Book Image

Mastering Spring Cloud

By : Piotr Mińkowski
Book Image

Mastering Spring Cloud

By: Piotr Mińkowski

Overview of this book

Developing, deploying, and operating cloud applications should be as easy as local applications. This should be the governing principle behind any cloud platform, library, or tool. Spring Cloud–an open-source library–makes it easy to develop JVM applications for the cloud. In this book, you will be introduced to Spring Cloud and will master its features from the application developer's point of view. This book begins by introducing you to microservices for Spring and the available feature set in Spring Cloud. You will learn to configure the Spring Cloud server and run the Eureka server to enable service registration and discovery. Then you will learn about techniques related to load balancing and circuit breaking and utilize all features of the Feign client. The book now delves into advanced topics where you will learn to implement distributed tracing solutions for Spring Cloud and build message-driven microservice architectures. Before running an application on Docker container s, you will master testing and securing techniques with Spring Cloud.
Table of Contents (22 chapters)
Title Page
Copyright and Credits
Packt Upsell

Centralizing logs with ELK Stack

ELK is the acronym for three open source tools—Elasticsearch, Logstash, and Kibana. It is also called Elastic Stack. The heart of this system is Elasticsearch, a search engine based on another open source project written in Java, Apache Lucene. This library is especially suitable for applications that require full-text searches in cross-platform environments. The main reason for the popularity of Elasticsearch is its performance. Of course, it has some other advantages, such as scalability, flexibility, and easy integration by providing a RESTful, JSON-based API for searching stored data. It has a large community and many use cases, but the most interesting one for us is its ability to store and search logs generated by applications.Logging is the main reason for including Logstash in ELK Stack. This open source data-processing pipeline allows us to collect, process, and input data into Elasticsearch.

Logstash supports many inputs that pull events from external...