Advanced model deployments with TensorFlow Serving Presentation.pdf
Kubernetes has continued to grow and achieve broad adoption across various industries, helping you to orchestrate and automate container deployments on a massive scale. This book will give you a complete understanding of Kubernetes and how to get a cluster up and running. You will develop an understanding of the installation and configuration process. The book will then focus on the core Kubernetes constructs such as pods, services, replica sets, replication controllers, and labels. You will also understand how cluster level networking is done in Kubernetes. The book will also show you how to manage deployments and perform updates with minimal downtime. Additionally, you will learn about operational aspects of Kubernetes such as monitoring and logging. Advanced concepts such as container security and cluster federation will also be covered. Finally, you will learn about the wider Kubernetes ecosystem with OCP, CoreOS, and Tectonic and explore the third-party extensions and tools that can be used with Kubernetes.
Build your own cloud based Database as a Service using OpenStack Trove About This Book Familiarize yourself with the concept of Database as a Service and make your existing system scalable and efficient with OpenStack Trove Minimize the administrative tasks and complexities of managing your cloud infrastructure This is a fast-paced guide to datastore management on the OpenStack platform using OpenStack Trove Who This Book Is For If you are a DBA / system administrator / architect, or a student who wants to build a Database as a Service based on OpenStack, this book is for you. You should have a basic knowledge of OpenStack components, RDBMS/NoSQL, IaaS, and cloud computing. What You Will Learn Get to grips with the basics of OpenStack and the prerequisites to install Trove Understand the expectations of DBaaS and how Trove can help you achieve them Set up a basic installation of DevStack (Development Stack) in a virtual box Install Trove and utilize its configuration groups to manage and tune databases Use Image builder to create guest images for Trove Utilize Trove to provision your first database instance Back up and restore your databases with the help of Trove In Detail OpenStack has become an extremely popular solution to build public and private clouds with. Database as a Service (DBaaS) enables the delivery of more agile database services at lower costs. Some other benefits of DBaaS are secure database deployments and compliance to standards and best practices. Trove is a DBaaS built on OpenStack and is becoming more popular by the day. Since Trove is one of the most recent projects of OpenStack, DBAs and system administrators can find it difficult to set up and run a DBaaS using OpenStack Trove. This book helps DBAs make that step. We start by introducing you to the concepts of DBaaS and how is it implemented using OpenStack Trove. Following this, we look at implementing OpenStack and deploying Trove. Moving on, you will learn to create guest images to be
是IEEE发布的802.11s的官方文档 The wireless local area network standard IEEE 802.11 is the preferred solution for lowcost data services. Key to its success are the 2.4 and 5 GHz unlicensed bands. The transmit power limitations imposed due to regulatory requirements limit the range (coverage) that can be achieved by WLANs in these bands. However, the demand for “larger” wireless infrastructure is emerging, ranging from office/university campuses to city-wide deployments. To overcome the limitations of singlehop communication, data packets need to traverse over multiple wireless hops, and wireless mesh networks are called for. Since 2004 Task Group S has been developing an amendment to the 802.11 standard to exactly address the aforementioned need for multihop communication. Besides introducing wireless frame forwarding and routing capabilities at the MAC layer, the 802.11s amendment brings new interworking and security. In this article, we provide insights into the latest developments in 802.11s and explain how the overall mesh concept fits into the 802 set of networking standards.
Table Of Contents 1. Introduction 1.1.Introduction 1.2.Introduction to vSAN networking 1.3.About this document 1.4.Physical NICs Support Statements 1.5.Stretched Cluster vs. Fault Domains Statements 1.6.Layer-2 and Layer-3 Support Statements 1.7.Multicast 1.8.Unicast 1.9.Jumbo Frames 1.10.IPv6 support 1.11.TCP/IP Stacks 1.12.Static Routes 1.13.NSX 1.14.Flow Control 1.15.vSAN Network Port Requirements 2. NIC Teaming on the vSAN network 2.1.NIC Teaming on the vSAN network 2.2.Basic NIC Teaming 2.3.Advanced NIC Teaming 2.4.Dynamic LACP (Multiple physical uplinks, 1 vmknic) 2.5.Static LACP with Route based on IP Hash 3. NIC Teaming Configuration Examples 3.1.Configuration 1 3.2.Configuration 2 3.3.Configuration 3 3.4.Configuration 4 4. Network I/O Control 4.1.Network I/O Control 4.2.Enabling NIOC 4.3.Reservation, Shares and Limits 4.4.Network Resource Pools 4.5.NIOC Configuration Example 5. vSAN Network Topologies 5.1.vSAN Network Topologies 5.2.Standard Deployments 5.3.Stretched Cluster Deployments 5.4.2 Node vSAN Deployments 5.5.2 Node vSAN Deployments – Common Config Questions 2 Copyright © 2020 VMware, Inc. All rights reserved. VMware® vSAN™ Network Design 5.6.Config of network from data sites to witness host 5.7.Corner Case deployments 6. vSAN iSCSI Target - VIT 6.1.vSAN iSCSI Target - VIT 6.2.VIT Internals 6.3.iSCSI Setup Steps 6.4.MPIO considerations 6.5.iSCSI on vSAN Limitations and Considerations 7. Appendix A 7.1.Migrating from standard to distributed vSwitch 7.2.Step A.1 Create Distributed Switch 7.3.Step A.2 Create port groups 7.4.Step A.3 Migrate Management Network 7.5.Step A.4 Migrate vMotion 7.6.Step A.5 Migrate vSAN Network 7.7.Step A.6 Migrate VM Network 8. Appendix B 8.1.Appendix B. Troubleshooting the vSAN Network 8.2.Network Health Checks 8.3.All hosts have a vSAN vmknic configured 8.4.All hosts have matching multicast settings 8.5.All hosts have matching subnets 8.6.Hosts disconnected from VC 8.7.Hosts with connectivity issues 8.8.Multicast assessment based on other checks 8.9.Network Latency Check 8.10.vMotion: Basic (unicast) connectivity check 8.11.vMotion: MTU checks (ping with large packet size) 8.12.vSAN cluster partition 8.13.vSAN: Basic (unicast) connectivity check 8.14.vSAN: MTU check (ping with large packet size) 8.15.Checking the vSAN network is operational 8.16.Checking multicast communications 8.17.Checking performance of vSAN network 8.18.Checking vSAN network limits 8.19.Physical network switch feature interoperability 9. Appendix C 9.1.Appendix C: Checklist summary for vSAN networking 10. Appendix D 10.1.Appendix D: vSAN 6.6 versioning change 11. Appendix E 3 Copyright © 2020 VMware, Inc. All rights reserved. VMware® vSAN™ Network Design 11.1.vCenter Recovery Example with Unicast vSAN 11.2.vSAN Node preparation 11.3.vCenter Preparation 11.4.Adding vSAN nodes to vCenter 12. Appendix F 12.1.Boot Strapping a vSAN 6.6 unicast cluster 13. Switch and NIC Performance 13.1.NIC performance considerations 13.2.NIC Features and Performance
Docker in Action.pdf2018-07-29
Docker in Action teaches readers how to create, deploy, and manage applications hosted in Docker containers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The idea behind Docker is simple. Create a tiny virtual environment, called a container, that holds just your application and its dependencies. The Docker engine uses the host operating system to build and account for these containers. They are easy to install, manage, and remove. Applications running inside containers share resources, making their footprints small. About the Book Docker in Action teaches readers how to create, deploy, and manage applications hosted in Docker containers. After starting with a clear explanation of the Docker model, you will learn how to package applications in containers, including techniques for testing and distributing applications. You will also learn how to run programs securely and how to manage shared resources. Using carefully designed examples, the book teaches you how to orchestrate containers and applications from installation to removal. Along the way, you'll discover techniques for using Docker on systems ranging from dev-and-test machines to full-scale cloud deployments. What's Inside Packaging containers for deploymentInstalling, managing, and removing containersWorking with Docker imagesDistributing with DockerHub About the Reader Readers need only have a working knowledge of the Linux OS. No prior knowledge of Docker is assumed. About the Author Jeff Nickoloff, a software engineer, has presented Docker and its applications to hundreds of developers and administrators at Desert Code Camp, Amazon.com, and technology meetups. Table of Contents PART 1 KEEPING A TIDY COMPUTERWelcome to DockerRunning software in containersSoftware installation simplifiedPersistent storage and shared state with volumesNetwork exposureLimiting risk with isolationPART 2 PACKAGING SOFTWARE FOR DISTRIBUTIONPackaging software in imagesBuild automation and advanced image considerationsPublic and private software distributionRunning customized registriesPART 3 MULTI-CONTAINER AND MULTI-HOST ENVIRONMENTSDeclarative environments with DockerClusters with Machine and Swarm
Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide About This Book New to ElasticSearch? Here's what you need―a highly practical guide that gives you a quick start with ElasticSearch using easy-to-follow examples; get up and running with ElasticSearch APIs in no time Get the latest guide on ElasticSearch 2.0.0, which contains concise and adequate information on handling all the issues a developer needs to know while handling data in bulk with search relevancy Learn to create large-scale ElasticSearch clusters using best practices Learn from our experts―written by Bharvi Dixit who has extensive experience in working with search servers (especially ElasticSearch) Who This Book Is For Anyone who wants to build efficient search and analytics applications can choose this book. This book is also beneficial for skilled developers, especially ones experienced with Lucene or Solr, who now want to learn Elasticsearch quickly. What You Will Learn Get to know about advanced Elasticsearch concepts and its REST APIs Write CRUD operations and other search functionalities using the ElasticSearch Python and Java clients Dig into wide range of queries and find out how to use them correctly Design schema and mappings with built-in and custom analyzers Excel in data modeling concepts and query optimization Master document relationships and geospatial data Build analytics using aggregations Setup and scale Elasticsearch clusters using best practices Learn to take data backups and secure Elasticsearch clusters In Detail With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also
Sleepycat Software makes Berkeley DB, the most widely used open source developer database in the world with over 200 million deployments. Customers such as Amazon.com, AOL, Cisco Systems, EMC, Google, Hitachi, HP, Motorola, RSA Security, Sun Microsystems, TIBCO and VERITAS also rely on Berkeley DB for fast, scalable, reliable and cost-effective data management for their mission-critical applications. Proﬁ table since it was founded in 1996, Sleepycat is a privately held company with ofﬁ ces in California, Massachusetts and the United Kingdom.
This paper is for experienced application architects who work with Salesforce deployments that contain large data volumes. A “large data volume” is an imprecise, elastic term. If your deployment has tens of thousands of users, tens of millions of records, or hundreds of gigabytes of total record storage, you have a large data volume. Even if you work with smaller deployments, you can still learn something from these best practices. To understand the parts of this paper that deal with details of Salesforce implementation, read https://developer.salesforce.com/page/Multi_Tenant_Architecture.
Docker-in-Action.pdf In 2011, I started working at Amazon.com. In that first week my life was changed as I learned how to use their internal build, dependency modeling, and deployment tool- ing. This was the kind of automated management I had always known was possible but had never seen. I was coming from a team that would deploy quarterly and take 10 hours to do so. At Amazon I was watching rolling deployments push changes I had made earlier that day to hundreds of machines spread all over the globe. If big tech firms had an engineering advantage over the rest of the corporate landscape, this was it. Early in 2013, I wanted to work with Graphite (a metrics collection and graphing suite). One day I sat down to install the software and start integrating a personal proj- ect. At this point I had several years of experience working with open source applica- tions, but few were as dependent on such large swaths of the Python ecosystem. The installation instructions were long and murky. Over the next several hours, I discov- ered many undocumented installation steps. These were things that might have been more obvious to a person with deeper Python ecosystem knowledge. After pouring over several installation guides, reading through configuration files, and fighting an epic battle through the deepest parts of dependency hell, I threw in the towel. Those had been some of the least inspiring hours of my life. I wanted nothing to do with the project. To make matters worse, I had altered my environment in a way that was incompatible with other software that I use regularly. Reverting those changes took an embarrassingly long time. I distinctly remember sitting at my desk one day in May that year. I was between tasks when I decided to check Hacker News for new ways to grow my skillset. Articles about a technology called Docker had made the front page a few times that week. That evening I decided to check it out. I hit the site and had the software installed within a few minute
Mastering Ansible - Second Edition.pdf2018-04-12
Mastering Ansible - Second Edition by Jesse Keating English | 30 Mar. 2017 | ISBN 978-1-78712-568-1 | 303 Pages | PDF | 18.1 MB Key Features Learn how to extend Ansible with custom modules, plugins, and inventory sources Utilize advanced Ansible features to orchestrate rolling updates with little to no service disruptions An up-to-date book that brings to light the newly added features in Ansible 2.x Book Description This book provides you with the knowledge you need to understand how Ansible 2.1 works at a fundamental level and leverage its advanced capabilities. You'll learn how to encrypt Ansible content at rest and decrypt data at runtime. You will master the advanced features and capabilities required to tackle the complex automation challenges of today and beyond. You will gain detailed knowledge of Ansible workflows, explore use cases for advanced features, craft well thought out orchestrations, troubleshoot unexpected behaviour, and extend Ansible through customizations. Finally, you will discover the methods used to examine and debug Ansible operations, helping you to understand and resolve issues. By the end of the book, the readers will be able to unlock the true power of the Ansible automation engine and will tackle complex real world actions with ease. What you will learn Gain an in-depth understanding of how Ansible works under the covers Fully automate the Ansible playbook executions with encrypted data Access and manipulate variable data within playbooks Use Blocks to construct failure recovery or cleanup Explore the Playbook debugger and Ansible Console Troubleshoot unexpected behavior effectively Work with cloud infrastructure providers and container systems Develop custom modules, plugins, and dynamic inventory sources About the Author Jesse Keating is an accomplished Ansible user, contributor, and presenter. He has been an active member of the Linux and open source community for over fifteen years. He has firs
Hadoop MapReduce v2 Cookbook.pdf2016-11-22
What this book covers Chapter 1, Getting Hadoop Up and Running in a Cluster, explains how to install and run Hadoop both as a single node as well as a cluster. Chapter 2, Advanced HDFS, introduces a set of advanced HDFS operations that would be useful when performing large-scale data processing with Hadoop MapReduce as well as with non-MapReduce use cases. Chapter 3, Advanced Hadoop MapReduce Administration, explains how to change con gurations and security of a Hadoop installation and how to debug. Chapter 4, Developing Complex Hadoop MapReduce Applications, introduces you to several advanced Hadoop MapReduce features that will help you to develop highly customized, ef cient MapReduce applications. Chapter 5, Hadoop Ecosystem, introduces the other projects related to Hadoop such HBase, Hive, and Pig. Chapter 6, Analytics, explains how to calculate basic analytics using Hadoop. Chapter 7, Searching and Indexing, introduces you to several tools and techniques that you can use with Apache Hadoop to perform large-scale searching and indexing. Chapter 8, Classi cations, Recommendations, and Finding Relationships, explains how to implement complex algorithms such as classi cations, recommendations, and nding relationships using Hadoop. Chapter 9, Mass Text Data Processing, explains how to use Hadoop and Mahout to process large text datasets, and how to perform data preprocessing and loading operations using Hadoop. Chapter 10, Cloud Deployments: Using Hadoop on Clouds, explains how to use Amazon Elastic MapReduce (EMR) and Apache Whirr to deploy and execute Hadoop MapReduce, Pig, Hive, and HBase computations on cloud infrastructures.
This section has documentation on installing, using and administering JIRA. Developers and admins looking to extend JIRA should also consult the JIRA Space in Confluence. Here are some pointers to get you started: • Not yet downloaded JIRA? You can get it from the JIRA download page. • Setting up or installing JIRA? Start with the requirements and installation guide. • Upgrading JIRA? Follow the upgrading docs. Don't forget to set up an external database. • To learn about JIRA the best place to start is with the basic concepts of issues and projects. • Having problems or errors with JIRA? See debugging problems. • Looking to extend JIRA? Read extending JIRA or browse the API docs, before consulting the JIRA Space in Confluence. • The FAQ should cover any other questions you have. The documentation can also be viewed in PDF format, or downloaded as XML source for custom intranet deployments.
DevOps with Kubernetes 2nd Edition2019-03-02
Kubernetes has continued to grow and achieve broad adoption across various industries, helping you to orchestrate and automate container deployments on a massive scale. This book will give you a complete understanding of Kubernetes and how to get a cluster up and running. You will develop an unders
Mastering Django: Core is a completely revised and updated version of the original Django Book, written by Adrian Holovaty and Jacob Kaplan-Moss – the creators of Django. The main goal of this book is to make you a Django expert. By reading this book, you’ll learn the skills needed to develop powerful websites quickly, with code that is clean and easy to maintain. This book is also a programmer’s manual that provides complete coverage of the current Long Term Support (LTS) version of Django. For developers creating applications for commercial and business critical deployments, Mastering Django: Core provides a complete, up-to-date resource for Django 1.8LTS with a stable code-base, security fixes and support out to 2018.
Mastering Django Core.pdf2016-12-31
Delivers absolutely everything you will ever need to know to become a master Django programmer About This Book * Gain a complete understanding of Django-the most popular, Python-based web framework in the world * Gain the skills to successfully designing, developing, and deploying your app * This book is packaged with fully described code so you can learn the fundamentals and the advanced topics to get a complete understanding of all of Django's core functions Who This Book Is For This book assumes you have a basic understanding of the Internet and programming. Experience with Python or Django would be an advantage, but is not necessary. It is ideal for beginner to intermediate programmers looking for a fast, secure, scalable, and maintainable alternative web development platform to those based on PHP, Java, and dotNET. What You Will Learn * Use Django to access user-submitted form data, validate it, and work with it * Get to know advanced URLconf tips and tricks * Extend Django's template system with custom code * Define models and use the database API to create, retrieve, update, and delete records * Fully extend and customize the default implementation as per your project's needs * Test and deploy your Django application * Get to know more about Django's session, cache Framework, and middleware In Detail Mastering Django: Core is a completely revised and updated version of the original Django Book, written by Adrian Holovaty and Jacob Kaplan-Moss - the creators of Django. The main goal of this book is to make you a Django expert. By reading this book, you'll learn the skills needed to develop powerful websites quickly, with code that is clean and easy to maintain. This book is also a programmer's manual that provides complete coverage of the current Long Term Support (LTS) version of Django. For developers creating applications for commercial and business critical deployments, Mastering Django: Core provides a complete, up-to-date resource for Django 1.8 LTS with a stable code-base, security fixes and support out to 2018. Style and approach This comprehensive step-by-step practical guide offers a thorough understanding of all the web development concepts related to Django. In addition to explaining the features of Django, this book provides real-world experience on how these features fit together to build extraordinary apps. Table of Contents Chapter 1: Introduction to Django and Getting Started Chapter 2: Views and URLconfs Chapter 3: Templates Chapter 4: Models Chapter 5: The Django Admin Site Chapter 6: Forms Chapter 7: Advanced Views and URLconfs Chapter 8: Advanced Templates Chapter 9: Advanced Models Chapter 10: Generic Views Chapter 11: User Authentication in Django Chapter 12: Testing in Django Chapter 13: Deploying Django Chapter 14: Generating Non-HTML Content Chapter 15: Django Sessions Chapter 16: Djangos Cache Framework Chapter 17: Django Middleware Chapter 18: Internationalization Chapter 19: Security in Django Chapter 20: More on Installing Django Chapter 21: Advanced Database Management Appendix A: Model Definition Reference Appendix B: Database API Reference Appendix C: Generic View Reference Appendix D: Settings Appendix E: Built-in Template Tags and Filters Appendix F: Request and Response Objects Appendix G: Developing Django with Visual Studio
5G System Design.pdf2019-05-26
This book provides a comprehensive overview of the latest research and standardization progress towards the 5th generation (5G) of mobile communications technology and beyond. It covers a wide range of topics from 5G use cases and their requirements, to spectrum, 5G end-to-end (E2E) system architecture including core network (CN), transport network (TN) and radio access network (RAN) architecture, network slicing, security and network management. It further dives into the detailed functional design and the evaluation of different 5G concepts, and provides details on planned trials and pre-commercial deployments across the globe. While the book naturally captures the latest agreements in 3rd Generation Partnership Project (3GPP) New Radio (NR) Release 15, it goes significantly beyond this by describing the likely developments towards the final 5G system that will ultimately utilize a wide range of spectrum bands, address all envisioned 5G use cases, and meet or exceed the International Mobile Telecommunications (IMT) requirements for the year 2020 and beyond (IMT-2020). 5G System Design: Architectural and Functional Considerations and Long Term Research is based on the knowledge and consensus from 158 leading researchers and standardization experts from 54 companies or institutes around the globe, representing key mobile network operators, network vendors, academic institutions and regional bodies for 5G. Different from earlier books on 5G, it does not focus on single 5G technology components, but describes the full 5G system design from E2E architecture to detailed functional design, including details on 5G performance, implementation and roll-out.