Seth Hoenig ee7d32fb98 consul/connect: fix bug causing high cpu with multiple connect sidecars in group
This PR fixes a bug where the underlying Envoy process of a Connect gateway
would consume a full core of CPU if there is more than one sidecar or gateway
in a group. The utilization was being caused by Consul injecting an envoy_ready_listener
on 127.0.0.1:8443, of which only one of the Envoys would be able to bind to.
The others would spin in a hot loop trying to bind the listener.

As a workaround, we now specify -address during the Envoy bootstrap config
step, which is how Consul maps this ready listener. Because there is already
the envoy_admin_listener, and we need to continue supporting running gateways
in host networking mode, and in those case we want to use the same port
value coming from the service.port field, we now bind the admin listener to
the 127.0.0.2 loop-back interface, and the ready listener takes 127.0.0.1.

This shouldn't make a difference in the 99.999% use case where envoy is
being run in its official docker container. Advanced users can reference
${NOMAD_ENVOY_ADMIN_ADDR_<service>} (as they 'ought to) if needed,
as well as the new variable ${NOMAD_ENVOY_READY_ADDR_<service>} for the
envoy_ready_listener.
2021-07-09 14:34:44 -05:00
2021-05-03 09:27:26 -06:00
2018-03-11 18:40:53 +00:00
2021-04-06 09:42:44 -06:00
2021-06-22 10:41:44 -04:00
2018-02-14 14:47:43 -08:00
2021-04-27 15:07:03 -07:00
2017-02-09 11:22:17 -08:00
2021-06-21 10:19:39 -04:00
2021-06-21 10:19:39 -04:00
2015-06-01 12:21:00 +02:00
2015-06-01 13:46:21 +02:00
2020-11-17 07:01:48 -08:00

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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.

Nomad provides several key features:

  • Deploy Containers and Legacy Applications: Nomads 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

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