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docs/en/docs/deployment/docker.md
And the **container** itself (in contrast to the **container image**) is the actual running instance of the image, comparable to a **process**. In fact, a container is running only when it has a **process running** (and normally it's only a single process). The container stops when there's no process running in it. ## Container Images
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docs/en/docs/deployment/server-workers.md
Let's check back those deployment concepts from before: * Security - HTTPS * Running on startup * Restarts * **Replication (the number of processes running)** * Memory * Previous steps before starting Up to this point, with all the tutorials in the docs, you have probably been running a **server program** like Uvicorn, running a **single process**.
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okhttp/src/main/kotlin/okhttp3/Dispatcher.kt
} /** Ready async calls in the order they'll be run. */ private val readyAsyncCalls = ArrayDeque<AsyncCall>() /** Running asynchronous calls. Includes canceled calls that haven't finished yet. */ private val runningAsyncCalls = ArrayDeque<AsyncCall>() /** Running synchronous calls. Includes canceled calls that haven't finished yet. */ private val runningSyncCalls = ArrayDeque<RealCall>()
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docs/en/docs/deployment/concepts.md
* The process can be **terminated** (or "killed") by you, or by the operating system. At that point, it stops running/being executed, and it can **no longer do things**. * Each application that you have running on your computer has some process behind it, each running program, each window, etc. And there are normally many processes running **at the same time** while a computer is on.
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okhttp/src/test/java/okhttp3/internal/connection/ConnectionPoolTest.kt
val c1 = factory.newConnection(pool, routeA1, 50L) // Running at time 50, the pool returns that nothing can be evicted until time 150. assertThat(pool.closeConnections(50L)).isEqualTo(100L) assertThat(pool.connectionCount()).isEqualTo(1) assertThat(c1.socket().isClosed).isFalse() // Running at time 60, the pool returns that nothing can be evicted until time 150.
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Makefile
@echo "Running unit tests" @MINIO_API_REQUESTS_MAX=10000 CGO_ENABLED=0 go test -v -tags kqueue ./... test-root-disable: install-race @echo "Running minio root lockdown tests" @env bash $(PWD)/buildscripts/disable-root.sh test-ilm: install-race @echo "Running ILM tests" @env bash $(PWD)/docs/bucket/replication/setup_ilm_expiry_replication.sh test-decom: install-race @echo "Running minio decom tests"
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cmd/admin-handlers.go
// token will receive heal status records from the running heal // sequence. // // If no client token is provided, and a heal sequence is in progress // an error is returned with information about the running heal // sequence. However, if the force-start flag is provided, the server // aborts the running heal sequence and starts a new one.
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.github/workflows/ci.yml
- master pull_request: branches: - master permissions: contents: read jobs: test: permissions: actions: write # for styfle/cancel-workflow-action to cancel/stop running workflows contents: read # for actions/checkout to fetch code name: "${{ matrix.root-pom }} on JDK ${{ matrix.java }} on ${{ matrix.os }}" strategy: matrix: os: [ ubuntu-latest ]
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android/guava/src/com/google/common/util/concurrent/MoreExecutors.java
* * <p>If a task is {@linkplain Thread#interrupt interrupted} while a task is running: * * <ol> * <li>execution will not stop until the task queue is empty. * <li>tasks will begin execution with the thread marked as not interrupted - any interruption * applies only to the task that was running at the point of interruption.
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Wed Apr 17 16:33:44 GMT 2024 - 41.8K bytes - Viewed (0) -
istioctl/pkg/metrics/metrics.go
cmd := &cobra.Command{ Use: "metrics <workload name>...", Short: "Prints the metrics for the specified workload(s) when running in Kubernetes.", Long: ` Prints the metrics for the specified service(s) when running in Kubernetes. This command finds a Prometheus pod running in the specified istio system namespace. It then executes a series of queries per requested workload to
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