June 22, 2023

215: The Cloud Pod Breaks Into the Quantum Safe

1 hour 7 minutes

Welcome to the newest episode of The Cloud Pod podcast – where the forecast is always cloudy! Ryan, Jonathan, and Matt are your hosts this week as we discuss all things cloud, including updates to Terraform, pricing updates in GCP SCC, AWS Blueprint, DMS Serverless, and Snowball – as well as all the discussion on Microsoft quantum safe computing and ethical AI you could possibly want!

A big thanks to this week’s sponsor:

Foghorn Consulting, provides top-notch cloud and DevOps engineers to the world’s most innovative companies. Initiatives stalled because you have trouble hiring? Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week.

News this Week:

00:57 Terraform AWS provider updates to V 5.0

Announced this week from Hashicorp, Terraform AWS provider updates to version 5.0

The updates include support that they say will help them “focus on improving the user experience.”

Support & improvements for general tags was added, which can now be set at the provider level – applying them across all resources.

Thanks to new features in Terraform plugin SDK and the Terraform plugin framework issues related to inconsistent final plans, identical tags, and perpetual diffs are now solved.

More information on the default tags can be found on the changelog.

04:11 Jonathan – “It’s kind of cool – it’s a neat hack as well as a way of AWS providing a really useful feature without having to do any work on the cloud platform itself. Just implement the tool that does the deploying rather than having a service which could do it for you.”

AWS

05:28 **NEW** AWS DMS Serverless

Recognizing that many organizations were migrating to cloud platforms due to huge amounts of data, AWS has launched their cloud Database Migration Service back in 2016.

To make the migration even more seamless, AWS has now announced DMS Serverless.

AWS DMS Serverless will automatically set up, scale, and manage migration resources – all to make your migrations easier and (hopefully) more cost effective.

Supports a variety of databases and analytics services, including Amazon Aurora, RDS, S3, Redshift, and DynamoDB among others.

06:36 Matt- “I was thinking about it at the end of the migration – we finally got it all replicated; now we’re gonna wait a month before we actually cut over. We need this very small change rate, vs. lets go replicate everything at the very beginning. It just kind of keeps it in sync. So in theory, it goes up and down, and you’re not provisioning based on peak capacity.”

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By Justin Brodley, Jonathan Baker, Ryan Lucas and Matthew Kohn

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