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I have a K8s-Cluster running which had some Pods/Statefulsets running PostgreSQL.
As PersistenVolumes I only have a NFS-Shares. Now the performance of the PostgreSQL is getting slower.
Can it be related to the fact I'm using NFS-Shares?
What should I use instead?
Yes, it could be one of the reason since it is network file system, any glitches or high load could performance issue with the underlying application and it is always best to use the block storage like Ceph, amazon ebs etc.
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I am trying to understand the cost of performance hit it will take and the task required at hand for entry point.
For instance, it makes sense to compress the images before uploading the source - The client.
But at the same time if run the compression algorithm. Would't it take the hit for performance?
I run React on server (NodeJS), so I have one more layer, So shall client or NodejS server ( Front-end server ) or backend server take the compression part? We store these images in s3 eventually.
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How has the it's performance and stability been for you?
I'm looking to maybe implement this on a cluster to avoid a network or clustered file system and it should fit well with auto scaling the cluster of servers. But what are the con's involved in doing this? Such as price?
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Is it preferable to use AngularJs for large and complex enterprise application , which in turn will use Internet Explorer 8 as client.
Choosing technology stack for developing applications would be subjective. You may go through various points mentioned on this link and learn more about AngularJS's IE8 compatibility.
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Is it better to save a image path as (varchar) in a database or save it as blob/varbinary. The image will appear on front end and I will be using asp classic to implement that.
Generally speaking I find that it is easier to save the image path in the database. This makes the database more portable and I find that it is easier to control access to the data.
There is a discussion here that gets further in depth. They come to the same conclusion that I do. File paths are generally better.
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If you could wave the magic wand and fix something in the GAE 1.5.5 documentation that have caused you lost time, grief, or missed opportunities, what would they be?
Now that the Datastore reads is a crucial quota in our billing, I would like to read something about the "Datastore reads costs" since only the write part is covered.