Design Patterns for Cloud Native Applications: Patterns in Practice Using APIs, Data, Events, and Streams

Price: $41.79
(as of Dec 04,2024 08:10:44 UTC – Details)

From the brand

Your partner in learning

Sharing the knowledge of experts

O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

ASIN ‏ : ‎ B0959DDVP2
Publisher ‏ : ‎ O’Reilly Media; 1st edition (May 17, 2021)
Publication date ‏ : ‎ May 17, 2021
Language ‏ : ‎ English
File size ‏ : ‎ 26608 KB
Simultaneous device usage ‏ : ‎ Unlimited
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 535 pages

Design Patterns for Cloud Native Applications: Patterns in Practice Using APIs, Data, Events, and Streams

In the world of cloud native applications, design patterns play a crucial role in ensuring scalability, reliability, and efficiency. With the rise of microservices architecture and containerization, developers are constantly looking for ways to optimize their applications for the cloud environment.

One of the key aspects of designing cloud native applications is the use of APIs, data, events, and streams. These components form the backbone of modern applications and can greatly impact their performance and functionality. In this post, we will explore some common design patterns that leverage APIs, data, events, and streams to create robust and scalable cloud native applications.

1. API Gateway Pattern: The API gateway pattern is a centralized entry point for all external API requests. By routing requests through a single gateway, developers can easily manage authentication, rate limiting, and request routing. This pattern helps to simplify the architecture and improve security by reducing the number of direct connections to individual services.

2. Event-Driven Architecture Pattern: Event-driven architecture is a design pattern that focuses on handling events and asynchronous communication between services. By using events to trigger actions, developers can create loosely coupled and scalable applications. This pattern is particularly useful for building real-time systems and processing large volumes of data.

3. Data Mesh Pattern: The data mesh pattern is a decentralized approach to data management that focuses on organizing data around business domains. By breaking down data silos and distributing data ownership to individual teams, developers can create more flexible and scalable applications. This pattern is well-suited for cloud native applications that need to handle diverse data sources and formats.

4. Stream Processing Pattern: Stream processing is a design pattern that involves processing data in real-time as it flows through a system. By using streaming platforms like Apache Kafka or Amazon Kinesis, developers can build applications that can react to events as they happen. This pattern is ideal for applications that require low latency and high throughput, such as real-time analytics or monitoring systems.

By incorporating these design patterns into their cloud native applications, developers can create more efficient, scalable, and reliable systems. Whether you are building a new application or modernizing an existing one, leveraging APIs, data, events, and streams can help you take full advantage of the cloud environment.
#Design #Patterns #Cloud #Native #Applications #Patterns #Practice #APIs #Data #Events #Streams