323 lines
15 KiB
Markdown
323 lines
15 KiB
Markdown
# Serverless
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> Introduced in GitLab 11.5.
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CAUTION: **Caution:**
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Serverless is currently in [alpha](https://about.gitlab.com/handbook/product/#alpha).
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Run serverless workloads on Kubernetes using [Knative](https://cloud.google.com/knative/).
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## Overview
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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, clone the [functions example project](https://gitlab.com/knative-examples/functions) to get started.
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- If you are planning on deploying a serverless application, 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](../index.md#adding-and-creating-a-new-gke-cluster-via-gitlab).
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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
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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
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wildcard domain where your applications will be served. Configure your DNS server to use the
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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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and [TriggerMesh CLI](https://github.com/triggermesh/tm) CLIs to simplify the
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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
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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
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project's repo and expose port `8080`. `Dockerfile` is not require if you plan to build serverless functions
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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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## Installing Knative via GitLab's Kubernetes integration
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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](../index.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](../#manually-determining-the-external-endpoint).
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NOTE: **Note:**
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Running `kubectl` commands on your cluster requires setting up access to the cluster first.
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For clusters created on GKE, see [GKE Cluster Access](https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl),
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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 A 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:**
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You can deploy either [functions](#deploying-functions) or [serverless applications](#deploying-serverless-applications)
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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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## Deploying functions
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> Introduced in GitLab 11.6.
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Using functions is useful for dealing with independent
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events without needing to maintain a complex unified infrastructure. This allows
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you to focus on a single task that can be executed/scaled automatically and independently.
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Currently the following [runtimes](https://gitlab.com/gitlab-org/serverless/runtimes) are offered:
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- ruby
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- node.js
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- Dockerfile
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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):
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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.
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- 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.
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It must be included at the root of your repository:
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```yaml
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include:
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template: Serverless.gitlab-ci.yml
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functions:build:
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extends: .serverless:build:functions
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environment: production
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functions:deploy:
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extends: .serverless:deploy:functions
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environment: production
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```
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This `.gitlab-ci.yml` creates jobs that invoke some predefined commands to
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build and deploy your functions to your cluster.
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`Serverless.gitlab-ci.yml` is a template that allows customization.
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You can either import it with `include` parameter and use `extends` to
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customize your jobs, or you can inline the entire template by choosing it
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from **Apply a template** dropdown when editing the `.gitlab-ci.yml` file through
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the user interface.
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2. `serverless.yml`: this file contains the metadata for your functions,
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such as name, runtime, and environment.
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It must be included at the root of your repository.
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The following is a sample `echo` function which shows the required structure
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for the file.
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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
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description: "GitLab Serverless functions using Knative"
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provider:
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name: triggermesh
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environment:
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FOO: value
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functions:
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echo-js:
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handler: echo-js
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source: ./echo-js
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runtime: https://gitlab.com/gitlab-org/serverless/runtimes/nodejs
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description: "node.js runtime function"
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environment:
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MY_FUNCTION: echo-js
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echo-rb:
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handler: MyEcho.my_function
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source: ./echo-rb
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runtime: https://gitlab.com/gitlab-org/serverless/runtimes/ruby
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description: "Ruby runtime function"
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environment:
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MY_FUNCTION: echo-rb
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echo-docker:
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handler: echo-docker
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source: ./echo-docker
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description: "Dockerfile runtime function"
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environment:
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MY_FUNCTION: echo-docker
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```
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Explanation of the fields used above:
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### `service`
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| Parameter | Description |
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|-----------|-------------|
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| `service` | Name for the Knative service which will serve the function. |
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| `description` | A short description of the `service`. |
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### `provider`
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| Parameter | Description |
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|-----------|-------------|
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| `name` | Indicates which provider is used to execute the `serverless.yml` file. In this case, the TriggerMesh `tm` CLI. |
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| `environment` | 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. |
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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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|-----------|-------------|
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| `handler` | The function's name. |
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| `source` | Directory with sources of a functions. |
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| `runtime` | The runtime to be used to execute the function. |
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| `description` | A short description of the function. |
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| `environment` | Sets an environment variable for the specific function only. |
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After the `gitlab-ci.yml` template has been added and the `serverless.yml` file has been
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created, pushing a commit to your project will result in a
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CI pipeline being executed which will deploy each function as a Knative service.
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Once the deploy stage has finished, additional details for the function will
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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
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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:
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```bash
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kubectl -n "$KUBE_NAMESPACE" get services.serving.knative.dev
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```
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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
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curl \
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--header "Content-Type: application/json" \
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--request POST \
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--data '{"GitLab":"FaaS"}' \
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http://functions-echo.functions-1.functions.example.com
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```
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2. Using a web-based tool (ie. postman, restlet, etc)
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![function execution](img/function-execution.png)
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## Deploying Serverless applications
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> Introduced in GitLab 11.5.
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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:
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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.
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You can either import it with `include` parameter and use `extends` to
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customize your jobs, or you can inline the entire template by choosing it
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from **Apply a template** dropdown when editing the `.gitlab-ci.yml` file through
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the user interface.
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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
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**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)
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The output will look like this:
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```bash
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Running with gitlab-runner 11.5.0~beta.844.g96d88322 (96d88322)
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on docker-auto-scale 72989761
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Using Docker executor with image gcr.io/triggermesh/tm@sha256:e3ee74db94d215bd297738d93577481f3e4db38013326c90d57f873df7ab41d5 ...
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Pulling docker image gcr.io/triggermesh/tm@sha256:e3ee74db94d215bd297738d93577481f3e4db38013326c90d57f873df7ab41d5 ...
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Using docker image sha256:6b3f6590a9b30bd7aafb9573f047d930c70066e43955b4beb18a1eee175f6de1 for gcr.io/triggermesh/tm@sha256:e3ee74db94d215bd297738d93577481f3e4db38013326c90d57f873df7ab41d5 ...
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Running on runner-72989761-project-4342902-concurrent-0 via runner-72989761-stg-srm-1541795796-27929c96...
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Cloning repository...
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Cloning into '/builds/danielgruesso/knative'...
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Checking out 8671ad20 as master...
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Skipping Git submodules setup
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$ echo "$CI_REGISTRY_IMAGE"
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registry.staging.gitlab.com/danielgruesso/knative
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$ tm -n "$KUBE_NAMESPACE" --config "$KUBECONFIG" deploy service "$CI_PROJECT_NAME" --from-image "$CI_REGISTRY_IMAGE" --wait
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Deployment started. Run "tm -n knative-4342902 describe service knative" to see the details
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Waiting for ready state.......
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Service domain: knative.knative-4342902.example.com
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Job succeeded
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```
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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
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browser to see the app live.
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![knative app](img/knative-app.png)
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## Function details
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Go to the **Operations > Serverless** page and click on one of the function
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rows to bring up the function details page.
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![function_details](img/function-details-loaded.png)
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The pod count will give you the number of pods running the serverless function instances on a given cluster.
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### Prometheus support
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For the Knative function invocations to appear,
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[Prometheus must be installed](../index.md#installing-applications).
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Once Prometheus is installed, a message may appear indicating that the metrics data _is
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loading or is not available at this time._ It will appear upon the first access of the
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page, but should go away after a few seconds. If the message does not disappear, then it
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is possible that GitLab is unable to connect to the Prometheus instance running on the
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cluster.
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