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CTO.ai

CTO.ai

cto.ai

Build, share & run developer workflows in the CLI + Slack

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Application & Data8
Utilities1
DevOps2
Application & Data
8 tools (73%)
Utilities
1 tools (9%)
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2 tools (18%)

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Utilities

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CTO.ai

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Tristan Pollock
Tristan Pollock

Head of Community at CTO.ai

Jul 17, 2020

ReviewonCTO.aiCTO.ai

That’s a great question! But first, is there any particular reason you are avoiding AWS? Amazon has a lot of great services to handle data collection (Amazon Kinesis), processing (Lambda, Amazon EMR, Amazon Glue), storage (S3), plus monitoring and reporting (CloudWatch). As you are collecting and processing data, you can kick start your work on Machine Learning models with tools like Amazon SageMaker which is more efficient (and better on the budget) than running an EC2 instance with a Data Science image. Lastly if you are interested in DataBricks, it is fully supported by Amazon.

Back to the why, not AWS? If it is about the overhead of setting up all the resources, you can use The Ops Platform to help automate the steps and maintenance allowing anyone on your team to be able to handle this with confidence. Reach out to us if you need any help.

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CTO.ai
CTO.ai
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Tristan Pollock
Kyle Campbell