Originally posted in Obics.io So, you’re trying to understand why your DataDog metrics bill is so high and you can’t figure it out? You’re not alone. DataDog pricing is one of the great mysteries of the universe. But in this post, we’ll go over how it works and try to make it as clear as possible. The first part of the bill for infrastructure hosting is a fixed price per host.

Originally posted in Obics.io Understanding DataDog pricing sometimes feels like you need a PhD on the matter. Some would say on purpose. And it’s a shame that such a wonderful product is accompanied by a less pleasant side. So, in this post, we’ll be demystifying exactly how DataDog bills for its log offering, which optimizations help and which don’t, and the fine-print gotchas to look out for. Plans, discounts, and overage For a big company, DataDog will always have a discounted plan, signed after careful negotiations.

If you’re new to the observability space, it’s easy to get lost in a sea of terms. What are APMs, traces, spans, telemetry, and metrics? Are Jaeger and Zipkin actual words? What’s the difference between OpenTelemetry and OpenTracing? Let’s try to make sense of all this language. Let me present a complete dictionary of observability and distributed tracing terminology. Telemetry refers to the collection of signals that your applications, services, and infrastructure send to observability backends.