Serverless technology can be very useful. In this article, I’ll discuss the basic serverless analytics architecture that can help you jumpstart your analytics capability — and without requiring a huge opex commitment (i.e., not requiring you to pay for a huge monthly bill for that analytics solution), especially as you are still experimenting and getting started, and even as you have to deal with terabyte-level data sizes.
Serverless Analytics: A 5 Part Series from JV Roig
JV Roig is a cloud technologist and the field CTO for Cascadeo, a public cloud managed services provider and IT Transformation partner.
He was recently named an AWS ambassador. This program recognizes technical experts across AWS domains who develop thought leadership content like technical write-ups, blogs, and open source projects. AWS Ambassadors by nature hold multiple AWS certifications, and take initiative to educate customers and partners regarding AWS services.
JV has written about how serverless web app architectures can save you a ton of money compared to traditional “serverful” deployments. DynamoDB is at the core of that architecture, and he has discussed at length about how to optimally use DynamoDB in a 4-part series of articles, “Infinite Scaling with DynamoDB.”
Now, learn more about Serverless Analytics in the 5-part series below.
