## Build state model

As Gradle executes, it acts on various pieces of the build definition, such as each project in the build.
Gradle tracks the state of each piece and transitions each piece through its lifecycle as the build runs.

A central part of the Gradle architecture is the "build state model", which holds the state for each piece and coordinates state transitions and other mutations. 

        - Pods have annotation `sidecar.istio.io/inject` set to `false` or has no key `sidecar.istio.io/status` in annotations
        - Pod has `istio-init` initContainer - this indicates a pod running its own injection setup.
1. Return prevResult

## Troubleshooting

### Collecting Logs

#### Using `istioctl`/helm

- Set: `values.global.logging.level="cni:debug,ambient:debug"`

[users-list]: https://maven.apache.org/mailing-lists.html
[dev-ml-list]: https://www.mail-archive.com/******@****.***/
[code-style]: http://maven.apache.org/developers/conventions/code.html
[core-it]: https://maven.apache.org/core-its/core-it-suite/
[building-maven]: https://maven.apache.org/guides/development/guide-building-maven.html

    find the Android Guava source in the [`android` directory].

[`android` directory]: https://github.com/google/guava/tree/master/android

## Adding Guava to your build

Guava's Maven group ID is `com.google.guava`, and its artifact ID is `guava`.
Guava provides two different "flavors": one for use on a (Java 8+) JRE and one
for use on Android or by any library that wants to be compatible with Android.

# Guava Testlib: Google Testing Libraries for Java

Guava testlib is a set of Java classes for more convenient
unit testing.

## Adding Guava Testlib to your build

Guava testlib's Maven group ID is `com.google.guava` and its artifact ID is `guava-testlib`.

To add a dependency on Guava testlib using Maven, use the following:

```xml
<dependency>
  <groupId>com.google.guava</groupId>
  <artifactId>guava-testlib</artifactId>

Compression happens inflight, i.e objects are compressed before being written to disk(s).
MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2)
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.