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Chronosphere launches with $11M Series A to build scalable monitoring tool

techcrunch.com

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Re: Chronosphere launches with $11M Series A to build scalable monitoring tool

#11

Post by roskilli »

wizardsOfOz wrote: post #8
roskilli wrote: post #6

Hey 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.

Congrats Rob! Great to see you guys weren’t just good indoor soccer players ;). The M3DB architecture doc was a good read

Haha TY for the kind words, I had to stop playing years ago now unfortunately with family commitments - also I mainly enjoyed playing on a team than actually developing real soccer skills (which I relied on others in the team to pull me upwards, heh)

Re: Chronosphere launches with $11M Series A to build scalable monitoring tool

#12

Post by slovenlyrobot »

airocker wrote: post #7

What 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…

At their core these systems are basically specialized column stores, they have complete different read/write patterns to something like ES. The basic query unit for example is always going to be the scan, I'm not even aware of any monitoring system with some kind of secondary index capability. ES supports a bunch of nice result aggregation stuff on top of Lucene, whereas these systems are primarily /built for/ this use case

Re: Chronosphere launches with $11M Series A to build scalable monitoring tool

#15

Post by roskilli »

slovenlyrobot wrote: post #12
airocker wrote: post #7

What 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…

At their core these systems are basically specialized column stores, they have complete different read/write patterns to something like ES. The basic query unit for example is always going to be the scan, I'm not even aware of any monitoring system with some kind of secondary index capability. ES supports a bunch of nice result aggregation stuff on top of Lucene, whereas these systems are primarily /built for/ this u…

What's interesting about some of the more modern monitoring systems like M3 and Prometheus is that they have a reverse index on top of the column store entries to very quickly find the relevant metrics for a multi-dimensional query.

In fact M3 uses FST index segments, a common Apache Lucene segment which is used by ElasticSearch, for secondary index metric name and dimension full-text search capabilities: https://github.com/m3db/m3/tree/master/src/m3ninx/index/segm...

Re: Chronosphere launches with $11M Series A to build scalable monitoring tool

#17

Post by airocker »

richieartoul wrote: post #9
airocker wrote: post #7

What 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…

I think you'd be very hard pressed to scale an Elasticsearch cluster to 10s of millions of writes/s without breaking the bank (and even if you had a pile of money to light on fire I don't think an Elasticsearch cluster with the number of nodes you'd require to support that would work very well). Elasticsearch is a great piece of technology and its very versatile which makes it a great fit for a lot of problems (Uber,…

Es is very efficient with metrics especially in recent releases.

Re: Chronosphere launches with $11M Series A to build scalable monitoring tool

#18

Post by stampedes »

airocker wrote: post #7

What 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 the one thing i've worked with that i've had to learn to pretend i know nothing about. you do not want to get labeled the expert on that thing. it's nice and finicky.

er, crap, i've outed myself

Re: Chronosphere launches with $11M Series A to build scalable monitoring tool

#20

Post by reubenbond »

Congrats on the launch!

Metrics monitoring is hugely useful for figuring out what's going wrong (or right...) and where - especially when you can slice and dice by dimensions/tags. Microsoft (where I work) uses lots of metrics internally, for every sevice. It's nice to see M3/Chronosphere making this kind of thing more affordable and widely accessible.

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