You’ve heard enough and more about High Cardinality.
You probably encounter it every day as an SRE, and as a user of software, it hampers your daily experience.
Visualizing and understanding High Cardinality can be hard at times.
So, we built highcardinality.com - a simple, fun website that explains what High Cardinality is from the prism of a bookshelf.
Do check it out ⬇️
- An ELI5 (Explain it Like I'm 5) on High Cardinality - here
- How endemic is Cardinality? For that, we need to look at food delivery apps, and why they have so much chaos on December 31st - here
- If Cardinality is such a massive issue, why can't it be fixed? What are we missing? When does one focus on it? - here
- Samples vs Metrics vs Cardinality. Another simple example of the impacts of High Cardinality - here
- What is High Cardinality in the context of monitoring while using Prometheus and Grafana? - here
- How 'streaming aggregations' can rein in high cardinality (nerd paradise article you should totally read) - here
- What makes Levitate (our managed time series data warehouse) different? - here
- Taming High Cardinality by sharding a stream - here
Join us on our Discord for questions, suggestions et al. You can also click here to stay updated on the latest and greatest across software monitoring/o11y.
Oh, you can also book a demo with us to understand our products, or catch-up with us on all things monitoring. ✌️