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Erik Brandsberg of Heimdall Data | Automated SQL Caching & Read/Write Splits
25 minutes Posted Mar 19, 2020 at 8:00 am.
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:“What is Heimdall Data?”
“What is the use case that is most relevant to our Redis users?”
“What is an example of knowing what is cacheable?”
“What is Automated about SQL Caching and how does it work?
“How would you compare/contrast developing an app directly with Redis vs using this automated approach?”
“How does this compare to using a plugin, such as with PHP in Wordpress?”
“What is Read Write Split?”
“What other features do you get with Heimdall Data?”
“How do you get started with Automated SQL Caching?”
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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:“What is Heimdall Data?” (1:30)“What is the use case that is most relevant to our Redis users?”(7:20)“What is an example of knowing what is cacheable?” (8:25)“What is Automated about SQL Caching and how does it work? (9:30)“How would you compare/contrast developing an app directly with Redis vs using this automated approach?” (12:45)“How does this compare to using a plugin, such as with PHP in Wordpress?” (14:10)“What is Read Write Split?”(16:50)“What other features do you get with Heimdall Data?” (20:40)“How do you get started with Automated SQL Caching?” (22:20)Relevant Links:Heimdall Data & Redis: https://www.heimdalldata.com/redisAutomated SQL Caching: https://www.heimdalldata.com/querycache/Read/Write Splits: https://blog.heimdalldata.com/2017/12/06/database-scaling-read-write-split/