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new baeef18 fix typo in scaling docs (#677)
baeef18 is described below
commit baeef18c4f1bb277e5ea92819141191ebca80a76
Author: David Grove <[email protected]>
AuthorDate: Fri Mar 5 09:31:03 2021 -0500
fix typo in scaling docs (#677)
---
README.md | 2 +-
docs/k8s-custom-build-cluster-scaleup.md | 2 +-
2 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
index 3ac083b..1fa5d2f 100644
--- a/README.md
+++ b/README.md
@@ -334,7 +334,7 @@ If your deployment is not working, check our
Using defaults, your deployment is configured to provide a bare-minimum
working platform for testing and exploration. For your specialized workloads,
you can scale-up your openwhisk deployment by defining your deployment
configurations in your `mycluster.yaml` which overrides the defaults in
`helm/openwhisk/values.yaml`. Some important parameters to consider (for other
parameters, check `helm/openwhisk/values.yaml` and
[configurationChoices](./docs/configurationChoices.md)):
* `actionsInvokesPerminute`: limits the maximum number of invocations per
minute.
-* `actionsInvokesPerminute`: limits the maximum concurrent invocations.
+* `actionsInvokesConcurrent`: limits the maximum concurrent invocations.
* `containerPool`: total memory available per `invoker` instance. `Invoker`
uses this memory to create containers for user-actions. The concurrency-limit
(actions running in parallel) will depend upon the total memory configured for
`containerPool` and memory allocated per action (`default:` 256mb per
container).
For more information about increasing concurrency-limit, check [scaling-up
your deployment](./docs/k8s-custom-build-cluster-scaleup.md).
diff --git a/docs/k8s-custom-build-cluster-scaleup.md
b/docs/k8s-custom-build-cluster-scaleup.md
index e290371..3632794 100644
--- a/docs/k8s-custom-build-cluster-scaleup.md
+++ b/docs/k8s-custom-build-cluster-scaleup.md
@@ -29,7 +29,7 @@ The default configurations of openwhisk deployment, support
low concurrency-limi
By default, openwhisk deployment is configured to provide a bare-minimum
working platform for testing and exploration. For your specialized workloads,
you can scale-up your openwhisk deployment by defining your deployment
configurations in your `mycluster.yaml` which overrides the defaults in
`helm/openwhisk/values.yaml`. Some important parameters to consider (for other
parameters, check `helm/openwhisk/values.yaml` and
[configurationChoices](./docs/configurationChoices.md)):
* `actionsInvokesPerminute`: limits the maximum number of invocations per
minute.
-* `actionsInvokesPerminute`: limits the maximum concurrent invocations.
+* `actionsInvokesConcurrent`: limits the maximum concurrent invocations.
* `containerPool.userMemory`: total memory available per `invoker` instance.
`Invoker` uses this memory to create containers for user-actions. The
concurrency-limit (actions running in parallel) will depend upon the total
memory configured for `containerPool` and memory allocated per action
(`default:` 256mb per container).
* `triggersFiresPerminute`: limits the maximum triggers invoked per minute.