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Building modern distributed systems with Java.
Be a part of a great course where you will be understanding distributed, scalable, fault-tolerance, and resilience systems along with building, designing, and implementing applications through these systems. About This Video Design and implement globally distributed, scalable, fault-tolerant, and re...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Packt Publishing,
[2022]
|
| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 520 | |a Be a part of a great course where you will be understanding distributed, scalable, fault-tolerance, and resilience systems along with building, designing, and implementing applications through these systems. About This Video Design and implement globally distributed, scalable, fault-tolerant, and resilience applications Understanding of common algorithms and techniques used in the majority of NoSQL databases and streaming platforms In-depth knowledge of Apache Cassandra, Apache Kafka, and ETCD In Detail 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. Audience This course is designed for Java developers and architects who wish to broaden their knowledge of distributed computing, NoSQL databases, efficient RPC calls, messaging middleware, and cluster coordination. It is also recommended for anyone working in modern IT landscapes. The course may be a good recap for people preparing for systems design interviews. You will need proficiency in Java programming language, and an open mind to discover the challenges of distributed computing. Beginner-level knowledge in the Spring Boot framework will help you get along with the course easily. | ||
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