Performance

In mathematics, cardinality is the measure of the number of elements (distinct values) of a set. For example, the set {200,404,503} contains 3 elements so the cardinality of it is 3. But what does “High Cardinality” have to do with (time series) metrics? Glad you asked, the answer is everything. :)

The rabbit hole goes infinitely deep if you want to do latency measurements, benchmarking, and performance testing/tuning/analysis. They are very hard to do right and it is very easy to mess them up. In this post, I would like to show you a very common mistake (that is just 0.000001‰ of the tip of the iceberg) and an extremely simple solution to fix it.

• Why Developers Keep Making Bad Technology Choices
• The Best Code is No Code At All
• Delay startup of your Spring Boot application until your DB is up
• What Is a Distributed Application?
• Project Loom Early Access builds are available
• How Did Vim Become So Popular?
• Continuously Measure Site Performance With Speedlify
• New Lego Mindstorms kit
• Add README.md to your GitHub profile
• Best of the JDK Feature Face-Off final vote

Including:

• Whats New in Spring Boot 2.3
• AdoptOpenJDK joins to the Eclipse Foundation
• Mozilla VPN
• JDK 15 is now in Rampdown Phase One
• A history of the Groovy programming language
• Simple & effective G1 GC tuning tips
• TornadoVM
• 2020 Chrome Extension Performance Report
• Piranha
• AWS CloudFormation Guard
• Spotify Backstage