Building maps for apps in the cloud - a Softlayer Use Case
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Together with Softlayer Snowciety gave a presentation at GOTO Amsterdam 2013 about building custom maps using OpenStreetMap and SRTM data, POstgis/PostgreSQL as a datsbase, Mapnik as a renderer, Tilestance and Apache as the http servers and Leaflet as the javascript client.
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Building maps for apps in the cloud - a Softlayer Use Case
- 6. Building maps for apps in the cloud
- 8. Share your skiing with the world. Join the Snowciety
- 9. Ski tracker
- 10. Friend finder
- 12. Google Maps alternative because they charge heavy users nowadays
- 20. It is all Open Source even the data from NASA
- 21. data database renderer http server
- 22. client
- 24. SRTM Shuttle Radar Topography Mission
- 25. Lots of data our cluster contains roughly 3,5 terabyte of unrendered data
- 26. 350 GB of OSM PostgreSQL with PostGIS plugin
- 27. 3 TB of GEOTIFF
- 29. Mapnik renderer
- 31. §
- 44. Journey to get here
- 47. Journey to get here
- 48. §
- 49. png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png png 256x256 png png png png png png png png png png
- 50. Not only server-side also client-side library to interact with map
- 51. An Open-Source JavaScript Library for Mobile-Friendly Interactive Maps
- 52. Apache httpd No, not really the chopper
- 53. Tile Stache Translating Apache requests into Mapnik render commands
- 54. Mapnik the renderer from before
- 58. Importing data takes a loooooooooooooooooooooooooooooooooooong time
- 60. and you know how well plain text can be gzipped file is roughly 250GB unzipped
- 61. 3 weeks and counting :-| M1 Large Instance 7.5 GiB of memory, 4 EC2 Compute Units
- 62. High-Memory Quadruple Extra Large Instance 68.4 GB of memory, 26 EC2 Compute Units, 24 EBS blocks RAID 1 $1.640 per Hour = $ 1180 / month 29 hours!
- 63. Dedicated hardware 68 GB of memory, 8 Cores, 1 SATA disk $ 700 / month 10 hours
- 64. Macbook Pro 16 GB of Memory, SSD
- 65. 8.5 hours it is all about lots of memory and lots and lots of IO speed
- 66. and that was just OSM!
- 67. SRTM Shuttle Radar Topography Mission
- 69. about a minute per 1” x 1” file
- 70. from -180,0 to 180,90 28.800 files
- 71. 20 days later we were done importing
- 73. So now you know how it is made
- 74. Future? More sources, better maps, and..
- 75. Vector maps!
- 81. How do I get started? Mapbox.com download TileMill
- 82. Building your on OSM server (incl all build commands) http://weait.com/content/build-your-own-openstreetmap-server-lucid Working with terrain data (hillshading, slopeshading, color-relief) http://www.mapbox.com/tilemill/docs/guides/terrain-data/ for when viewing this presentation on Slideshare Tutorials
- 84. Rate me! GOTO Guide App !