Distributed Data Show Episode 61
Amanda, David, and Adron talk about the challenges associated with moving their KillrVideo reference application to a multi-cloud cluster and the many considerations that come into play when going multi-cloud.
Highlights!
17:22 - “See where providers line up” what is the lowest common denominator
18:55 - Would latency be very different between providers as compared to within a single provider in any given region?
21:15 - “always know what everything is doing”
23:45 - OpsCenter allows homogenous view regardless of cloud provider
24:53 - Ensure to label and identify which providers your data centers and nodes are located in
25:35 - Why would someone span a cluster over multiple providers?
27:32 - Have to be cognizant on where load balancers, name servers, etc... are located
28:38 - Exploring some use cases for multi-cloud clusters
30:02 - Providers become competitors with their clients
30:26 - Moving application and database architecture can take months or years depending on size and complexity
31:06 - Security compliance, intellectual property, tracking, geographic location of data
33:41 - Any database or application needs to take data locality into consideration
34:03 - Replication inherent in Apache Cassandra makes moving data much easier
35:01 - Amanda starts wrapping things up from easy to difficult
36:58 - Things that used to take months or years take minutes today when thinking in terms of cloud compared to procuring hardware and installing software manually
at DataStax
at DataStax
at DataStax