesforce, and Amazon that really put them on the map. APIs today are ubiquitous - any company developing software will likely have an API for customers and partners - and research suggests the majority of enterprises consuming APIs are focused on strategies for easier consumption and management of APIs.

In today’s digital world, where data is considered the new oil, organizations are consistently looking for efficient ways to store and manage their invaluable information assets. Microsoft’s Azure Files and Windows Server are two technologies at the forefront of this technological evolution.

The SPACE framework is an acronym for an approach to measuring, understanding, and optimizing engineering productivity. Outlined by researchers from GitHub, Microsoft, and the University of Victoria, it encourages leaders to look at productivity holistically, placing leading metrics in context with each other and linking them to output, often team goals, rather than individual effort. The SPACE framework breaks productivity into five metrics.

By now FinOps has proven its value — so much so that the web is full of helpful in-depth guides, broad overviews, bite-sized articles, and resource lists on the subject. But if you're preparing to pitch a FinOps program at your company, you need to convey only the most important points in a way that's both impactful and succinct. That's when it's time to call in the visuals.