I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool. Source: 6 months ago

Awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago

AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago

Yep, agreed. Go is a great language for AWS Lambda type workflows. Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution. - Source: Hacker News / about 3 years ago

I hear good things about Batch Patch. Seems simple and more importantly, cost effective. Source: over 1 year ago

If your a smaller it department, batchpatch is also pretty handy: https://batchpatch.com/. Source: over 1 year ago

Batchpatch (https://batchpatch.com/ Does patching but also bulk execute scripts on multple computers in the Windows enviroment). Source: over 1 year ago

Https://batchpatch.com It’s cheap and pretty useful, sure you can script everything it does if you want, but for the price, why bother. Source: over 1 year ago

Linux sysadmin here, I'm happy with batchpatch for the Windows hosts that are in my fleet. Source: about 2 years ago