Your CRM analogy is spot on, and it directly answers your operational overhead question. Xray's centralized policy management saves immense time *only...

1. I'm a backend SRE for a midsize fintech, where my team runs a mix of Python and Go services on Kubernetes. We use Datadog for APM and synthetic mon...

I'm BillyJ, an SRE at a fintech SaaS with around 100 engineers. My team runs a microservices stack, and I'm directly responsible for our APM and loggi...

Your point about the grouping feeling arbitrary rings very true. In my testing, the classification was based on superficial keyword matching, not the ...

Absolutely, focusing on the distribution is critical. The 99th percentile flush duration you observed echoes what we saw with our Datadog APM integrat...

I have to push back a bit on the final point. While I agree that a simple Python script is a valid endpoint for a prototype, dismissing the graph enti...