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>> While the founders, CEO Martin Mao and CTO Rob Skillington, were working at Uber, they recognized a gap in the monitoring industry, particularly around cloud

>> While the founders, CEO Martin Mao and CTO Rob Skillington, were working at Uber, they recognized a gap in the monitoring industry, particularly around cloud-native technologies like containers and microservices What is the actual gap that is not addressed with one or all of the following? - Prometheus / Grafana [1] - Datadog [2] - Cloudwatch [3] 1. https://docs.docker.com/config/thirdparty/prometheus/ https://docs.docker.com/config/thirdparty/prometheus/ 2. https://www.datadoghq.com/blog/introducing-live-container-monitoring/ https://www.datadoghq.com/blog/introducing-live-container-mo... 3. https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/Container-Insights-metrics-EKS.html https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitori...

opsunit 7y ago
Wavefront: https://www.wavefront.com/ https://www.wavefront.com/
nwsm 7y ago
Logging / Monitoring is the hottest market to disrupt right now.
johncolanduoni 7y ago
Prometheus doesn’t have a good built in story for horizontal scaling of storage and queries, or long term storage. That’s why there’s M3DB, Cortex, etc. which let you send metrics to a set of Prometheus servers which then write to a cluster that handles broad queries and tiered storage. So these are less a competitor to Prometheus and Grafana and more an augmentation of it since it supports both emitting metrics in Prometheus form and querying them with PromQL. Datadog gets very expensive beyond a certain point; much bigger than most startups, but much smaller than Uber. Cloudwatch is usually used as a source of metrics rather than a destination. It doesn’t have as rich a data model as Prometheus for custom metrics, and has a lot of quite limiting restrictions (like only 10 tags per metric).
- StreamBright 7y ago
  Thanks for the detailed explanation. I agree with you on all points. I also think that even with the limitations you mentioned one company can find suitable monitoring for almost every scenario. I guess there is still a big enough market for M3DB where you need a huge amount of metrics, horizontal scalability and efficient long term storage.

opsunit 7y ago

Wavefront: https://www.wavefront.com/ https://www.wavefront.com/

nwsm 7y ago

Logging / Monitoring is the hottest market to disrupt right now.

johncolanduoni 7y ago

Prometheus doesn’t have a good built in story for horizontal scaling of storage and queries, or long term storage. That’s why there’s M3DB, Cortex, etc. which let you send metrics to a set of Prometheus servers which then write to a cluster that handles broad queries and tiered storage. So these are less a competitor to Prometheus and Grafana and more an augmentation of it since it supports both emitting metrics in Prometheus form and querying them with PromQL. Datadog gets very expensive beyond a certain point; much bigger than most startups, but much smaller than Uber. Cloudwatch is usually used as a source of metrics rather than a destination. It doesn’t have as rich a data model as Prometheus for custom metrics, and has a lot of quite limiting restrictions (like only 10 tags per metric).

StreamBright 7y ago
Thanks for the detailed explanation. I agree with you on all points. I also think that even with the limitations you mentioned one company can find suitable monitoring for almost every scenario. I guess there is still a big enough market for M3DB where you need a huge amount of metrics, horizontal scalability and efficient long term storage.