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Improving LLMs in Production With Observability

Quickly: if you’re interested in observability for LLMs, we’d love to talk to you! And now for our regularly scheduled content: In early May, we released the first version of our new natural language querying interface, Query Assistant. We also talked a lot about the hard stuff we encountered when building and releasing this feature to all Honeycomb customers. But what we didn’t talk about was how we know how our use of an LLM is doing in production!

AI vs. AI: The Future of Cyber Security Podcast Ep. 14

Welcome to Security Insights: where best-practice cybersecurity meets the real-world risks, workplaces, and roadblocks you face every day. Join Chris Goettl, head of Endpoint Security Product Management, and Ashley Stryker, your cybersecurity "rubber duck", as they review the security strategies and tactics that truly matter to the information security teams protecting organizations, agencies, and businesses like yours.

Webinar | Achieve lower TCO and keep full control of your data with Aiven's Bring Your Own Cloud

Learn how to get the most out of your public cloud infrastructure spend without losing control of your data. In this webinar, Chris Butler, Senior Solution Architect at Aiven, explains how Aiven’s Bring Your Own Cloud (BYOC) works and what are the benefits it provides.

Securing open source software with Platform One and Canonical

Our own Devin Breen and Mark Lewis discussed Securing Open Source Software with the Chairman of Iron Bank at USAF Platform One Zachary Burke at AWS Summit Washington, DC. The topic includes: Securing Open Source Software, Secure Minimal Containers, and Software Security Scanning.

Kubeflow vs MLFlow

Learn the main differences between the MLOps tools of choice: Kubeflow and MLFlow Started by Google a couple of years ago, Kubeflow is an end-to-end MLOps platform for AI at scale. Canonical has its own distribution, Charmed Kubeflow, which addresses the entire machine-learning lifecycle. Charmed Kubeflow is a suite of tools, such as Notebooks for training, Pipeline for automation, Katib for hyperparameter tuning or KServe for model serving and more. Charmed Kubeflow benefits from a wide range of integrations with other tools such as MLFlow, Spark, Grafana or Prometheus.

6 Tips For Teachers That Are Starting Work Online

In recent years, the world of education has witnessed a significant shift towards online teaching. With the advent of technology and the rise of virtual platforms, many teachers are finding themselves in a new and exciting realm of education. While the transition from traditional classrooms to online teaching may seem daunting, it presents a plethora of opportunities for both personal and professional growth. To help you navigate this new landscape successfully, we have compiled six essential tips for teachers who are starting work online.

Quickly create performance and regression tests from a Postman collection

Speedscale is a Y-Combinator backed startup that helps Kubernetes engineering teams build more resilient and performant containerized apps. Unlike other tools, we use agents/sidecars to record and playback sanitized traffic that you see in prod. With Speedscale, engineers can simulate production conditions, generate load, and mock third party backends modeled after real traffic patterns.