fd900d0723
* client/fingerprint: correctly fingerprint E/P cores of Apple Silicon chips This PR adds detection of asymetric core types (Power & Efficiency) (P/E) when running on M1/M2 Apple Silicon CPUs. This functionality is provided by shoenig/go-m1cpu which makes use of the Apple IOKit framework to read undocumented registers containing CPU performance data. Currently working on getting that functionality merged upstream into gopsutil, but gopsutil would still not support detecting P vs E cores like this PR does. Also refactors the CPUFingerprinter code to handle the mixed core types, now setting power vs efficiency cpu attributes. For now the scheduler is still unaware of mixed core types - on Apple platforms tasks cannot reserve cores anyway so it doesn't matter, but at least now the total CPU shares available will be correct. Future work should include adding support for detecting P/E cores on the latest and upcoming Intel chips, where computation of total cpu shares is currently incorrect. For that, we should also include updating the scheduler to be core-type aware, so that tasks of resources.cores on Linux platforms can be assigned the correct number of CPU shares for the core type(s) they have been assigned. node attributes before cpu.arch = arm64 cpu.modelname = Apple M2 Pro cpu.numcores = 12 cpu.reservablecores = 0 cpu.totalcompute = 1000 node attributes after cpu.arch = arm64 cpu.frequency.efficiency = 2424 cpu.frequency.power = 3504 cpu.modelname = Apple M2 Pro cpu.numcores.efficiency = 4 cpu.numcores.power = 8 cpu.reservablecores = 0 cpu.totalcompute = 37728 * fingerprint/cpu: follow up cr items
Nomad
Nomad is a simple and flexible workload orchestrator to deploy and manage containers (docker, podman), non-containerized applications (executable, Java), and virtual machines (qemu) across on-prem and clouds at scale.
Nomad is supported on Linux, Windows, and macOS. A commercial version of Nomad, Nomad Enterprise, is also available.
- Website: https://nomadproject.io
- Tutorials: HashiCorp Learn
- Forum: Discuss
Nomad provides several key features:
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Deploy Containers and Legacy Applications: Nomad’s flexibility as an orchestrator enables an organization to run containers, legacy, and batch applications together on the same infrastructure. Nomad brings core orchestration benefits to legacy applications without needing to containerize via pluggable task drivers.
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Simple & Reliable: Nomad runs as a single binary and is entirely self contained - combining resource management and scheduling into a single system. Nomad does not require any external services for storage or coordination. Nomad automatically handles application, node, and driver failures. Nomad is distributed and resilient, using leader election and state replication to provide high availability in the event of failures.
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Device Plugins & GPU Support: Nomad offers built-in support for GPU workloads such as machine learning (ML) and artificial intelligence (AI). Nomad uses device plugins to automatically detect and utilize resources from hardware devices such as GPU, FPGAs, and TPUs.
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Federation for Multi-Region, Multi-Cloud: Nomad was designed to support infrastructure at a global scale. Nomad supports federation out-of-the-box and can deploy applications across multiple regions and clouds.
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Proven Scalability: Nomad is optimistically concurrent, which increases throughput and reduces latency for workloads. Nomad has been proven to scale to clusters of 10K+ nodes in real-world production environments.
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HashiCorp Ecosystem: Nomad integrates seamlessly with Terraform, Consul, Vault for provisioning, service discovery, and secrets management.
Quick Start
Testing
See Learn: Getting Started for instructions on setting up a local Nomad cluster for non-production use.
Optionally, find Terraform manifests for bringing up a development Nomad cluster on a public cloud in the terraform directory.
Production
See Learn: Nomad Reference Architecture for recommended practices and a reference architecture for production deployments.
Documentation
Full, comprehensive documentation is available on the Nomad website: https://www.nomadproject.io/docs
Guides are available on HashiCorp Learn.
Contributing
See the contributing directory for more developer documentation.