Advanced Geoserver

Advanced Geoserver

English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 06m | 668 MB

A fast-paced guide to put your Geoserver-based web application into fast, user-friendly, and secure production

GeoServer is an open source server-side software written in Java that allows users to share and edit geospatial data. In this course, you’ll start by learning how to develope 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 dive into a very important technique to improve the speed of your web 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 the tile cache in your OpenLayers web application.

Further on, you’ll see important tweaks to produce a performant GeoServer-backed web mapping application. By properly configuring your GeoServer instance, you can avoid performance bottlenecks for your end user. Next, we’ll enable authentication and identity management for your application, where you’ll build a user-specific and secure web application through identity management and authentication. Moving on, you’ll enable authentication on the front and back ends to protect sensitive map data, and how to 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. Here, we’ll look at hosting of the OpenLayers, GeoServer, and data aspects of your application. You’ll go beyond traditional web hosting to explore the full range of hosting options in the cloud, and maintaining a reliable server instance

The course takes a practical approach to understand how to put your GeoServer-based web application into fast, user-friendly, and secure production.

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
  • Get to know techniques that ensure resilient server deployment
Table of Contents

Develop a Spatial Analysis Platform with WPS
1 The Course Overview
2 Intro and Install
3 WPS Request Builder
4 Process Chaining
5 OL Integration

Speed Up Your App with Tile Caching
6 Tile Caching Basics
7 Configure Tile Caching in GeoServer
8 Create a Tile-Backed OL App
9 Using the Tile Cache
10 Resolving Problems with Tile Caching

Optimizing GeoServer
11 Resolving Bottlenecks
12 Optimizing Vector Data Stores
13 Optimizing Raster Data Stores
14 Clustered Deployment

Secure Authentication
15 Configuring the Proxy
16 HTTPS with TLS and Certificates
17 GeoServer Authentication
18 Secure Login from OL

Putting it into production
19 Hosting Your GeoServer Instance and App
20 Monitoring the GeoServer Instance
21 Backup and Recovery
22 Production Checklist