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-rw-r--r--doc/user/project/clusters/serverless/aws.md38
-rw-r--r--doc/user/project/clusters/serverless/index.md71
2 files changed, 54 insertions, 55 deletions
diff --git a/doc/user/project/clusters/serverless/aws.md b/doc/user/project/clusters/serverless/aws.md
index 0de0fd38336..a52d3400aa2 100644
--- a/doc/user/project/clusters/serverless/aws.md
+++ b/doc/user/project/clusters/serverless/aws.md
@@ -1,7 +1,7 @@
---
stage: Configure
group: Configure
-info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#designated-technical-writers
+info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
---
# Deploying AWS Lambda function using GitLab CI/CD
@@ -29,7 +29,7 @@ Alternatively, you can quickly [create a new project with a template](../../../.
### Example
-In the following example, you will:
+This example shows you how to:
1. Create a basic AWS Lambda Node.js function.
1. Link the function to an API Gateway `GET` endpoint.
@@ -49,7 +49,7 @@ Lets take it step by step.
#### Creating a Lambda handler function
-Your Lambda function will be the primary handler of requests. In this case we will create a very simple Node.js `hello` function:
+Your Lambda function is the primary handler of requests. In this case, create a very simple Node.js `hello` function:
```javascript
'use strict';
@@ -72,13 +72,13 @@ Place this code in the file `src/handler.js`.
`src` is the standard location for serverless functions, but is customizable should you desire that.
-In our case, `module.exports.hello` defines the `hello` handler that will be referenced later in the `serverless.yml`
+In our case, `module.exports.hello` defines the `hello` handler to reference later in the `serverless.yml`.
You can learn more about the AWS Lambda Node.js function handler and all its various options here: <https://docs.aws.amazon.com/lambda/latest/dg/nodejs-prog-model-handler.html>
#### Creating a `serverless.yml` file
-In the root of your project, create a `serverless.yml` file that will contain configuration specifics for the Serverless Framework.
+In the root of your project, create a `serverless.yml` file containing configuration specifics for the Serverless Framework.
Put the following code in the file:
@@ -97,9 +97,9 @@ functions:
Our function contains a handler and a event.
-The handler definition will provision the Lambda function using the source code located `src/handler.hello`.
+The handler definition provisions the Lambda function using the source code located `src/handler.hello`.
-The `events` declaration will create a AWS API Gateway `GET` endpoint to receive external requests and hand them over to the Lambda function via a service integration.
+The `events` declaration creates an AWS API Gateway `GET` endpoint to receive external requests and hand them over to the Lambda function via a service integration.
You can read more about the [available properties and additional configuration possibilities](https://www.serverless.com/framework/docs/providers/aws/guide/serverless.yml/) of the Serverless Framework.
@@ -141,10 +141,10 @@ For more information please see [Create a custom variable in the UI](../../../..
#### Deploying your function
-`git push` the changes to your GitLab repository and the GitLab build pipeline will automatically deploy your function.
+`git push` the changes to your GitLab repository and the GitLab build pipeline deploys your function.
-In your GitLab deploy stage log, there will be output containing your AWS Lambda endpoint URL.
-The log line will look similar to this:
+Your GitLab deploy stage log contains output containing your AWS Lambda endpoint URL,
+with log lines similar to this:
```plaintext
endpoints:
@@ -157,7 +157,7 @@ Running the following `curl` command should trigger your function.
Your URL should be the one retrieved from the GitLab deploy stage log:
```shell
-curl https://u768nzby1j.execute-api.us-east-1.amazonaws.com/production/hello
+curl "https://u768nzby1j.execute-api.us-east-1.amazonaws.com/production/hello"
```
That should output:
@@ -200,7 +200,7 @@ The `serverless-offline` plugin allows to run your code locally. To run your cod
Running the following `curl` command should trigger your function.
```shell
-curl http://localhost:3000/hello
+curl "http://localhost:3000/hello"
```
It should output:
@@ -227,9 +227,9 @@ provider:
```
From there, you can reference them in your functions as well.
-Remember to add `A_VARIABLE` to your GitLab CI/CD variables under **Settings > CI/CD > Variables**, and it will get picked up and deployed with your function.
+Remember to add `A_VARIABLE` to your GitLab CI/CD variables under **Settings > CI/CD > Variables** to be picked up and deployed with your function.
-NOTE: **Note:**
+NOTE:
Anyone with access to the AWS environment may be able to see the values of those
variables persisted in the lambda definition.
@@ -309,7 +309,7 @@ GitLab allows developers to build and deploy serverless applications using the c
### Example
-In the following example, you will:
+This example shows you how to:
- Install SAM CLI.
- Create a sample SAM application including a Lambda function and API Gateway.
@@ -414,8 +414,8 @@ Let’s examine the configuration file more closely:
### Deploying your application
-Push changes to your GitLab repository and the GitLab build pipeline will automatically
-deploy your application. If your:
+Push changes to your GitLab repository and the GitLab build pipeline
+deploys your application. If your:
- Build and deploy are successful, [test your deployed application](#testing-the-deployed-application).
- Build fails, look at the build log to see why the build failed. Some common reasons
@@ -444,7 +444,7 @@ To test the application you deployed, please go to the build log and follow the
1. Use curl to test the API. For example:
```shell
- curl https://py4rg7qtlg.execute-api.us-east-1.amazonaws.com/Prod/hello/
+ curl "https://py4rg7qtlg.execute-api.us-east-1.amazonaws.com/Prod/hello/"
```
Output should be:
@@ -496,7 +496,7 @@ listening on `localhost:3000`.
Call the `hello` API by running:
```shell
-curl http://127.0.0.1:3000/hello
+curl "http://127.0.0.1:3000/hello"
```
Output again should be:
diff --git a/doc/user/project/clusters/serverless/index.md b/doc/user/project/clusters/serverless/index.md
index 603c4bd73b1..fcbf85121b2 100644
--- a/doc/user/project/clusters/serverless/index.md
+++ b/doc/user/project/clusters/serverless/index.md
@@ -1,15 +1,15 @@
---
stage: Configure
group: Configure
-info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#designated-technical-writers
+info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
---
# Serverless
> Introduced in GitLab 11.5.
-CAUTION: **Caution:**
-Serverless is currently in [alpha](https://about.gitlab.com/handbook/product/#alpha).
+WARNING:
+Serverless is currently in [alpha](https://about.gitlab.com/handbook/product/gitlab-the-product/#alpha).
## Overview
@@ -39,9 +39,9 @@ With GitLab Serverless, you can deploy both functions-as-a-service (FaaS) and se
## Prerequisites
-To run Knative on GitLab, you will need:
+To run Knative on GitLab, you need:
-1. **Existing GitLab project:** You will need a GitLab project to associate all resources. The simplest way to get started:
+1. **Existing GitLab project:** You need a GitLab project to associate all resources. The simplest way to get started:
- If you are planning on [deploying functions](#deploying-functions),
clone the [functions example project](https://gitlab.com/knative-examples/functions) to get
started.
@@ -49,21 +49,21 @@ To run Knative on GitLab, you will need:
clone the sample [Knative Ruby App](https://gitlab.com/knative-examples/knative-ruby-app) to get
started.
1. **Kubernetes Cluster:** An RBAC-enabled Kubernetes cluster is required to deploy Knative.
- The simplest way to get started is to add a cluster using GitLab's [GKE integration](../add_remove_clusters.md).
+ The simplest way to get started is to add a cluster using the GitLab [GKE integration](../add_remove_clusters.md).
The set of minimum recommended cluster specifications to run Knative is 3 nodes, 6 vCPUs, and 22.50 GB memory.
-1. **GitLab Runner:** A runner is required to run the CI jobs that will deploy serverless
+1. **GitLab Runner:** A runner is required to run the CI jobs that deploy serverless
applications or functions onto your cluster. You can install GitLab Runner
onto the existing Kubernetes cluster. See [Installing Applications](../index.md#installing-applications) for more information.
-1. **Domain Name:** Knative will provide its own load balancer using Istio. It will provide an
- external IP address or hostname for all the applications served by Knative. You will be prompted to enter a
- wildcard domain where your applications will be served. Configure your DNS server to use the
+1. **Domain Name:** Knative provides its own load balancer using Istio, and an
+ external IP address or hostname for all the applications served by Knative. Enter a
+ wildcard domain to serve your applications. Configure your DNS server to use the
external IP address or hostname for that domain.
1. **`.gitlab-ci.yml`:** GitLab uses [Kaniko](https://github.com/GoogleContainerTools/kaniko)
to build the application. We also use [GitLab Knative tool](https://gitlab.com/gitlab-org/gitlabktl)
CLI to simplify the deployment of services and functions to Knative.
1. **`serverless.yml`** (for [functions only](#deploying-functions)): When using serverless to deploy functions, the `serverless.yml` file
- will contain the information for all the functions being hosted in the repository as well as a reference to the
- runtime being used.
+ contains the information for all the functions being hosted in the repository as well as a reference
+ to the runtime being used.
1. **`Dockerfile`** (for [applications only](#deploying-serverless-applications)): Knative requires a
`Dockerfile` in order to build your applications. It should be included at the root of your
project's repository and expose port `8080`. `Dockerfile` is not require if you plan to build serverless functions
@@ -73,7 +73,7 @@ To run Knative on GitLab, you will need:
1. **Logging** (optional): Configuring logging allows you to view and search request logs for your serverless function/application.
See [Configuring logging](#configuring-logging) for more information.
-## Installing Knative via GitLab's Kubernetes integration
+## Installing Knative via the GitLab Kubernetes integration
The minimum recommended cluster size to run Knative is 3-nodes, 6 vCPUs, and 22.50 GB
memory. **RBAC must be enabled.**
@@ -87,12 +87,12 @@ memory. **RBAC must be enabled.**
1. After the Knative installation has finished, you can wait for the IP address or hostname to be displayed in the
**Knative Endpoint** field or [retrieve the Istio Ingress Endpoint manually](../../../clusters/applications.md#determining-the-external-endpoint-manually).
- NOTE: **Note:**
+ NOTE:
Running `kubectl` commands on your cluster requires setting up access to the cluster first.
For clusters created on GKE, see [GKE Cluster Access](https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl),
for other platforms [Install kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/).
-1. The Ingress is now available at this address and will route incoming requests to the proper service based on the DNS
+1. The Ingress is now available at this address and routes incoming requests to the proper service based on the DNS
name in the request. To support this, a wildcard DNS record should be created for the desired domain name. For example,
if your Knative base domain is `knative.info` then you need to create an A record or CNAME record with domain `*.knative.info`
pointing the IP address or hostname of the Ingress.
@@ -107,7 +107,7 @@ on a given project, but not both. The current implementation makes use of a
> [Introduced](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/58941) in GitLab 12.0.
-The _invocations_ monitoring feature of GitLab serverless won't work when
+The _invocations_ monitoring feature of GitLab serverless is unavailable when
adding an existing installation of Knative.
It's also possible to use GitLab Serverless with an existing Kubernetes cluster
@@ -121,9 +121,9 @@ which already has Knative installed. You must do the following:
- For a non-GitLab managed cluster, ensure that the service account for the token
provided can manage resources in the `serving.knative.dev` API group.
- For a GitLab managed cluster, if you added the cluster in [GitLab 12.1 or later](https://gitlab.com/gitlab-org/gitlab-foss/-/merge_requests/30235),
- then GitLab will already have the required access and you can proceed to the next step.
+ then GitLab already has the required access and you can proceed to the next step.
- Otherwise, you need to manually grant GitLab's service account the ability to manage
+ Otherwise, you need to manually grant the GitLab service account the ability to manage
resources in the `serving.knative.dev` API group. Since every GitLab service account
has the `edit` cluster role, the simplest way to do this is with an
[aggregated ClusterRole](https://kubernetes.io/docs/reference/access-authn-authz/rbac/#aggregated-clusterroles)
@@ -234,12 +234,12 @@ Follow these steps to deploy a function using the Node.js runtime to your
Knative instance (you can skip these steps if you've cloned the example
project):
-1. Create a directory that will house the function. In this example we will
+1. Create a directory to house the function. In this example we will
create a directory called `echo` at the root of the project.
-1. Create the file that will contain the function code. In this example, our file is called `echo.js` and is located inside the `echo` directory. If your project is:
+1. Create the file to contain the function code. In this example, our file is called `echo.js` and is located inside the `echo` directory. If your project is:
- Public, continue to the next step.
- - Private, you will need to [create a GitLab deploy token](../../deploy_tokens/index.md#creating-a-deploy-token) with `gitlab-deploy-token` as the name and the `read_registry` scope.
+ - Private, you must [create a GitLab deploy token](../../deploy_tokens/index.md#creating-a-deploy-token) with `gitlab-deploy-token` as the name and the `read_registry` scope.
1. `.gitlab-ci.yml`: this defines a pipeline used to deploy your functions.
It must be included at the root of your repository:
@@ -304,7 +304,7 @@ Explanation of the fields used above:
| Parameter | Description |
|-----------|-------------|
-| `service` | Name for the Knative service which will serve the function. |
+| `service` | Name for the Knative service which serves the function. |
| `description` | A short description of the `service`. |
### `provider`
@@ -349,9 +349,9 @@ The optional `runtime` parameter can refer to one of the following runtime alias
| `openfaas/classic/ruby` | OpenFaaS |
After the `gitlab-ci.yml` template has been added and the `serverless.yml` file
-has been created, pushing a commit to your project will result in a CI pipeline
-being executed which will deploy each function as a Knative service. Once the
-deploy stage has finished, additional details for the function will appear
+has been created, pushing a commit to your project results in a CI pipeline
+being executed which deploys each function as a Knative service. After the
+deploy stage has finished, additional details for the function display
under **Operations > Serverless**.
![serverless page](img/serverless-page.png)
@@ -376,7 +376,7 @@ The sample function can now be triggered from any HTTP client using a simple `PO
--header "Content-Type: application/json" \
--request POST \
--data '{"GitLab":"FaaS"}' \
- http://functions-echo.functions-1.functions.example.com/
+ "http://functions-echo.functions-1.functions.example.com/"
```
1. Using a web-based tool (such as Postman or Restlet)
@@ -443,14 +443,13 @@ To run a function locally:
1. Invoke your function:
```shell
- curl http://localhost:8080
+ curl "http://localhost:8080"
```
## Deploying Serverless applications
> Introduced in GitLab 11.5.
-12345678901234567890123456789012345678901234567890123456789012345678901234567890
Serverless applications are an alternative to [serverless functions](#deploying-functions).
They're useful in scenarios where an existing runtime does not meet the needs of
an application, such as one written in a language that has no runtime available.
@@ -482,7 +481,7 @@ A `serverless.yml` file is not required when deploying serverless applications.
### Deploy the application with Knative
-With all the pieces in place, the next time a CI pipeline runs, the Knative application will be deployed. Navigate to
+With all the pieces in place, the next time a CI pipeline runs the Knative application deploys. Navigate to
**CI/CD > Pipelines** and click the most recent pipeline.
### Function details
@@ -498,13 +497,13 @@ rows to bring up the function details page.
![function_details](img/function-details-loaded.png)
-The pod count will give you the number of pods running the serverless function instances on a given cluster.
+The pod count gives you the number of pods running the serverless function instances on a given cluster.
For the Knative function invocations to appear,
[Prometheus must be installed](../index.md#installing-applications).
Once Prometheus is installed, a message may appear indicating that the metrics data _is
-loading or is not available at this time._ It will appear upon the first access of the
+loading or is not available at this time._ It appears upon the first access of the
page, but should go away after a few seconds. If the message does not disappear, then it
is possible that GitLab is unable to connect to the Prometheus instance running on the
cluster.
@@ -558,7 +557,7 @@ Or:
## Enabling TLS for Knative services
-By default, a GitLab serverless deployment will be served over `http`. To serve
+By default, a GitLab serverless deployment is served over `http`. To serve
over `https`, you must manually obtain and install TLS certificates.
12345678901234567890123456789012345678901234567890123456789012345678901234567890
@@ -647,7 +646,7 @@ or with other versions of Python.
```
1. Create certificate and private key files. Using the contents of the files
- returned by Certbot, we'll create two files in order to create the
+ returned by Certbot, create two files in order to create the
Kubernetes secret:
Run the following command to see the contents of `fullchain.pem`:
@@ -767,7 +766,7 @@ or with other versions of Python.
1. Create a Kubernetes secret to hold your TLS certificate, `cert.pem`, and
the private key `cert.pk`:
- NOTE: **Note:**
+ NOTE:
Running `kubectl` commands on your cluster requires setting up access to the cluster first.
For clusters created on GKE, see
[GKE Cluster Access](https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl).
@@ -828,8 +827,8 @@ or with other versions of Python.
```
After your changes are running on your Knative cluster, you can begin using the HTTPS protocol for secure access your deployed Knative services.
- In the event a mistake is made during this process and you need to update the cert, you will need to edit the gateway `knative-ingress-gateway`
- to switch back to `PASSTHROUGH` mode. Once corrections are made, edit the file again so the gateway will use the new certificates.
+ In the event a mistake is made during this process and you need to update the cert, you must edit the gateway `knative-ingress-gateway`
+ to switch back to `PASSTHROUGH` mode. Once corrections are made, edit the file again so the gateway uses the new certificates.
## Using an older version of `gitlabktl`