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Distributed Systems & Cloud Computing with Java

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Michael Pogrebinsky | Software Architecture & Java Programming Expert

7:27:23

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  • 1 - Introduction and Motivation.mp4
    08:19
  • 2 - Introduction to Cluster Coordination & Theory of Leader Election.mp4
    08:23
  • 2 - zookeeper at twitter.zip
  • 2 - zookeeper because coordinating distributed systems is a zoo.zip
  • 3 - Zookeeper Server and Client Download and Setup.mp4
    08:16
  • 3 - apache zookeeper download version 3412.zip
  • 3 - jdk download page.zip
  • 4 - Important Apache Zookeeper Installation and Troubleshooting Instructions.html
  • 5 - Zookeeper Client Threading Model & Zookeeper Java API.mp4
    11:23
  • 5 - apache maven.zip
  • 5 - log4j quick guide.zip
  • 5 - zookeeper java doc.zip
  • 5 - zookeeper-api-introduction.zip
  • 6 - Important Tips for Debugging Applications with Zookeeper.html
  • 7 - Leader Election Implementation.mp4
    05:03
  • 7 - leader-election.zip
  • 8 - Watchers Triggers and Introduction to Failure Detection.mp4
    09:50
  • 8 - watchers.zip
  • 8 - zookeeper watches.zip
  • 9 - Leader Reelection Implementation.mp4
    10:19
  • 9 - leader-reelection.zip
  • 10 - Practice Cluster Autohealer using Zookeeper.html
  • 10 - autohealer-exercise.zip
  • 10 - autohealer-solution.zip
  • 11 - Introduction to Service Registry & Service Discovery.mp4
    05:02
  • 12 - Service Registry & Discovery Implementation.mp4
    15:06
  • 12 - service-registry.zip
  • 12 - zookeeper use cases challenges and alternatives.zip
  • 13 - Introduction to Network Communication Optional.mp4
    13:22
  • 14 - HTTP for Communication in Distributed Systems.mp4
    12:08
  • 15 - HTTP Server Implementation & Custom Headers.mp4
    12:15
  • 15 - httpserver.zip
  • 16 - HTTP Client Implementation & Network Packet Analysis.mp4
    14:13
  • 16 - httpclient.zip
  • 17 - Message Delivery Semantics in Distributed Systems.mp4
    08:27
  • 18 - Complex Data Delivery Serialization & Deserialization.mp4
    17:11
  • 18 - java serializable java doc.zip
  • 18 - protocol buffers java.zip
  • 19 - Introduction to TFIDF.mp4
    10:31
  • 20 - Implementation of TFIDF.mp4
    14:08
  • 21 - Parallel TFIDF & System Architecture.mp4
    06:24
  • 22 - Worker Node Implementation Distributed Search Part 1.mp4
    10:27
  • 22 - distributed-search-worker-node.zip
  • 23 - Search Cluster Coordinator Distributed Search Part 2.mp4
    14:24
  • 23 - distributed-search-cluster-node.zip
  • 24 - Search Web Application Distributed Search Part 3.mp4
    17:52
  • 24 - distributed-search-frontend.zip
  • 25 - Introduction To Load Balancers.mp4
    08:17
  • 26 - Load Balancing Strategies & Algorithms.mp4
    07:18
  • 27 - Load Balancing Networking Layers.mp4
    04:20
  • 28 - HAProxy Load Balancing in Practice.mp4
    15:47
  • 28 - haproxy 17 configuration documentation.zip
  • 28 - haproxy official website.zip
  • 29 - HAProxy with Docker Running HAProxy on any Platform.mp4
    06:18
  • 29 - docker hub.zip
  • 29 - haproxy-practice.zip
  • 30 - Introduction to Message Brokers.mp4
    07:18
  • 31 - Apache Kafka Introduction.mp4
    06:27
  • 32 - Apache Kafka as a Distributed System.mp4
    06:58
  • 33 - Apache Kafka Building a Kafka Cluster in Practice.mp4
    12:35
  • 33 - kafka download make sure to download the binaries not the source.zip
  • 34 - Apache Kafka Kafka Producer with Java.mp4
    07:46
  • 34 - kafka-producer.zip
  • 35 - Apache Kafka Building Kafka Consumers Scalability and PubSub.mp4
    09:57
  • 35 - kafka-consumer.zip
  • 36 - Distributed Banking System Practice.html
  • 36 - banking-system-exercise.zip
  • 37 - Distributed Banking System Solution.html
  • 37 - banking-system-solution.zip
  • 38 - Introduction to Distributed Storage.mp4
    05:58
  • 39 - Database Sharding.mp4
    07:03
  • 40 - Dynamic Sharding with Consistent Hashing.mp4
    08:05
  • 41 - Database Replication Consistency Models & Quorum Consensus.mp4
    11:38
  • 42 - Introduction to MongoDB.mp4
    09:09
  • 42 - install mongodb community edition.zip
  • 42 - introduction to mongodb.zip
  • 43 - Scaling MongoDB using Data Replication Introduction.mp4
    04:12
  • 43 - mongodb replication.zip
  • 44 - Launching a Replication Set in Distributed MongoDB.mp4
    10:31
  • 44 - mongodb java driver.zip
  • 45 - Scaling MongoDB using Data Sharding Introduction.mp4
    05:11
  • 46 - Launching a Sharded Distributed MongoDB.mp4
    17:43
  • 46 - database indexes.zip
  • 46 - insert-many-movies.zip
  • 46 - insert-many-users.zip
  • 46 - mongodb indexes.zip
  • 46 - mongodb sharding.zip
  • 47 - Introduction to Cloud Computing.mp4
    09:33
  • 47 - amazon web services regions and availability zones.zip
  • 47 - google cloud platform regions and zones.zip
  • 47 - microsoft azure regions and zones.zip
  • 48 - Cloud Deployment in Practice Compute Instances and Templates.mp4
    08:33
  • 48 - amazon web services free tier.zip
  • 48 - cloud-web-application.zip
  • 48 - google cloud platform free tier.zip
  • 48 - microsoft azure free tier.zip
  • 49 - Instance Groups Autoscaling and Autohealing.mp4
    09:25
  • 49 - amazon web services autoscaling.zip
  • 49 - google cloud platform autoscaling.zip
  • 49 - microsoft azure autoscaling.zip
  • 50 - MultiRegion Deployment and Global Loadbalancing.mp4
    14:18
  • 50 - amazon web services load balancing.zip
  • 50 - google cloud platform load balancing.zip
  • 50 - microsoft azure load balancing.zip
  • 51 - Bonus Material.html
  • Description


    Learn Distributed Java Applications at Scale, Parallel Programming, Distributed Computing & Cloud Software Architecture

    What You'll Learn?


    • Design and build massively Parallel Java Applications and Distributed Algorithms at Scale
    • Create efficient Cloud-based Software Systems for Low Latency, Fault Tolerance, High Availability and Performance
    • Master Software Architecture designed for the modern era of Cloud Computing
    • Globally deploy Distributed Programs on the Cloud serving millions of users, billions of requests, & petabytes of data

    Who is this for?


  • Students who want to build modern, Distributed Systems at scale
  • Students who want to acquire new practical skills in Distributed Computing & Cloud Technologies
  • Students proficient in Java who want to take their Software Engineering skills to a new level
  • What You Need to Know?


  • Proficiency in the Java
  • Passion for Software Engineering and Computer Science
  • Multithreading and Concurrency: Recommended
  • More details


    Description

    Have you always wanted to build software that reaches millions of users and impact people's lives?

    Have you been wondering how modern companies

    • Handle massive amount of internet traffic and transactions?

    • Securely store billions of our photos, videos and other data?

    • Provide impeccable user experience and high performance 24/7 all around the globe?

    Then you are in the perfect place!


    In this course you will:

    • Master the theory of Distributed Systems, Distributed Computing and modern Software Architecture

    • Gain the practical skills necessary to build Distributed Applications and Parallel Algorithms, focusing on Java based technologies

    • Deploy groups of distributed Java applications on the Cloud

    • Scale Distributed Databases to store petabytes of data

    • Build Highly Scalable and Fault Tolerant Distributed Systems

    Along the way you will learn modern technologies like:

    • Apache Kafka

    • Apache Zookeeper

    • MongoDB

    • HAProxy

    • Google Cloud Platform

    • JSON

    • Java HTTP Server and Client

    • Protocol Buffers

    • Google Cloud Platform

    • And many others

    By the end of the course you will:

    • Apply best practices for building and architecting real-life Distributed Systems

    • Scale your Distributed System to handle billions of transactions per day

    • Deploy your distributed application on the Cloud

    • Choose the right technologies for your use case and Software Architecture

    • Use modern Java based techniques to store and handle large amounts of data


    So what are you waiting for?

    Join us today on this incredible journey!


    FAQ

    - What do I need to know to join the course?

    Basic knowledge of Java will suffice. Knowing the fundamentals of Multithreading and Concurrency may help but is not required.

    - Will this course help me in System Design Interviews?

    Yes. Distributed Systems questions are frequently asked during System Design Interviews, especially by large companies that operate on a massive scale. The skills you will learn in this course will help you in your career both while interviewing and working on real projects

    - Do I need to pay for any software or Cloud account?

    No. All the technologies covered in the course are free and open-source. The lectures on the cloud don't require you to pay for anything. If you want to follow along, all cloud vendors provide free-tier accounts to play around with and practice for free. Please follow the specific cloud vendor's documentation for guidance.

    - Can I run and develop a Distributed System locally on my personal computer?

    Yes. You can develop and run a distributed system on your computer and you don't need to buy any additional hardware. Generally, most distributed computing development is done on a single computer before it goes to QA and production.

    - Is this the right course for me if I want to become a Software Architect or Technical Lead?

    Yes. This is the right place for you to gain practical Software Architecture and Distributed Computing skills to become a Software Architect and Technical Lead. Thanks to the advancement of Cloud Computing, most companies today run distributed systems and deploy them on the cloud. So the skills taught in this course are critical to being a successful Software Architect in the modern era.

    Who this course is for:

    • Students who want to build modern, Distributed Systems at scale
    • Students who want to acquire new practical skills in Distributed Computing & Cloud Technologies
    • Students proficient in Java who want to take their Software Engineering skills to a new level

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    Michael Pogrebinsky | Software Architecture & Java Programming Expert
    Michael Pogrebinsky | Software Architecture & Java Programming Expert
    Instructor's Courses
    Michael Pogrebinsky is an experienced software engineer and software architect.In his professional career, he has developed numerous flagship products and has worked on cutting-edge solutions and technologies for companies like Google, Intel, and many others.He is primarily interested in real-time and high-scale software and demonstrated his technical leadership skills working at many leading companies in their fields.He is also programming language and technology agnostic and his teaching methods emphasize understanding the core fundamentals and developing the right way of thinking and good practices.His passion for technology made him a good mentor for other engineers and students, and he is excited to share his knowledge and experience here at Udemy.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 45
    • duration 7:27:23
    • English subtitles has
    • Release Date 2022/11/20