}

    /**
     * Copy packaged and attached artifacts from this project to the
     * project local repository.
     * This allows a subsequent build to resume while still being able
     * to locate attached artifacts.
     *
     * @param project the project to copy artifacts from
     */
    private void installIntoProjectLocalRepository(MavenProject project) {

     */
    @Nonnull
    <T extends Service> T getService(@Nonnull Class<T> clazz);

    /**
     * Creates a derived session using the given local repository.
     *
     * @param localRepository the new local repository
     * @return the derived session
     * @throws NullPointerException if {@code localRepository} is null
     */
    @Nonnull

func (lc *Lifecycle) UnmarshalXML(d *xml.Decoder, start xml.StartElement) (err error) {
	switch start.Name.Local {
	case "LifecycleConfiguration", "BucketLifecycleConfiguration":
	default:
		return xml.UnmarshalError(fmt.Sprintf("expected element type <LifecycleConfiguration>/<BucketLifecycleConfiguration> but have <%s>",
			start.Name.Local))
	}
	for {
		// Read tokens from the XML document in a stream.
		t, err := d.Token()

Then, in that case, it could be simpler to have **one container** with **multiple processes**, and a local tool (e.g. a Prometheus exporter) on the same container collecting Prometheus metrics for all the internal processes and exposing those metrics on that single container.

---

	Replication replicationConfig `msg:"-"`

	// StopDiskAtLimit will stop listing on each disk when limit number off objects has been returned.
	StopDiskAtLimit bool

	// pool and set of where the cache is located.
	pool, set int
}

func init() {
	gob.Register(listPathOptions{})
}

func (o *listPathOptions) setBucketMeta(ctx context.Context) {
	lc, _ := globalLifecycleSys.Get(o.Bucket)