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Elasticsearch 70 Cookbook
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Book Synopsis ElasticSearch Cookbook - Second Edition by : Alberto Paro
Download or read book ElasticSearch Cookbook - Second Edition written by Alberto Paro and published by Packt Publishing Ltd. This book was released on 2015-01-28 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a developer who implements ElasticSearch in your web applications and want to sharpen your understanding of the core elements and applications, this is the book for you. It is assumed that you’ve got working knowledge of JSON and, if you want to extend ElasticSearch, of Java and related technologies.
Book Synopsis Elasticsearch 7.0 Cookbook by : Alberto Paro
Download or read book Elasticsearch 7.0 Cookbook written by Alberto Paro and published by Packt Publishing Ltd. This book was released on 2019-04-30 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Search, analyze, and manage data effectively with Elasticsearch 7 Key FeaturesExtend Elasticsearch functionalities and learn how to deploy on Elastic CloudDeploy and manage simple Elasticsearch nodes as well as complex cluster topologiesExplore the capabilities of Elasticsearch 7 with easy-to-follow recipesBook Description Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics. Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins. By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch. What you will learnCreate an efficient architecture with ElasticsearchOptimize search results by executing analytics aggregationsBuild complex queries by managing indices and documentsMonitor the performance of your cluster and nodesDesign advanced mapping to take full control of index stepsIntegrate Elasticsearch in Java, Scala, Python, and big data applicationsInstall Kibana to monitor clusters and extend it for pluginsWho this book is for If you’re a software engineer, big data infrastructure engineer, or Elasticsearch developer, you'll find this book useful. This Elasticsearch book will also help data professionals working in the e-commerce and FMCG industry who use Elastic for metrics evaluation and search analytics to get deeper insights for better business decisions. Prior experience with Elasticsearch will help you get the most out of this book.
Book Synopsis Elasticsearch 8.x Cookbook by : Alberto Paro
Download or read book Elasticsearch 8.x Cookbook written by Alberto Paro and published by Packt Publishing Ltd. This book was released on 2022-05-27 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: Search, analyze, store and manage data effectively with Elasticsearch 8.x Key Features • Explore the capabilities of Elasticsearch 8.x with easy-to-follow recipes • Extend the Elasticsearch functionalities and learn how to deploy on Elastic Cloud • Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies Book Description Elasticsearch is a Lucene-based distributed search engine at the heart of the Elastic Stack that allows you to index and search unstructured content with petabytes of data. With this updated fifth edition, you'll cover comprehensive recipes relating to what's new in Elasticsearch 8.x and see how to create and run complex queries and analytics. The recipes will guide you through performing index mapping, aggregation, working with queries, and scripting using Elasticsearch. You'll focus on numerous solutions and quick techniques for performing both common and uncommon tasks such as deploying Elasticsearch nodes, using the ingest module, working with X-Pack, and creating different visualizations. As you advance, you'll learn how to manage various clusters, restore data, and install Kibana to monitor a cluster and extend it using a variety of plugins. Furthermore, you'll understand how to integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch and create efficient data applications powered by enhanced functionalities and custom plugins. By the end of this Elasticsearch cookbook, you'll have gained in-depth knowledge of implementing the Elasticsearch architecture and be able to manage, search, and store data efficiently and effectively using Elasticsearch. What you will learn • Become well-versed with the capabilities of X-Pack • Optimize search results by executing analytics aggregations • Get to grips with using text and numeric queries as well as relationship and geo queries • Install Kibana to monitor clusters and extend it for plugins • Build complex queries by managing indices and documents • Monitor the performance of your cluster and nodes • Design advanced mapping to take full control of index steps • Integrate Elasticsearch in Java, Scala, Python, and big data applications Who this book is for If you're a software engineer, big data infrastructure engineer, or Elasticsearch developer, you'll find this Elasticsearch book useful. The book will also help data professionals working in e-commerce and FMCG industries who use Elastic for metrics evaluation and search analytics to gain deeper insights and make better business decisions. Prior experience with Elasticsearch will help you get the most out of this book.
Book Synopsis Elasticsearch 5.x Cookbook by : Alberto Paro
Download or read book Elasticsearch 5.x Cookbook written by Alberto Paro and published by Packt Publishing Ltd. This book was released on 2017-02-06 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 170 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with Elasticsearch 5.x About This Book Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies Write native plugins to extend the functionalities of Elasticsearch 5.x to boost your business Packed with clear, step-by-step recipes to walk you through the capabilities of Elasticsearch 5.x Who This Book Is For If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the book for you. Some understanding of JSON is expected. If you want to extend Elasticsearch, understanding of Java and related technologies is also required. What You Will Learn Choose the best Elasticsearch cloud topology to deploy and power it up with external plugins Develop tailored mapping to take full control of index steps Build complex queries through managing indices and documents Optimize search results through executing analytics aggregations Monitor the performance of the cluster and nodes Install Kibana to monitor cluster and extend Kibana for plugins Integrate Elasticsearch in Java, Scala, Python and Big Data applications In Detail Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. This book is your one-stop guide to master the complete Elasticsearch ecosystem. We'll guide you through comprehensive recipes on what's new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping, aggregation, and scripting. Further on, you will explore the modules of Cluster and Node monitoring and see ways to back up and restore a snapshot of an index. You will understand how to install Kibana to monitor a cluster and also to extend Kibana for plugins. Finally, you will also see how you can integrate your Java, Scala, Python, and Big Data applications such as Apache Spark and Pig with Elasticsearch, and add enhanced functionalities with custom plugins. By the end of this book, you will have an in-depth knowledge of the implementation of the Elasticsearch architecture and will be able to manage data efficiently and effectively with Elasticsearch. Style and approach This book follows a problem-solution approach to effectively use and manage Elasticsearch. Each recipe focuses on a particular task at hand, and is explained in a very simple, easy to understand manner.
Download or read book NGINX Cookbook written by Tim Butler and published by Packt Publishing Ltd. This book was released on 2017-08-31 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical book on real-world NGINX deployments to get you up and running quickly. About This Book Be the first to immerse yourself in the NGINX 1.9x web server and explore the plethora of advanced features. Master the skills of load balancing TCP-based applications and implementing HTTP/2. A recipe-based approach book that provides you with up-to-date information on NGINX, allowing you to implement specific use cases immediately. Who This Book Is For This book is aimed at smaller-to-medium developers, who are just getting started with NGINX. It assumes they already understand the basics of how a web server works and how basic networking works. What You Will Learn Practical, real-world examples and recipes on how to use NGINX Common CMS deployments such as WordPress, Joomla and more NGINX configurations for frameworks such as Ruby on Rails, Django and more Detailed SSL recipes, including HTTP/2 Real world rewrite examples Basic web and TCP load balancing configuration Bandwidth management and connection limiting Detailed NGINX deployment scenarios with Docker Performance tuning and monitoring of your NGINX deployments OpenResty deployment guides Advanced deployments with NGINX Plus features In Detail NGINX Cookbook covers the basics of configuring NGINX as a web server for use with common web frameworks such as WordPress and Ruby on Rails, through to utilization as a reverse proxy. Designed as a go-to reference guide, this book will give you practical answers based on real-world deployments to get you up and running quickly. Recipes have also been provided for multiple SSL configurations, different logging scenarios, practical rewrites, and multiple load balancing scenarios. Advanced topics include covering bandwidth management, Docker container usage, performance tuning, OpenResty, and the NGINX Plus commercial features. By the time you've read this book, you will be able to adapt and use a wide variety of NGINX implementations to solve any problems you have.
Book Synopsis Digital Forensics and Incident Response by : Gerard Johansen
Download or read book Digital Forensics and Incident Response written by Gerard Johansen and published by Packt Publishing Ltd. This book was released on 2022-12-16 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incident response tools and techniques for effective cyber threat response Key Features Create a solid incident response framework and manage cyber incidents effectively Learn to apply digital forensics tools and techniques to investigate cyber threats Explore the real-world threat of ransomware and apply proper incident response techniques for investigation and recovery Book DescriptionAn understanding of how digital forensics integrates with the overall response to cybersecurity incidents is key to securing your organization’s infrastructure from attacks. This updated third edition will help you perform cutting-edge digital forensic activities and incident response with a new focus on responding to ransomware attacks. After covering the fundamentals of incident response that are critical to any information security team, you’ll explore incident response frameworks. From understanding their importance to creating a swift and effective response to security incidents, the book will guide you using examples. Later, you’ll cover digital forensic techniques, from acquiring evidence and examining volatile memory through to hard drive examination and network-based evidence. You’ll be able to apply these techniques to the current threat of ransomware. As you progress, you’ll discover the role that threat intelligence plays in the incident response process. You’ll also learn how to prepare an incident response report that documents the findings of your analysis. Finally, in addition to various incident response activities, the book will address malware analysis and demonstrate how you can proactively use your digital forensic skills in threat hunting. By the end of this book, you’ll be able to investigate and report unwanted security breaches and incidents in your organization.What you will learn Create and deploy an incident response capability within your own organization Perform proper evidence acquisition and handling Analyze the evidence collected and determine the root cause of a security incident Integrate digital forensic techniques and procedures into the overall incident response process Understand different techniques for threat hunting Write incident reports that document the key findings of your analysis Apply incident response practices to ransomware attacks Leverage cyber threat intelligence to augment digital forensics findings Who this book is for This book is for cybersecurity and information security professionals who want to implement digital forensics and incident response in their organizations. You’ll also find the book helpful if you’re new to the concept of digital forensics and looking to get started with the fundamentals. A basic understanding of operating systems and some knowledge of networking fundamentals are required to get started with this book.
Book Synopsis Kubernetes Cookbook by : Sébastien Goasguen
Download or read book Kubernetes Cookbook written by Sébastien Goasguen and published by "O'Reilly Media, Inc.". This book was released on 2018-02-14 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: If your organization is preparing to move toward a cloud-native computing architecture, this cookbook shows you how to successfully use Kubernetes, the de-facto standard for automating the deployment, scaling, and management of containerized applications. With more than 80 proven recipes, developers, system administrators, and architects will quickly learn how to get started with Kubernetes and understand its powerful API. Through the course of the book, authors Sébastien Goasguen and Michael Hausenblas provide several detailed solutions for installing, interacting with, and using Kubernetes in development and production. You'll learn how to adapt the system to your particular needs and become familiar with the wider Kubernetes ecosystem. Each standalone chapter features recipes written in O'Reilly's popular problem-solution-discussion format. Recipes in this cookbook focus on: Creating a Kubernetes cluster Using the Kubernetes command-line interface Managing fundamental workload types Working with services Exploring the Kubernetes API Managing stateful and non-cloud native apps Working with volumes and configuration data Cluster-level and application-level scaling Securing your applications Monitoring and logging Maintenance and troubleshooting.
Book Synopsis Elastic Stack 8.x Cookbook by : Huage Chen
Download or read book Elastic Stack 8.x Cookbook written by Huage Chen and published by Packt Publishing Ltd. This book was released on 2024-06-28 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environments Key Features Explore the diverse capabilities of the Elastic Stack through a comprehensive set of recipes Build search applications, analyze your data, and observe cloud-native applications Harness powerful machine learning and AI features to create data science and search applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLearn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step. Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system.What you will learn Discover techniques for collecting data from diverse sources Visualize data and create dashboards using Kibana to extract business insights Explore machine learning, vector search, and AI capabilities of Elastic Stack Handle data transformation and data formatting Build search solutions from the ingested data Leverage data science tools for in-depth data exploration Monitor and manage your system with Elastic Stack Who this book is for This book is for Elastic Stack users, developers, observability practitioners, and data professionals ranging from beginner to expert level. If you’re a developer, you’ll benefit from the easy-to-follow recipes for using APIs and features to build powerful applications, and if you’re an observability practitioner, this book will help you with use cases covering APM, Kubernetes, and cloud monitoring. For data engineers and AI enthusiasts, the book covers dedicated recipes on vector search and machine learning. No prior knowledge of the Elastic Stack is required.
Download or read book Lucene 4 Cookbook written by Edwood Ng and published by Packt Publishing Ltd. This book was released on 2015-06-26 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lucene 4 Cookbook is a practical guide that shows you how to build a scalable search engine for your application, from an internal documentation search to a wide-scale web implementation with millions of records. Starting with helping you to successfully install Apache Lucene, it will guide you through creating your first search application. Furthermore, the book walks you through analyzing your text and indexing your data to leverage the performance of your search application. As you progress through the chapters, you will learn to effectively search your indexes and successfully employ real-time searching. The chapters start off with simple concepts and build up to complex solutions that should help you on your way to becoming a search engine expert.
Book Synopsis Scala Data Analysis Cookbook by : Arun Manivannan
Download or read book Scala Data Analysis Cookbook written by Arun Manivannan and published by Packt Publishing Ltd. This book was released on 2015-10-30 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes About This Book Implement Scala in your data analysis using features from Spark, Breeze, and Zeppelin Scale up your data anlytics infrastructure with practical recipes for Scala machine learning Recipes for every stage of the data analysis process, from reading and collecting data to distributed analytics Who This Book Is For This book shows data scientists and analysts how to leverage their existing knowledge of Scala for quality and scalable data analysis. What You Will Learn Familiarize and set up the Breeze and Spark libraries and use data structures Import data from a host of possible sources and create dataframes from CSV Clean, validate and transform data using Scala to pre-process numerical and string data Integrate quintessential machine learning algorithms using Scala stack Bundle and scale up Spark jobs by deploying them into a variety of cluster managers Run streaming and graph analytics in Spark to visualize data, enabling exploratory analysis In Detail This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits. Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you'll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX. Style and approach This book contains a rich set of recipes that covers the full spectrum of interesting data analysis tasks and will help you revolutionize your data analysis skills using Scala and Spark.
Book Synopsis Natural Language Processing with Java Cookbook by : Richard M. Reese
Download or read book Natural Language Processing with Java Cookbook written by Richard M. Reese and published by Packt Publishing Ltd. This book was released on 2019-04-25 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: A problem-solution guide to encounter various NLP tasks utilizing Java open source libraries and cloud-based solutions Key FeaturesPerform simple-to-complex NLP text processing tasks using modern Java libraries Extract relationships between different text complexities using a problem-solution approach Utilize cloud-based APIs to perform machine translation operationsBook Description Natural Language Processing (NLP) has become one of the prime technologies for processing very large amounts of unstructured data from disparate information sources. This book includes a wide set of recipes and quick methods that solve challenges in text syntax, semantics, and speech tasks. At the beginning of the book, you'll learn important NLP techniques, such as identifying parts of speech, tagging words, and analyzing word semantics. You will learn how to perform lexical analysis and use machine learning techniques to speed up NLP operations. With independent recipes, you will explore techniques for customizing your existing NLP engines/models using Java libraries such as OpenNLP and the Stanford NLP library. You will also learn how to use NLP processing features from cloud-based sources, including Google and Amazon’s AWS. You will master core tasks, such as stemming, lemmatization, part-of-speech tagging, and named entity recognition. You will also learn about sentiment analysis, semantic text similarity, language identification, machine translation, and text summarization. By the end of this book, you will be ready to become a professional NLP expert using a problem-solution approach to analyze any sort of text, sentences, or semantic words. What you will learnExplore how to use tokenizers in NLP processing Implement NLP techniques in machine learning and deep learning applications Identify sentences within the text and learn how to train specialized NER models Learn how to classify documents and perform sentiment analysis Find semantic similarities between text elements and extract text from a variety of sources Preprocess text from a variety of data sources Learn how to identify and translate languagesWho this book is for This book is for data scientists, NLP engineers, and machine learning developers who want to perform their work on linguistic applications faster with the use of popular libraries on JVM machines. This book will help you build real-world NLP applications using a recipe-based approach. Prior knowledge of Natural Language Processing basics and Java programming is expected.
Download or read book Postman Cookbook written by Oliver James and published by GitforGits. This book was released on 2024-02-29 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: For developers, programmers, and DevOps engineers venturing into the hard world of API development, the "Postman Cookbook" becomes a must-read. This short solutions book offers recipes and troubleshooting approaches to address typical API lifecycle management challenges. Using Postman's rich features, readers of all skill levels will learn how to create APIs that will improve workflows, increase productivity, and lead to operational success. The book covers a wide range of topics, from the fundamentals of web-based communication to more complex topics including protocol stacks, secure communication protocols, and the dynamics of WebSockets interactions. The following sections cover advanced subjects such as custom protocol handling, network troubleshooting, and proxy management, allowing readers to confidently solve complex networking challenges. This book covers more than simply the technical aspects of Kubernetes. It discusses the influence of security measures, maximizing performance, and successful scaling solutions. These features are critical for microservice architectures and cloud-native apps. This book teaches early developers and programmers the foundations of API testing and development, including networking and protocols. Upon completion of this book, readers will have a thorough understanding of API development with Postman. They will be able to confidently handle the problems of modern computing. Key Learnings Enable real-time API connectivity for dynamic apps using WebSockets capability. Protect API endpoints from security flaws by configuring SSL/TLS in Postman. Define, implement, and debug bespoke protocols to connect proprietary systems to Postman. Master the art of network optimization and troubleshooting using Postman to ensure your API runs smoothly. Use Postman's proxy management to safely access APIs in a variety of network settings. Test APIs in Kubernetes and improve the deployment and development of microservices. Exploit Postman's features for thorough API tracking, logging, and analysis of performance. Secure API access with Postman's advanced authentication flows—OAuth, JWT, and more. Table of Content 1. Up and Running with Postman 2. Designing Simple to Complex APIs 3. Advanced API Requests and Workflows 4. Testing and Securing APIs 5. Managing GraphQL and gRPC with Postman 6. Continuous Integration and Deployment (CI/CD) 7. API Scalability and Performance 8. Integration with Third-Party Services 9. Working with Kubernetes and Microservices 10. API Networking and Protocols
Book Synopsis JavaScript Cloud Native Development Cookbook by : John Gilbert
Download or read book JavaScript Cloud Native Development Cookbook written by John Gilbert and published by Packt Publishing Ltd. This book was released on 2018-09-27 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master over 60 recipes to help you deliver completely scalable and serverless cloud-native applications Key FeaturesDevelop global scale and event-driven autonomous servicesContinuously deploy, test, observe, and optimize your servicesPractical Node.js recipes for serverless cloud-native developmentBook Description Cloud-native development is a modern approach to building and running applications that leverages the merits of the cloud computing model. With cloud-native development, teams can deliver faster and in a more lean and agile manner as compared to traditional approaches. This recipe-based guide provides quick solutions for your cloud-native applications. Beginning with a brief introduction, JavaScript Cloud-Native Development Cookbook guides you in building and deploying serverless, event-driven, cloud-native microservices on AWS with Node.js. You'll then move on to the fundamental patterns of developing autonomous cloud-native services and understand the tools and techniques involved in creating globally scalable, highly available, and resilient cloud-native applications. The book also covers multi-regional deployments and leveraging the edge of the cloud to maximize responsiveness, resilience, and elasticity. In the latter chapters you'll explore techniques for building fully automated, continuous deployment pipelines and gain insights into polyglot cloud-native development on popular cloud platforms such as Azure and Google Cloud Platform (GCP). By the end of the book, you'll be able to apply these skills to build powerful cloud-native solutions. What you will learnImplement patterns such as Event Streaming, CQRS, and Event SourcingDeploy multi-regional, multi-master solutionsSecure your cloud-native services with OAuth and OpenID ConnectCreate a robust cloud-native continuous deployment pipelineRun services on AWS, Azure, and GCPImplement autonomous services to limit the impact of failuresWho this book is for If you want to develop powerful serverless, cloud-native solutions, this book is for you. You are expected to have basic knowledge of concepts of microservices and hands-on experience with Node.js to understand the recipes in this book.
Book Synopsis ServiceStack 4 Cookbook by : Kyle Hodgson
Download or read book ServiceStack 4 Cookbook written by Kyle Hodgson and published by Packt Publishing Ltd. This book was released on 2015-01-23 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a .NET developer who is looking for a simpler way to build services, this is the book for you. It will show you how to write fast, maintainable APIs that are a pleasure to use and maintain starting from the database to the client and everything in-between.
Book Synopsis Kubernetes - A Complete DevOps Cookbook by : Murat Karslioglu
Download or read book Kubernetes - A Complete DevOps Cookbook written by Murat Karslioglu and published by Packt Publishing Ltd. This book was released on 2020-03-13 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage Kubernetes and container architecture to successfully run production-ready workloads Key FeaturesImplement Kubernetes to orchestrate and scale applications proficientlyLeverage the latest features of Kubernetes to resolve common as well as complex problems in a cloud-native environmentGain hands-on experience in securing, monitoring, and troubleshooting your applicationBook Description Kubernetes is a popular open source orchestration platform for managing containers in a cluster environment. With this Kubernetes cookbook, you’ll learn how to implement Kubernetes using a recipe-based approach. The book will prepare you to create highly available Kubernetes clusters on multiple clouds such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Alibaba, and on-premises data centers. Starting with recipes for installing and configuring Kubernetes instances, you’ll discover how to work with Kubernetes clients, services, and key metadata. You’ll then learn how to build continuous integration/continuous delivery (CI/CD) pipelines for your applications, and understand various methods to manage containers. As you advance, you’ll delve into Kubernetes' integration with Docker and Jenkins, and even perform a batch process and configure data volumes. You’ll get to grips with methods for scaling, security, monitoring, logging, and troubleshooting. Additionally, this book will take you through the latest updates in Kubernetes, including volume snapshots, creating high availability clusters with kops, running workload operators, new inclusions around kubectl and more. By the end of this book, you’ll have developed the skills required to implement Kubernetes in production and manage containers proficiently. What you will learnDeploy cloud-native applications on KubernetesAutomate testing in the DevOps workflowDiscover and troubleshoot common storage issuesDynamically scale containerized services to manage fluctuating traffic needsUnderstand how to monitor your containerized DevOps environmentBuild DevSecOps into CI/CD pipelinesWho this book is for This Kubernetes book is for developers, IT professionals, and DevOps engineers and teams who want to use Kubernetes to manage, scale, and orchestrate applications in their organization. Basic understanding of Kubernetes and containerization is necessary.
Book Synopsis Alfresco 3 Cookbook by : Snig Bhaumik
Download or read book Alfresco 3 Cookbook written by Snig Bhaumik and published by Packt Publishing Ltd. This book was released on 2011-07-26 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 70 recipes for implementing the most important functionalities of Alfresco.
Book Synopsis HBase High Performance Cookbook by : Ruchir Choudhry
Download or read book HBase High Performance Cookbook written by Ruchir Choudhry and published by Packt Publishing Ltd. This book was released on 2017-01-31 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exciting projects that will teach you how complex data can be exploited to gain maximum insights About This Book Architect a good HBase cluster for a very large distributed system Get to grips with the concepts of performance tuning with HBase A practical guide full of engaging recipes and attractive screenshots to enhance your system's performance Who This Book Is For This book is intended for developers and architects who want to know all about HBase at a hands-on level. This book is also for big data enthusiasts and database developers who have worked with other NoSQL databases and now want to explore HBase as another futuristic scalable database solution in the big data space. What You Will Learn Configure HBase from a high performance perspective Grab data from various RDBMS/Flat files into the HBASE systems Understand table design and perform CRUD operations Find out how the communication between the client and server happens in HBase Grasp when to use and avoid MapReduce and how to perform various tasks with it Get to know the concepts of scaling with HBase through practical examples Set up Hbase in the Cloud for a small scale environment Integrate HBase with other tools including ElasticSearch In Detail Apache HBase is a non-relational NoSQL database management system that runs on top of HDFS. It is an open source, disturbed, versioned, column-oriented store and is written in Java to provide random real-time access to big Data. We'll start off by ensuring you have a solid understanding the basics of HBase, followed by giving you a thorough explanation of architecting a HBase cluster as per our project specifications. Next, we will explore the scalable structure of tables and we will be able to communicate with the HBase client. After this, we'll show you the intricacies of MapReduce and the art of performance tuning with HBase. Following this, we'll explain the concepts pertaining to scaling with HBase. Finally, you will get an understanding of how to integrate HBase with other tools such as ElasticSearch. By the end of this book, you will have learned enough to exploit HBase for boost system performance. Style and approach This book is intended for software quality assurance/testing professionals, software project managers, or software developers with prior experience in using Selenium and Java to test web-based applications. This books also provides examples for C#, Python, and Ruby users.
