컴퓨터/IT 개발/프로그래밍 , 컴퓨터/IT IT 해외원서
Expert GeoServer
소장 | 전자책 정가 | 15,000원 |
---|---|---|
판매가 | 15,000원 |
- 출간 정보
- 2018.07.31. 전자책 출간
- 파일 정보
- 19.5MB
- 129쪽
- ISBN
- 9781789535983
- ECN
- -
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컴퓨터/IT 개발/프로그래밍 , 컴퓨터/IT IT 해외원서
소장 | 전자책 정가 | 15,000원 |
---|---|---|
판매가 | 15,000원 |
<Expert GeoServer> ▶Book Description
GeoServer is open source, server-side software written in Java that allows users to share and edit geospatial data. In this book, you'll start by learning how to develop a spatial analysis platform with web processing services. Then you'll see how to develop an algorithm by chaining together geospatial analysis processes, which you can share with anyone in the world.
Next you'll delve into a very important technique to improve the speed of your map application—tile caching. Here, you'll understand how tile caching works, how to develop an effective tile cache-supported web service, and how to leverage tile caching in your OpenLayers web application.
Further on, you'll explore important tweaks to produce a performant GeoServer-backed web mapping application. Moving on, you'll enable authentication on the frontend and backend to protect sensitive map data, and deliver sensitive data to your end user. Finally, you'll see how to put your web application into production in a secure and user-friendly way. You'll go beyond traditional web hosting to explore the full range of hosting options in the cloud, and maintain a reliable server instance.
▶What You Will Learn
⦁ Develop a WPS-processing service to allow web-based geospatial data processing
⦁ Get to know important techniques to improve the speed of your web map application—tile caching, raster data optimization, and server clustering
⦁ Find out which GeoServer settings resolve bottlenecks
⦁ Develop an algorithm by chaining geospatial analysis processes together
⦁ Put your application into production with hosting, monitoring, and automated backup and recovery
⦁ Understand how to develop an effective tile cache-supported web service
⦁ Master techniques that ensure resilient server deployment
▶Key Features
⦁ Resolve bottlenecks, optimize data stores, and cluster server resources
⦁ Use identity management and authentication for a user-specific, secure web application
⦁ Go beyond traditional web hosting to explore the full range of hosting options in the cloud
▶Who This Book Is For
This book is for anyone who wants to learn about advanced interfaces, security, and troubleshooting techniques in GeoServer. A basic understanding of GeoServer is required
▶What this book covers
⦁ Chapter 1, Developing a Spatial Analysis Platform with WPS, will teach you how to create web-processing services to expose your data for live geospatial processing by your end user.
⦁ Chapter 2, Speeding Up Your App with Tile Caching, will explain tile caching and how to use it to create an app, and will help you to resolve any issues that may occur in the process.
⦁ Chapter 3, Optimizing GeoServer, will consist of techniques for getting the best performance out of GeoServer through the use of data formats and clustering, and will help you to ensure reliable performance for your end user.
⦁ Chapter 4, Secure Authentication, will teach you how to add secure authentication to your GeoServer resources with TLS and GeoServer's authentication management system.
⦁ Chapter 5, Putting it into Production, will consist of the final steps in putting your app into production, including hosting options and management tasks.
▶ Preface
This book will cover web-processing services, speeding up your app with tile caching, optimizing GeoServer to get the best and most stable performance, and putting your GeoServer-backed app into production.
By the end of the book, you will understand how to put a GeoServer-backed app into production on a host infrastructure with the best performance and reliability.
⦁ Ben Mearns
Ben Mearns was previously the Lead Geospatial Information Consultant at the University of Delaware, where he was the senior GIS professional charged with leading, developing, and advising on GIS solutions. He developed the GeoServer-based campus mapping system. He has held GIS and data positions at the University of Pennsylvania Cartographic Modeling Lab, Princeton University Department of Sociology, and Macalester College Department of Geography.
▶TABLE of CONTENTS
1: DEVELOPING A SPATIAL ANALYSIS PLATFORM WITH WPS
2: SPEED UP YOUR APP WITH TILE CACHING
3: OPTIMIZING GEOSERVER
4: SECURE AUTHENTICATION
5: PUTTING IT INTO PRODUCTION
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