Operations | Monitoring | ITSM | DevOps | Cloud

Over £2 billion has been earmarked for the IT modernisation of the NHS. Let's explore some of what this means for IT teams and how Redgate can help. The NHS, England’s national health service, has always been a marvel – a complex, interwoven system delivering life-saving care to millions. But behind the clinical brilliance lies an equally intricate network of databases, servers, and IT systems that keep the whole operation humming.

GenAI is everywhere, and it’s changing how we approach technology. If you’ve ever wanted to dive into the world of large language models (LLMs) but felt intimidated, there’s good news! Hugging Face recently launched a self-paced course that’s perfect for beginners and more experienced enthusiasts alike. It’s hands-on, approachable, and designed to work on standard hardware thanks to the small footprint of the models.

It’s time to stop proclaiming that “cloud native is the future”. Kubernetes has just celebrated its 10 year anniversary, and 76% of respondents to the latest CNCF Annual Survey reported that they have adopted cloud native technologies, like containers, for much or all of their production development and deployment. Cloud native isn’t the future – it’s here and now. Data-intensive workloads are no exception.

Following up on his discussion at IDPCON, Lou Bichard, Product Manager at Gitpod, revisits the topic of the developer inner loop. Lou Bichard|

Connecting Python projects to Oracle databases is an essential step for many workflows, but the process can feel unnecessarily tedious. Dependency-heavy setups, complex setup files like tnsnames.ora, and platform compatibility issues can make even straightforward projects frustratingly complex. To keep workflows running well, developers must discover a reliable and effective approach to connect Python to Oracle.

Understanding and managing the impact of Kubernetes changes is one of the biggest challenges for modern DevOps teams. Every modification to a manifest, whether it’s adjusting memory limits, tweaking CPU allocations, or updating container images, has the potential to destabilize services or degrade performance.