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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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.github/workflows/arm-ci-extended.yml
steps: - name: Stop old running containers (if any) shell: bash run: | running_containers=$(docker ps -q) && \ if [[ $running_containers == "" ]]; then echo "No running containers"; else echo "Running container(s) found" && \ docker stop $running_containers; fi docker container prune -f
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.github/workflows/arm-ci.yml
pyver: ['3.10'] steps: - name: Stop old running containers (if any) shell: bash run: | running_containers=$(docker ps -q) && \ if [[ $running_containers == "" ]]; then echo "No running containers"; else echo "Running container(s) found" && \ docker stop $running_containers; fi docker container prune -f
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common-protos/k8s.io/api/node/v1beta1/generated.proto
// Package-wide variables from generator "generated". option go_package = "k8s.io/api/node/v1beta1"; // Overhead structure represents the resource overhead associated with running a pod. message Overhead { // podFixed represents the fixed resource overhead associated with running a pod. // +optional map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> podFixed = 1; }
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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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src/main/java/org/codelibs/fess/helper/DataIndexHelper.java
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common-protos/k8s.io/api/node/v1/generated.proto
// Package-wide variables from generator "generated". option go_package = "k8s.io/api/node/v1"; // Overhead structure represents the resource overhead associated with running a pod. message Overhead { // podFixed represents the fixed resource overhead associated with running a pod. // +optional map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> podFixed = 1; }
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common-protos/k8s.io/api/node/v1alpha1/generated.proto
// Package-wide variables from generator "generated". option go_package = "k8s.io/api/node/v1alpha1"; // Overhead structure represents the resource overhead associated with running a pod. message Overhead { // podFixed represents the fixed resource overhead associated with running a pod. // +optional map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> podFixed = 1; }
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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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