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Results 1 - 10 of 87 for Memory (0.23 sec)
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okhttp/src/main/kotlin/okhttp3/ResponseBody.kt
* class to read a response that is larger than the entire memory allocated to the current process. * It can even stream a response larger than the total storage on the current device, which is a * common requirement for video streaming applications. * * Because this class does not buffer the full response in memory, the application may not
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src/packaging/common/systemd/fess.service
LimitNOFILE=${packaging.os.max.open.files} # Specifies the maximum number of bytes of memory that may be locked into RAM # Set to "infinity" if you use the 'bootstrap.mlockall: true' option # in fess.yml and 'MAX_LOCKED_MEMORY=unlimited' in ${packaging.env.file} #LimitMEMLOCK=infinity # Shutdown delay in seconds, before process is tried to be killed with KILL (if configured)
Plain Text - Registered: Mon May 06 08:04:11 GMT 2024 - Last Modified: Sun Jan 15 06:32:15 GMT 2023 - 1.1K bytes - Viewed (0) -
docs/en/docs/deployment/concepts.md
### Memory per Process Now, when the program loads things in memory, for example, a machine learning model in a variable, or the contents of a large file in a variable, all that **consumes a bit of the memory (RAM)** of the server.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu May 02 22:37:31 GMT 2024 - 18K bytes - Viewed (0) -
docs/metrics/v3.md
| `minio_system_memory_total` | `gauge` | Total memory on the node | `server` | | `minio_system_memory_buffers` | `gauge` | Buffers memory on the node | `server` | | `minio_system_memory_cache` | `gauge` | Cache memory on the node | `server` | | `minio_system_memory_shared` | `gauge` | Shared memory on the node | `server` |
Plain Text - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Thu May 02 17:37:57 GMT 2024 - 28.5K bytes - Viewed (0) -
docs/metrics/prometheus/list.md
| `minio_node_mem_buffers_avg` | Buffers memory on the node (avg). | | `minio_node_mem_buffers_max` | Buffers memory on the node (max). | | `minio_node_mem_cache` | Cache memory on the node. | | `minio_node_mem_cache_avg` | Cache memory on the node (avg). | | `minio_node_mem_cache_max` | Cache memory on the node (max). |
Plain Text - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Thu Apr 25 22:01:31 GMT 2024 - 43.4K bytes - Viewed (2) -
docs/en/docs/deployment/docker.md
* Restarts * Replication (the number of processes running) * Memory * Previous steps before starting ## Memory If you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu May 02 22:37:31 GMT 2024 - 34K bytes - Viewed (0) -
docs/kms/IAM.md
- Reduced server startup time. For IAM encryption with the root credentials, MinIO had to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU. The new KMS-based approach can use a key derivation function that is orders of magnitudes cheaper w.r.t. memory and CPU. - Root credentials can now be changed easily. Before, a two-step process was required to
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common-protos/k8s.io/api/autoscaling/v2beta2/generated.proto
// ContainerResourceMetricSource indicates how to scale on a resource metric known to // Kubernetes, as specified in requests and limits, describing each pod in the // current scale target (e.g. CPU or memory). The values will be averaged // together before being compared to the target. Such metrics are built in to // Kubernetes, and have special scaling options on top of those available to
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common-protos/k8s.io/api/autoscaling/v2beta1/generated.proto
// ContainerResourceMetricSource indicates how to scale on a resource metric known to // Kubernetes, as specified in requests and limits, describing each pod in the // current scale target (e.g. CPU or memory). The values will be averaged // together before being compared to the target. Such metrics are built in to // Kubernetes, and have special scaling options on top of those available to
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common-protos/k8s.io/api/autoscaling/v2/generated.proto
// ContainerResourceMetricSource indicates how to scale on a resource metric known to // Kubernetes, as specified in requests and limits, describing each pod in the // current scale target (e.g. CPU or memory). The values will be averaged // together before being compared to the target. Such metrics are built in to // Kubernetes, and have special scaling options on top of those available to
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