I’ve seen lots of product announcements this week! How do you all keep track of everything going on? Or do you? I’m always curious as to how people stay up to date on what’s new and interesting.
[paper] Evaluating Large Language Models: A Comprehensive Survey. How are you deciding which LLM is right for you and your use case? This paper proposes a handful of dimensions to consider.
[article] Product/Market Fit: Experience & Data. Read this for an extended take on product/market fit that focuses on what might indicate that you have a false fit.
[blog] GKE Enterprise, the next evolution of container platforms, is now generally available. GKE is what Kubernetes should look like everywhere: hyper-managed and useful for one cluster or one thousand clusters. The new Enterprise version offers a lot of value.
[blog] Slog: Zero-dependency structured logging in Go. This is a standard library for Go as of version 1.21, and this post walks you through lots of details on how to use it.
[article] Tales of Kafka @Cloudflare: Lessons Learnt on the Way to 1 Trillion Messages. Video and transcript about Cloudflare’s usage of Apache Kafka.
[blog] Kafka migration from on-prem to Confluent. Good walkthrough of the various steps to get into a managed Kafka experience in the cloud.
[blog] Announcing Cloud TPU v5e GA for cost-efficient AI model training and inference. TPUs are an impressive option for those training or serving models. v5 is here.
[blog] Google Cloud demonstrates the world’s largest distributed training job for large language models across 50000+ TPU v5e chips. That’s … a lot of compute power. GKE, FTW.
[blog] Universe 2023: Copilot transforms GitHub into the AI-powered developer platform. Some strong releases and foreshadowing of future plans from the GitHub crew. Many of these look like things we’ve talked about with Duet AI, and it’s going to be fun for us all to make it a reality.
[blog] CNCF GitOps microsurvey: learning on the job as GitOps goes mainstream. This survey shouldn’t be taken as a lens on the market as a whole (too small, likely superfans participating) but it does give insight into what folks hope to get out of a GitOps-style approach.
[blog] Do Superachievers Read Business Books? Experience matters, and so does consuming a wide range of material about things you haven’t experienced. You’ll never be worse off by reading more.
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