is there a document on resource benchmarking of Loki components to achieve 2TB/h of ingestion and 80GB/s query throughput? I want to ingest 2TB/day, I am not sure how many distributor, ingestor and queriers I need and how much CPU and RAM I must assign to each components.
You must run ingesters as statefulset. If you are running Loki in microservices mode then you can configure it with a local or remote storage server to store logs and indices. The supported backend stores are s3, azure storage account or GCS bucket.
![[ Kube 100 ] Getting started with Grafana Loki in Kubernetes](http://i.ytimg.com/vi/UM8NiQLZ4K0/mqdefault.jpg)
is there a document on resource benchmarking of Loki components to achieve 2TB/h of ingestion and 80GB/s query throughput? I want to ingest 2TB/day, I am not sure how many distributor, ingestor and queriers I need and how much CPU and RAM I must assign to each components.
Is there have a grafana dashboard template for loki like this video showed at time 09:02
How Loki can retain logs? if loki pod gets restarted. i have tested it and it lost all logs
You must run ingesters as statefulset. If you are running Loki in microservices mode then you can configure it with a local or remote storage server to store logs and indices. The supported backend stores are s3, azure storage account or GCS bucket.