Lessons learned making Confluent Cloud | Addison Huddy and Dan Rosanova, Confluent
0 likes335 views
The document outlines 10 lessons learned from building Confluent Cloud. Some key lessons include that multi-cloud environments can have wildly different implementations; best practices for the cloud change rapidly so constant evolution is needed; running Kafka at scale in the cloud requires decoupling compute and storage; and monitoring the right metrics is important as failures and upgrades will occur frequently at scale in the cloud.
Related topics:1 of 18
Download to read offline
More Related Content
What's hot (20)
Ad
Similar to Lessons learned making Confluent Cloud | Addison Huddy and Dan Rosanova, Confluent (20)
Ad
More from HostedbyConfluent (20)
Recently uploaded (20)
Lessons learned making Confluent Cloud | Addison Huddy and Dan Rosanova, Confluent
- 1. 10 Lessons Learned Building Confluent Cloud Addison Huddy, Product Manager for Kafka Dan Rosanova, Product Manager for Cloud
- 2. #1 Multi-Cloud On the surface, the cloud are similar. At the limit, they are wildly different.
- 3. #2 Constant Cloud Evolution What is best practice today, won’t be tomorrow.
- 4. #3 A New Storage Engine Running Kafka at scale in the Cloud requires the decoupling of Compute and Storage
- 5. #4 Metrics & Monitoring Looking at the wrong things
- 7. #5 K8s is only part of the answer
- 9. #6 Cloud leads to many, smaller clusters
- 10. #7 Pre-cloud thinking & Workload Isolation Modern cloud thinking is about density of workloads and getting rid of waste
- 11. #8 Upgrades are a constant
- 12. #9 Failures are to be expected
- 14. #10 Counting at scale is hard
- 16. Value Line
- 17. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 17 Sign up at confluent.cloud