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Please advice on using IBM Turbonomic dynamic VM resource optimization for DataMiner components

Solved421 views27th August 2024
1
Conan Van Hove [SLC] [DevOps Advocate]587 3rd June 2024 0 Comments

Goal is to monitor the real time utilization and dynamically/automatically up- or downscale the VM resources for Dataminer, Elasticsearch and Cassandra using IBM Turbonomic.

Looking for recommendations for such dynamic allocation changes.

Marieke Goethals [SLC] [DevOps Catalyst] Selected answer as best 27th August 2024

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Michiel Saelen [SLC] [DevOps Enabler]5.63K Posted 3rd June 2024 0 Comments

Currently, there is no recommendation on configuring the virtualization layer, which virtualization SW, or how to scale up/down. Every machine (virtualized or physical) is expected to meet at least the minimum requirements. When working with virtualized environments that share resources it is not easy to verify these requirements (running a benchmark on one machine could be fine, but running the benchmark on all of them simultaneously could be problematic). We have seen that configuration on the virtualization layer can make enormous improvements (e.g. some virtualization layers disable CPU caching).

DataMiner Compute Requirements | DataMiner Docs

Marieke Goethals [SLC] [DevOps Catalyst] Selected answer as best 27th August 2024
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