If we see fit, we can break these out to per-platform ones, or keep a hybrid approach to having global and platform-specific ADSs.

Our aim is to keep the process lightweight and approachable.

      <version>0.9-SNAPSHOT</version>
      <type>jar</type>
      <scope>compile</scope>
    </dependency>
    <dependency>
      <groupId>org.apache.maven</groupId>
      <artifactId>wagon-http-lightweight</artifactId>
      <version>0.9-SNAPSHOT</version>
      <type>jar</type>
      <scope>compile</scope>
    </dependency>
    <dependency>
      <groupId>maven</groupId>

plexus-container-default 1.0-alpha-8 org.codehaus.plexus plexus-utils 1.0.4 org.apache.maven.wagon wagon-provider-api 1.0-alpha-5 org.apache.maven.wagon wagon-ssh 1.0-alpha-5 org.apache.maven.wagon wagon-file 1.0-alpha-5 org.apache.maven.wagon wagon-http-lightweight 1.0-alpha-5 repo1 Maven Central Repository scp://repo1.maven.org/home/projects/maven/repository-staging/to-ibiblio/maven2 snapshots Maven Central Development Repository scp://repo1.maven.org/home/projects/maven/repository-staging/snapshots/maven2...

  - author: Mike Moritz
    author_link: https://medium.com/@mike.p.moritz
    link: https://medium.com/@mike.p.moritz/using-docker-compose-to-deploy-a-lightweight-python-rest-api-with-a-job-queue-37e6072a209b
    title: Using Docker Compose to deploy a lightweight Python REST API with a job queue
  - author: '@euri10'
    author_link: https://gitlab.com/euri10
    link: https://gitlab.com/euri10/fastapi_cheatsheet

        <artifactId>wagon-file</artifactId>
        <version>1.0-alpha-5</version>
      </dependency>
      <dependency>
        <groupId>org.apache.maven.wagon</groupId>
        <artifactId>wagon-http-lightweight</artifactId>
        <version>1.0-alpha-5</version>
      </dependency>
    </dependencies>
  </dependencyManagement>
  <distributionManagement>
    <repository>
      <id>repo1</id>

  * Explicitly opting into behavioral changes can be acceptable. For example, introducing Istio multi-cluster semantics.
* Ensure traffic between mesh workloads is securely encrypted with an Istio identity.
* Be lightweight enough to not limit adoption.
  * This puts a much tighter budget on CPU, memory, latency, and throughput requirements than traditional Istio sidecars.

Ztunnel was not designed to be a feature-rich data plane.

Containers (mainly Linux containers) are a very **lightweight** way to package applications including all their dependencies and necessary files while keeping them isolated from other containers (other applications or components) in the same system.

    **FastAPI** then takes that JSON Schema data and puts it in OpenAPI, apart from all the other things it does.

### <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a>

Starlette is a lightweight <abbr title="The new standard for building asynchronous Python web applications">ASGI</abbr> framework/toolkit, which is ideal for building high-performance asyncio services.

   * Executor#execute execute}, as in {@code ThreadPoolExecutor.CallerRunsPolicy}.
   *
   * <p>This executor is appropriate for tasks that are lightweight and not deeply chained.
   * Inappropriate {@code directExecutor} usage can cause problems, and these problems can be
   * difficult to reproduce because they depend on timing. For example:
   *
   * <ul>

  }

  /**
   * Returns the result of calling {@link Future#get()} uninterruptibly on a task known not to throw
   * a checked exception. This makes {@code Future} more suitable for lightweight, fast-running
   * tasks that, barring bugs in the code, will not fail. This gives it exception-handling behavior
   * similar to that of {@code ForkJoinTask.join}.
   *