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https://github.com/ravindrajob/Observability-Monitoring
Monitoring - Observability with thanos + docker + Grafana stack
https://github.com/ravindrajob/Observability-Monitoring
azure cloud docker docker-compose grafana monitoring prometheus telegraf thanos
Last synced: 3 months ago
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Monitoring - Observability with thanos + docker + Grafana stack
- Host: GitHub
- URL: https://github.com/ravindrajob/Observability-Monitoring
- Owner: ravindrajob
- Created: 2021-06-03T13:47:12.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-09-26T14:11:56.000Z (9 months ago)
- Last Synced: 2023-09-26T19:12:25.743Z (9 months ago)
- Topics: azure, cloud, docker, docker-compose, grafana, monitoring, prometheus, telegraf, thanos
- Language: Shell
- Homepage:
- Size: 13.7 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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- my-awesome-stars - ravindrajob/Observability-Monitoring - Monitoring - Observability with thanos + docker + Grafana stack (Shell)
README
# Observability in the CLOUD
### We can imagine this scenario where we need to monitor each customers with one Stack.
## The four Golden Signals :
- Latency
- Traffic
- Errors
- Saturation
## why collecting this signals ?
Alerting: notify when something is wrong
Troubleshooting: help us to isolate and fix the problem
Tuning/Capacity Planning: to assist us in improving our setup over time
## Why monitoring ?
## Wich tools ?
In our case we will use those components on a docker compute:
- Thanos for the retention (and a Azure Storage account)
- Prometheus to orchestrate the supervision
- AlertManager for alerting
- Grafana for display metrics and logs
- Loki for parse our LOGs
- Telegraf for self monitoring
- Nginx to securise and expose our stack
### Our principal monitoring stack is made with this :
