The video here is a quick walk-through with visuals to help anyone who is frustrated with “I have data but don’t know why it broke!”
[Read More]The secret step: Make Telemetry Useful
A 5 minute video about how backends subtlely limit exploration.
How People Approach Grafana
Compared to the Honeycomb baseline.
Grafana was already approached. A decade ago someone needed to graph something and did so. Since you can put it in front of whatever data store, it shows up in lots of places.
In recent years, Grafana (the firm) has created Grafana Cloud, gobbled up backends like Mimir, Tempo, and Pyroscope. They’re now presenting as a batteries-included observability solution. Let’s dig into that!
[Read More]How People Approach Datadog
Compared to the Honeycomb baseline.
Observing systems has evolved over the years, and Datadog has been there helping it along. The way agents deliver data to predictable and information-rich dashboards is very nice. There is a lot to be said about being predictable and I don’t think anyone would argue about Datadog being predictable on all fronts, except maybe cost.
In this post, I’m going to use the persona frame from the baseline post and walk the same three people through Datadog.
[Read More]How People Approach Observe
Compared to the Honeycomb baseline.
In a similar way to Honeycomb being “a great way to store and retrieve telemetry”, someone noticed that Snowflake was a great way to store and retrieve telemetry. Observe was born out of that concept, has one datastore with everything poured into it and shaped on the way through. No silos is the whole pitch.
In this post I’m using the persona frame from the baseline post and walking the same three people through Observe.
[Read More]