Learning Kibana 5.0


Author: Bahaaldine Azarmi

Publisher: Packt Publishing Ltd

ISBN: 1786465795

Category: Computers

Page: 284

View: 8925

Exploit the visualization capabilities of Kibana and build powerful interactive dashboards About This Book Introduction to data-driven architecture and the Elastic stack Build effective dashboards for data visualization and explore datasets with Elastic Graph A comprehensive guide to learning scalable data visualization techniques in Kibana Who This Book Is For If you are a developer, data visualization engineer, or data scientist who wants to get the best of data visualization at scale then this book is perfect for you. A basic understanding of Elasticsearch and Logstash is required to make the best use of this book. What You Will Learn How to create visualizations in Kibana Ingest log data, structure an Elasticsearch cluster, and create visualization assets in Kibana Embed Kibana visualization on web pages Scaffold, develop, and deploy new Kibana & Timelion customizations Build a metrics dashboard in Timelion based on time series data Use the Graph plugin visualization feature and leverage a graph query Create, implement, package, and deploy a new custom plugin Use Prelert to solve anomaly detection challenges In Detail Kibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time. In this book, you'll learn how to use the Elastic stack on top of a data architecture to visualize data in real time. All data architectures have different requirements and expectations when it comes to visualizing the data, whether it's logging analytics, metrics, business analytics, graph analytics, or scaling them as per your business requirements. This book will help you master Elastic visualization tools and adapt them to the requirements of your project. You will start by learning how to use the basic visualization features of Kibana 5. Then you will be shown how to implement a pure metric analytics architecture and visualize it using Timelion, a very recent and trendy feature of the Elastic stack. You will learn how to correlate data using the brand-new Graph visualization and build relationships between documents. Finally, you will be familiarized with the setup of a Kibana development environment so that you can build a custom Kibana plugin. By the end of this book you will have all the information needed to take your Elastic stack skills to a new level of data visualization. Style and approach This book takes a comprehensive, step-by-step approach to working with the visualization aspects of the Elastic stack. Every concept is presented in a very easy-to-follow manner that shows you both the logic and method of implementation. Real world cases are referenced to highlight how each of the key concepts can be put to practical use.

Mastering Elasticsearch 5.x


Author: Bharvi Dixit

Publisher: Packt Publishing Ltd

ISBN: 1786468875

Category: Computers

Page: 428

View: 7393

Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions About This Book Master the searching, indexing, and aggregation features in ElasticSearch Improve users' search experience with Elasticsearch's functionalities and develop your own Elasticsearch plugins A comprehensive, step-by-step guide to master the intricacies of ElasticSearch with ease Who This Book Is For If you have some prior working experience with Elasticsearch and want to take your knowledge to the next level, this book will be the perfect resource for you.If you are a developer who wants to implement scalable search solutions with Elasticsearch, this book will also help you. Some basic knowledge of the query DSL and data indexing is required to make the best use of this book. What You Will Learn Understand Apache Lucene and Elasticsearch 5's design and architecture Use and configure the new and improved default text scoring mechanism in Apache Lucene 6 Know how to overcome the pitfalls while handling relational data in Elasticsearch Learn about choosing the right queries according to the use cases and master the scripting module including new default scripting language, painlessly Explore the right way of scaling production clusters to improve the performance of Elasticsearch Master the searching, indexing, and aggregation features in Elasticsearch Develop your own Elasticsearch plugins to extend the functionalities of Elasticsearch In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We'll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We'll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We'll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use. Style and approach This comprehensive guide covers intermediate and advanced concepts in Elasticsearch as well as their implementation. An easy-to-follow approach means you'll be able to master even advanced querying, searching, and administration tasks with ease.


Ein praktischer Einstieg


Author: Florian Hopf

Publisher: dpunkt.verlag

ISBN: 3864918278

Category: Computers

Page: 262

View: 9670

Elasticsearch ist ein auf Apache Lucene basierender Suchserver, der JSON-Dokumente speichern und durchsuchen kann. Durch den verteilten Aufbau ist die Ablage sehr großer Datenmengen möglich. Neben Volltextinhalten können auch strukturierte Daten verwaltet und mit Aggregationen leicht gruppiert und ausgelesen werden. Dokumente, Suchanfragen und administrative Aufgaben werden in JSON formuliert und per HTTP oder über die Java-API ausgetauscht. Das Buch stellt anhand eines durchgehenden Beispiels die Nutzung von Elasticsearch vor. Nach einem einführenden Kapitel, in dem eine klassische Suchanwendung von Grund auf aufgebaut wird, werden in den anschließenden Kapiteln jeweils unterschiedliche Aspekte genauer beleuchtet. Unter anderem werden die folgenden Themenbereiche angesprochen: • Umgang mit Text • Relevanz in Suchergebnissen • Möglichkeiten der Indizierung • Verteilung der Daten • Datenmodellierung • Aggregationen • Aspekte des Produktivbetriebs • Logdaten in Elasticsearch Der Großteil des Buches ist unabhängig von der Programmiersprache gehalten, es wird jedoch auch auf die Java- und JavaScript-APIs zum Zugriff auf Elasticsearch eingegangen. Der Leser hat nach der Lektüre das notwendige Rüstzeug, um eigene Anwendungen auf Basis von Elasticsearch umzusetzen.

Learning Elasticsearch


Author: Abhishek Andhavarapu

Publisher: Packt Publishing Ltd

ISBN: 1787129918

Category: Computers

Page: 404

View: 5199

Store, search, and analyze your data with ease using Elasticsearch 5.x About This Book Get to grips with the basics of Elasticsearch concepts and its APIs, and use them to create efficient applications Create large-scale Elasticsearch clusters and perform analytics using aggregation This comprehensive guide will get you up and running with Elasticsearch 5.x in no time Who This Book Is For If you want to build efficient search and analytics applications using Elasticsearch, this book is for you. It will also benefit developers who have worked with Lucene or Solr before and now want to work with Elasticsearch. No previous knowledge of Elasticsearch is expected. What You Will Learn See how to set up and configure Elasticsearch and Kibana Know how to ingest structured and unstructured data using Elasticsearch Understand how a search engine works and the concepts of relevance and scoring Find out how to query Elasticsearch with a high degree of performance and scalability Improve the user experience by using autocomplete, geolocation queries, and much more See how to slice and dice your data using Elasticsearch aggregations. Grasp how to use Kibana to explore and visualize your data Know how to host on Elastic Cloud and how to use the latest X-Pack features such as Graph and Alerting In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments. Style and approach This comprehensive guide will get you started with Elasticsearch 5.x, so you build a solid understanding of the basics. Every topic is explained in depth and is supplemented with practical examples to enhance your understanding.

Machine Learning with the Elastic Stack

Expert techniques to integrate machine learning with distributed search and analytics


Author: Rich Collier,Bahaaldine Azarmi

Publisher: Packt Publishing Ltd

ISBN: 1788471776

Category: Computers

Page: 304

View: 9583

Leverage Elastic Stack’s machine learning features to gain valuable insight from your data Key Features Combine machine learning with the analytic capabilities of Elastic Stack Analyze large volumes of search data and gain actionable insight from them Use external analytical tools with your Elastic Stack to improve its performance Book Description Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure. By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly. What you will learn Install the Elastic Stack to use machine learning features Understand how Elastic machine learning is used to detect a variety of anomaly types Apply effective anomaly detection to IT operations and security analytics Leverage the output of Elastic machine learning in custom views, dashboards, and proactive alerting Combine your created jobs to correlate anomalies of different layers of infrastructure Learn various tips and tricks to get the most out of Elastic machine learning Who this book is for If you are a data professional eager to gain insight on Elasticsearch data without having to rely on a machine learning specialist or custom development, Machine Learning with the Elastic Stack is for you. Those looking to integrate machine learning within their search and analytics applications will also find this book very useful. Prior experience with the Elastic Stack is needed to get the most out of this book.

Reguläre Ausdrücke Kochbuch


Author: Jan Goyvaerts,Steven Levithan

Publisher: O'Reilly Germany

ISBN: 3897219573

Category: Computer programming

Page: 519

View: 1401

Fur Entwickler, die regelmaig mit Texten arbeiten, sind regulare Ausdrucke so lebensnotwendig wie die Luft zum Atmen. Doch wer sich nur oberflachlich mit diesem Hilfsmittel auskennt, gerat leicht in unangenehme Situationen. Selbst erfahrene Programmierer haben immer wieder mit schlechter Performance, falsch positiven oder falsch negativen Ergebnissen und unerklarlichen Fehlern zu kampfen. Dieses Kochbuch schafft Abhilfe: Anhand von uber 100 Rezepten fur C#, Java, JavaScript, Perl, PHP, Python, Ruby und VB.NET lernen Sie, wie Sie regulare Ausdrucke gekonnte einsetzen, typische Fallen umgehen und so viel wertvolle Zeit sparen. Mit Tutorial fur Anfanger: Falls Sie noch nicht - oder nur wenig - mit regularen Ausdrucken gearbeitet haben, dienen Ihnen die ersten Kapitel dieses Buchs als Tutorial, das Sie mit den Grundlagen der Regexes und empfehlenswerten Tools vertraut macht. So sind Sie fur die komplexeren Beispiele in den darauf folgenden Kapiteln bestens gerustet. Tricks und Ideen fur Profis: Auch erfahrene Regex-Anwender kommen ganz auf ihre Kosten: Jan Goyvaerts und Steven Levithan, zwei anerkannte Groen im Bereich regulare Ausdrucke, gewahren tiefe Einblicke in ihren Erfahrungsschatz und uberraschen mit eleganten Losungen fur fast jede denkbare Herausforderung. Deckt die unterschiedlichen Programmiersprachen ab: In allen Rezepten werden Regex-Optionen sowie Varianten fur die verschiedenen Programmier- und Skriptsprachen aufgezeigt. Damit lassen sich sprachenspezifische Bugs sicher vermeiden.

Learning DevOps: Continuously Deliver Better Software


Author: Joakim Verona,Michael Duffy,Paul Swartout

Publisher: Packt Publishing Ltd

ISBN: 1787128679

Category: Computers

Page: 713

View: 3454

Learn to use some of the most exciting and powerful tools to deliver world-class quality software with continuous delivery and DevOps About This Book Get to know the background of DevOps so you understand the collaboration between different aspects of an IT organization and a software developer Deploy top-quality software and ensure software maintenance and release management with this practical guide This course covers some of the most exciting technology available to DevOps engineers, and demonstrates multiple techniques for using them Real-world and realistic examples are provided to help you as you go about the implementation and adoption of continuous delivery and DevOps Who This Book Is For This course is for developers who want to understand how the infrastructure that builds today's enterprises works, and how to painlessly and regularly ship quality software. What You Will Learn Set up and familiarize yourself with all the tools you need to be efficient with DevOps Design an application that is suitable for continuous deployment systems with DevOps in mind Test the code using automated regression testing with Jenkins Selenium Managing the lifecycle of hosts, from creation to ongoing management using Puppet Razor Find out how to manage, use, and work with Code in the Git version management system See what traps, pitfalls, and hurdles to look out for as you implement continuous delivery and DevOps In Detail Harness the power of DevOps to boost your skill set and make your IT organization perform better. If you're keen to employ DevOps techniques to better your software development, this course contains all you need to overcome the day-to-day complications of managing complex infrastructures the DevOps way. Start with your first module – Practical DevOps - that encompasses the entire flow from code from testing to production. Get a solid ground-level knowledge of how to monitor code for any anomalies, perform code testing, and make sure the code is running smoothly through a series of real-world exercise, and develop practical skills by creating a sample enterprise Java application. In the second module, run through a series of tailored mini-tutorials designed to give you a complete understanding of every DevOps automation technique. Create real change in the way you deliver your projects by utilizing some of the most commendable software available today. Go from your first steps of managing code in Git to configuration management in Puppet, monitoring using Sensu, and more. In the final module, get to grips with the continuous delivery techniques that will help you reduce the time and effort that goes into the delivery and support of software. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Practical DevOps by Joakim Verona DevOps Automation Cookbook by Michael Duffy Continuous Delivery and DevOps : A Quickstart Guide - Second Edition by Paul Swartout Style and approach This course is an easy to follow project based guide for all those with a keen interest in deploying world-class software using some of the most effective and remarkable technologies available.

Elasticsearch 5.x Cookbook


Author: Alberto Paro

Publisher: Packt Publishing Ltd

ISBN: 1786466880

Category: Computers

Page: 696

View: 8551

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.

Learning Elastic Stack 6.0

A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana


Author: Pranav Shukla,Sharath Kumar

Publisher: Packt Publishing Ltd

ISBN: 1787285863

Category: Computers

Page: 434

View: 1085

Deliver end-to-end real-time distributed data processing solutions by leveraging the power of Elastic Stack 6.0 Key Features - Get to grips with the new features introduced in Elastic Stack 6.0 - Get valuable insights from your data by working with the different components of the Elastic stack such as Elasticsearch, Logstash, Kibana, X-Pack, and Beats - Includes handy tips and techniques to build, deploy and manage your Elastic applications efficiently on-premise or on the cloud Book Description The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems. What you will learn - Familiarize yourself with the different components of the Elastic Stack - Get to know the new functionalities introduced in Elastic Stack 6.0 - Effectively build your data pipeline to get data from terabytes or petabytes of data into Elasticsearch and Logstash for searching and logging - Use Kibana to visualize data and tell data stories in real-time - Secure, monitor, and use the alerting and reporting capabilities of Elastic Stack - Take your Elastic application to an on-premise or cloud-based production environment Who this book is for This book is for data professionals who want to get amazing insights and business metrics from their data sources. If you want to get a fundamental understanding of the Elastic Stack for distributed, real-time processing of data, this book will help you. A fundamental knowledge of JSON would be useful, but is not mandatory. No previous experience with the Elastic Stack is required.

Learning ELK Stack


Author: Saurabh Chhajed

Publisher: Packt Publishing Ltd

ISBN: 1785886703

Category: Computers

Page: 206

View: 2099

Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana About This Book Solve all your data analytics problems with the ELK stack Explore the power of Kibana4 search and visualizations built over Elasticsearch queries and learn about the features and plugins of Logstash Develop a complete data pipeline using the ELK stack Who This Book Is For If you are a developer or DevOps engineer interested in building a system that provides amazing insights and business metrics out of data sources, of various formats and types, using the open source technology stack that ELK provides, then this book is for you. Basic knowledge of Unix or any programming language will be helpful to make the most out of this book. What You Will Learn Install, configure, and run Elasticsearch, Logstash, and Kibana Understand the need for log analytics and the current challenges in log analysis Build your own data pipeline using the ELK stack Familiarize yourself with the key features of Logstash and the variety of input, filter, and output plugins it provides Build your own custom Logstash plugin Create actionable insights using charts, histograms, and quick search features in Kibana4 Understand the role of Elasticsearch in the ELK stack In Detail The ELK stack—Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before. This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You'll move on to building a basic data pipeline using the ELK stack. Next, you'll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps. Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components. Style and approach This book is a step-by-step guide, complete with various examples to solve your data analytics problems by using the ELK stack to explore and visualize data.

Groovy im Einsatz


Author: Dierk König

Publisher: N.A

ISBN: 9783446412385

Category: Computer Sciences

Page: 597

View: 9606

Leviathan erwacht



Author: James Corey

Publisher: Heyne Verlag

ISBN: 3641076315

Category: Fiction

Page: 672

View: 3766

Im Weltall gibt es kein Gesetz ... Die Menschheit hat das Sonnensystem kolonisiert. Auf dem Mond, dem Mars, im Asteroidengürtel und noch darüber hinaus gibt es Raumstationen und werden Rohstoffe abgebaut. Doch die Sterne sind den Menschen bisher verwehrt geblieben. Als der Kapitän eines kleinen Minenschiffs ein havariertes Schiff aufbringt, ahnt er nicht, welch gefährliches Geheimnis er in Händen hält – ein Geheimnis, das die Zukunft der ganzen menschlichen Zivilisation für immer verändern wird.

Frei wie in Freiheit


Author: Sam Williams,Richard Stallman,Theo Walm

Publisher: Lulu.com

ISBN: 1326662341


Page: N.A

View: 9358

Datenanalyse mit Python

Auswertung von Daten mit Pandas, NumPy und IPython


Author: Wes McKinney

Publisher: O'Reilly

ISBN: 3960102143

Category: Computers

Page: 542

View: 6084

Erfahren Sie alles über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensätzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv lösen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begründer des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl für Datenanalysten, für die Python Neuland ist, als auch für Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehöriges Material des Buchs sind auf GitHub verfügbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook für das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenführen und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensätzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFür diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einführung in statsmodels und scikit-learn.

Das DevOps-Handbuch

Teams, Tools und Infrastrukturen erfolgreich umgestalten


Author: Gene Kim,Jez Humble,Patrick Debois,John Willis

Publisher: O'Reilly

ISBN: 3960101244

Category: Computers

Page: 432

View: 7535

Mehr denn je ist das effektive Management der IT entscheidend für die Wettbewerbsfähigkeit von Organisationen. Viele Manager in softwarebasierten Unternehmen ringen damit, eine Balance zwischen Agilität, Zuverlässigkeit und Sicherheit ihrer Systeme herzustellen. Auf der anderen Seite schaffen es High-Performer wie Google, Amazon, Facebook oder Netflix, routinemäßig und zuverlässig hundertoder gar tausendmal pro Tag Code auszuliefern. Diese Unternehmen verbindet eins: Sie arbeiten nach DevOps-Prinzipien. Die Autoren dieses Handbuchs folgen den Spuren des Romans Projekt Phoenix und zeigen, wie die DevOps-Philosophie praktisch implementiert wird und Unternehmen dadurch umgestaltet werden können. Sie beschreiben konkrete Tools und Techniken, die Ihnen helfen, Software schneller und sicherer zu produzieren. Zudem stellen sie Ihnen Maßnahmen vor, die die Zusammenarbeit aller Abteilungen optimieren, die Arbeitskultur verbessern und die Profitabilität Ihres Unternehmens steigern können. Themen des Buchs sind: Die Drei Wege: Die obersten Prinzipien, von denen alle DevOps-Maßnahmen abgeleitet werden.Einen Ausgangspunkt finden: Eine Strategie für die DevOps-Transformation entwickeln, Wertketten und Veränderungsmuster kennenlernen, Teams schützen und fördern.Flow beschleunigen: Den schnellen Fluss der Arbeit von Dev hin zu Ops ermöglichen durch eine optimale Deployment-Pipeline, automatisierte Tests, Continuous Integration und Continuous Delivery.Feedback verstärken: Feedback-Schleifen verkürzen und vertiefen, Telemetriedaten erzeugen und Informationen unternehmensweit sichtbar machen.Kontinuierliches Lernen ermöglichen: Eine Just Culture aufbauen und ausreichend Zeit reservieren, um das firmenweite Lernen zu fördern.

Der tiefere Sinn des Labenz

Das Wörterbuch der bisher unbenannten Gegenstände und Gefühle


Author: Douglas Adams

Publisher: N.A

ISBN: 9783954030538


Page: 312

View: 6927

Webseiten mit HTML


Author: Elizabeth Castro

Publisher: Pearson Deutschland GmbH

ISBN: 9783827268655


Page: 125

View: 8011

Kibana Essentials


Author: Yuvraj Gupta

Publisher: Packt Publishing

ISBN: 9781784394936

Category: Computers

Page: 206

View: 6471

Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenariosAbout This Book• Perform real-time data analytics and visualizations, on streaming data, using Kibana• Build beautiful visualizations and dashboards with simplicity and ease without any type of coding involved• Learn all the core concepts as well as detailed information about each component used in KibanaWho This Book Is ForWhether you are new to the world of data analytics and data visualization or an expert, this book will provide you with the skills required to use Kibana with ease and simplicity for real-time data visualization of streaming data.This book is intended for those professionals who are interested in learning about Kibana,its installations, and how to use it . As Kibana provides a user-friendly web page, no prior experience is required.What You Will Learn• Understand the basic concepts of elasticsearch used in Kibana along with step by step guide to install Kibana in Windows and Ubuntu• Explore the functionality of all the components used in Kibana in detail, such as the Discover, Visualize, Dashboard,and Settings pages• Analyze data using the powerful search capabilities of elasticsearch• Understand the different types of aggregations used in Kibana for visualization• Create and build different types of amazing visualizations and dashboards easily• Create, save, share, embed, and customize the visualizations added to the dashboard• Customize and tweak the advanced settings of Kibana to ensure ease of useIn DetailWith the increasing interest in data analytics and visualization of large data around the globe, Kibana offers the best features to analyze data and create attractive visualizations and dashboards through simple-to-use web pages. The variety of visualizations provided, combined with the powerful underlying elasticsearch capabilities will help professionals improve their skills with this technology.This book will help you quickly familiarize yourself to Kibana and will also help you to understand the core concepts of this technology to build visualizations easily.Starting with setting up of Kibana and elasticsearch in Windows and Ubuntu, you will then use the Discover page to analyse your data intelligently. Next, you will learn to use the Visualization page to create beautiful visualizations without the need for any coding. Then, you will learn how to use the Dashboard page to create a dashboard and instantly share and embed the dashboards. You will see how to tweak the basic and advanced settings provided in Kibana to manage searches, visualizations, and dashboards. Finally, you will use Kibana to build visualizations and dashboards for real-world scenarios.You will quickly master the functionalities and components used in Kibana to create amazing visualizations based on real-world scenarios. With ample screenshots to guide you through every step, this book will assist you in creating beautiful visualizations with ease.Style and approachThis book is a comprehensive step-by-step guide to help you understand Kibana. It's explained in an easy-to-follow style along with supporting images. Every chapter is explained sequentially , covering the basics of each component of Kibana and providing detailed explanations of all the functionalities of Kibana that appeal.


wie Sie das Design vorhandener Software verbessern


Author: Martin Fowler

Publisher: N.A

ISBN: 9783827322784


Page: 440

View: 2858