Operations | Monitoring | ITSM | DevOps | Cloud

As UK public sector bodies, financial institutions, and enterprises accelerate cloud adoption, a pivotal question emerges: Who truly controls your data, and under which laws? With data breaches and regulatory scrutiny intensifying, storing data and workloads in a host country alone doesn't guarantee sovereignty. U.S.

This blog is based on the webinar, “Panel Discussion: Understanding the importance of GPUs for AI success”, you can watch the full recording by clicking here! Last week, we hosted a panel discussion surrounding the importance of GPUs for AI success that featured Kunal Kushwaha (Field CTO), Ben Norris (AI Engineer), and Kendall Miller (Strategic Business Development).

When you manage complex IT infrastructure, it becomes critical to use tooling to understand what’s happening across all of your systems in terms of performance, reliability, and compliance. Monitoring key indicators manually is simply no longer possible at that scale. Puppet has long been known as a solution for managing large environments and collecting a vast amount of data about your infrastructure, but accessing and visualizing that data in a meaningful way can be a challenge.

You know you’re bleeding money in the cloud. Maybe not everywhere, but enough to feel it. Your engineers know it too. You’ve got idle resources humming away, AI workloads scaling like wildfire, and nobody can quite explain why last month’s bill jumped by 17%. So, you bring up the idea of investing in a cloud cost optimization product. Cue the skeptical glance from your CFO.

Higher education institutions face unique cybersecurity challenges due to their complex networks, diverse user base and open academic environments. With thousands of students, staff and faculty members accessing resources from various locations and devices, universities must have visibility of what’s happening on their networks and robust and responsive cybersecurity protection to help safeguard them.

Microsoft Sentinel is a popular cloud-native SIEM, offering tight integration across Azure services, native machine learning models, and the scalability of Microsoft’s cloud infrastructure. It enables real-time threat detection and response across hybrid environments, making it a go-to solution for many enterprises embracing the Microsoft ecosystem. But like all modern SIEMs, Sentinel is only as effective as the data it ingests.

You rolled out a Java application that worked fine in development. Fast, clean, no errors. However, once it went into production, things began to change. Suddenly, the app feels slow. CPU usage climbs without warning. Some users start getting timeouts. You check the dashboards, but nothing jumps out. You look through the logs, but it's mostly noise. And then the questions start coming in - "Is the JVM the problem?" If you've been in that situation, you're not alone.

Kafka and Iceberg is a costly marriage of inconvenience. If you write code for a living you’ve probably heard of Apache Iceberg - but you might not realise the detour your Kafka events must take to get there. Typically a Kafka message written to an Iceberg table must take a journey via a connector, rack up transfer fees, and idle in a sidecar before it appears as an Iceberg table—hardly the friction‑free flow open table formats promise.