At the same time, we were starting to move these products to the cloud and run them in Docker and Kubernetes. This setup was nice, since new services automatically showed up in the system, but taking instances out was still painful. The cluster is simpler too, with just two identical nodes. Graphite was used for smaller-scale applications and OpenTSDB was used for collecting metrics from all of our physical servers via Collectd. Can you tell us about yourself and what Datawire does? A fully integrated system links about partners — banks, insurers and financial product distributors. To help solve that we announced a project this week to standardize and improve dashboards for Prometheus for tools like Cassandra, Elasticsearch, the OS, but also Prometheus itself.
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Even our little pull requests to improve the integration in a Docker environment and with messaging tools had been merged very quickly. We run our apps on Mesos and have integrated basic Docker container metrics already, which is better than previously, but we also want to have more of the infrastructure components in the Mesos cluster recording to the central Prometheus so we can have centralised dashboards showing all elements of supporting system health from load balancers right down to app metrics.
Can you tell us about yourself and what Compose does? This low coupling takes out a lot of friction between development and operations - a lot of services are built well orchestrated from the beginning, because it's simple and fun. Here is a have a look at how to get discount tools that you use inside your collection.
There are a lot to say.
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|We orchestrate this system with Ansible which handles initial machine setup ssh, core Debian packages, etc.
These services support use cases such as dynamically provisioning dozens of Kubernetes clusters a day, which are then used by our automated test infrastructure.
We adapted DropWizard Metrics to meet our requirements and made the adjustments to the DropWizard Prometheus exporter. We use alertmanager to send some alerts by SMS or in to our Flowdock. Even when the primary goes down and you refresh the dashboard, Trickster won't query the second node for the time series which it has in memory cached.
But now my monitoring needs to know about my service instances! No standard alerting system.
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The integrated service discovery makes it super easy to manage the scrape targets.
We originally went with collectd but ran into limitations with this. This central system then either aggregates the events into metrics StatsD is the prime example of this or stores events individually for later processing the ELK stack is an example of that.
Continuing our series of interviews with users of Prometheus, Richard Li from Datawire talks about how they transitioned to Prometheus. We already have an FAQ entry about why Prometheus chooses pull over pushbut it does not focus specifically on scaling aspects.
The system we decided to put to the test was Prometheus, for the following reasons:.
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|Prometheus is not Nagios When people think of a monitoring system that actively pulls, they often think of Nagios.
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Especially we are interested in performance and WAL related stuff features. Mostly we expose custom business-related metrics using textfile collector. When people think of a monitoring system that actively pulls, they often think of Nagios. We want to commit to only providing direct integration with service discovery mechanisms that we know we can maintain, and that work as intended.
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