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If you want to have some sort of auto scaling, you will need to monitor to some extent though as this will be the signal for scaling up/down. I noticed that https://github.com/jcwimer/docker-swarm-autoscaler already includes the relevant prometheus configs required for just scaling by cpu.
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If you don't want to start with Kubernetes, faasd (https://github.com/openfaas/faasd) might be worth a look.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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If you want to look into FaaS in selfhosted ways, take a look at OpenFaaS, which nowadays works on Kubernetes though - https://www.openfaas.com/. Note that the CE version of OpenFaaS only includes some basic autoscaling. For more complex solutions check out their paid version.
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If you are interested in an inofficial way that enables you to stick Docker Swarm (https://github.com/neuroforgede/nf-faas-docker-stack ).
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swarmsible-stacks
Set of default production grade stacks for use with https://github.com/neuroforgede/swarmsible and https://github.com/neuroforgede/swarmsible-hetzner
There are many ways to achieve this. The simplest is to stick with what you have and sprinkle some prometheus on top. If you want to know how to get a prometheus + Grafana etc Stack up and running, check out https://github.com/neuroforgede/swarmsible-stacks/tree/main/02_monitoring where we have a modernized swarmprom which includes prometheus.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.