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Speed Up Your App with Tile Caching

In this chapter, we will use tiles, pre-rendered portions of a map, to allow your app to load more rapidly. While the subject of tile caching can get pretty complex, I'll be covering the material you need to know to get your tile cache up and running and fix any issues that may occur.

First, we'll cover the tile caching basics. Then, you'll learn how to configure tile caching and GeoServer. Next, you'll create a tile-backed web map app, you'll learn to use the tile cache, and finally we'll explore methods for solving problems with tile caching.

In this chapter, we will cover the following topics:

Tile caching basics
Configure tile caching in GeoServer
Creating a tile-backed OL app
Using the tile cache
Resolving problems with tile caching

Key benefits

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

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

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