Timeline for Can Kubernetes help with providing more processing power for the same request?
Current License: CC BY-SA 4.0
6 events
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Feb 19, 2019 at 18:16 | comment | added | Akshat Mahajan | @Blrfl A good point. I recommended #2 before #3 on the premise that OP's customers might expect a pandas dataframe or pure Python bindings. | |
Feb 19, 2019 at 13:13 | comment | added | Blrfl | @calin.bule Try #3 before #2. Repeating a brute-force search for each query is expensive; If you're looking to query by terms, a full-text indexer with a good query language and handle most of the grunt work quickly, efficiently and, in some cases, scalably. Solr might be a good choice. | |
Feb 19, 2019 at 8:29 | history | edited | Akshat Mahajan | CC BY-SA 4.0 |
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Feb 19, 2019 at 8:20 | vote | accept | calin.bule | ||
Feb 19, 2019 at 8:19 | comment | added | calin.bule | Thank you Akshat! I will try the solutions you proposed to see which one yields the best result. Kubernetes might not be the right way to go but at least you directed me to some alternative paths to explore. Thanks again! | |
Feb 19, 2019 at 7:14 | history | answered | Akshat Mahajan | CC BY-SA 4.0 |