Chronosphere launches with $11M Series A to build scalable monitoring tool
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Re: Chronosphere launches with $11M Series A to build scalable monitoring tool
#2Re: Chronosphere launches with $11M Series A to build scalable monitoring tool
#3I recall a thread here from 2-3 weeks ago about how “Uber-scale” wasn’t really Uber scale, and that most of these publicized “Uber-scale” projects ended up getting canned internally. Any insider insight to this M3 project?
Re: Chronosphere launches with $11M Series A to build scalable monitoring tool
#4Re: Chronosphere launches with $11M Series A to build scalable monitoring tool
#5> Chronoshere, a startup from two ex-Uber engineers, who helped create the open source M3 monitoring project to handle Uber-level scale, officially launched today with the goal of building a commercial company on top of the open source project. I recall a thread here from 2-3 weeks ago about how “Uber-scale” wasn’t really Uber scale, and that most of these publicized “Uber-scale” projects ended up getting canned inte…
Re: Chronosphere launches with $11M Series A to build scalable monitoring tool
#6Re: Chronosphere launches with $11M Series A to build scalable monitoring tool
#7Re: Chronosphere launches with $11M Series A to build scalable monitoring tool
#8Hey Rob a co-founder and M3DB creator here, more than happy to answer any queries anyone might have. We're committed on continuing M3 being 100% apache 2 licensed, clustering and all other M3 features included. We're focused on providing reliable metrics hosting at scale.
Re: Chronosphere launches with $11M Series A to build scalable monitoring tool
#9What I am not getting from my superficial knowledge is that why is Prometheus getting so much traction over elastic search. Elastic search claims to be as good for metrics and events. The ES database itself is more advanced with eventual consistency and search capability. It can do log analytics and it can be backend to tracing tool like Jaeger. Why so much investment in Prometheus. Disclaimer: I have not used Promet…
Elasticsearch is a great piece of technology and its very versatile which makes it a great fit for a lot of problems (Uber, where M3 was developed, is a heavy consumer of Elasticsearch for logging purposes for example), but for the types of metrics workloads and scale that M3/Prometheus were designed for Elasticsearch simply wouldn't work.
Re: Chronosphere launches with $11M Series A to build scalable monitoring tool
#10Hey Rob a co-founder and M3DB creator here, more than happy to answer any queries anyone might have. We're committed on continuing M3 being 100% apache 2 licensed, clustering and all other M3 features included. We're focused on providing reliable metrics hosting at scale.