RedisPods

Erik Brandsberg of Heimdall Data | Automated SQL Caching & Read/Write Splits

Episode Summary

Erik Brandsberg is CTO at Heimdall Data. He specializes in application-networking technologies for web and backend databases such as Redis. His diverse experience at Alteon, Citrix, and Juniper Networks gave him a solid understanding of operational complexities in a modern infrastructure, which led to the founding of Heimdall Data.

Episode Notes

Erik Brandsberg is CTO at Heimdall Data. He specializes in application-networking technologies for web and backend databases such as Redis. His diverse experience at Alteon, Citrix, and Juniper Networks gave him a solid understanding of operational complexities in a modern infrastructure, which led to the founding of Heimdall Data.

Show Highlights:

1. “What is Heimdall Data?” (1:30)
2. “What is the use case that is most relevant to our Redis users?”(7:20)
3. “What is an example of knowing what is cacheable?” (8:25)
4. “What is Automated about SQL Caching and how does it work? (9:30)
5. “How would you compare/contrast developing an app directly with Redis vs using this automated approach?” (12:45)
6. “How does this compare to using a plugin, such as with PHP in Wordpress?” (14:10)
7. “What is Read Write Split?”(16:50)
8. “What other features do you get with Heimdall Data?” (20:40)
9. “How do you get started with Automated SQL Caching?” (22:20)

Relevant Links:

• Heimdall Data & Redis: https://www.heimdalldata.com/redis
• Automated SQL Caching: https://www.heimdalldata.com/querycache/
• Read/Write Splits: https://blog.heimdalldata.com/2017/12/06/database-scaling-read-write-split/