Operations | Monitoring | ITSM | DevOps | Cloud

As individuals become increasingly conscious of their personal data and how it is used, compliance with data protection regulations is a top priority for organizations worldwide. However, a challenge arose with cross-border transfers of personal data between the EU and the US following the Schrems II ruling by the Court of Justice of the European Union, leading to the creation of a new privacy framework.

Monitoring systems are invaluable for detecting incidents before they spiral into catastrophes. However, there's a hidden danger lurking within even the most robust monitoring setups: false alarms. When systems are overly sensitive, they raise alerts for incidents that don't actually exist. While this may seem harmless on the surface, hyper-sensitive monitoring can quietly drain time, money, and morale in ways that only become apparent over time.

Incident management isn't just about technology; it's about people too! Understanding the human factors—psychology, communication, and team dynamics—is just as crucial. Let's explore how these elements are essential in incident management.

$1.81 trillion—that’s how much software operational failures cost US companies in 2022. But you can avoid such software mishaps. How? With robust incident management! However, running an incident management is no easy feat. It comes with its fair share of challenges. The following are some typical problems you might face when managing incidents: Let’s dive into the nitty-gritty of what causes these problems, their consequences, and how to fix them.

Edge AI is transforming the way that devices interact with data centres, challenging organisations to stay up to speed with the latest innovations. From AI-powered healthcare instruments to autonomous vehicles, there are plenty of use cases that benefit from artificial intelligence on edge computing. This blog will dive into the topic, capturing key considerations when starting an edge AI project, main benefits, challenges and how open source fits into the picture.

Efficient code can be defined by numerous factors, in addition to what others deem necessary based on their experiences. Per this article, we will define it as: Measuring and comparing your code on its design, optimization, and performance; while considering its use cases, compute resources, quality, scalability, and structure. Along with our definition, it is important to understand some key concepts before we dive further into some best practices and additional support to contextualize our definition.