I have no experience with Datadog, but I'm not sure "cheaper" is an easy adjective to quantify. The whole metrics/logs/traces thing in Kubernetes is still painful, a lot of work and there's no end to the confusion. After several years in the trenches, it still takes me longer (i.e. more money) to install, configure and make sense of a monitoring stack than to set up the software it is monitoring.
It doesn't help that typically most software is ancient, spits out heaps of stack traces and wall-of-text output, doesn't use structured logging and generally doesn't let itself be monitored easily.
So yeah, getting meaningful insights from a highly available observability stack will take some serious time and resources, and I can understand smaller companies just handing it over to a third party so they can get on with their core business (AKA easy billing).
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Everyone has found Datadog to be overpriced!
So they switch to Prometheus and Grafana and now have to manage a Prometheus cluster. Far cheaper, but far more annoying.
I have no experience with Datadog, but I'm not sure "cheaper" is an easy adjective to quantify. The whole metrics/logs/traces thing in Kubernetes is still painful, a lot of work and there's no end to the confusion. After several years in the trenches, it still takes me longer (i.e. more money) to install, configure and make sense of a monitoring stack than to set up the software it is monitoring.
It doesn't help that typically most software is ancient, spits out heaps of stack traces and wall-of-text output, doesn't use structured logging and generally doesn't let itself be monitored easily.
So yeah, getting meaningful insights from a highly available observability stack will take some serious time and resources, and I can understand smaller companies just handing it over to a third party so they can get on with their core business (AKA easy billing).