InfluxDB vs. Sensu, by Sumo Logic

InfluxDB is very good at storing monitoring metrics (e.g. performance data). InfluxDB is not the right choice if you need to store other data types (like plain text, data relations etc.).

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• Well suited for raising pagers when you have count-based metrics.
• Well suited for threshold-based metrics.
• Not well suited for tracking events over the day, since graphs and other visualizations are missing.

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• Perfect handling telemetry data.
• Low latency, near real time.
• SQL-like language makes it easier to query.

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• Unique concept as a "monitoring router" that can tie services together.
• Backward-compatible with Nagios environments.
• More of a DevOps focus than Nagios.

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• GUI based administrator console

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• Cannot be solely used for tracking metrics over time.
• Not a very good UI.

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InfluxDB is a near perfect product for time series database engines. The relatively small list of cons are heavily outweighed by it's ability to just work and be a very flexible and powerful database engine. The community and support provided by the corporation are the only areas I have little experience.

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We have worked with the InfluxDB support team a few times so far and it has been positive. Issues submitted are worked on promptly and we have good feedback.

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Sensu's customer support was always willing to work with us but never really seemed to learn much from our experiences. I think they get a lot of customers with DevOps IT teams that are willing to put in a lot of elbow grease to get the most of Sensu's architecture. However, despite explaining my continued disappointment with their documentation and the overall flow of the product, I never got much more than a "sorry" and a notice that their documentation was open source if I wanted to contribute to it. The problem, of course, is that you can't document what you don't understand. I'm a former technical writer, so I know that better than most.

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To be honest, I didn't look at alternatives since InfluxDB performs very well if you can oversee the lack of security and HA features. But for all challenges, there is an easy solution which brings you forward (e.g. read load balancing can be achieved by using a common HTTPS load balancer).

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Have used New Relic and Sematext Cloud for APM and for tracking over days and visualizing the issues. But those are very expensive as compared to Sensu.

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• Provided us a time series DB.
• With the SQL-like language, it is very easy to learn.
• Empowered us to keep track of our events.

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• Standing up the Sensu Go server took very little effort.
• Setting up and maintaining the build processes and deployment logic for Sensu assets and checks was somewhat exhausting and resulted in lower adoption among non-DevOps IT.
• The limited web interface resulted in lower adoption among non-DevOps IT.

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