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2,981 results

Arjay McCandless
How much slower are Microservices? (I tested)

How much performance do you actually give up when you split an application into microservices? I built the same Go app as a ...

12:50
How much slower are Microservices? (I tested)

149,297 views

2d ago

The Modern SDE
Distributed Systems: Timeouts, Retries and Why Not Add More Machines | DDIA Explained L5

Lecture 5 of Designing Data-Intensive Applications, Explained in Java · Part 1: Trade-Offs in Data Systems Architecture.

8:18
Distributed Systems: Timeouts, Retries and Why Not Add More Machines | DDIA Explained L5

28 views

3d ago

Darshan Builds
Why Distributed Joins Break: Shuffle vs Broadcast | Spark & Trino

Why do distributed joins become slow, even when your data processing engine is designed to run across many machines?

7:54
Why Distributed Joins Break: Shuffle vs Broadcast | Spark & Trino

32 views

4d ago

The Modern SDE
Exactly-Once Processing and Transactions Recap | DDIA Explained L69

Lecture 69 of Designing Data-Intensive Applications, Explained in Java · Part 8: Transactions. In this lecture • A message queue ...

10:23
Exactly-Once Processing and Transactions Recap | DDIA Explained L69

24 views

2d ago

My Notes with ai
Explain its advantages, challenges and real-world applications.

In this video, we explain the question: What is Distributed Computing? Explain its advantages, challenges, and real-world ...

7:49
Explain its advantages, challenges and real-world applications.

3 views

6d ago

TeachTech
[MESSAGE QUEUE] Why do apps often lag when placing orders? Demystifying distributed systems

Discover why an order might get stuck even after you've clicked "buy," and learn how large-scale systems handle millions of ...

6:48
[MESSAGE QUEUE] Why do apps often lag when placing orders? Demystifying distributed systems

7 views

2d ago

vutr
How Apache Spark Works: From MapReduce to RDDs

Why did Spark replace MapReduce? MapReduce wrote every intermediate result to disk, and you could only express a job as ...

4:09
How Apache Spark Works: From MapReduce to RDDs

310 views

2d ago

Alex Hitt
Jaeger v2 Overview: How OpenTelemetry Tracing Finds Distributed Latency

jaeger by jaegertracing: https://github.com/jaegertracing/jaeger Jaeger v2 gives teams a focused way to understand distributed ...

4:50
Jaeger v2 Overview: How OpenTelemetry Tracing Finds Distributed Latency

130 views

7d ago

The Modern SDE
Distributed Transactions Across Systems: XA Explained | DDIA Explained L68

Lecture 68 of Designing Data-Intensive Applications, Explained in Java · Part 8: Transactions. In this lecture • Distributed ...

12:05
Distributed Transactions Across Systems: XA Explained | DDIA Explained L68

9 views

2d ago

Bits to Bytes
How Distributed Key-Value Stores Scale to Millions of Users

Discover how distributed key-value stores like DynamoDB and Cassandra scale to millions of requests per second. We break ...

10:06
How Distributed Key-Value Stores Scale to Millions of Users

6 views

6d ago

Systems Architecture Hub
Why Distributed Caching Fails (And How to Fix It)

Learn how to design a distributed cache by mastering consistent hashing, eviction policies, and core replication tradeoffs.

12:59
Why Distributed Caching Fails (And How to Fix It)

0 views

6d ago

ByteExplorer
Apache Sedona Explained: Everything You Need to Know 🚀

Deep dive into Apache Sedona! Apache Sedona is built to scale geospatial processing across distributed systems. It integrates ...

9:35
Apache Sedona Explained: Everything You Need to Know 🚀

13 views

5d ago

IgniteGTM
We're Not Overbuilt, We're Just Getting Started: The New Era of Enterprise AI Infrastructure | Vultr

Recorded live at NeoCloud Summit 2026, Hotel Kabuki, San Francisco. Just as the World Wide Web changed enterprise IT in the ...

18:08
We're Not Overbuilt, We're Just Getting Started: The New Era of Enterprise AI Infrastructure | Vultr

21 views

6d ago

ROSE Compute
AI Data Centers on Retail Roofs | When the Roof Pays, the Shelf Can Cost Less

Retail landlords: if the roof paid rent too, what happens to the price on the shelf? "When the roof pays, the shelf can cost less.

5:38
AI Data Centers on Retail Roofs | When the Roof Pays, the Shelf Can Cost Less

1 view

6d ago

BasedGiant
How ICP Replaces Everything: The World Computer Explained | Internet Computer

Picture a small bakery's website. It loads like any other page, but it arrives with a hidden label: a certificate that proves the page ...

10:46
How ICP Replaces Everything: The World Computer Explained | Internet Computer

3,505 views

2d ago

JYC Science
Hierarchical Control Part 1| Evolution of Computer Control: Centralized vs Distributed  #automation

How did computers take control of factories? In Part 1 of Hierarchical Control, we follow computer control from the first airborne ...

8:02
Hierarchical Control Part 1| Evolution of Computer Control: Centralized vs Distributed #automation

11 views

3d ago

updownx
Idempotent Operations in Distributed Systems

This article introduces the definition of idempotent operations, their value in distributed systems, and AWS's preferred approach.

8:13
Idempotent Operations in Distributed Systems

1 view

7d ago

Internet Time Machine
SETI@home: The Screensaver That Built the World's Biggest Supercomputer

#SETI #SETIatHome #DistributedComputing #BOINC #Arecibo #InternetHistory #VolunteerComputing #TechHistory #Space ...

5:30
SETI@home: The Screensaver That Built the World's Biggest Supercomputer

2 views

6d ago

Alex Hitt
Scion GitHub Overview: How Isolated Agents Scale Beyond Shared Workspaces

scion by googlecloudplatform: https://github.com/googlecloudplatform/scion Scion is an open-source orchestration testbed for ...

9:23
Scion GitHub Overview: How Isolated Agents Scale Beyond Shared Workspaces

23 views

23h ago

Techified_ai
Backend: Architecting Backend Observability

Uncover the architectural blueprint of backend observability—demystifying how structured logs, real-time metrics, and distributed ...

7:48
Backend: Architecting Backend Observability

15 views

2d ago