FAUN Weekly #438: Why Facebook Doesn't Use Git, How to Run Llama 3.1, and the Musk/Trump Interview's Immediate Tech Disaster on X

FAUN Weekly #438: Why Facebook Doesn't Use Git, How to Run Llama 3.1, and the Musk/Trump Interview's Immediate Tech Disaster on X

?? Our FAUN Weekly Newsletters are back on LinkedIn! Starting now, we'll be posting regularly, bringing you the latest insights, updates, and expert content every week. Make sure to follow along and stay informed with the best in tech, DevOps, and beyond! ??


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? Patrons

Mastering Observability in AWS: From Data Collection to Cost Control

In the fast-paced world of cloud-native development, efficient troubleshooting, and monitoring is crucial for maintaining application performance and user satisfaction. Join us to learn about the tangible benefits Jit experienced, including higher operational efficiency, improved error resolution times, and a more reliable user experience.


?? From FAUNers

Nitric is Terraform for Developers

Terraform has been around for a decade, known for its declarative approach to infrastructure engineering and executable documentation. With the emergence of Infrastructure from Code (IfC), tools like Nitric SDK allow developers to document application requirements in a clear, concise, and executable fashion. By using a single highly declarative format with Nitric CLI, developers can easily capture infrastructure specifications in a JSON document for various cloud platforms and IaC technologies.




??? Run Llama 3.1: 8B — 70B — 450B

Meta has released Llama version 3.1 in three different models: 8B, 70B, and 405B, each with its own strengths and capabilities. Users can access the 8B model via the Ollama platform, while Groq hosts the 70B model accessible through their website or API. Hugging Face offers the model for use in Google Colab notebooks, and Together AI provides a chat completion API for the latest Llama versions.




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?? From the web

The long awaited feature from OpenAI, “Structured Outputs”, is broken

The latest advancements in AI as championed by OpenAI's structured outputs for large language models aim to force specific response formats, such as JSON. However, challenges arise with requirements like setting additional properties on all nested objects and restrictions on parameters like "required" and "oneOf." Despite potential improvements in data output comprehensiveness, developers may face issues with OpenAI's arbitrary rules for valid JSON schemas, impacting application code logic and usability.




??? Paris 2024 Olympics recap: Internet trends, cyber threats, and popular moments

The Paris 2024 Summer Olympics concluded with the closing ceremony on August 11, 2024, causing a 14% drop in Internet traffic in France compared to the previous week. The ceremony featured a Golden Voyager descending from the sky and various performances, affecting online activity. Mobile device usage in France increased during the Olympics, reaching up to 54% of total web traffic.



An AI Avatar Walks Into A Talkshow

Integrating AI into live television is a powerful way to showcase cutting-edge technology to viewers. By introducing an AI avatar on live television at Bayerischer Rundfunk, the team aimed to raise awareness about AI's impact. Developing a live, interactive AI avatar for television presented challenges, including finding a reliable provider and implementing robust error handling and backup strategies.




The new PostgreSQL 17 make dist

When PostgreSQL releases, the main output is a source code tarball, which is then used for creating binary packages or building the software from source. Previously, the tarball included prebuilt files like Bison and Flex outputs, but from PostgreSQL 17, these are no longer prebuilt, simplifying the process and enhancing supply chain integrity by making tarball creation reproducible and verifiable through Git.




End of the Road for Lambda: Choco's Journey to Kubernetes

Choco moved away from serverless to container-based architecture due to challenges with Lambda, finding that Kubernetes simplifies processes and allows better control. The decision for migration was made after careful consideration of options, leading to a successful transition. The new architecture with Kubernetes and other established tools has brought about a more efficient developer experience and improved overall performance.




??? Dealing with rejection (in distributed systems)

Literature covers distributed system basics like consistency and availability trade-offs, but practical aspects such as observability, multi-tenancy, and operational design require hands-on experience. Backpressure is vital for preventing system overloads in production by rejecting or slowing down requests before reaching catastrophic failure. In WarpStream, effective backpressure was achieved by monitoring in-memory metrics and adjusting workload processing dynamically, preventing system crashes even under high CPU utilization.




??? Why Facebook does not use Git – and why most other devs do

Facebook initially transitioned from Subversion to Mercurial for source control due to Git's inefficiencies with large monorepos. Despite Facebook's contributions to Mercurial, Git has since improved its monorepo support. Sapling SCM, used internally at Facebook, remains Git-compatible but retains elements of Mercurial.



?? News

??? Introducing GitHub Models: A new generation of AI engineers building on GitHub

Every developer can now access and experiment with AI models on GitHub. From the model playground to Codespaces to production deployment on Azure, it's never been easier to build AI applications. Join the limited public beta for GitHub Models today.




The Elon Musk / Donald Trump interview on X started with an immediate tech disaster

Musk claimed a denial-of-service attack kept people from being able to hear his interview with former President Donald Trump on X, but The Verge is told there was no such attack.




?? Discussions

DDoS attack on Twitter, when Musk was going to interview Trump

"It’s fascinating to see the recent Twitter disruptions and wonder if they were genuinely caused by a DDoS attack or if the platform simply collapsed under the weight of its own inadequacies."




I am kinda obsessed with zig at the moment




?? Videos

Build a Python Website in 15 Minutes With Streamlit

In this video, Tech With Tim is giving you an introduction to a fantastic module known as Streamlit and how it can be used to build a Python website in just 15 minutes.




?? Tools

Azure-Samples/graphrag-accelerator

One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure




Sobeston/zig.guide

Repo for zig.guide content. Get up to speed with Zig quickly.




ComposioHQ/composio

Composio equips agents with well-crafted tools empowering them to tackle complex tasks




toss/es-toolkit

A modern JavaScript utility library that's 2-3 times faster and up to 97% smaller—a major upgrade to lodash.




chen08209/FlClash

?A multi-platform proxy client based on ClashMeta,simple and easy to use, open-source and ad-free.




apple/ml-4m

Massively Multimodal Masked Modeling by Apple




ueberdosis/tiptap

The headless editor framework for web artisans.



?? Spread the word and help developers find and follow your Open Source project by promoting it on FAUN. Get in touch for more information.



?? Did you know?

Did you know that Google.com was once accidentally sold to a former Google employee, Sanmay Ved, for just $12? In an unexpected twist during an exploration of Google's domain sales platform on September 29, Ved was able to purchase the domain. Surprisingly, the transaction went through, and his credit card was charged, granting him ownership for about a minute. Google quickly realized the error and cancelled the transaction. As a nod to their corporate humor, Google initially offered Ved $6,006.13—a numerical pun of "Google"—to buy back the domain. When Ved decided to donate the money to charity, Google doubled the amount to $12,012, which went to the Art of Living India Foundation, supporting education initiatives in India.



?? Meme of the week




??? Quote of the week

“Nothing is built on stone; all is built on sand, but we must build as if the sand were stone. Jorge Luis Borges” ― Titus Winters, Software Engineering at Google: Lessons Learned from Programming Over Time



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