Comments (1)
PIPY was single thread, we need to leverage OS capabilities to run multiple PIPY instances with port reuse and let OS to distribute requests among those instances. Thus when it configures more than ONE core CPU resource for the ingress POD, more PIPY instances are started according to the CPU limits to gain better performance and throughput.
As of PIPY 0.90.0, it supports multi-threads natively, so it runs ONE pipy instance with multiple threads --threads=%d
. Two ingress pods doesn't resolve the problem if more cores are configured. If running two containers in one pod, it cannot listen on same port, making it more complicated for the PIPY scripts and config JSON.
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Related Issues (20)
- feat: enhance NamespacedIngress API HOT 1
- Ingress cannot configure multiple paths of same backend HOT 1
- fix: should return certificate correctly when there's no SNI provided in the request
- feat: validate the existence of configured secret of Ingress
- ci: build pipy-repo nonroot image HOT 1
- fix: logging is broken
- fix: validation issue of GlobalTrafficPolicy
- fix: fsm CLI
- refactor: migrate Ingress processing framework to be consistent with GatewayAPI
- feat: migrate FLB from branch release-v0.1
- feat: per-request load balancing
- feat: ingress supports gRPC routing
- feat: support canary release/deployment
- secret webhook prevents fsm-manager from restarting
- no enough service info to call FLB API when service is deleted
- feat: control plane cluster and managed clusters can be installed in different namespae
- annotations of service should take precedence over configuration from secret
- feat: rebuild codebase in case repo is restarted HOT 1
- build: bump pipy to 0.90.2-33
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