› › Building Applications On Mesos

Building Applications on Mesos

Author : David Greenberg

Publisher : "O'Reilly Media, Inc."

Page : 163 pages

File Size : 40,27 MB

Release : 2015-12-07

Category : Computers

ISBN : 1491926589

Get eBook

Book Description

How can Apache Mesos make a difference in your organization? With this practical guide, you’ll learn how this cluster manager directs your datacenter’s resources, and provides real time APIs for interacting with (and developing for) the entire cluster. You’ll learn how to use Mesos as a deployment system, like Ansible or Chef, and as an execution platform for building and hosting higher-level applications, like Hadoop. Author David Greenberg shows you how Mesos manages your entire datacenter as a single logical entity, eliminating the need to assign fixed sets of machines to applications. You’ll quickly discover why Mesos is the ultimate DevOps tool. Understand Mesos architecture, and learn how it manages CPU, memory, and other resources across a cluster Build an application on top of Mesos with Marathon, a platform for hosting services on Mesos Create new, production-ready frameworks for Mesos Write a custom executor to provide richer interaction between the Mesos scheduler and workers Dive into advanced topics, including the reconciliation process, Docker integration, dynamic reservations, and persistent volumes Learn about today’s Mesos initiatives that will likely become tomorrow’s features



Building Applications on Mesos

Author : David Greenberg

Publisher : "O'Reilly Media, Inc."

Page : 155 pages

File Size : 14,19 MB

Release : 2015-12-07

Category : Computers

ISBN : 1491926570

Get eBook

Book Description

How can Apache Mesos make a difference in your organization? With this practical guide, you’ll learn how this cluster manager directs your datacenter’s resources, and provides real time APIs for interacting with (and developing for) the entire cluster. You’ll learn how to use Mesos as a deployment system, like Ansible or Chef, and as an execution platform for building and hosting higher-level applications, like Hadoop. Author David Greenberg shows you how Mesos manages your entire datacenter as a single logical entity, eliminating the need to assign fixed sets of machines to applications. You’ll quickly discover why Mesos is the ultimate DevOps tool. Understand Mesos architecture, and learn how it manages CPU, memory, and other resources across a cluster Build an application on top of Mesos with Marathon, a platform for hosting services on Mesos Create new, production-ready frameworks for Mesos Write a custom executor to provide richer interaction between the Mesos scheduler and workers Dive into advanced topics, including the reconciliation process, Docker integration, dynamic reservations, and persistent volumes Learn about today’s Mesos initiatives that will likely become tomorrow’s features



Apache Mesos Cookbook

Author : David Blomquist

Publisher :

Page : 247 pages

File Size : 35,54 MB

Release : 2017-04-28

Category :

ISBN : 9781785884627

Get eBook

Book Description

Over 50 recipes on the core features of Apache Mesos and running big data frameworks in MesosAbout This Book* Learn to install and configure Mesos to suit the needs of your organization* Follow step-by-step instructions to deploy application frameworks on top of Mesos, saving you many hours of research and trial and error* Use this practical guide packed with powerful recipes to implement Mesos and easily integrate it with other application frameworksWho This Book Is ForThis book is for system administrators, engineers, and big data programmers. Basic experience with big data technologies such as Hadoop or Spark would be useful but is not essential. A working knowledge of Apache Mesos is expected.What you will learn* Set up Mesos on different operating systems* Use the Marathon and Chronos frameworks to manage multiple applications* Work with Mesos and Docker* Integrate Mesos with Spark and other big data frameworks* Use networking features in Mesos for effective communication between containers* Configure Mesos for high availability using Zookeeper* Secure your Mesos clusters with SASL and Authorization ACLs* Solve everyday problems and discover the best practicesIn DetailApache Mesos is open source cluster sharing and management software. Deploying and managing scalable applications in large-scale clustered environments can be difficult, but Apache Mesos makes it easier with efficient resource isolation and sharing across application frameworks.The goal of this book is to guide you through the practical implementation of the Mesos core along with a number of Mesos supported frameworks. You will begin by installing Mesos and then learn how to configure clusters and maintain them. You will also see how to deploy a cluster in a production environment with high availability using Zookeeper.Next, you will get to grips with using Mesos, Marathon, and Docker to build and deploy a PaaS. You will see how to schedule jobs with Chronos. We'll demonstrate how to integrate Mesos with big data frameworks such as Spark, Hadoop, and Storm. Practical solutions backed with clear examples will also show you how to deploy elastic big data jobs.You will find out how to deploy a scalable continuous integration and delivery system on Mesos with Jenkins. Finally, you will configure and deploy a highly scalable distributed search engine with ElasticSearch.Throughout the course of this book, you will get to know tips and tricks along with best practices to follow when working with Mesos.



Mastering Mesos

Author : Dipa Dubhashi

Publisher : Packt Publishing Ltd

Page : 352 pages

File Size : 31,98 MB

Release : 2016-05-26

Category : Computers

ISBN : 1785885375

Get eBook

Book Description

The ultimate guide to managing, building, and deploying large-scale clusters with Apache Mesos About This Book Master the architecture of Mesos and intelligently distribute your task across clusters of machines Explore a wide range of tools and platforms that Mesos works with This real-world comprehensive and robust tutorial will help you become an expert Who This Book Is For The book aims to serve DevOps engineers and system administrators who are familiar with the basics of managing a Linux system and its tools What You Will Learn Understand the Mesos architecture Manually spin up a Mesos cluster on a distributed infrastructure Deploy a multi-node Mesos cluster using your favorite DevOps See the nuts and bolts of scheduling, service discovery, failure handling, security, monitoring, and debugging in an enterprise-grade, production cluster deployment Use Mesos to deploy big data frameworks, containerized applications, or even custom build your own applications effortlessly In Detail Apache Mesos is open source cluster management software that provides efficient resource isolations and resource sharing distributed applications or frameworks. This book will take you on a journey to enhance your knowledge from amateur to master level, showing you how to improve the efficiency, management, and development of Mesos clusters. The architecture is quite complex and this book will explore the difficulties and complexities of working with Mesos. We begin by introducing Mesos, explaining its architecture and functionality. Next, we provide a comprehensive overview of Mesos features and advanced topics such as high availability, fault tolerance, scaling, and efficiency. Furthermore, you will learn to set up multi-node Mesos clusters on private and public clouds. We will also introduce several Mesos-based scheduling and management frameworks or applications to enable the easy deployment, discovery, load balancing, and failure handling of long-running services. Next, you will find out how a Mesos cluster can be easily set up and monitored using the standard deployment and configuration management tools. This advanced guide will show you how to deploy important big data processing frameworks such as Hadoop, Spark, and Storm on Mesos and big data storage frameworks such as Cassandra, Elasticsearch, and Kafka. Style and approach This advanced guide provides a detailed step-by-step account of deploying a Mesos cluster. It will demystify the concepts behind Mesos.





Production-Ready Microservices

Author : Susan J. Fowler

Publisher : "O'Reilly Media, Inc."

Page : 172 pages

File Size : 14,61 MB

Release : 2016-11-30

Category : Computers

ISBN : 1491965940

Get eBook

Book Description

One of the biggest challenges for organizations that have adopted microservice architecture is the lack of architectural, operational, and organizational standardization. After splitting a monolithic application or building a microservice ecosystem from scratch, many engineers are left wondering what’s next. In this practical book, author Susan Fowler presents a set of microservice standards in depth, drawing from her experience standardizing over a thousand microservices at Uber. You’ll learn how to design microservices that are stable, reliable, scalable, fault tolerant, performant, monitored, documented, and prepared for any catastrophe. Explore production-readiness standards, including: Stability and Reliability: develop, deploy, introduce, and deprecate microservices; protect against dependency failures Scalability and Performance: learn essential components for achieving greater microservice efficiency Fault Tolerance and Catastrophe Preparedness: ensure availability by actively pushing microservices to fail in real time Monitoring: learn how to monitor, log, and display key metrics; establish alerting and on-call procedures Documentation and Understanding: mitigate tradeoffs that come with microservice adoption, including organizational sprawl and technical debt



Fast Data Processing Systems with SMACK Stack

Author : Raul Estrada

Publisher : Packt Publishing Ltd

Page : 371 pages

File Size : 28,50 MB

Release : 2016-12-22

Category : Computers

ISBN : 1786468069

Get eBook

Book Description

Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the hardest of your data troubles! About This Book This highly practical guide shows you how to use the best of the big data technologies to solve your response-critical problems Learn the art of making cheap-yet-effective big data architecture without using complex Greek-letter architectures Use this easy-to-follow guide to build fast data processing systems for your organization Who This Book Is For If you are a developer, data architect, or a data scientist looking for information on how to integrate the Big Data stack architecture and how to choose the correct technology in every layer, this book is what you are looking for. What You Will Learn Design and implement a fast data Pipeline architecture Think and solve programming challenges in a functional way with Scala Learn to use Akka, the actors model implementation for the JVM Make on memory processing and data analysis with Spark to solve modern business demands Build a powerful and effective cluster infrastructure with Mesos and Docker Manage and consume unstructured and No-SQL data sources with Cassandra Consume and produce messages in a massive way with Kafka In Detail SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle critical real-time analytics for big data. This highly practical guide will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing. We'll start off with an introduction to SMACK and show you when to use it. First you'll get to grips with functional thinking and problem solving using Scala. Next you'll come to understand the Akka architecture. Then you'll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you'll learn how to perform linear scalability in databases with Apache Cassandra. You'll grasp the high throughput distributed messaging systems using Apache Kafka. We'll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different aspect of SMACK using a few case studies. By the end of the book, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly effective and fast data processing. Style and approach With the help of various industry examples, you will learn about the full stack of big data architecture, taking the important aspects in every technology. You will learn how to integrate the technologies to build effective systems rather than getting incomplete information on single technologies. You will learn how various open source technologies can be used to build cheap and fast data processing systems with the help of various industry examples



Microservices Deployment Cookbook

Author : Vikram Murugesan

Publisher : Packt Publishing Ltd

Page : 374 pages

File Size : 15,32 MB

Release : 2017-01-31

Category : Computers

ISBN : 1786461315

Get eBook

Book Description

Master over 60 recipes to help you deliver complete, scalable, microservice-based solutions and see the improved business results immediately About This Book Adopt microservices-based architecture and deploy it at scale Build your complete microservice architecture using different recipes for different solutions Identify specific tools for specific scenarios and deliver immediate business results, correlate use cases, and adopt them in your team and organization Who This Book Is For This book is for developers, ops, and DevOps professionals who would like to put microservices to work and improve products, services, and operations. Those looking to build and deploy microservices will find this book useful, as well as managers and people at CXO level looking to adopt microservices in their organization. Prior knowledge of Java is expected. No prior knowledge of microservices is assumed. What You Will Learn Build microservices using Spring Boot, Wildfly Swarm, Dropwizard, and SparkJava Containerize your microservice using Docker Deploy microservices using Mesos/Marathon and Kubernetes Implement service discovery and load balancing using Zookeeper, Consul, and Nginx Monitor microservices using Graphite and Grafana Write stream programs with Kafka Streams and Spark Aggregate and manage logs using Kafka Get introduced to DC/OS, Docker Swarm, and YARN In Detail This book will help any team or organization understand, deploy, and manage microservices at scale. It is driven by a sample application, helping you gradually build a complete microservice-based ecosystem. Rather than just focusing on writing a microservice, this book addresses various other microservice-related solutions: deployments, clustering, load balancing, logging, streaming, and monitoring. The initial chapters offer insights into how web and enterprise apps can be migrated to scalable microservices. Moving on, you'll see how to Dockerize your application so that it is ready to be shipped and deployed. We will look at how to deploy microservices on Mesos and Marathon and will also deploy microservices on Kubernetes. Next, you will implement service discovery and load balancing for your microservices. We'll also show you how to build asynchronous streaming systems using Kafka Streams and Apache Spark. Finally, we wind up by aggregating your logs in Kafka, creating your own metrics, and monitoring the metrics for the microservice. Style and approach This book follows a recipe-driven approach and shows you how to plug and play with all the various pieces, putting them together to build a complete scalable microservice ecosystem. You do not need to study the chapters in order, as you can directly refer to the content you need for your situation.



Internet and Distributed Computing Systems

Author : Raffaele Montella

Publisher : Springer Nature

Page : 526 pages

File Size : 41,3 MB

Release : 2019-11-09

Category : Computers

ISBN : 3030349144

Get eBook

Book Description

This book constitutes the proceedings of the 12th International Conference on Internet and Distributed Systems held in Naples, Italy, in October 2019. The 47 revised full papers presented were carefully reviewed and selected from 145 submissions. This conference desires to look for inspiration in diverse areas (e.g. infrastructure & system design, software development, big data, control theory, artificial intelligence, IoT, self-adaptation, emerging models, paradigms, applications and technologies related to Internet-based distributed systems) to develop new ways to design and manage such complex and adaptive computation resources.



Cloud Native Applications with Ballerina

Author : Dhanushka Madushan

Publisher : Packt Publishing Ltd

Page : 498 pages

File Size : 32,20 MB

Release : 2021-10-29

Category : Computers

ISBN : 1800206658

Get eBook

Book Description

Learn how to build scalable cloud native applications with the new-generation Ballerina language using expert tips and best practices Key FeaturesWork with code samples based on the Ballerina Swan Lake Beta1 versionExplore the in-built networking protocol support in Ballerina to develop secure distributed appsBuild a Ballerina app with an automated CI/CD pipeline with observability to simplify maintenance and deploymentBook Description The Ballerina programming language was created by WSO2 for the modern needs of developers where cloud native development techniques have become ubiquitous. Ballerina simplifies how programmers develop and deploy cloud native distributed apps and microservices. Cloud Native Applications with Ballerina will guide you through Ballerina essentials, including variables, types, functions, flow control, security, and more. You'll explore networking as an in-built feature in Ballerina, which makes it a first-class language for distributed computing. With this app development book, you'll learn about different networking protocols as well as different architectural patterns that you can use to implement services on the cloud. As you advance, you'll explore multiple design patterns used in microservice architecture and use serverless in Amazon Web Services (AWS) and Microsoft Azure platforms. You will also get to grips with Docker, Kubernetes, and serverless platforms to simplify maintenance and the deployment process. Later, you'll focus on the Ballerina testing framework along with deployment tools and monitoring tools to build fully automated observable cloud applications. By the end of this book, you will have learned how to apply the Ballerina language for building scalable, resilient, secured, and easy-to-maintain cloud native Ballerina projects and applications. What you will learnUnderstand the concepts and models in cloud native architectureGet to grips with the high-level concepts of building applications with the Ballerina languageUse cloud native architectural design patterns to develop cloud native Ballerina applicationsDiscover how to automate, maintain, and observe cloud native Ballerina applicationsUse a container to deploy and maintain a Ballerina application with Docker and KubernetesExplore serverless architecture and use Microsoft Azure and the AWS platform to build serverless applicationsWho this book is for This Ballerina Swan Lake book is for cloud developers, integration developers, and microservices developers who are facing challenges with legacy tooling and are looking for the latest tools and technologies to solve them. Beginner-level programming knowledge is required before getting started with this Ballerina book.