func (config *TierConfigMgr) getDriver(ctx context.Context, tierName string) (d WarmBackend, err error) {
	config.Lock()
	defer config.Unlock()

	var ok bool
	// Lookup in-memory drivercache
	d, ok = config.drivercache[tierName]
	if ok {
		return d, nil
	}

	// Initialize driver from tier config matching tierName
	t, ok := config.Tiers[tierName]

    public abstract RegularFileProperty getReportFile();

    @TaskAction
    public void checkDeadLinks() {
        Map<File, List<Error>> errors = new TreeMap<>();

        getDocumentationRoot().getAsFileTree().matching(pattern -> pattern.include("**/*.adoc")).forEach(file -> {
            gatherDeadLinksInFile(file, errors);
        });
        reportErrors(errors, getReportFile().get().getAsFile());
    }

			fpath = path.Join(bucket, obj.Key)
			if versions {
				fpath += ":" + obj.VersionID
			}
			return
		}

		// List all objects from a bucket-name with a matching prefix.
		for object := range s3Client.ListObjects(context.Background(), bucket, opts) {
			if object.Err != nil {
				log.Println("FAILED: LIST with error:", object.Err)
				continue
			}

    on his policy is granted more privileges than restricted
    by the users IAM policy.

    This is due to an issue of prefix based Matcher() function
    which was incorrectly matching prefix based on resource
    prefixes instead of exact match.
```

 *         .maxStale(365, TimeUnit.DAYS)
 *         .build())
 *     .url("http://publicobject.com/helloworld.txt")
 *     .build();
 * ```
 *
 * The [CacheControl] class can configure request caching directives and parse response caching
 * directives. It even offers convenient constants [CacheControl.FORCE_NETWORK] and
 * [CacheControl.FORCE_CACHE] that address the use cases above.
 *
 * [rfc_7234]: http://tools.ietf.org/html/rfc7234

- Kube-proxy uses  field-selector clusterIP!=None on Services to avoid watching for Headless Services, reduce  unnecessary network bandwidth ([#126769](https://github.com/kubernetes/kubernetes/pull/126769), [@Sakuralbj](https://github.com/Sakuralbj)) [SIG Network]

import org.gradle.buildinit.plugins.internal.modifiers.ModularizationOption
import org.gradle.work.DisableCachingByDefault
import javax.inject.Inject


@DisableCachingByDefault(because = "Not worth caching")
abstract class GenerateSample : DefaultTask() {

    @get:Input
    abstract val type: Property<String>

    @get:Input
    abstract val modularization: Property<ModularizationOption>

    "linux" : 804,
    "windows" : 935,
    "macOs" : 544
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.android.AndroidIncrementalExecutionPerformanceTest.abi change with configuration caching",
  "durations" : [ {
    "testProject" : "nowInAndroidBuild",
    "linux" : 286,
    "windows" : 427,
    "macOs" : 248
  }, {
    "testProject" : "santaTrackerAndroidBuild",
    "linux" : 649,

                .findFirst()
                .orElseThrow(() -> new MavenExecutionException(
                        "Could not find a project in reactor matching the request POM", request.getPom()));

        List<MavenProject> modules = requestPomProject.getCollectedProjects() != null
                ? requestPomProject.getCollectedProjects()

# ADR-0002 - Avoid using Java serialization

## Date

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.