
<p>In this 10-minute episode, we’ll explore neural networks — the core component of many modern AI models, including LLMs like ChatGPT, Gemini, and Claude, that mimic how the human brain works. We’ll demystify the...


"10-Minute System Design" is your go-to podcast for quick, digestible insights into system design, AI, machine learning, and distributed systems. In each episode, your hosts break down complex tech concepts into easy-to-understand discussions, it's perfect for both beginners looking to learn the basics and experienced professionals needing a quick refresh. In just 10 minutes, we dive deep into the core ideas, offering clear explanations and practical takeaways to help you stay sharp and informed in today’s fast-evolving tech landscape.
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Booking probability
30%
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Selective
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Signup to Generate a Pitch"10-Minute System Design" is your go-to podcast for quick, digestible insights into system design, AI, machine learning, and distributed systems. In each episode, your hosts break down complex tech concepts into easy-to-understand discussions, it's perfect for both beginners looking to learn the basics and experienced professionals needing a quick refresh.
10-Minute System Design is hosted by 10min Tech. The show has published 17 episodes to date.
Recent episodes include "What Are Neural Networks and How Do They Work?" (6 January 2025, 11 minutes), "How Meta Trains AI Models at Scale" (24 October 2024, 15 minutes), and "How Netflix Streams High-Quality Video" (23 October 2024, 13 minutes).
10-Minute System Design publishes roughly daily, with episodes averaging 11 minutes across 17 episodes.
Booking probability for 10-Minute System Design is 30%, and the host is rated Selective on guests. 10-Minute System Design requires a Pod Score of 80 or higher. 10-Minute System Design's contact route on record: verified email.
The strongest fits for 10-Minute System Design are IT Services & Software Development. 10-Minute System Design has a technology audience.
10min Tech hosts 10-Minute System Design, a technology podcast with 17 episodes published.
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<p>In this 10-minute episode, we’ll explore neural networks — the core component of many modern AI models, including LLMs like ChatGPT, Gemini, and Claude, that mimic how the human brain works. We’ll demystify the...

Episode #16
<p>In this episode, we'll take a look at Meta’s ambitious approach to scaling large language models. We'll explore the shift from handling many smaller models for recommendation engines to building colossal generative...

Episode #15
<p>In this episode, let's explore how Netflix revamped their video processing pipeline, moving from a monolithic system to a microservices architecture. What drove such a major shift? You'll hear how their original...

Episode #14
<p>In this episode, we'll explore the intricate system and architecture design behind Apple's iCloud. We'll break down how Apple seamlessly handles billions of users by combining Cassandra and FoundationDB to power...

<p>In this episode, we explore the system behind Uber's driver-matching functionality, capable of handling an incredible one million requests per second. We break down the key technologies that make it work, from H3...

Episode #12
<p>In this episode, we'll learn how Instagram scaled to 2.5 billion users. We'll discuss the major challenges Instagram faced — from resource constraints to data consistency and performance, and unpack the innovative...

Episode #11
<p>In this episode, we explore how Facebook engineers scaled Memcached, the open-source caching system, to handle billions of requests and trillions of items. We’ll break down the challenges they faced and the smart...

<p>In this episode, we explore another important piece of technology from Google: Spanner — a globally distributed database that reshapes how massive datasets are managed. We’ll talk about its unique architecture...

<p>In this episode, our hosts take a closer look at a groundbreaking research paper on Dynamo, Amazon’s innovative distributed data storage system. With a focus on availability over consistency, Dynamo employs...

<p>In this episode, our hosts delve into the legendary research paper detailing the creation and implementation of Chubby, Google's innovative distributed lock service. Designed for large-scale, loosely-coupled systems...

Episode #9
<p>Ever wondered how multiple processes can safely share resources without stepping on each other's toes? In this episode, we'll talk about Redis's distributed lock and discover how it ensures mutual exclusion for...

<p>Join us in this episode as we dive into MapReduce. We’ll explore how it revolutionizes the way we process vast datasets on large clusters. With a focus on simplicity, the MapReduce framework abstracts complex tasks...

Episode #7
<p>In this episode, we take a closer look at the Hadoop Distributed File System (HDFS), a key part of the Hadoop framework that helps store and manage huge amounts of data. We’ll explore how HDFS spreads data across...

<p>In this episode, our hosts delve into Cassandra, the distributed storage system developed at Facebook to tackle the immense challenges of managing structured data. Designed for high availability and scalability...

Episode #1
<p>In this 10-minute episode, we explore the Google File System (GFS), a scalable, fault-tolerant distributed file system designed for Google’s vast data needs. Built on commodity hardware, GFS ensures high performance...

<p>Imagine a revolutionary storage system that can handle petabytes of data across thousands of ordinary servers. This is Bigtable — a groundbreaking solution that redefines how structured data is managed at scale...

<p>This episode focuses on Kafka, the distributed messaging system born at LinkedIn. Learn how Kafka was designed to tackle the massive streams of log data driving personalized recommendations, search algorithms, and...
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