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".
Building Modern Distributed Systems with Java
3h 53m 32s
English
Paid
Building Modern Distributed Systems with Java is a 30-lesson 3 hours 53 minutes self-paced course by Udemy. Significant percentage of large scale enterprises that I have been working with, admitted experiencing performance issues with their business critical applications.
Course facts
- Lessons
- 30
- Duration
- 3 hours 53 minutes
- Level
- All levels
- Language
- English
- Updated
- Instructor
- Udemy
- Price
- Premium
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.
Technologies, algorithms and design patterns covered in this course:
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
Course will teach you the principles of various distributed systems design, for example master-less vs. with leaders, poll-based vs. push-based, immediate vs. eventual consistency. After completing the course, learning new distributed database technology would be easier, because you will know the common re-used techniques, including their pros and cons.
My intention is to keep course content very practical, with lots of code examples and applied best practices. For example, I will cover Service Registry and Discovery to the detail, that you will know how to implement your own framework on top of ETCD. Throughout the course, we are going to build distributed URL shorten service.
The course may be a good recap for people preparing for systems design interview.
Who teaches Building Modern Distributed Systems with Java? Udemy
Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.
Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.
What lessons are included in Building Modern Distributed Systems with Java?
0:00
/ #1: Evolution of computer system’s architecture
All Course Lessons (30)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Evolution of computer system’s architecture Demo | 04:04 | |
| 2 | Challenges of distributed computing | 04:10 | |
| 3 | Use-case of course application | 04:25 | |
| 4 | Practice 1 | 04:52 | |
| 5 | The need of communication | 06:37 | |
| 6 | Message transport and format | 02:20 | |
| 7 | Synchronous and asynchronous communication patterns | 03:02 | |
| 8 | Traditional load balancers | 02:24 | |
| 9 | Service Registry and Discovery | 02:26 | |
| 10 | Service meshes | 08:37 | |
| 11 | Idempotent service design | 07:34 | |
| 12 | Practice 2 | 08:42 | |
| 13 | Traditional RDBMS systems vs. NoSQL | 06:09 | |
| 14 | Data sharding and consistent hashing | 06:25 | |
| 15 | CAP theorem | 06:46 | |
| 16 | Short introduction to Apache Cassandra | 20:20 | |
| 17 | Practice 3 | 11:46 | |
| 18 | The need of cluster-wide coordination | 07:37 | |
| 19 | RAFT consensus algorithm | 12:36 | |
| 20 | Short introduction to Etcd | 12:35 | |
| 21 | Implementation of distributed mutex | 07:42 | |
| 22 | Leader election design pattern | 02:42 | |
| 23 | Deployment requirements for strongly consistent distributed systems | 05:18 | |
| 24 | ACID properties in distributed system | 04:47 | |
| 25 | Practice 4 | 17:07 | |
| 26 | Asynchronous communication pattern and message-oriented middleware | 05:34 | |
| 27 | Short introduction to Apache Kafka | 05:27 | |
| 28 | Apache Kafka as a distributed system | 29:40 | |
| 29 | Event-driven architecture | 02:29 | |
| 30 | Practice 5 | 09:19 |
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Frequently asked questions
What are the prerequisites for enrolling in this course?
Prospective students should have a solid understanding of Java programming and familiarity with basic concepts of software architecture. Prior experience with distributed systems, though not mandatory, will be beneficial given the course's focus on modern distributed architecture and microservices.
What kinds of projects or systems will students build in this course?
Students will work on several practical exercises throughout the course, such as implementing a distributed mutex and designing a leader election pattern. These exercises are designed to reinforce concepts like service registry, asynchronous communication, and event-driven architecture.
Who is the target audience for this course?
This course is tailored for software developers and architects who are looking to transition from monolithic to microservices architecture. It is also suitable for those wanting to understand the complexities of distributed systems and improve the performance of business-critical applications.
What specific tools or platforms are covered in this course?
The course includes short introductions to Apache Cassandra, Etcd, and Apache Kafka, focusing on their roles in distributed systems. Students will learn about their use in scenarios like cluster-wide coordination, data sharding, and message-oriented middleware.
How does the depth and scope of this course compare to other courses on distributed systems?
This course emphasizes hands-on practice with distributed systems concepts such as service meshes, RAFT consensus algorithm, and idempotent service design. It aims to provide practical insights into building scalable and fault-tolerant systems, which may not be covered in less focused courses on distributed systems.
What aspects of distributed systems are not covered in this course?
While the course covers a wide range of topics, it does not delve into the specifics of cloud-based deployment models or vendor-specific cloud services. The focus remains on core principles and open-source tools relevant to distributed systems.
What is the expected time commitment for completing the course?
The course consists of 30 lessons. While the total runtime is not specified, students should budget time for both lecture viewing and hands-on practice exercises. Depending on prior experience and pace, it could take several weeks to complete.