This New Stack Makers podcast co-hosted by Adrian Cockroft, analyst at OrionX.net and TNS founder and publisher, Alex Williams discusses the importance of monitoring services utilizing Large Language Models (LLMs) and the emergence of tools like LangChain and LangSmith to address this need. Adrian Cockcroft, formerly of Netflix and now working with The New Stack, highlights the significance of monitoring AI apps using LLMs and the challenges posed by slow and expensive API calls from LLMs.

The New Monitoring for Services That Feed from LLMs

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Valkey, a Redis fork supported by the Linux Foundation, challenges Redis' new license. In this episode, Madelyn Olson, a lead contributor to the Valkey project and former Redis core contributor, along with Ping Xie, Staff Software Engineer at Google and Dmitry Polyakovsky, Consulting Member of Technical Staff at Oracle highlights concerns about the shift to a more restrictive license at Open Source Summit 2024 in Seattle .

Valkey: A Redis Fork with a Future

A virtual cluster, described by Loft Labs CEO Lukas Gentele at Kubecon + CloudNativeCon Paris, is a Kubernetes control plane running inside a container within another Kubernetes cluster. In this New Stack Makers episode, Gentele explained that this approach eliminates the need for numerous separate control planes, allowing VMs to run in lightweight, quickly deployable containers. Loft Labs' open-sourced vcluster technology enables virtual clusters to spin up in about six seconds, significantly faster than traditional Kubernetes clusters that can take over 30 minutes to start in services like Amazon EKS or Google GKE.

Kubernetes Gets Back to Scaling with Virtual Clusters

When Weaveworks, known for pioneering "GitOps," shut down, concerns arose about the future of Flux, a critical open-source project. However, Puja Abbassi, Giant Swarm's VP of Product, reassured Alex Williams, Founder and Publisher of The New Stack at Open Source Summit in Paris that Flux's maintenance is secure in this episode of The New Makers podcast.

How Giant Swarm Is Helping to Support the Future of Flux

The use of large language models (LLMs) has become widespread, but there are significant security risks associated with them. LLMs with millions or billions of parameters are complex and challenging to fully scrutinize, making them susceptible to exploitation by attackers who can find loopholes or vulnerabilities. On an episode of The New Stack Makers, Chris Pirillo, Tech Evangelist and Lance Seidman, Backend Engineer at Atomic Form discussed these security challenges, emphasizing the need for human oversight to protect AI systems.

AI, LLMs and Security: How to Deal with the New Threats

The Kubernetes community primarily focuses on improving the development and operations experience for applications and infrastructure, emphasizing DevOps and developer-centric approaches. In contrast, the data science community historically moved at a slower pace. However, with the emergence of the AI engineer persona, the pace of advancement in data science has accelerated significantly. 

Alex Williams, founder and publisher of The New Stack co-hosted a discussion with Sanjeev Mohan, an independent analyst, which highlighted the challenges faced by data-related tasks on Kubernetes due to the stateful nature of data. Unlike applications, restarting a database node after a failure may lead to inconsistent states and data loss. This discrepancy in pace and needs between developers and data scientists led to Kubernetes and the Cloud Native Computing Foundation initially overlooking data science.

The New Monitoring for Services That Feed from LLMs

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