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Uncommon Uses of Common Python Standard Library Functions

A fresh guide gives old Python friends a second look—turns out, tools like **itertools.groupby**, **zip**, **bisect**, and **heapq** aren’t just standard; they’re slick solutions to real problems. Think run-length encoding, matrix transposes, or fast, sorted inserts without bringing in another depen.. read more  

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Organize your Slack channels by “How Often”, not “What” - Aggressively Paraphrasing Me

One dev rewired their Slack setup by **engagement frequency**—not subject. Channels got sorted into tiers like “Read Now” and “Read Hourly,” cutting through noise and saving brainpower. It riffs off the **Eisenhower Matrix**, letting priorities shift with projects, not burn people out... read more  

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Building a Resilient Data Platform with Write-Ahead Log at Netflix

Netflix faced challenges like data loss, system entropy, updates across partitions, and reliable retries. To address these, they built a generic Write-Ahead Log (WAL) system serving a variety of use cases like delayed queues, generic cross-region replication, and multi-partition mutations. WAL abstr.. read more  

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Jupyter Agents: training LLMs to reason with notebooks

Hugging Face dropped an open pipeline and dataset for training small models—think **Qwen3-4B**—into sharp **Jupyter-native data science agents**. They pulled curated Kaggle notebooks, whipped up synthetic QA pairs, added lightweight **scaffolding**, and went full fine-tune. Net result? A **36% jump .. read more  

Jupyter Agents: training LLMs to reason with notebooks
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5 Free AI Courses from Hugging Face

Hugging Face just rolled out a sharp set of free AI courses. Real topics, real tools—think **AI agents, LLMs, diffusion models, deep RL**, and more. It’s hands-on from the jump, packed with frameworks like LangGraph, Diffusers, and Stable Baselines3. You don’t just read about models—you build ‘em i.. read more  

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Inside NVIDIA GPUs: Anatomy of high performance matmul kernels

NVIDIA Hopper packs serious architectural tricks. At the core: **Tensor Memory Accelerator (TMA)**, **tensor cores**, and **swizzling**—the trio behind async, cache-friendly matmul kernels that flirt with peak throughput. But folks aren't stopping at cuBLAS. They're stacking new tactics: **warp-gro.. read more  

Inside NVIDIA GPUs: Anatomy of high performance matmul kernels
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@faun shared a link, 4 months ago
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The productivity paradox of AI coding assistants

A July 2025 METR trial dropped a twist: seasoned devs using Cursor with Claude 3.5/3.7 moved **19% slower** - while thinking they were **20% faster**. Chalk it up to AI-induced confidence inflation. Faros AI tracked over **10,000 developers**. More AI didn’t mean more done. It meant more juggling, .. read more  

The productivity paradox of AI coding assistants
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@faun shared a link, 4 months ago
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Becoming a Research Engineer at a Big LLM Lab - 18 Months of Strategic Career Development

To land a big career role like Mistral, mix efficient **tactical** moves (like LeetCode practice) with **strategic** ups, like building a powerful portfolio and a solid network. Balance is key; aim to impress and prepare well without overlooking the power of strategy in shaping a successful career... read more  

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Building a Natural Language Interface for Apache Pinot with LLM Agents

MiQ plugged **Google’s Agent Development Kit** into their stack to spin up **LLM agents** that turn plain English into clean, validated SQL. These agents speak directly to **Apache Pinot**, firing off real-time queries without the usual parsing pain. Behind the scenes, it’s a slick handoff: NL2SQL .. read more  

Building a Natural Language Interface for Apache Pinot with LLM Agents
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Implementing Vector Search from Scratch: A Step-by-Step Tutorial

Search is a fundamental problem in computing, and vector search aims to match meanings rather than exact words. By converting queries and documents into numerical vectors and calculating similarity, vector search retrieves contextually relevant results. In this tutorial, a vector search system is bu.. read more  

DevOpsDayLA is Southern California's premier conference focused on the human side of technology delivery. For 15 years, we've brought together SoCal practitioners who understand that great software isn't just about tools, it's about people working together effectively.

The 2026 Lens: DevOps in an AI World: You're working in a world where AI is everywhere, embedded in your tools, requested by your management, and reshaping how teams deliver software. Whether you're embracing these changes or navigating the challenges they create, your experience matters.

We're looking for stories about how you and your organizations are adapting your mindsets, processes, and team dynamics in this rapidly evolving landscape. How did your team integrate AI into existing workflows? What changed about collaboration when AI entered the picture? Where do humans remain critical in automated processes? How do you build the next generation of engineers when entry-level work is automated? What are the real implementation challenges you're facing in Southern California's entertainment, gaming, aerospace, retail, healthcare, and manufacturing companies?

What makes DevOpsDayLA different: We focus on culture, collaboration, and cross-industry implementation stories rather than pure technical deep-dives. We're all about the people and processes that make technology successful in an AI world, not the technology itself.

We especially welcome new speakers, under-represented voices, and fresh perspectives from across SoCal's diverse tech landscape.

Attending

To attend DevOps Day LA purchase a  SCALE ticket via the SCALE website. Your ticket will provide access to both events.

Sponsor

DevOpsDayLA sponsors have the opportunity to offer job opportunities, demonstrations of the latest tools, and world-class service offerings to facilitate organizations’ DevOps journey. The conference is presented with the support of the Southern California Linux Expo (SCALE). It provides a relaxed, casual, and diverse environment where experienced professionals, evangelists, agile practitioners, developers, job seekers, business executives, educators, students, and curiosity seekers can connect and attend talks on current topics.

For additional information, please contact us at los-angeles@devopsdays.org.

Speak at DevOpsDay LA

DevOpsDay LA sessions are selected through our calling for presentations for our 2026 event. We have posted a list of desired topics and best practices for submissions.

Friday, March 6, 2026 - 10:00 to 17:00