Machine Learning in Operations

We dive deep into logging, tracing, metrics, observability, with a specific filter for automation and systems and infrastructure. There's a real challenge here of how you capture information from a ...

1 Marras 202451min

Reference: https://en.wikipedia.org/wiki/Pebble-bed_reactor Do nuclear power and a potential renaissance in nuclear power, driven by the voracious power demands for data centers, have the potential o...

25 Loka 202448min

This TechOps episode explores the challenges of processing events and logs in technical operations. The discussion covers the importance of understanding the intent and purpose of building systems d...

18 Loka 202411min

In this episode, we dive deep into the emerging world of building and training small language models. We'll discuss the benefits, risks, and challenges companies face as they work to create more targe...

11 Loka 20241h

This podcast episode explores the challenges of process improvement in IT operations, using examples from data centers, automotive, and cybersecurity. The discussion covers the slow evolution of sec...

5 Loka 202456min

In this episode, we continue our TechOps series, diving deep into the topic of container management. As containers become increasingly mainstream, the need to effectively manage and orchestrate these ...

27 Syys 202450min

In this episode, we dive deep into a recent and highly sophisticated SSH intrusion attack that was discovered in the Linux kernel. We'll discuss how the attackers were able to inject a backdoor into a...

20 Syys 202417min

A software bill of materials is the idea that we can define and document exactly what goes into a system. We look at governance today and SBOMs as we put it together, both from a software and an opera...

13 Syys 202443min