mirror of https://github.com/dapr/docs.git
Merge branch 'v1.1' into aacrawfi/mtls
This commit is contained in:
Aaron Crawfis
GitHub
commit
5d1357c11c
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@ -480,7 +480,7 @@ dapr --app-id app2 run -- php app2.php
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Dapr automatically takes the data sent on the publish request and wraps it in a CloudEvent 1.0 envelope.
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If you want to use your own custom CloudEvent, make sure to specify the content type as `application/cloudevents+json`.
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See info about content types [here](#Content-Types).
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Read about content types [here](#content-types), and about the [Cloud Events message format]({{< ref "pubsub-overview.md#cloud-events-message-format" >}}).
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## Next steps
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@ -53,7 +53,7 @@ dapr --version
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Output should look like this:
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```
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CLI version: 1.1.0
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Runtime version: 1.1.1
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Runtime version: 1.1.2
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```
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### Step 4: Verify containers are running
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@ -96,7 +96,7 @@ bin components config.yaml
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{{% /codetab %}}
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{{% codetab %}}
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Open `%USERPROFILE%\.dapr\` in file explorer:
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Using Command Prompt (not PowerShell), open `%USERPROFILE%\.dapr\` in file explorer:
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```powershell
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explorer "%USERPROFILE%\.dapr\"
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@ -122,7 +122,7 @@ The latest Dapr helm chart no longer supports Helm v2. Please migrate from Helm
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```bash
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helm upgrade --install dapr dapr/dapr \
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--version=1.1.1 \
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--version=1.1.2 \
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--namespace dapr-system \
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--create-namespace \
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--wait
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@ -132,7 +132,7 @@ The latest Dapr helm chart no longer supports Helm v2. Please migrate from Helm
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```bash
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helm upgrade --install dapr dapr/dapr \
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--version=1.1.1 \
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--version=1.1.2 \
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--namespace dapr-system \
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--create-namespace \
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--set global.ha.enabled=true \
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@ -59,7 +59,9 @@ The CPU and memory limits above account for the fact that Dapr is intended to a
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## Highly-available mode
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When deploying Dapr in a production-ready configuration, it's recommended to deploy with a highly available configuration of the control plane, which creates 3 replicas of each control plane pod in the dapr-system namespace.
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When deploying Dapr in a production-ready configuration, it's recommended to deploy with a highly available (HA) configuration of the control plane, which creates 3 replicas of each control plane pod in the dapr-system namespace. This configuration allows for the Dapr control plane to survive node failures and other outages.
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HA mode can be enabled with both the [Dapr CLI]({{< ref "kubernetes-deploy.md#install-in-highly-available-mode" >}} and with [Helm charts]({{< ref "kubernetes-deploy.md#add-and-install-dapr-helm-chart" >}}).
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## Deploying Dapr with Helm
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@ -11,15 +11,15 @@ description: "Follow these steps to upgrade Dapr on Kubernetes and ensure a smoo
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- [Dapr CLI]({{< ref install-dapr-cli.md >}})
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- [Helm 3](https://github.com/helm/helm/releases) (if using Helm)
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## Upgrade existing cluster to 1.1.1
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## Upgrade existing cluster to 1.1.2
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There are two ways to upgrade the Dapr control plane on a Kubernetes cluster using either the Dapr CLI or Helm.
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### Dapr CLI
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The example below shows how to upgrade to version 1.1.1:
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The example below shows how to upgrade to version 1.1.2:
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```bash
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dapr upgrade -k --runtime-version=1.1.1
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dapr upgrade -k --runtime-version=1.1.2
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```
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{{% alert title="Note" color="warning" %}}
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@ -53,7 +53,7 @@ To resolve this issue please run the follow command to upgrade the CustomResourc
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kubectl replace -f https://raw.githubusercontent.com/dapr/dapr/5a15b3e0f093d2d0938b12f144c7047474a290fe/charts/dapr/crds/configuration.yaml
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```
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Then proceed with the `dapr upgrade --runtime-version 1.1.1 -k` command as above.
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Then proceed with the `dapr upgrade --runtime-version 1.1.2 -k` command as above.
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### Helm
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@ -25,11 +25,11 @@ description: "Follow these steps to upgrade Dapr in self-hosted mode and ensure
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dapr init
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```
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1. Ensure you are using the latest version of Dapr (v1.1.1) with:
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1. Ensure you are using the latest version of Dapr (v1.1.2) with:
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```bash
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$ dapr --version
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CLI version: 1.1.0
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Runtime version: 1.1.1
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Runtime version: 1.1.2
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```
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@ -35,6 +35,7 @@ The table below shows the versions of Dapr releases that have been tested togeth
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| Mar 4th 2021 | 1.0.1</br>| 1.0.1 | Java 1.0.2 </br>Go 1.0.0 </br>PHP 1.0.0 </br>Python 1.0.0 </br>.NET 1.0.0 | 0.6.0 | Supported |
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| Apr 1st 2021 | 1.1.0</br> | 1.1.0 | Java 1.0.2 </br>Go 1.1.0 </br>PHP 1.0.0 </br>Python 1.1.0 </br>.NET 1.1.0 | 0.6.0 | Supported |
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| Apr 6th 2021 | 1.1.1</br> | 1.1.0 | Java 1.0.2 </br>Go 1.1.0 </br>PHP 1.0.0 </br>Python 1.1.0 </br>.NET 1.1.0 | 0.6.0 | Supported (current) |
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| Apr 16th 2021 | 1.1.2</br> | 1.1.0 | Java 1.0.2 </br>Go 1.1.0 </br>PHP 1.0.0 </br>Python 1.1.0 </br>.NET 1.1.0 | 0.6.0 | Supported (current) |
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## Upgrade paths
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After the 1.0 release of the runtime there may be situations where it is necessary to explicitly upgrade through an additional release to reach the desired target. For example an upgrade from v1.0 to v1.2 may need go pass through v1.1
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@ -46,10 +47,10 @@ General guidance on upgrading can be found for [self hosted mode]({{<ref self-ho
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| Current Runtime version | Must upgrade through | Target Runtime version |
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|--------------------------|-----------------------|------------------------- |
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| 0.11 | N/A | 1.0.1 |
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| | 1.0.1 | 1.1.1 |
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| | 1.0.1 | 1.1.2 |
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| 1.0-rc1 to 1.0-rc4 | N/A | 1.0.1 |
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| 1.0.0 or 1.0.1 | N/A | 1.1.1 |
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| 1.1.0 | N/A | 1.1.1 |
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| 1.0.0 or 1.0.1 | N/A | 1.1.2 |
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| 1.1.0 or 1.1.1 | N/A | 1.1.2 |
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## Feature and deprecations
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There is a process for announcing feature deprecations. Deprecations are applied two (2) releases after the release in which they were announced. For example Feature X is announced to be deprecated in the 1.0.0 release notes and will then be removed in 1.2.0.
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@ -36,12 +36,12 @@ dapr upgrade -k
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### Upgrade specified version of Dapr runtime in Kubernetes
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```bash
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dapr upgrade -k --runtime-version 1.1.1
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dapr upgrade -k --runtime-version 1.1.2
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```
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### Upgrade specified version of Dapr runtime in Kubernetes with value set
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```bash
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dapr upgrade -k --runtime-version 1.1.1 --set global.logAsJson=true
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dapr upgrade -k --runtime-version 1.1.2 --set global.logAsJson=true
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```
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# Related links
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@ -77,7 +77,7 @@ To run without Docker, see the getting started guide [here](https://kafka.apache
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{{% /codetab %}}
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{{% codetab %}}
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To run Kafka on Kubernetes, you can use the [Helm Chart](https://github.com/helm/charts/tree/master/incubator/kafka#installing-the-chart).
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To run Kafka on Kubernetes, you can use any Kafka operator, such as [Strimzi](https://strimzi.io/docs/operators/latest/quickstart.html#ref-install-prerequisites-str).
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{{% /codetab %}}
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{{< /tabs >}}
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