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Feds seize seven websites involved in the “pig butchering” crypto scam

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Best practices for cost-efficient Kafka clusters
In today's data-driven world, Apache Kafka has emerged as a cornerstone of modern data streaming, particularly with the rise of AI and the immense volumes of data it generates....

At scale, anything that could fail definitely will
On today’s episode, we chat with Pradeep Vincent, Senior Vice President and Chief Technical Architect for Oracle Cloud Infrastructure, or OCI for short. He shares experiences from his time as an eng...

Mobile Observability: monitoring performance through cracked screens, old batteries, and crappy Wi-Fi
Today we chat with Austin Emmons, an iOS developer at Embrace, where he spent time rebuilding their SDK to work with OpenTelemetry. He discusses the challenge of tracking performance and watching for ...

Where does Postgres fit in a world of GenAI and vector databases?
Today we chat with Avthar Sewrathan, AI Lead at Timescale, about adapting developers’ favorite database management system, Postgres, to support a range of new technologies involved in the GenAI ecos...

From PHP to JavaScript to Kubernetes: how one backend engineer evolved over time
On today’s episode, we chat with a listener, Geshan Manandhar, who has been working in the world of software engineering for two decades. He started programming in Kathmandu during the days of dial-...

LLMs evolve quickly. Their underlying architecture, not so much.
The decoder-only transformer architecture is one of the most fundamental ideas in AI research....

Ryan Dahl explains why Deno had to evolve with version 2.0
On today’s episode, we chat with Ryan Dahl, creator of Node.js and Deno. He explains why he feels the first version of Deno has reached certain limits and what he and his team are doing with Deno 2....

Battling ticket bots and untangling taxes at the frontiers of e-commerce
On today's episode we chat with Ilya Grigorik, a Distinguished Engineer and Technical Advisor to the CEO at Shopify. From battling hordes of bots trying to scalp seats before humans can get their hand...

Practical tips for retrieval-augmented generation (RAG)
Retrieval-augmented generation (RAG) is one of the best (and easiest) ways to specialize an LLM over your own data, but successfully applying RAG in practice involves more than just stitching together...

Navigating cities of code with Norris Numbers
Settling down in a new city (or codebase) is a marathon, not a sprint....

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