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Hosted Monitoring: Evaluating InfluxDB Cloud and Grafana Cloud

71 点作者 pqvst将近 4 年前

4 条评论

sofixa将近 4 年前
I feel like InfluxDB were the best time series database in town for some time (2015-2018?), but they failed to monetise and exploit the space properly, and now they have lots of competition, many of it better in a lot of cases ( e.g. speed, space use, ease of use, pricing, integrations), be it for self-hosted or cloud.<p>Some of it was wasted effort ( Cheonograf is still useless compared to Grafana, who thought it&#x27;s a good idea to compete with it?), some was poor luck, some was decisions that backfired ( like removing clustering from the free version). Some of it was everyone deciding pull is better than push ( i disagree in most cases, but see the point).<p>Telegraf still remains a very solid collecting agent and IMHO the best in class. With everyone (from the SaaS monitoring vendors ) moving to OpenTelemetry i think that in some time it&#x27;ll fall behind as well.
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gouthamve将近 4 年前
Hey, you can also point your Telegraf directly at GrafanaCloud Prometheus if you&#x27;re interested in using Prometheus. See: <a href="https:&#x2F;&#x2F;grafana.com&#x2F;docs&#x2F;grafana-cloud&#x2F;how-do-i&#x2F;push-from-telegraf&#x2F;#pushing-using-the-remote-write-output" rel="nofollow">https:&#x2F;&#x2F;grafana.com&#x2F;docs&#x2F;grafana-cloud&#x2F;how-do-i&#x2F;push-from-te...</a><p>Our Graphite hosting is also best in class and this makes me happy to see the good feedback!<p>PS: I work on Grafana Cloud Prometheus.
KaiserPro将近 4 年前
Old man opinion here:<p>I really like grafana, personally I&#x27;d probably host it myself even now. (At all previous companies I did.) Its well contained and even with alerting its simple to set up and sync state (assuming you are using a hosted database, which can be expensive)<p>Where my opinion gets controversial: I dislike Prometheus, and I really don&#x27;t like influx. I much prefer graphite.<p>Influx has higher temporal resolution, and an SQL interface (its the SQL interface I don&#x27;t like)<p>Prometheus has a pull model, which I can see the appeal of, but I don&#x27;t really like. But it deals with ephemeral metrics much better (however you need a gateway to cache the metrics, as they might not get pulled in time.)<p>The issue is that graphite&#x27;s interface is much better for discovering and filtering&#x2F;transforming your data. I&#x27;m not the worlds greatest SQL person, so I can&#x27;t do that much complex stuff, I also don&#x27;t know how to do maths in SQL well. With graphite I don&#x27;t need to worry, all the functions are there in menu, derivative? yes, all the averaging? mostDeviant? yes.<p>Graphite made making graphs quick and easy, I don&#x27;t think I can say the same for influx or prometheus. I know that all sorts of non technical people can use graphite&#x2F;grafana. I&#x27;m less convinced that they can use Prometheus or influx as well without training.
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mikojan将近 4 年前
InfluxDB Cloud might be the single best solution if what you want is a managed service that just works somehow.<p>As a time series database however it is rather painful.<p>You can&#x27;t have InfluxDB only. It comes integrated with the complete ecosystem. For example, it exposes an app&#x2F;web server by default which you can&#x27;t disable.<p>Flux DSL is decent but so was SQL and I already knew SQL.<p>Shipping a database does not appear to be topping their priority list and it&#x27;s kind of irritating. A year into the InfluxDB 2 release you weren&#x27;t able to delete data. Now you can, but you can&#x27;t be sure when that&#x27;s going to actually happen. And there&#x27;s no way of monitoring&#x2F;managing currently running queries. Add to that its massive memory consumption and you&#x27;re left wondering what other database solution would get away with this.<p>For personal projects I have since moved to IoTDB