Distributed Systems & Cloud Computing With Java

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
Requirements
Proficiency in the Java
Passion for Software Engineering and Computer Science
Multithreading and Concurrency: Recommended
Description
Have you always wanted to build software that reaches millions of users and impact people's lives?Have you been wondering how modern companiesHandle 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 ArchitectureGain the practical skills necessary to build Distributed Applications and Parallel Algorithms, focusing on Java based technologiesDeploy groups of distributed Java applications on the CloudScale Distributed Databases to store petabytes of dataBuild Highly Scalable and Fault Tolerant Distributed Systems Along the way you will learn modern technologies like:Apache KafkaApache ZookeeperMongoDBHAProxyGoogle Cloud PlatformJSON Java HTTP Server and ClientProtocol BuffersGoogle Cloud PlatformAnd many othersBy the end of the course you will:Apply best practices for building and architecting real-life Distributed SystemsScale your Distributed System to handle billions of transactions per dayDeploy your distributed application on the CloudChoose the right technologies for your use case and Software ArchitectureUse modern Java based techniques to store and handle large amounts of dataSo 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.

Overview

Section 1: Introduction to Distributed Systems

Lecture 1 Introduction and Motivation

Section 2: Cluster Coordination Service and Distributed Algorithms

Lecture 2 Introduction to Cluster Coordination & Theory of Leader Election

Lecture 3 Zookeeper Server and Client (Download and Setup)

Lecture 4 Important: Apache Zookeeper - Installation and Troubleshooting Instructions

Lecture 5 Zookeeper Client Threading Model & Zookeeper Java API

Lecture 6 Important Tips for Debugging Applications with Zookeeper

Lecture 7 Leader Election Implementation

Lecture 8 Watchers, Triggers and Introduction to Failure Detection

Lecture 9 Leader Reelection Implementation

Lecture 10 Practice - Cluster Auto-healer using Zookeeper

Section 3: Cluster Management, Registration and Discovery

Lecture 11 Introduction to Service Registry & Service Discovery

Lecture 12 Service Registry & Discovery - Implementation

Section 4: Network Communication

Lecture 13 Introduction to Network Communication - Optional

Lecture 14 HTTP for Communication in Distributed Systems

Lecture 15 HTTP Server - Implementation & Custom Headers

Lecture 16 HTTP Client - Implementation & Network Packet Analysis

Lecture 17 Message Delivery Semantics in Distributed Systems

Lecture 18 Complex Data Delivery - Serialization & Deserialization

Section 5: Building Distributed Document Search

Lecture 19 Introduction to TF-IDF

Lecture 20 Implementation of TF-IDF

Lecture 21 Parallel TF-IDF & System Architecture

Lecture 22 Worker Node Implementation - Distributed Search Part 1

Lecture 23 Search Cluster Coordinator - Distributed Search Part 2

Lecture 24 Search Web Application - Distributed Search Part 3

Section 6: Load Balancing

Lecture 25 Introduction To Load Balancers

Lecture 26 Load Balancing Strategies & Algorithms

Lecture 27 Load Balancing Networking Layers

Lecture 28 HAProxy - Load Balancing in Practice

Lecture 29 HAProxy with Docker - Running HAProxy on any Platform

Section 7: Distributed Message Brokers

Lecture 30 Introduction to Message Brokers

Lecture 31 Apache Kafka - Introduction

Lecture 32 Apache Kafka as a Distributed System

Lecture 33 Apache Kafka - Building a Kafka Cluster in Practice

Lecture 34 Apache Kafka - Kafka Producer with Java

Lecture 35 Apache Kafka - Building Kafka Consumers, Scalability and Pub/Sub

Lecture 36 Distributed Banking System - Practice

Lecture 37 Distributed Banking System - Solution

Section 8: Distributed Storage & Databases

Lecture 38 Introduction to Distributed Storage

Lecture 39 Database Sharding

Lecture 40 Dynamic Sharding with Consistent Hashing

Lecture 41 Database Replication, Consistency Models & Quorum Consensus

Section 9: Scaling a Real Database - Distributed MongoDB

Lecture 42 Introduction to MongoDB

Lecture 43 Scaling MongoDB using Data Replication - Introduction

Lecture 44 Launching a Replication Set in Distributed MongoDB

Lecture 45 Scaling MongoDB using Data Sharding - Introduction

Lecture 46 Launching a Sharded Distributed MongoDB

Section 10: Cloud Computing and Deployment at Global Scale

Lecture 47 Introduction to Cloud Computing

Lecture 48 Cloud Deployment in Practice - Compute Instances and Templates

Lecture 49 Instance Groups, Autoscaling and Auto-healing

Lecture 50 Multi-Region Deployment and Global Load-balancing

Section 11: Bonus Material

Lecture 51 Bonus Material

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