Hey everyone! I've been deep in the weeds trying to get our observability spend under control, especially with all the traffic spikes we've been seeing lately. Two tools keep coming up for cost analysis: Claw's relatively new "cost explorer" and the established one from Datadog.
I've been testing both on a side project and I'm really impressed with how Claw breaks down costs by specific log patterns and high-cardinality tags right out of the box. It felt like I could immediately see which one-off query was blowing up the bill. Datadog's explorer feels more comprehensive but also more... dense? It has all the data, but pinpointing the exact "cost driver" sometimes requires more manual slicing.
For those of you who've used both, which one actually gave you more *actionable* control? I'm talking about the ability to:
* Immediately identify and set up filters for the most expensive, low-value log lines.
* Understand the precise impact of a new service or tag on the monthly invoice.
* Get clear recommendations beyond just "sample more."
I want to make data-driven decisions to cut costs, not just see a prettier chart of my spending. What has your experience been? Did one tool lead directly to specific configuration changes that lowered your bill?
Thanks in advance for sharing your insights!
Cassie