Each process, or "runtime", applies different constraints to the code that runs in that process.
For example, each process has different supported JVMs and a different set of services available for dependency injection.
While a lot of Gradle source code runs only in the Gradle daemon, not all of it does and so, when working on some source code it is important to be aware of the runtimes in which it will run.

- Grafana installed as explained [here](https://grafana.com/grafana/download).

## MinIO Grafana Dashboard

Visualize MinIO metrics with our official Grafana dashboard available on the [Grafana dashboard portal](https://grafana.com/grafana/dashboards/13502).

Refer to the dashboard [json file here](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/minio-dashboard.json).

```sh
tar xvfz prometheus-*.tar.gz
cd prometheus-*
```

Prometheus server is a single binary called `prometheus` (or `prometheus.exe` on Microsoft Windows). Run the binary and pass `--help` flag to see available options

```sh
./prometheus --help
usage: prometheus [<flags>]

The Prometheus monitoring server

. . .
```

## Snapshots and Documentation

Snapshots of Guava built from the `master` branch are available through Maven
using version `HEAD-jre-SNAPSHOT`, or `HEAD-android-SNAPSHOT` for the Android
flavor.

-   Snapshot API Docs: [guava][guava-snapshot-api-docs]
-   Snapshot API Diffs: [guava][guava-snapshot-api-diffs]

streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.