[mapserver-users] Gallery: running mapserver in docker on kubernetes

[Michael Smith]

You can also use something like goofys which is a fuse provider for s3 which provides s3 access while using normal file path access. It’s useful when you have to deploy to cloud and non cloud. 

Michael Smith
RSGIS Center 

> On Aug 30, 2019, at 7:31 PM, Jan Hartmann <j.l.h.hartmann at uva.nl> wrote:
> 
> Impressive, looks like viscurl is a real alternative to local files. Thanks for the information, I'm certainly going to look further on this.
> 
> Jan
> 
>> On 8/30/2019 6:15 PM, Peter Schmitt wrote:
>>> On Fri, Aug 30, 2019 at 9:48 AM Jan Hartmann <j.l.h.hartmann at uva.nl> wrote:
>>> Thanks Peter, this is really useful. Do you have any real-world benchmarks for MapServer that compare regular file access with vsicurl access, using optimized Geotifs? I've seen the tests for GDAL at https://trac.osgeo.org/gdal/wiki/CloudOptimizedGeoTIFF, but what about servering  large map-sets over the web?
>>> 
>> I don't have any sort of formal benchmarks... but I can provide anecdotes from my experiences. Random access to a 256x256 block of extremely large COGs served from fast SSD would have maybe 100ms response.  The same COG accessed with /vsicurl/:  First time the tile is requested about 400ms.  GDAL has a least recently used curl cache.  When a tile is cached, subsequent requests can be served maybe about 100ms. My cloud provider is AWS... so access from s3 using MapServer running in a Docker container on an AWS EC2 instance in the us-east-1 region... and the tile is requested from my local wireless network in Colorado.
>> 
>> When the data is a COG in s3 and MapServer runs near the cloud storage, performance is quite good. I've scaled only             to dozens of users.  Allegedly s3 can scale to 5,500 requests per second per prefix in s3.  https://docs.aws.amazon.com/AmazonS3/latest/dev/optimizing-performance.html Presumably it would scale fairly well by adding more MapServer processes.
>>  
> 
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