pandas dataframe versioning 100x times faster
In omega-ml pandas dataframes can be stored as versioned change-sets. This means you can get back a previous-version at any point in time or by a tag. Changes are tracked by index so you get to choose the key. Previously this was very slow, it is now 100x times faster. How? Smartly collecting all database updates and doing them in one go, instead of one-by-one.
refactored a very complex ingress configuration with built-in rancher k8s nginx
this removes the requirement for an external loadbalancer completely, as rancher already has built-in l4 and l7 loadbalancing. To be precise, l4 is not lb'd but it works for the purpose we need it.
Enabling single node clusters
Single node clusters are often requested by new teams. omegaml scales from laptop to cloud so it is easy to achieve. Leveraging kubernetes
Helped an analytics team to be more productive
The team was struggling to streamline their analytics toolset. Using my analytics reference architecture & curated tools selection matrix I helped them find a streamlined new approach, in just 4 workshops. Doing things faster and more consistently now.
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