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Java Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKS
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Price: $59.99 – $47.53
(as of Dec 24,2024 02:33:07 UTC – Details)
ASIN : B0D89XN6Y2
Publisher : Apress; First Edition (September 29, 2024)
Language : English
Paperback : 871 pages
ISBN-13 : 979-8868805547
Item Weight : 2.64 pounds
Dimensions : 6.14 x 1.73 x 9.21 inches
Java Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKS
In today’s rapidly evolving technology landscape, the adoption of microservices architecture and containerization has become increasingly popular among software development teams. Java, being one of the most widely used programming languages, is a natural choice for building microservices. When combined with powerful tools like Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform, and AWS EKS, Java microservices can be deployed and managed efficiently in the cloud.
Spring Boot, a popular Java framework, provides a streamlined way to create stand-alone, production-grade Spring-based Applications. It simplifies the development of microservices by offering out-of-the-box features such as embedded servers, metrics, health checks, and externalized configuration. With Spring Boot, developers can focus on writing business logic without getting bogged down by boilerplate code.
Kafka, an event streaming platform, is often used in microservices architecture to facilitate communication between services. It allows for real-time data processing, event-driven architectures, and scalable message queuing. By integrating Kafka into Java microservices, developers can build resilient and responsive applications that can handle high volumes of data.
PostgreSQL, a powerful open-source relational database, is a popular choice for storing and managing data in microservices applications. Its support for complex queries, transactions, and data integrity makes it a reliable backend for Java microservices. By leveraging PostgreSQL, developers can ensure data consistency and durability in their applications.
Kubernetes, an open-source container orchestration platform, provides a robust infrastructure for deploying, scaling, and managing containerized applications. With Kubernetes, Java microservices can be easily deployed across multiple nodes, monitored for health and performance, and automatically scaled based on workload demands.
Helm, a package manager for Kubernetes, simplifies the deployment of complex applications by defining them as reusable charts. By creating Helm charts for Java microservices, developers can package their applications, dependencies, and configurations into a single deployable unit, making it easier to manage and update them in a Kubernetes environment.
Terraform, an infrastructure as code tool, enables developers to define and provision cloud resources using a declarative configuration language. By using Terraform to define the infrastructure for Java microservices, developers can automate the deployment of cloud resources, ensuring consistency and repeatability across environments.
AWS EKS (Elastic Kubernetes Service), a managed Kubernetes service provided by Amazon Web Services, offers a scalable and secure platform for running containerized applications in the cloud. By deploying Java microservices on AWS EKS, developers can take advantage of AWS’s robust infrastructure, security features, and managed services, allowing them to focus on developing and delivering high-quality applications.
In conclusion, Java microservices and containers in the cloud, when combined with tools like Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform, and AWS EKS, offer a powerful and efficient way to build, deploy, and manage modern applications. By leveraging these technologies and best practices, development teams can create scalable, resilient, and secure microservices architectures that meet the demands of today’s fast-paced digital economy.
#Java #Microservices #Containers #Cloud #Spring #Boot #Kafka #PostgreSQL #Kubernetes #Helm #Terraform #AWS #EKS, Cloud Computing
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