3 ms·

Chronosphere, a startup founded by two of the early M3 engineers, just raised 11 million dollars to build a monitoring platform based around M3DB: https://techc

Chronosphere, a startup founded by two of the early M3 engineers, just raised 11 million dollars to build a monitoring platform based around M3DB: https://techcrunch.com/2019/11/05/chronosphere-launches-with-11m-series-a-to-build-scalable-cloud-native-monitoring-tool https://techcrunch.com/2019/11/05/chronosphere-launches-with... Uber also uses M3DB extensively internally and the project is nowhere near being abandoned or on life support: https://github.com/m3db/m3/commits/master https://github.com/m3db/m3/commits/master

bfung 7y ago
Yep, another way to pre-market/pre-signal to investors. A pretty common story these days: 1. I built an X to solve Unicorn U’s problem. 2. Open source it, give talks on it 3. Leave Unicorn U and start a company based on X 4. ... 5. Profit(???) Also, debatable whether or not Unicorn U actually needed a freshly built X instead of using existing tools/tech.
- sieabahlpark 7y ago
  Seems genius imo
StreamBright 7y ago
>> 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.

bfung 7y ago

Yep, another way to pre-market/pre-signal to investors. A pretty common story these days: 1. I built an X to solve Unicorn U’s problem. 2. Open source it, give talks on it 3. Leave Unicorn U and start a company based on X 4. ... 5. Profit(???) Also, debatable whether or not Unicorn U actually needed a freshly built X instead of using existing tools/tech.

sieabahlpark 7y ago
Seems genius imo

StreamBright 7y ago

>> 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.