debian-mirror-gitlab/doc/user/project/clusters/serverless/index.md

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# Serverless
> Introduced in GitLab 11.5.
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CAUTION: **Caution:**
Serverless is currently in [alpha](https://about.gitlab.com/handbook/product/#alpha).
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## Overview
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Serverless architectures offer Operators and Developers the ability write highly scalable applications without provisioning a single server.
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GitLab supports several ways deploy Serverless applications in both Kubernetes Environments and also major cloud FAAS environments.
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Currently we support:
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- [Knative](#knative): Build Knative applications with Knative and `gitlabktl` on GKE and EKS.
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- [AWS Lambda](aws.md): Create serverless applications via the Serverless Framework and GitLab CI.
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## Knative
Run serverless workloads on Kubernetes using [Knative](https://cloud.google.com/knative/).
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Knative extends Kubernetes to provide a set of middleware components that are useful to build
modern, source-centric, container-based applications. Knative brings some significant benefits out
of the box through its main components:
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- [Serving](https://github.com/knative/serving): Request-driven compute that can scale to zero.
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- [Eventing](https://github.com/knative/eventing): Management and delivery of events.
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For more information on Knative, visit the [Knative docs repo](https://github.com/knative/docs).
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With GitLab Serverless, you can deploy both functions-as-a-service (FaaS) and serverless applications.
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## Prerequisites
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To run Knative on GitLab, you will need:
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1. **Existing GitLab project:** You will need a GitLab project to associate all resources. The simplest way to get started:
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- If you are planning on [deploying functions](#deploying-functions),
clone the [functions example project](https://gitlab.com/knative-examples/functions) to get
started.
- If you are planning on [deploying a serverless application](#deploying-serverless-applications),
clone the sample [Knative Ruby App](https://gitlab.com/knative-examples/knative-ruby-app) to get
started.
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1. **Kubernetes Cluster:** An RBAC-enabled Kubernetes cluster is required to deploy Knative.
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The simplest way to get started is to add a cluster using [GitLab's GKE integration](../add_remove_clusters.md#gke-cluster).
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The set of minimum recommended cluster specifications to run Knative is 3 nodes, 6 vCPUs, and 22.50 GB memory.
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1. **Helm Tiller:** Helm is a package manager for Kubernetes and is required to install
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Knative.
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1. **GitLab Runner:** A runner is required to run the CI jobs that will deploy serverless
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applications or functions onto your cluster. You can install the GitLab Runner
onto the existing Kubernetes cluster. See [Installing Applications](../index.md#installing-applications) for more information.
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1. **Domain Name:** Knative will provide its own load balancer using Istio. It will provide an
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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
external IP address or hostname for that domain.
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1. **`.gitlab-ci.yml`:** GitLab uses [Kaniko](https://github.com/GoogleContainerTools/kaniko)
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to build the application. We also use [gitlabktl](https://gitlab.com/gitlab-org/gitlabktl)
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CLI to simplify the deployment of services and functions to Knative.
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1. **`serverless.yml`** (for [functions only](#deploying-functions)): When using serverless to deploy functions, the `serverless.yml` file
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will contain the information for all the functions being hosted in the repository as well as a reference to the
runtime being used.
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1. **`Dockerfile`** (for [applications only](#deploying-serverless-applications)): Knative requires a
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`Dockerfile` in order to build your applications. It should be included at the root of your
project's repo and expose port `8080`. `Dockerfile` is not require if you plan to build serverless functions
using our [runtimes](https://gitlab.com/gitlab-org/serverless/runtimes).
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1. **Prometheus** (optional): Installing Prometheus allows you to monitor the scale and traffic of your serverless function/application.
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See [Installing Applications](../index.md#installing-applications) for more information.
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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.
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## Installing Knative via GitLab's Kubernetes integration
NOTE: **Note:**
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The minimum recommended cluster size to run Knative is 3-nodes, 6 vCPUs, and 22.50 GB memory. **RBAC must be enabled.**
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1. [Add a Kubernetes cluster](../add_remove_clusters.md) and [install Helm](../index.md#installing-applications).
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1. Once Helm has been successfully installed, scroll down to the Knative app section. Enter the domain to be used with
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your application/functions (e.g. `example.com`) and click **Install**.
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![install-knative](img/install-knative.png)
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1. After the Knative installation has finished, you can wait for the IP address or hostname to be displayed in the
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**Knative Endpoint** field or [retrieve the Istio Ingress Endpoint manually](../../../clusters/applications.md#determining-the-external-endpoint-manually).
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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/).
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1. The Ingress is now available at this address and will route incoming requests to the proper service based on the DNS
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name in the request. To support this, a wildcard DNS record should be created for the desired domain name. For example,
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if your Knative base domain is `knative.info` then you need to create an A record or CNAME record with domain `*.knative.info`
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pointing the ip address or hostname of the Ingress.
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![dns entry](img/dns-entry.png)
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NOTE: **Note:**
You can deploy either [functions](#deploying-functions) or [serverless applications](#deploying-serverless-applications)
on a given project but not both. The current implementation makes use of a `serverless.yml` file to signal a FaaS project.
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## Using an existing installation of Knative
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> [Introduced](https://gitlab.com/gitlab-org/gitlab-foss/issues/58941) in GitLab 12.0.
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NOTE: **Note:**
The "invocations" monitoring feature of GitLab serverless will not work when
adding an existing installation of Knative.
It is also possible to use GitLab Serverless with an existing Kubernetes
cluster which already has Knative installed.
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You must do the following:
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1. Follow the steps to
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[add an existing Kubernetes
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cluster](../add_remove_clusters.md#add-existing-cluster).
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1. Ensure GitLab can manage Knative:
- For a non-GitLab managed cluster, ensure that the service account for the token
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provided can manage resources in the `serving.knative.dev` API group.
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- 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),
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then GitLab will already have 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
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)
adding rules to the default `edit` cluster role: First, save the following YAML as
`knative-serving-only-role.yaml`:
```yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: knative-serving-only-role
labels:
rbac.authorization.k8s.io/aggregate-to-edit: "true"
rules:
- apiGroups:
- serving.knative.dev
resources:
- configurations
- configurationgenerations
- routes
- revisions
- revisionuids
- autoscalers
- services
verbs:
- get
- list
- create
- update
- delete
- patch
- watch
```
Then run the following command:
```bash
kubectl apply -f knative-serving-only-role.yaml
```
If you would rather grant permissions on a per service account basis, you can do this
using a `Role` and `RoleBinding` specific to the service account and namespace.
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1. Follow the steps to deploy [functions](#deploying-functions)
or [serverless applications](#deploying-serverless-applications) onto your
cluster.
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## Configuring logging
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> [Introduced](https://gitlab.com/gitlab-org/gitlab/issues/33330) in GitLab 12.5.
### Prerequisites
- A GitLab-managed cluster.
- `kubectl` installed and working.
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)
- Other platforms, see [Install and Set Up kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/).
### Enable request log template
Run the following command to enable request logs:
```shell
kubectl edit cm -n knative-serving config-observability
```
Copy the `logging.request-log-template` from the `data._example` field to the data field one level up in the hierarchy.
### Enable request logs
Run the following commands to install Elasticsearch, Kibana, and Filebeat into a `kube-logging` namespace and configure all nodes to forward logs using Filebeat:
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```shell
kubectl apply -f https://gitlab.com/gitlab-org/serverless/configurations/knative/raw/v0.7.0/kube-logging-filebeat.yaml
kubectl label nodes --all beta.kubernetes.io/filebeat-ready="true"
```
### Viewing request logs
To view request logs:
1. Run `kubectl proxy`.
1. Navigate to Kibana UI.
Or:
1. Open the Kibana UI.
1. Click on **Discover**, then select `filebeat-*` from the dropdown on the left.
1. Enter `kubernetes.container.name:"queue-proxy" AND message:/httpRequest/` into the search box.
## Supported runtimes
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Serverless functions for GitLab can be run using:
- [GitLab-managed](#gitlab-managed-runtimes) runtimes.
- [OpenFaaS](#openfaas-runtimes) runtimes.
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If a runtime is not available for the required programming language, consider deploying a
[serverless application](#deploying-serverless-applications).
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### GitLab-managed runtimes
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Currently the following GitLab-managed [runtimes](https://gitlab.com/gitlab-org/serverless/runtimes)
are available:
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- `go` (proof of concept)
- `nodejs`
- `ruby`
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You must provide a `Dockerfile` to run serverless functions if no runtime is specified.
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### OpenFaaS runtimes
> [Introduced](https://gitlab.com/gitlab-org/gitlab/issues/29253) in GitLab 12.5.
[OpenFaaS classic runtimes](https://github.com/openfaas/templates#templates-in-store) can be used with GitLab serverless.
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OpenFaas runtimes are available for the following languages:
- C#
- Go
- NodeJS
- PHP
- Python
- Ruby
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Runtimes are specified using the pattern: `openfaas/classic/<template_name>`. The following
example shows how to define a function in `serverless.yml` using an OpenFaaS runtime:
```yaml
hello:
source: ./hello
runtime: openfaas/classic/ruby
description: "Ruby function using OpenFaaS classic runtime"
```
`handler` is not needed for OpenFaaS functions. The location of the handler is defined
by the conventions of the runtime.
See the [`ruby-openfaas-function`](https://gitlab.com/knative-examples/ruby-openfaas-function)
project for an example of a function using an OpenFaaS runtime.
## Deploying functions
> Introduced in GitLab 11.6.
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You can find and import all the files referenced in this doc in the
**[functions example project](https://gitlab.com/knative-examples/functions)**.
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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
create a directory called `echo` at the root of the project.
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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:
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- 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.
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1. `.gitlab-ci.yml`: this defines a pipeline used to deploy your functions.
It must be included at the root of your repository:
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```yaml
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include:
template: Serverless.gitlab-ci.yml
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functions:build:
extends: .serverless:build:functions
environment: production
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functions:deploy:
extends: .serverless:deploy:functions
environment: production
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```
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This `.gitlab-ci.yml` creates jobs that invoke some predefined commands to
build and deploy your functions to your cluster.
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`Serverless.gitlab-ci.yml` is a template that allows customization.
You can either import it with `include` parameter and use `extends` to
customize your jobs, or you can inline the entire template by choosing it
from **Apply a template** dropdown when editing the `.gitlab-ci.yml` file through
the user interface.
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1. `serverless.yml`: this file contains the metadata for your functions,
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such as name, runtime, and environment.
It must be included at the root of your repository.
The following is a sample `echo` function which shows the required structure
for the file.
You can find the relevant files for this project in the [functions example project](https://gitlab.com/knative-examples/functions).
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```yaml
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service: functions
description: "GitLab Serverless functions using Knative"
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provider:
name: triggermesh
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envs:
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FOO: value
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secrets:
- my-secrets
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functions:
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echo-js:
handler: echo-js
source: ./echo-js
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runtime: gitlab/runtimes/nodejs
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description: "node.js runtime function"
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envs:
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MY_FUNCTION: echo-js
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secrets:
- my-secrets
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```
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Explanation of the fields used above:
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### `service`
| Parameter | Description |
|-----------|-------------|
| `service` | Name for the Knative service which will serve the function. |
| `description` | A short description of the `service`. |
### `provider`
| Parameter | Description |
|-----------|-------------|
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| `name` | Indicates which provider is used to execute the `serverless.yml` file. In this case, the TriggerMesh middleware. |
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| `envs` | Includes the environment variables to be passed as part of function execution for **all** functions in the file, where `FOO` is the variable name and `BAR` are he variable contents. You may replace this with you own variables. |
| `secrets` | Includes the contents of the Kubernetes secret as environment variables accessible to be passed as part of function execution for **all** functions in the file. The secrets are expected in ini format. |
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### `functions`
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In the `serverless.yml` example above, the function name is `echo` and the
subsequent lines contain the function attributes.
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| Parameter | Description |
|-----------|-------------|
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| `handler` | The function's name. |
| `source` | Directory with sources of a functions. |
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| `runtime` (optional)| The runtime to be used to execute the function. This can be a runtime alias (see [Runtime aliases](#runtime-aliases)), or it can be a full URL to a custom runtime repository. When the runtime is not specified, we assume that `Dockerfile` is present in the function directory specified by `source`. |
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| `description` | A short description of the function. |
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| `envs` | Sets an environment variable for the specific function only. |
| `secrets` | Includes the contents of the Kubernetes secret as environment variables accessible to be passed as part of function execution for the specific function only. The secrets are expected in ini format. |
### Deployment
#### Runtime aliases
The optional `runtime` parameter can refer to one of the following runtime aliases (also see [Supported runtimes](#supported-runtimes)):
| Runtime alias | Maintained by |
|-------------|---------------|
| `gitlab/runtimes/go` | GitLab |
| `gitlab/runtimes/nodejs` | GitLab |
| `gitlab/runtimes/ruby` | GitLab |
| `openfaas/classic/csharp` | OpenFaaS |
| `openfaas/classic/go` | OpenFaaS |
| `openfaas/classic/node` | OpenFaaS |
| `openfaas/classic/php7` | OpenFaaS |
| `openfaas/classic/python` | OpenFaaS |
| `openfaas/classic/python3` | OpenFaaS |
| `openfaas/classic/ruby` | OpenFaaS |
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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
under **Operations > Serverless**.
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![serverless page](img/serverless-page.png)
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This page contains all functions available for the project, the description for
accessing the function, and, if available, the function's runtime information.
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The details are derived from the Knative installation inside each of the project's
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Kubernetes cluster. Click on each function to obtain detailed scale and invocation data.
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The function details can be retrieved directly from Knative on the cluster:
```bash
kubectl -n "$KUBE_NAMESPACE" get services.serving.knative.dev
```
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The sample function can now be triggered from any HTTP client using a simple `POST` call:
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1. Using curl (replace the URL on the last line with the URL of your application):
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```bash
curl \
--header "Content-Type: application/json" \
--request POST \
--data '{"GitLab":"FaaS"}' \
http://functions-echo.functions-1.functions.example.com/
```
1. Using a web-based tool (ie. postman, restlet, etc)
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![function execution](img/function-execution.png)
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### Secrets
To access your Kubernetes secrets from within your function, the secrets should be created under the namespace of your serverless deployment.
#### CLI example
```bash
kubectl create secret generic my-secrets -n "$KUBE_NAMESPACE" --from-literal MY_SECRET=imverysecure
```
#### Part of deployment job
You can extend your `.gitlab-ci.yml` to create the secrets during deployment using the [environment variables](../../../../ci/variables/README.md)
stored securely under your GitLab project.
```yaml
deploy:function:
stage: deploy
environment: production
extends: .serverless:deploy:functions
before_script:
- kubectl create secret generic my-secret
--from-literal MY_SECRET="$GITLAB_SECRET_VARIABLE"
--namespace "$KUBE_NAMESPACE"
--dry-run -o yaml | kubectl apply -f -
```
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### Running functions locally
Running a function locally is a good way to quickly verify behavior during development.
Running functions locally requires:
- Go 1.12 or newer installed.
- Docker Engine installed and running.
- `gitlabktl` installed using the Go package manager:
```shell
GO111MODULE=on go get gitlab.com/gitlab-org/gitlabktl
```
To run a function locally:
1. Navigate to the root of your GitLab serverless project.
1. Build your function into a Docker image:
```shell
gitlabktl serverless build
```
1. Run your function in Docker:
```shell
docker run -itp 8080:8080 <your_function_name>
```
1. Invoke your function:
```shell
curl http://localhost:8080
```
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## Deploying Serverless applications
> Introduced in GitLab 11.5.
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Serverless applications are an alternative to [serverless functions](#deploying-functions).
They are 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. Note though that serverless
applications should be stateless!
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NOTE: **Note:**
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You can reference and import the sample [Knative Ruby App](https://gitlab.com/knative-examples/knative-ruby-app) to get started.
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Add the following `.gitlab-ci.yml` to the root of your repository
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(you may skip this step if you've previously cloned the sample [Knative Ruby App](https://gitlab.com/knative-examples/knative-ruby-app) mentioned above):
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```yaml
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include:
template: Serverless.gitlab-ci.yml
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build:
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extends: .serverless:build:image
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deploy:
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extends: .serverless:deploy:image
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```
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`Serverless.gitlab-ci.yml` is a template that allows customization.
You can either import it with `include` parameter and use `extends` to
customize your jobs, or you can inline the entire template by choosing it
from **Apply a template** dropdown when editing the `.gitlab-ci.yml` file through
the user interface.
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A `serverless.yml` file is not required when deploying serverless applications.
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### Deploy the application with Knative
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With all the pieces in place, the next time a CI pipeline runs, the Knative application will be deployed. Navigate to
**CI/CD > Pipelines** and click the most recent pipeline.
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### Obtain the URL for the Knative deployment
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Go to the **CI/CD > Pipelines** and click on the pipeline that deployed your app. Once all the stages of the pipeline finish, click the **deploy** stage.
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![deploy stage](img/deploy-stage.png)
The output will look like this:
```bash
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Running with gitlab-runner 12.1.0-rc1 (6da35412)
on prm-com-gitlab-org ae3bfce3
Using Docker executor with image registry.gitlab.com/gitlab-org/gitlabktl:latest ...
Running on runner-ae3bfc-concurrent-0 via runner-ae3bfc ...
Fetching changes...
Authenticating with credentials from job payload (GitLab Registry)
$ /usr/bin/gitlabktl application deploy
Welcome to gitlabktl tool
time="2019-07-15T10:51:07Z" level=info msg="deploying registry credentials"
Creating app-hello function
Waiting for app-hello ready state
Service app-hello URL: http://app-hello.serverless.example.com
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Job succeeded
```
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The second to last line, labeled **Service domain** contains the URL for the
deployment. Copy and paste the domain into your browser to see the app live.
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![knative app](img/knative-app.png)
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## Function details
Go to the **Operations > Serverless** page and click on one of the function
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.
### Prometheus support
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
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.
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## Enabling TLS for Knative services
By default, a GitLab serverless deployment will be served over `http`. In order to serve over `https` you
must manually obtain and install TLS certificates.
The simplest way to accomplish this is to
use [Certbot to manually obtain Let's Encrypt certificates](https://knative.dev/docs/serving/using-a-tls-cert/#using-certbot-to-manually-obtain-let-s-encrypt-certificates). Certbot is a free, open source software tool for automatically using Lets Encrypt certificates on manually-administrated websites to enable HTTPS.
NOTE: **Note:**
The instructions below relate to installing and running Certbot on a Linux server and may not work on other operating systems.
1. Install Certbot by running the
[`certbot-auto` wrapper script](https://certbot.eff.org/docs/install.html#certbot-auto).
On the command line of your server, run the following commands:
```sh
wget https://dl.eff.org/certbot-auto
sudo mv certbot-auto /usr/local/bin/certbot-auto
sudo chown root /usr/local/bin/certbot-auto
chmod 0755 /usr/local/bin/certbot-auto
/usr/local/bin/certbot-auto --help
```
To check the integrity of the `certbot-auto` script, run:
```sh
wget -N https://dl.eff.org/certbot-auto.asc
gpg2 --keyserver ipv4.pool.sks-keyservers.net --recv-key A2CFB51FA275A7286234E7B24D17C995CD9775F2
gpg2 --trusted-key 4D17C995CD9775F2 --verify certbot-auto.asc /usr/local/bin/certbot-auto
```
The output of the last command should look something like:
```sh
gpg: Signature made Mon 10 Jun 2019 06:24:40 PM EDT
gpg: using RSA key A2CFB51FA275A7286234E7B24D17C995CD9775F2
gpg: key 4D17C995CD9775F2 marked as ultimately trusted
gpg: checking the trustdb
gpg: marginals needed: 3 completes needed: 1 trust model: pgp
gpg: depth: 0 valid: 1 signed: 0 trust: 0-, 0q, 0n, 0m, 0f, 1u
gpg: next trustdb check due at 2027-11-22
gpg: Good signature from "Let's Encrypt Client Team <letsencrypt-client@eff.org>" [ultimate]
```
1. Run the following command to use Certbot to request a certificate
using DNS challenge during authorization:
```sh
./certbot-auto certonly --manual --preferred-challenges dns -d '*.<namespace>.example.com'
```
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Where `<namespace>` is the namespace created by GitLab for your serverless project (composed of `<project_name>-<project_id>-<environment>`) and
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`example.com` is the domain being used for your project. If you are unsure what the namespace of your project is, navigate
to the **Operations > Serverless** page of your project and inspect
the endpoint provided for your function/app.
![function_endpoint](img/function-endpoint.png)
In the above image, the namespace for the project is `node-function-11909507` and the domain is `knative.info`, thus
certificate request line would look like this:
```sh
./certbot-auto certonly --manual --preferred-challenges dns -d '*.node-function-11909507.knative.info'
```
The Certbot tool walks you through the steps of validating that you own each domain that you specify by creating TXT records in those domains.
After this process is complete, the output should look something like this:
```sh
IMPORTANT NOTES:
- Congratulations! Your certificate and chain have been saved at:
/etc/letsencrypt/live/namespace.example.com/fullchain.pem
Your key file has been saved at:
/etc/letsencrypt/live/namespace.example/privkey.pem
Your cert will expire on 2019-09-19. To obtain a new or tweaked
version of this certificate in the future, simply run certbot-auto
again. To non-interactively renew *all* of your certificates, run
"certbot-auto renew"
-----BEGIN PRIVATE KEY-----
- Your account credentials have been saved in your Certbot
configuration directory at /etc/letsencrypt. You should make a
secure backup of this folder now. This configuration directory will
also contain certificates and private keys obtained by Certbot so
making regular backups of this folder is ideal.
```
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
Kubernetes secret:
Run the following command to see the contents of `fullchain.pem`:
```sh
sudo cat /etc/letsencrypt/live/node-function-11909507.knative.info/fullchain.pem
```
Output should look like this:
```sh
-----BEGIN CERTIFICATE-----
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b4ag==
-----END CERTIFICATE-----
-----BEGIN CERTIFICATE-----
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
K2fcb195768c39e9a94cec2c2e30Qg==
-----END CERTIFICATE-----
```
Create a file with the name `cert.pem` with the contents of the entire output.
Once `cert.pem` is created, run the following command to see the contents of `privkey.pem`:
```sh
sudo cat /etc/letsencrypt/live/namespace.example/privkey.pem
```
Output should look like this:
```sh
-----BEGIN PRIVATE KEY-----
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
2fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
04f294d1eaca42b8692017b426d53bbc8fe75f827734f0260710b83a556082df
-----BEGIN CERTIFICATE-----
fcb195768c39e9a94cec2c2e32c59c0aad7a3365c10892e8116b5d83d4096b6
4f294d1eaca42b8692017b4262==
-----END PRIVATE KEY-----
```
Create a new file with the name `cert.pk` with the contents of the entire output.
1. Create a Kubernetes secret to hold your TLS certificate, `cert.pem`, and
the private key `cert.pk`:
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/).
```sh
kubectl create --namespace istio-system secret tls istio-ingressgateway-certs \
--key cert.pk \
--cert cert.pem
```
Where `cert.pem` and `cert.pk` are your certificate and private key files. Note that the `istio-ingressgateway-certs` secret name is required.
1. Configure Knative to use the new secret that you created for HTTPS
connections. Run the
following command to open the Knative shared `gateway` in edit mode:
```sh
kubectl edit gateway knative-ingress-gateway --namespace knative-serving
```
Update the gateway to include the following tls: section and configuration:
```sh
tls:
mode: SIMPLE
privateKey: /etc/istio/ingressgateway-certs/tls.key
serverCertificate: /etc/istio/ingressgateway-certs/tls.crt
```
Example:
```sh
apiVersion: networking.istio.io/v1alpha3
kind: Gateway
metadata:
# ... skipped ...
spec:
selector:
istio: ingressgateway
servers:
- hosts:
- "*"
port:
name: http
number: 80
protocol: HTTP
- hosts:
- "*"
port:
name: https
number: 443
protocol: HTTPS
tls:
mode: SIMPLE
privateKey: /etc/istio/ingressgateway-certs/tls.key
serverCertificate: /etc/istio/ingressgateway-certs/tls.crt
```
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.
2020-01-01 13:55:28 +05:30
## Using an older version of `gitlabktl`
There may be situations where you want to run an older version of `gitlabktl`. This
requires setting an older version of the `gitlabktl` image in the `.gitlab-ci.yml file.`
To set an older version, add `image:` to the `functions:deploy` block. For example:
```yaml
functions:deploy:
extends: .serverless:deploy:functions
environment: production
image: registry.gitlab.com/gitlab-org/gitlabktl:0.5.0
```
Different versions are available by changing the version tag at the end of the registry URL in the
format `registry.gitlab.com/gitlab-org/gitlabktl:<version>`.
For a full inventory of available `gitlabktl` versions, see the `gitlabktl` project's
[container registry](https://gitlab.com/gitlab-org/gitlabktl/container_registry).