Building Modern Distributed Systems with Java

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Lukasz Antoniak

3:53:52

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01.01-evolution_of_computer_systemsaeur(tm)_architecture.mp4

04:06

01.02-challenges_of_distributed_compounding.mp4

04:11

01.03-use-case_of_course_application.mp4

04:27

01.04-practice_1.mp4

04:53

02.01-the_need_of_communication.mp4

06:38

02.02-message_transport_and_format.mp4

02:22

02.03-synchronous_and_asynchronous_communication_patterns.mp4

03:03

02.04-traditional_load_balancers.mp4

02:26

02.05-service_registry_and_discovery.mp4

02:27

02.06-service_meshes.mp4

08:39

02.07-idempotent_service_design.mp4

07:35

02.08-practice_2.mp4

08:43

03.01-traditional_rdbms_systems_versus_nosql.mp4

05:54

03.02-data_sharding_and_consistent_hashing.mp4

06:26

03.03-cap_theorem.mp4

06:48

03.04-short_introduction_to_apache_cassandra.mp4

20:21

03.05-practice_3.mp4

11:48

04.01-the_need_of_cluster-wide_coordination.mp4

07:38

04.02-raft_consensus_algorithm.mp4

12:37

04.03-short_introduction_to_etcd.mp4

12:36

04.04-implementation_of_distributed_mutex.mp4

07:43

04.05-leader_election_design_pattern.mp4

02:42

04.06-deployment_requirements_for_strongly_consistent_distributed_systems.mp4

05:19

04.07-acid_properties_in_distributed_system.mp4

04:48

04.08-practice_4.mp4

17:09

05.01-asynchronous_communication_pattern_and_message-oriented_middleware.mp4

05:35

05.02-short_introduction_to_apache_kafka.mp4

05:27

05.03-apache_kafka_as_a_distributed_system.mp4

29:41

05.04-event-driven_architecture.mp4

02:30

05.05-practice_5.mp4

09:20

9781804613313_Code.zip

Description

A significant percentage of large-scale enterprises experience performance issues with their business-critical applications. Most of the production systems have been built on top of legacy, monolith technologies. The 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.

You will look at various technologies, algorithms, and design patterns here. Some of them are Service Registry and Discovery, Service Mesh, Apache Cassandra ETCD (coordinator managing Kubernetes clusters), Apache Kafka, Idempotent service design, retry logic, Sharding, and Consistent Hashing, Client-side Load Balancing, Distributed Tracing, Canary Deployment, Sidecar Pattern, Circuit Breaker, and many more. Finally, you will also see the principles of various distributed systems designs; for example, master-less versus with leaders, poll-based versus push-based, immediate versus eventual consistency.

After completing the course, learning new distributed database technology would be easier, because you will know the commonly reused techniques, including their pros and cons.

All the resource files are available on the GitHub repository at https://github.com/PacktPublishing/Building-Modern-Distributed-Systems-with-Java

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Java

Lukasz Antoniak

Instructor's Courses

Lukasz Antoniak is an IT architect who designed and implemented robust back-end systems. After falling in love with Apache Cassandra, his focus shifted toward big data technologies, microservice architecture, NoSQL databases, and distributed message brokers. He is contributing as a committer to various open-source projects, including Hibernate ORM and Apache Bahir (extensions to Apache Spark). He worked for a few years on the distributed core banking platform for a major European bank. He has also worked previously for big-tech companies such as Oracle, IBM, HP, and TIBCO. In his spare time, he enjoys sailing and photography.

PacktPub

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Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.