Monitoring images

Grafana

Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data-driven culture:

• Visualizations: Fast and flexible client side graphs with a multitude of options. Panel plugins offer many different ways to visualize metrics and logs.
• Dynamic Dashboards: Create dynamic & reusable dashboards with template variables that appear as dropdowns at the top of the dashboard.
• Explore Metrics: Explore your data through ad-hoc queries and dynamic drilldown. Split view and compare different time ranges, queries and data sources side by side.
• Explore Logs: Experience the magic of switching from metrics to logs with preserved label filters. Quickly search through all your logs or streaming them live.
• Alerting: Visually define alert rules for your most important metrics. Grafana will continuously evaluate and send notifications to systems like Slack, PagerDuty, VictorOps, OpsGenie.
• Mixed Data Sources: Mix different data sources in the same graph! You can specify a data source on a per-query basis. This works for even custom datasources.

Links:

• Repository
• Documentation

Prometheus

Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts when specified conditions are observed.

The features that distinguish Prometheus from other metrics and monitoring systems are:

• A multi-dimensional data model (time series defined by metric name and set of key/value dimensions)
• PromQL, a powerful and flexible query language to leverage this dimensionality
• No dependency on distributed storage; single server nodes are autonomous
• An HTTP pull model for time series collection
• Pushing time series is supported via an intermediary gateway for batch jobs
• Targets are discovered via service discovery or static configuration
• Multiple modes of graphing and dashboarding support
• Support for hierarchical and horizontal federation

Links:

• Repository
• Documentation

Loki

Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream.

Compared to other log aggregation systems, Loki:

• Does not do full text indexing on logs. By storing compressed, unstructured logs and only indexing metadata, Loki is simpler to operate and cheaper to run.
• Indexes and groups log streams using the same labels you’re already using with Prometheus, enabling you to seamlessly switch between metrics and logs using the same labels that you’re already using with Prometheus.
• Is an especially good fit for storing Kubernetes Pod logs. Metadata such as Pod labels is automatically scraped and indexed.
• Has native support in Grafana (needs Grafana v6.0).

Links:

• Repository
• Documentation

Nginx unprivileged

This repo contains a series of Dockerfiles to create an NGINX Docker image that runs NGINX as a non root, unprivileged user. Notable differences with respect to the official NGINX Docker image include:

• The default NGINX listen port is now 8080 instead of 80 (this is no longer necessary as of Docker 20.03 but it's still required in other container runtimes).
• The default NGINX user directive in /etc/nginx/nginx.conf has been removed.
• The default NGINX PID has been moved from /var/run/nginx.pid to /tmp/nginx.pid.
• Change _temp_path variables to /tmp/.