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Terraform MCP server: Four real-world AI infrastructure patterns

Photo by Steve A Johnson on Unsplash

80.1 million requests per second on DynamoDB

Amazon Live and IVS on Prime Day Throughout Prime Day 2020, Amazon customers were able to shop from livestreams through Amazon Live. Shoppers were also able to use live chat to interact with influencers and hosts in real time. They were able to ask questions, share their experiences, and get a better feel for products of interest to them.

Why Linkerd doesn’t use Envoy

Why Linkerd doesn’t use Envoy In this article I’m going to describe why Linkerd isn’t built on Envoy. This is a bit of a weird article to write.

China Has Launched the World’s First 6G Satellite. We Don’t Even Know What 6G Is Yet.

Apache Kafka: 8 things to check before going live

Apache Kafka is a beautiful system. It scales well, it is stable and it provides phenomenal system architecture flexibility. After 5 years of running production Kafka clusters, I have collected a list of tips and pitfalls.

Why we switched from Spacy to Flair to anonymize French legal cases

gRPC in the Real World: The Kubernetes Container Runtime Interface

Nokia wins NASA contract to put a 4G network on the moon

Kubernetes Ingress goes GA

After a long time in beta, Kubernetes Ingress has gone GA in 1.19. Read more about how it impacts you, and your Ingress Controllers here

Cost Engineering at Spotify

Like many of those in tech, we invest heavily in our cloud and data infrastructure. While seemingly routine, the ability to manage and scale our infrastructure to support our 299+ million listeners worldwide, 24/7, without missing a beat (or syllable) is crucial for the business and our brand. On top of that, our infrastructure teams are resolute when it comes to upholding a highly valued cultural goal: enabling our autonomous engineering teams (called squads) to work as freely and quickly as they possibly can.