In Production Juan Marin. Agenda Introduction Reliability Availability Performance Data optimizations Runtime optimizations Measuring your environment.

In Production

Juan Marin

Agenda• Introduction• Reliability• Availability• Performance• Data optimizations• Runtime optimizations• Measuring your environment• Monitoring your environment• Example

Introduction

• No recipes, just guidelines• Security• Criteria for the quality of a production deployment:

– Reliability– Availability– Performance

• Change default admin user!!!• Block geoserver/web, access only internally• Use roles• New security subsystem coming in 2.2

Don’t forget about security

Reliability• Disable unused services• Control server resources

– Set WMS rendering memory allocation and processing time limits

– Set WFS response size limits– Optimize WFS response types

• Limit concurrent requests– Limit available server threads to reduce concurrency– Implement control flow to queue requests and avoid

server overload

Change default logging

Avoid system overload• Use control flow plugin• Limits # of concurrent requests by:

– Service type (i.e. WMS, WFS, global)– User (cookie based, browsers)– IP address (any client)

Control Flow

Control Flow

Availability• Use mechanism to detect server unresponsiveness

and restart if necessary (i.e. watchdog)• Use load balancing across a pool of servers• Provide high availability by using redundant

hardware and software components throughout the system

Data Optimizations• Sometimes the most important thing to do!!• Prepare your maps

– Symbology that makes sense– Scale dependency

• Store vector and raster data in the most frequently requested coordinate system

High Availability ConfigurationsLoad Balancer (i.e. HAProxy)

Performance

• Optimize data and map configuration– Optimize raster and vector data storage– Don’t show too much data at once (~1000 features per

map request)

• Use most recent version of Oracle JVM– Run in server mode– Configure options for maximum performance

• Install native code extensions for JAI and Image I/O• Cluster your deployment

– Better performance under load

Data optimizations• Raster optimizations

– Use correct format (GeoTiff, BigTiff, etc.)– Use ImageMosaic– Use ImagePyramid

• Vector optimizations– Make sure proper Spatial Index is being used– Use a spatial database

• Validate connections• Use connection pooling

– Generalize features for higher zoom levels– Avoid shapefile when filtering on attributes

GeoWebCache• Cache tiles for fast map rendering• Performance is sometimes orders of magnitude

faster than regular WMS• GeoWebCache is extremely fast, with some unique

features– Integrated with GeoServer or standalone with any WMS– Can expire tiles by reading a GeoRSS feed– Seed tile cache down to a certain zoom level, dynamically

cache below that

Runtime optimizations• JVM settings for production (example)

– -server: run in server mode – -Xms2048m -Xmx2048m: maximum heap size, allocates it all at

startup– -XX:PermSize=128m -XX:MaxPermSize=256m: sets size and

maximum size of permanent collection memory. Very important since GeoServer uses a lot of classes

– -XX: SoftRefLRUPolicyMSPerMB=3600: Increases the effectiveness of datastore cache references by increasing the lifetime of “soft references”

– -XX:+UserParalleGC: enables multi-threaded garbage collection. Use with multicore systems only

– -XX:+AggressiveOpt: enables experimental optimizations that will be defaults in future versions of the JVM

Container tuning: Optimize Tomcat

• Limit number of concurrent threads in Tomcat (<CATALINA_DIR>/conf/server.xml)

• <Server port=”8005” shutdown=”SHUTDOWN”> ... <Connector port=”8080” protocol=”HTTP/1.1” ConnectionTimeout=”20000” redirectPort=”8443” maxThreads=”20” minSpareThreads=”20” /> ... </Server>

• Install Apache Portable Runtime (APR) more info here http://tomcat.apache.org/tomcat-7.0-doc/apr.html

Measuring your environmentJMeter

VisualVM

Monitoring your environment

Example• Data

– Washington DC OSM

• Software– Ubuntu 11.10– PostgreSQL 9.1.2 + Postgis 2.0– Tomcat 7.0.26– GeoServer 2.1.3– JVM: OpenJDK6, Oracle JDK6 and Oracle JDK7

• Hardware– 4 cores– 8GB RAM

Example data

Results

References• GeoServer in Production White Paper

http://opengeo.org/publications/geoserver-production/register/?target=/publications/geoserver-production/

• GeoServer on steroids http://www.slideshare.net/geosolutions/geoserver-on-steroids

Questions?

Thank You