After installation of hazelcast and adding to Java Build Path, you can write Main. It is compatible with Java versions 1. Installation and setup is as simple as downloading the zip or tar archive, copying the uncompressed directory to a desired installation directory, and adding the jar to your Java class path. You should now be able to start the hazelcast server to check your installation by executing the start script.
What you will learn Create full stack apps from scratch using the latest features of JHipster 6 and Spring Boot 2. Experience in building Java web applications is required. Some exposure to the Spring Framework would be beneficial but not necessary to get the most out of this book. Key Features Build reliable and secure applications using Docker containers.
Create a highly available environment to scale a Docker servers using Kubernetes Implement advance continuous delivery process by parallelizing the pipeline tasks Book Description Continuous Delivery with Docker and Jenkins, Second Edition will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of an app development.
It will start with setting up a Docker server and configuring Jenkins on it. It will then provide steps to build applications on Docker files and integrate them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, and configuration management.
Moving on, you will learn how to ensure quick application deployment with Docker containers along with scaling Jenkins using Kubernetes. Next, you will get to know how to deploy applications using Docker images and testing them with Jenkins. Towards the end, the book will touch base with missing parts of the CD pipeline, which are the environments and infrastructure, application versioning, and nonfunctional testing.
By the end of the book, you will be enhancing the DevOps workflow by integrating the functionalities of Docker and Jenkins. What you will learn Get to grips with docker fundamentals and how to dockerize an application for the CD process Learn how to use Jenkins on the Cloud environments Scale a pool of Docker servers using Kubernetes Create multi-container applications using Docker Compose Write acceptance tests using Cucumber and run them in the Docker ecosystem using Jenkins Publish a built Docker image to a Docker Registry and deploy cycles of Jenkins pipelines using community best practices Who this book is for The book targets DevOps engineers, system administrators, docker professionals or any stakeholders who would like to explore the power of working with Docker and Jenkins together.
No prior knowledge of DevOps is required for this book. Highly available microservice-based web apps for Cloud with Java Key Features Take advantage of the simplicity of Spring to build a full-fledged application Let your applications run faster while generating smaller cloud service bills Integrate your application with various tools such as Docker and ElasticSearch and use specific tools in Azure and AWS Book Description Businesses today are evolving so rapidly that they are resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications.
This means developers now are faced with the challenge of building build applications that are native to the cloud. It will be your one stop guide to building cloud-native applications in Java Spring that are hosted in On-prem or cloud providers - AWS and Azure The book begins by explaining the driving factors for cloud adoption and shows you how cloud deployment is different from regular application deployment on a standard data centre. You will learn about design patterns specific to applications running in the cloud and find out how you can build a microservice in Java Spring using REST APIs You will then take a deep dive into the lifecycle of building, testing, and deploying applications with maximum automation to reduce the deployment cycle time.
By the end, you will understand how to build and monitor a scalable, resilient, and robust cloud native application that is always available and fault tolerant.
Some knowledge of Java, Spring, web programming and public cloud providers AWS, Azure should be sufficient to get you through the book. Over hands-on recipes to build web applications easily and efficiently IN Spring 5. Learn how to use dependency injection and aspect-oriented programming to write compartmentalized and testable code.
Understand when to choose between Spring MVC and Spring Web Reactive for your projects Who This Book Is For Java developers who would like to gain in-depth knowledge of how to overcome problems that they face while developing great Spring applications. It will also cater to Spring enthusiasts, users and experts who need an arena for comparative analysis, new ideas and inquiries on some details regarding Spring 5.
The upcoming version of the Spring Framework has a lot to offer, above and beyond the platform upgrade to Java 9, and this book will show you all you need to know to overcome common to advanced problems you might face. Each recipe will showcase some old and new issues and solutions, right from configuring Spring 5. Aside from the core components, this book will also include integration of third-party technologies that are mostly needed in building enterprise applications.
By the end of the book, the reader will not only be well versed with the essential concepts of Spring, but will also have mastered its latest features in a solution-oriented manner.
Style and Approach This book follows a cookbook style approach, presenting a problem and showing you how to overcome it with useful recipes.
The examples provided will help you code along as you learn. Developers with the ability to operate, troubleshoot, and monitor applications in Kubernetes are in high demand today.
To meet this need, the Cloud Native Computing Foundation created a certification exam to establish a developer's credibility and value in the job market to work in a Kubernetes environment. Instead, the CKAD is a performance-based exam that requires deep knowledge of the tasks under immense time pressure.
This study guide walks you through all the topics you need to fully prepare for the exam. Author Benjamin Muschko also shares his personal experience with preparing for all aspects of the exam. Learn when and how to apply Kubernetes concepts to manage an application Understand the objectives, abilities, tips, and tricks needed to pass the CKAD exam Explore the ins and outs of the kubectl command-line tool Demonstrate competency for performing the responsibilities of a Kubernetes application developer Solve real-world Kubernetes problems in a hands-on command-line environment Navigate and solve questions during the CKAD exam.
Apache Ignite is one of the most widely used open source memory-centric distributed, caching, and processing platform. This allows the users to use the platform as an in-memory computing framework or a full functional persistence data stores with SQL and ACID transaction support.
This book addressed anyone interested in learning in-memory computing and distributed database. This book intends to provide someone with little to no experience of Apache Ignite with an opportunity to learn how to use this platform effectively from scratch taking a practical hands-on approach to learning.
Please see the table of contents for more details. Written by core developers of Camel and the authors of the highly acclaimed first edition, this book distills their experience and practical insights so that you can tackle integration tasks like a pro. Forewords by James Strachan and Dr. About the Technology Apache Camel is a Java framework that implements enterprise integration patterns EIPs and comes with over adapters to third-party systems. Publisher resources Download Example Code.
Table of contents Product information. What is Hazelcast? Starting out as usual Data deciding to hang around Therein lies the problem Breaking the mould Moving to new ground Playing around with our data Summary 2. Getting off the Ground Let's get started Showing off straightaway Mapping back to the real world Sets, lists, and queues Many things at a time Searching and indexing What happens when we reach our limits?
Summary 3. Going Concurrent Atomic control Distributed locking Tactical locking Transactionally rolling on Differences when queuing Enterprising onwards Collectively counting up Spreading the word Summary 4. Divide and Conquer Divvying up the data Backups everywhere and nowhere Scaling up the cluster Having some of our data everywhere Grouping and separating nodes Network partitioning Maintaining quorum Summary 5.
Listening Out Listening to the goings-on The sound of our own data Continuously querying Listeners racing into action Keyless collections Programmatic configuration ahead of time Events unfolding in the wider world Moving data around the place Extending quorum Summary 6.
Spreading the Load All power to the compute Giving up when tasks take too long Running once, running everywhere Placing tasks next to the data Partitioning control by name Self-updating results In-place entry processing Summary 7.
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