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240 results

DevConcept.
Why Distributed Systems Don’t Break : Consensus Algorithms Explained | System Design | Day - 31

System Design Must-Know: Consensus, Paxos & Raft Explained How do distributed systems agree on one truth when machines ...

6:44
Why Distributed Systems Don’t Break : Consensus Algorithms Explained | System Design | Day - 31

88 views

1 day ago

Alxandria - Science should be free
Consensus Algorithms in Distributed Systems - Paxos, Raft
2:48
Consensus Algorithms in Distributed Systems - Paxos, Raft

0 views

6 days ago

Yuttapichai Kerdcharoen
Distributed Processing | Lecture 4 | Big Data @ K-DAI KMITL
54:20
Distributed Processing | Lecture 4 | Big Data @ K-DAI KMITL

28 views

6 days ago

Mayank Joshi
Consistent Hashing Explained with Engineering Trade-off | System Design with Microsoft SWE

Consistent Hashing is one of the most important ideas behind scalable distributed systems, yet it is often explained in a confusing ...

16:40
Consistent Hashing Explained with Engineering Trade-off | System Design with Microsoft SWE

140 views

7 days ago

satish puri
Books on parallel programming and HPC

Parallel programming and parallel computing books.

8:24
Books on parallel programming and HPC

94 views

5 days ago

Alxandria - Science should be free
Distributed Systems -- Rate Limiting Algorithms Token Bucket, Leaky Bucket
4:52
Distributed Systems -- Rate Limiting Algorithms Token Bucket, Leaky Bucket

0 views

6 days ago

Regatta Data
A 20B row JOIN and 50,000 UPDATES/second in a single distributed database

This is the ORIGINAL and unedited video that supports the edited post demonstrating a 20B row join with 50K serializable ...

7:46
A 20B row JOIN and 50,000 UPDATES/second in a single distributed database

43 views

4 days ago

Alxandria - Science should be free
Message Queues vs Streams -- Kafka vs RabbitMQ
2:40
Message Queues vs Streams -- Kafka vs RabbitMQ

0 views

6 days ago

Compiling Ideas
AI Agents & Software Engineering: New Patterns or Old Tricks?

The AI agent hype is real. AutoGPT, multi-agent frameworks, agent orchestrators with sci-fi names – they're everywhere.

26:44
AI Agents & Software Engineering: New Patterns or Old Tricks?

0 views

6 days ago

Sriniously
21.2. Backend Scaling and Performance Engineering: Part-2

The Part-2 of a comprehensive guide to scaling and performance for backend engineers. Serverless deepdive playlist: ...

2:18:11
21.2. Backend Scaling and Performance Engineering: Part-2

2,064 views

5 days ago

Dr. Anwer Khalid
MIR Lect8a How Search Conquers Data

MIR Lect8a How Search Conquers Data.

5:26
MIR Lect8a How Search Conquers Data

0 views

6 days ago

AI21 Labs
Don’t Learn Distributed Systems. Just import ray

You wanted to build an agent. You ended up debugging GPUs, scaling workers, and chasing OOMs. In this episode of YAAP, ...

30:57
Don’t Learn Distributed Systems. Just import ray

64 views

4 days ago

Nitish Kumar
What is Helm in Kubernetes? Helm Charts, Repositories, Releases Explained with Tutorial | Part 1

Connect with me: X: https://x.com/nitishfy LinkedIn: https://www.linkedin.com/in/nitishfy/ Instagram: https://instagram.com/nitishfy .

25:18
What is Helm in Kubernetes? Helm Charts, Repositories, Releases Explained with Tutorial | Part 1

490 views

7 days ago

Google Play Books
Azure AI Engineer Associate (AI-102) Study… by Renaldi Gondosubroto · Audiobook preview

PURCHASE ON GOOGLE PLAY BOOKS ▻▻ https://g.co/booksYT/AQAAAEDKVz0X5M Azure AI Engineer Associate (AI-102) ...

1:33:17
Azure AI Engineer Associate (AI-102) Study… by Renaldi Gondosubroto · Audiobook preview

37 views

5 days ago

Alexej Sailer
Meta-Petri Net Deep Dive: Creating 4 Workflows - Claude Code does the heavy lifting

What's Covered: 1️⃣ ARCHITECTURE OVERVIEW • MAP version (deterministic) vs AGENT version (adaptive) • 6 places: Task, ...

44:52
Meta-Petri Net Deep Dive: Creating 4 Workflows - Claude Code does the heavy lifting

217 views

6 days ago

Jon Gjengset
January 2026 Q&A

As has become tradition, it's time for another new year's Q&A! In the span of three hours, we got through 45 questions covering ...

2:48:37
January 2026 Q&A

6,424 views

1 day ago

The Savvy Scholar
How to Scale LLMs: Flash Attention, ZeRO, & Parallelism | The Engineering Behind Massive AI Models

Unlock the genius-level engineering that makes Large Language Models (LLMs) possible. In this video, we pull back the curtain ...

10:36
How to Scale LLMs: Flash Attention, ZeRO, & Parallelism | The Engineering Behind Massive AI Models

107 views

5 days ago

Benoît Piranda
borderAlgos

Examples of running of a distributed border detection algorithm in VisibleSim and implemented in real Blinky Block robots.

1:20
borderAlgos

0 views

4 days ago

Behind Billion
The INSANE RISE of Cursor AI

How did a tiny startup with 4 founders reach a $9 BILLION valuation in just 2 years? This is the complete story of Cursor AI — the ...

23:15
The INSANE RISE of Cursor AI

59 views

6 days ago

NextGen AI Explorer
How to Optimize Large Datasets with Dask Efficiently

Struggling with large datasets? Discover how Dask can revolutionize your data processing with efficiency and ease! ⚡ Learn to ...

5:38
How to Optimize Large Datasets with Dask Efficiently

0 views

5 days ago

AllAboutData
RDD - Resilient Distributed Dataset

In this video, we have discussed about RDD. Please do like, comment and share this video.

30:54
RDD - Resilient Distributed Dataset

2 views

1 day ago

The Gwart Show
Getting To The Bottom Of Quantum w/ Rearden

Bitcoin developer Brandon Black (ReardenCode) analyzes the reality of the quantum computing threat to Bitcoin. He explains the ...

1:14:31
Getting To The Bottom Of Quantum w/ Rearden

333 views

5 days ago

SystemDR - Scalable System Design
What is a Bayesian Network? Explained Simply for AI & Data Science #aiml #bayesian #network #ai

A Bayesian Network is a powerful probabilistic graphical model that represents a set of variables and their conditional ...

7:33
What is a Bayesian Network? Explained Simply for AI & Data Science #aiml #bayesian #network #ai

0 views

5 days ago

vlogize
Lösung von Problemen mit der Methode except() in Spark DataFrames

Entdecken Sie Lösungen für Probleme mit der Methode `except()` in Apache Spark DataFrames und ergründen Sie alternative ...

1:54
Lösung von Problemen mit der Methode except() in Spark DataFrames

0 views

6 days ago

Carnegie Mellon University Deep Learning
0 24 distributed training

Learn how to train PyTorch models on multiple GPUs using nn.DataParallel and nn.DistributedDataParallel (DDP). This video ...

11:31
0 24 distributed training

50 views

3 days ago