Operations | Monitoring | ITSM | DevOps | Cloud

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|

For financial institutions across the EU, and for organisations that do business with these institutions, Digital Operational Resilience Act (DORA) compliance is no longer a “nice to have” — it’s mandatory. No matter how you’re currently meeting and maintaining compliance with the DORA regulation, automation can improve efficiency and effectiveness of the controls you use to stay DORA-compliant.

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.

For IT teams seeking speed and agility, agentless monitoring offers a lightweight approach. This is particularly useful for Microsoft servers like Windows Nano Server, where resources may be constrained, or in environments where gaining approval for agent installations could be a hurdle. An agentless Microsoft monitoring tool is ideal if: However, there are limitations.

Managing a complex IT environment with both on-premises data centers and multiple cloud platforms (Azure, AWS, Google Cloud) brings a unique set of challenges. Commvault’s cloud operations team, led by Ernie Costa, was well aware of the high-performance systems running on technologies like Hyper-V and NVMe storage. In these systems, even a second’s delay could mean missed opportunities to prevent incidents or optimize performance.

Instead of sifting through mountains of metrics across different network types, what if you had an AI-powered tool that could display all the necessary insights in an easy-to-understand format?