Openshift GeoSpatial Capabilities

May 25, 2012Download as PPT, PDF3 likes2,874 views

This document discusses using the OpenShift Platform as a Service (PaaS) for geospatial applications. It provides an overview of OpenShift and demonstrates how to deploy PostGIS and MongoDB for geospatial data storage and GeoServer for serving maps on OpenShift. The presentation assumes basic command line and geospatial knowledge and shows how OpenShift allows developers to write code and apps without managing servers.

Platform as a Service
(OpenShift PaaS) for
Geospatial Applications

Steven Citron-Pousty
PaaS Dust Spreader, Red Hat

1

Agenda
• Learn a little about Cloud and PaaS
• See some spatial running on PaaS
• Let you ask questions
• Set you up to ROCK!

2

Assumptions
1) You can use the command line
2) You know some spatial
3) You prefer to write code and apps over managing
servers

3

What is OpenShift?

Red Hat's free, auto-scaling Platform as a Service (PaaS) for
applications in the cloud.

4

Looks great, but what’s the catch?
• OpenShift is free-as-in-beer & free-as-in-freedom
• Three gears – 512mb RAM, 1 gig Disk (always free)
• Need more resources, just ask!
• The Catch is we are in developer preview right now

+ =
10

What do you need first – A spatial datastore
Let’s start with PostGIS

13

But since we all like to be cutting edge – time for
NoSQL with MongoDB!

16

Brief Facts about MongoDB
1) Document Store – stores in JSON (really BSON)
2) FOSS – written by the people at 10gen
3) Has very limited spatial
4) Good Enough for FourSquare, Craig’s List, and
OpenShift Service

17

Demo (MongoDB)
1. Create a Java application
2. Add MongoDB cartridge
3. SCP and SSH into your “server” to
1. load the data
2. Make a query or two

18

But what if you don’t want to write your own code
Time to deploy GeoServer and hook it up to PostGIS

Demo
4)Download the war file
5)Insert the jboss file
6)Add to local git repo
7)Deploy to OpenShift
8)Configure

19

Conclusion
1. All the spatial parts are ready to use today
2. OpenShift makes life great for devs
3. The tools are easy to use
4. Almost anything you need on a server
5. Did I mention – Free (as in Beer and FREEDOM!)

20

Password: storekbuilding
Aps:
CodeForAmerica-Guest
CodeForAmerica-Guest 5Ghz

Tamara.colby@gmail.com
21

1. The document provides instructions for setting up applications on OpenShift including creating domains, applications, adding cartridges for databases like Postgresql and MongoDB, and loading spatial data. 2. Steps are outlined for setting up a Java application called GeoServer with Postgresql and spatial data, and a Python application called Parks using MongoDB to store spatial JSON data. 3. Finally it describes deploying a modified GeoServer WAR file on OpenShift to serve spatial layers from the Postgresql data.

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APPLICATIONS AND CONTAINERS AT SCALE: OpenShift + Kubernetes + DockerSteven Pousty

This document provides an overview of applications and containers at scale using OpenShift and Kubernetes. It begins with defining containers and their advantages over virtual machines. Kubernetes is then introduced as a system for managing containerized applications across multiple hosts. Key Kubernetes concepts like pods, services, and replication controllers are described. OpenShift builds upon Kubernetes by adding concepts like applications, configurations, templates, and build configurations to provide an application development and deployment platform. A demo is then presented, concluding that OpenShift packages container and cloud-native technologies to efficiently manage thousands of applications.

London Cloud Summit 2014 - raising the tide: getting developers in the cloudSteven Pousty

Steven Pousty presented on getting developers to use cloud platforms. Some problems developers face are not having root access, different deployment models than hosting servers, needing to build horizontally scalable apps, and expecting a virtual private server. Issues include a lack of documentation, not teaching horizontal scalability, and a different local vs cloud experience. Solutions proposed are using Docker to provide a familiar environment, building more modular applications, helping database and app servers move to the cloud, and balancing sysadmin and developer needs. The presentation ended with an open discussion.

Build a PaaS with OpenShift OriginSteven Pousty

This document discusses OpenShift, an open source Platform as a Service (PaaS) from Red Hat. It provides an overview of OpenShift Origin, including that it runs on Linux, uses brokers and nodes to manage containers called gears that deploy user applications using cartridges. It also summarizes how to get involved with the OpenShift community through forums, blogs, GitHub and IRC/email lists. The conclusion encourages attendees to join the community as PaaS can benefit both developers and sysadmins.

Monkigras - dropping science on your developer ecosystemSteven Pousty

This document discusses lessons from ecosystem management that can be applied to technology ecosystems. Some key points covered include: - Ecosystems are complex with permeable boundaries and require a holistic, adaptive approach focused on overall integrity. - Monitoring is important to collect data and inform adaptations over time through both planned experiments and taking advantage of natural experiments. - Identifying keystone components and factors that influence the whole system is important for management. - Values and goals drive management more than facts and should incorporate social, economic, and political considerations. - Analogies to natural ecosystem management can provide insights for nurturing diversity and resilience in technology ecosystems.

Spatial script for MongoBoulderSteven Pousty

This document provides instructions for adding spatial data to MongoDB. It describes how to import coordinate data from a JSON file into a MongoDB collection called parkpoints, build a 2d index on the "pos" field, and perform various spatial queries on the data including near, within, and geoNear queries. It also shows how to create a new checkin collection with a 2d index, insert and query check-in documents, and update an existing document.

Spatial script for CIMASteven Pousty

The document provides commands for adding spatial data to MongoDB. It includes steps to import coordinate data from a JSON file into a MongoDB collection called "parkpoints", build a 2D index on the "pos" field, and perform simple and compound queries using location and text filters. It also demonstrates creating a new "checkin" collection, inserting and updating documents with geolocation coordinates, and near queries to find documents within a given distance.

Spatial script for my JS.Everywhere 2012Steven Pousty

The document provides commands for adding spatial data to MongoDB. It includes steps to import coordinate data from a JSON file into a MongoDB collection called "parkpoints", build a 2D index on the "pos" field, and perform simple spatial queries and a geoNear query to find documents near a given location. It also shows how to create a new "checkin" collection, insert documents with location data, update an existing document, and query the checkin collection.

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Dropping Science on Your Developer Ecosystem - lessons from Ecosystem ManagementSteven Pousty

This document discusses lessons from ecosystem management that can be applied to developing a technical ecosystem. Some key ideas covered include: 1. Ecosystems are multi-dimensional and boundaries are permeable; manage for overall integrity. 2. Collect primary data through monitoring and engage in planned and natural experiments to continuously learn and adapt. 3. Achieve inter-agency cooperation as ecosystems involve many interconnected parts; humans are embedded within nature. 4. Adaptive management and organizational change may be needed as understanding of the system evolves over time. Values drive goals more than facts or logic.

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Script for Spatial MongoSteven Pousty

This document provides commands for adding spatial data to MongoDB. It shows how to import a JSON file containing coordinate data into a MongoDB collection called "opencloud" using mongoimport. It then creates indexes on the "pos" field to support spatial queries, and demonstrates various spatial queries including near, within a bounding box, and geoNear queries. It also creates a new collection "clouduserloc" and inserts and updates documents with location coordinates to the new collection.

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Using PostGIS To Add Some Spatial Flavor To Your ApplicationSteven Pousty

- PostGIS adds spatial capabilities like points, lines, polygons, and functions like area, distance to PostgreSQL. It allows spatial queries and analysis. - To install PostGIS, you need PostgreSQL and libraries like Proj and GEOS. Packages are available for many platforms. - With PostGIS, you can import spatial data like shapefiles, perform queries using spatial filters and functions, simplify geometries, and more to build mapping and location-based applications.

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