| 1. Asynchronous communication pattern and message-oriented middleware.mp4 | 34.9 MB | ||
| 1. Evolution of computer system’s architecture.mp4 | 27.2 MB | ||
| 1. The need of cluster-wide coordination.mp4 | 59.6 MB | ||
| 1. The need of communication.mp4 | 31.2 MB | ||
| 1. Traditional RDBMS systems vs. NoSQL.mp4 | 35.9 MB | ||
| 2. Challenges of distributed computing.mp4 | 8.5 MB | ||
| 2. Data sharding and consistent hashing.mp4 | 12.3 MB | ||
| 2. Message transport and format.mp4 | 17.5 MB | ||
| 2. RAFT consensus algorithm.mp4 | 88.1 MB | ||
| 2. Short introduction to Apache Kafka.mp4 | 44.4 MB | ||
| 3. Apache Kafka as a distributed system.mp4 | 246.1 MB | ||
| 3. CAP theorem.mp4 | 52.5 MB | ||
| 3. Short introduction to Etcd.mp4 | 95.7 MB | ||
| 3. Synchronous and asynchronous communication patterns.mp4 | 16.8 MB | ||
| 3. Use-case of course application.mp4 | 28.1 MB | ||
| 4. Event-driven architecture.mp4 | 15.7 MB | ||
| 4. Implementation of distributed mutex.mp4 | 66.4 MB | ||
| 4. Practice 1.mp4 | 85.5 MB | ||
| 4. Short introduction to Apache Cassandra.mp4 | 155.8 MB | ||
| 4. Traditional load balancers.mp4 | 17.5 MB | ||
| 5. Leader election design pattern.mp4 | 20.2 MB | ||
| 5. Practice 3.mp4 | 164.3 MB | ||
| 5. Practice 5.mp4 | 131.2 MB | ||
| 5. Service Registry and Discovery.mp4 | 21.8 MB | ||
| 6. Deployment requirements for strongly consistent distributed systems.mp4 | 46.9 MB | ||
| 6. Service meshes.mp4 | 61.2 MB | ||
| 7. ACID properties in distributed system.mp4 | 38 MB | ||
| 7. Idempotent service design.mp4 | 45.3 MB | ||
| 8. Practice 2.mp4 | 102.5 MB | ||
| 8. Practice 4.mp4 | 213.6 MB | ||
| Application.java | 409.6 B | ||
| Bonus Resources.txt | 307.2 B | ||
| CassandraConfiguration.java | 2.5 KB | ||
| EtcdConfiguration.java | 512 B | ||
| EtcdProperties.java | 614.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| GreetResource.java | 819.2 B | ||
| HealthCheckResource.java | 409.6 B | ||
| IdGenerator.java | 2.1 KB | ||
| LeaderClient.java | 819.2 B | ||
| LeaderElection.java | 6.7 KB | ||
| NameGeneratorClient.java | 716.8 B | ||
| NewRangeResponse.java | 204.8 B | ||
| NextRangeResource.java | 2.2 KB | ||
| Notifier.java | 921.6 B | ||
| RandomNameResource.java | 716.8 B | ||
| UrlShortenResource.java | 2 KB | ||
| UrlsRepository.java | 1.4 KB | ||
| application.yml | 921.6 B | ||
| cassandra-init.sh | 409.6 B | ||
| docker-compose.yml | 8.3 KB | ||
| pom.xml | 921.6 B | ||
| tiny-url-soapui-project.xml | 6.7 KB | ||
| ▲ 99 total files | |||
Building Modern Distributed Systems with Java
https://TutSala.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 30 lectures (3h 53m) | Size: 1.94 GB
Learn how to design large-scale distributed systems with NoSQL databases, messaging queues and cluster coordination
What you'll learn:
Design and implement globally-distributed, scalable and fault-tolerant applications
Understanding of common algorithms and techniques used in majority of NoSQL databases and streaming platforms
In-depth knowledge of Apache Cassandra, Apache Kafka and ETCD
Build distributed URL-shorten service
Requirements
Proficiency in Java programming language
Open mind to discover challenges of distributed computing
Beginner in Spring Boot framework
Description
Significant percentage of large scale enterprises that I have been working with, admitted experiencing performance issues with their business critical applications. Most of production systems have been built on top of legacy, monolith technologies. Recent popularity of micro-services will not fulfill its promise of decoupled, scalable and fault-tolerant systems, unless "done right". While entering the world of micro-services, engineers start building distributed applications, where robust remote procedure calls and cluster coordination are a must.
In this course you will learn about common challenges that appear while designing and implementing large scale distributed systems, and how Big-Tech companies solve those problems.
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