What a wild week, eh? I’m going my daughter’s school play tonight and looking forward to a sunny weekend. But don’t check out for the weekend until you skim the links below.
[blog] Announcing general availability of Google Vids: Our new AI-powered video creation app for work to help tell stories across your organization. Take a look at this! If you’ve had issues engaging with teammates or customers via text, maybe a video will work better.
[blog] Fast, Secure, and Simple: Istio’s Ambient Mode Reaches General Availability in v1.24. If you dismissed the first generation of service meshes like Istio because they were too complicated, I get it. But now Istio is worth a second look. This sidecar-less mode is much simpler and more scalable.
[blog] Gemini is now accessible from the OpenAI Library. It just got a LOT easier to hot swap models if you started with Open AI’s offerings.
[blog] Empowering Engineers with AI. The Slack team goes into some depth on the types of AI-assisted tools and experiences they’ve delivered to their engineers.
[blog] Late Chunking In Long Context Embedding Models. Don’t go to any parties this weekend and start off by dropping some “late chunking” knowledge on anyone. You have to ease into it.
[blog] Etsy’s Service Platform on Cloud Run cuts deployment time from days to under an hour. It’s faster to lift-and-shift to cloud, but the payoff is rarely awesome. Etsy changed how they built and delivered software, and the results are solid.
[article] Why CX is becoming the new priority for CIOs. I’m glad customer experience is a top priority. This shift will help internal tech teams see themselves as business accelerators, not a cost center.
[article] Datadog ups revenue forecasts after AI growth, sniffs out new federal customer. There’s money in observability! Just make sure that as you store and spend more, you’re getting commiserate value.
[blog] How to deploy and serve multi-host gen AI large open models over GKE. Can you build out a pool of infrastructure that helps serve these giant LLMs that demand 100s of GBs of memory? With Kubernetes, it’s now easier.
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