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06-configuring-services.md

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Configuring services

This document describes configuration options of the services shipped with Spryker in Docker by default. Find the list of the services below:

  • [Database](#database)
    
  • [ElasticSearch](#elasticsearch)
    
  • [OpenSearch](#opensearch)
    
  • [Kibana UI](#kibana-ui)
    
  • [RabbitMQ](#rabbitmq)
    
  • [Swagger UI](#swagger-ui)
    
  • [Redis](#redis)
    
  • [Redis GUI](#redis-gui)
    
  • [MailHog](#mailhog)
    
  • [Blackfire](#blackfire)
    
  • [New Relic](#new-relic)
    
  • [WebDriver](#webdriver)
    
  • [Dashboard](#dashboard)
    
  • [Tideways](#tideways)
    

Prerequisites

Install or update the Docker SDK to the latest version:

git clone https://github.com/spryker/docker-sdk.git ./docker

Optional services

All services are optional, but each application requires certain services to work properly. Dependencies per service:

Service name Application Dependencies
database backoffice, backend-gateway, zed, merchant-portal, glue-backend
broker backoffice, backend-gateway, zed, merchant-portal, glue-backend
key_value_store backoffice, backend-gateway, zed, yves, merchant-portal, glue, glue-storefront, glue-backend
session backoffice, zed, yves, merchant-portal, glue-backend
search backoffice, backend-gateway, zed, yves, merchant-portal, glue, glue-storefront, glue-backend

Database

MariaDB is provided as a service by default, but you can switch to MySQL or PostgreSQL as described below.

MariaDB

MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system.

See MariaDB knowledge base for more details.

:::(Warning) (Default service) MariaDB is provided as a service by default. You may only need to use this configuration if you are running an older version of the Docker SDK or if you've previously switched to another database engine. :::

Configuration

Follow the steps below to switch the database service to MariaDB:

  1. Adjust deploy.*.yml in the services: section:
...
services:
    database:
        engine: mysql
        version: mariadb-10.11
        ...
        endpoints:
            localhost:3306:
...
  1. Bootstrap the docker setup, regenerate demo data, and rebuild the application:
docker/sdk boot deploy.*.yml
docker/sdk clean-data
docker/sdk up --build --data

MySQL

MySQL is an open source relational database management system based on Structured Query Language (SQL). MySQL enables data to be stored and accessed across multiple storage engines, including InnoDB, CSV and NDB. MySQL is also capable of replicating data and partitioning tables for better performance and durability.

See MySQL documentation for more details.

Configuration

Follow the steps below to switch database engine to MySQL:

  1. Adjust deploy.*.yaml in the services: section:
...
services:
    database:
        engine: mysql
        ...
        endpoints:
            localhost:3306:
...
  1. Bootstrap the docker setup, regenerate demo data, and rebuild the application:
docker/sdk boot deploy.*.yml
docker/sdk clean-data
docker/sdk up --build --data

PostgreSQL

PostgreSQL PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.

See PostgreSQL documentation for more details.

Configuration

Follow the steps below to switch database engine to PostgreSQL:

  1. Adjust deploy.*.yml in the services: section:
...
services:
    database:
        engine: postgres
        ...
        endpoints:
            localhost:5432:
...
  1. Bootstrap the docker setup, regenerate demo data, and rebuild the application:
docker/sdk boot deploy.*.yml
docker/sdk clean-data
docker/sdk up --build --data

ElasticSearch

Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.

See:

Configuration

  1. Adjust deploy.*.yml in the services: section to open the port used for accessing ElasticSearch:
services:
    search:
        engine: elastic
        endpoints:
            localhost:9200
                protocol: tcp
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

## OpenSearch

[OpenSearch](https://opensearch.org/docs/1.3/) is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.

### Configuration

1. Adjust `deploy.*.yml` in the `services:` section to open the port used for accessing OpenSearch:
```yaml
services:
    search:
        engine: opensearch
        endpoints:
            localhost:9200
              protocol: tcp


2. Bootstrap the docker setup and rebuild the application:
```bash
docker/sdk boot deploy.*.yml &&\
docker/sdk up

Kibana UI

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

See Kibana documentation to learn more.

In Docker SDK, Kibana UI is provided as a service by default.

Configuration

Follow the steps to configure an endpoint for Kibana UI:

  1. Adjust deploy.*.yml in the services: section:
services:
    ...
    kibana:
        engine: kibana
        endpoints:
            {custom_endpoint}:
  1. Adjust host file, if {custom_endpoint} aren't ending on .localhost:
echo "127.0.0.1 {custom_endpoint}" | sudo tee -a /etc/hosts
    1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

RabbitMQ

RabbitMQ is a messaging broker - an intermediary for messaging. It gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Configuration

  1. Adjust deploy.*.yml in the services: section to open the port used for accessing RabbitMQ:
services:
    broker:
    ...
        endpoints:
    ...
            localhost:5672:
                protocol: tcp
            api.queue.spryker.local:
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

Swagger UI

Swagger UI allows anyone — be it your development team or your end consumers — to visualize and interact with the API’s resources without having any of the implementation logic in place. It’s automatically generated from your OpenAPI (formerly known as Swagger) Specification, with the visual documentation making it easy for back end implementation and client-side consumption.

See Swagger UI documentation for more details.

In Docker SDK, Swagger UI is provided as a service by default.

Rest API Reference in Spryker

Spryker provides the basic functionality to generate OpenApi schema specification for REST API endpoints. This document provides an overview of REST API endpoints. For each endpoint, you will find the URL, REST request parameters as well as the appropriate request and response data formats.

Configuration

Follow the steps to configure an endpoint for Swagger UI:

  1. Adjust deploy.*.yml in the services: section:
services:
    ...
    swagger:
        engine: swagger-ui
        endpoints:
            {custom_endpoint}:
  1. Adjust the host file, if {custom_endpoint} aren't ending on .localhost:
echo "127.0.0.1 {custom_endpoint}" | sudo tee -a /etc/hosts
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

Redis

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams.

See Redis documentation for more details.

Configuration

  1. Adjust deploy.*.yml in the services: section to open the port used for accessing Redis:
services:
    key_value_store:
        engine: redis
        endpoints:
            localhost:16379:
                protocol: tcp
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

Redis GUI

Redis Commander is a web management tool that provides a graphical user interface to access Redis databases and perform basic operations like view keys as a tree, view CRUD keys or import/export databases.

Configuration

Follow the steps to configure an endpoint for Redis Commander:

  1. Adjust deploy.*.yml in the services: section:
services:
...
    redis-gui:
        engine: redis-commander
        endpoints:
            {custom_endpoint}: //redis-commander.spryker.local:
  1. Adjust hosts file, if {custom_endpoint} aren't ending on .localhost:
echo "127.0.0.1 {custom_endpoint}" | sudo tee -a /etc/hosts
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

MailHog

MailHog is a mail catcher service that is used with Spryker in Docker for Demo and Development environments. Developers use this email testing tool to catch and show emails locally without an SMTP (Simple Mail Transfer Protocol) server.

With the MailHog service, developers can:

  • configure an application to use MailHog for SMTP delivery;
  • view messages in the web UI or retrieve them via JSON API.

:::(Info) () By default the following applies:

  • http://mail.demo-spryker.com/ is used to see incoming emails.
  • Login is not required :::

Configuration

  1. Adjust deploy.*.yml in the services: section to specify a custom endpoint:
services:
        ...
        mail_catcher:
                engine: mailhog
                endpoints:
                          {custom_endpoint}:
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

Blackfire

Blackfire is a tool used to profile, test, debug, and optimize performance of PHP applications. It gathers data about consumed server resources like memory, CPU time, and I/O operations. The data and configuration can be checked via Blackfire web interface.

Configuration

Follow the steps to enable Blackfire:

  1. Adjust deploy.*.yml in the image: section to enable the Blackfire PHP extension:
image:
    tag: spryker/php:7.3 # Use the same tag you had in `image:`
    php:
        ...
        enabled-extensions:
            - blackfire
  1. Adjust deploy.*.yml in the services: section to configure Blackfire client:
services:
    ...
    blackfire:
        engine: blackfire
        server-id: {server_id}
        server-token: {server_token}
        client-id: {client_id}
        client-token: {client-token}
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

Alternative Configuration

Use the following configuration if you are going to change server or client details often, or if you don’t want to define them in your deploy file.

Follow the steps to enable Blackfire:

  1. Adjust deploy.*.yml in the image: section to enable the Blackfire PHP extension:
image:
    tag: spryker/php:7.3 # Use the same tag you had in `image:`
    php:
        ...
        enabled-extensions:
            - blackfire
  1. Adjust deploy.*.yml in the services: section to enable Blackfire service:
services:
    ...
    blackfire:
        engine: blackfire
  1. Pass Blackfire client details:
 BLACKFIRE_CLIENT_ID={client_id} BLACKFIRE_CLIENT_TOKEN={client-token} docker/sdk cli
  1. Pass Blackfire server details:
BLACKFIRE_SERVER_ID={client-token} BLACKFIRE_SERVER_TOKEN={server_token} docker/sdk up

:::(Warning) (Note) You can pass the server details only with the docker/sdk up command. :::

  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

It is not obligatory to pass all the details as environment variables or define all the details in the deploy file. You can pass the details in any combination.

New Relic

New Relic is a tool used to track the performance of services and the environment to quickly find and fix issues.

The solution consists of a client and a server. The client is used to collect data about applications in an environment and send it to the server for further analysis and presentation. The server is used to aggregate, analyse, and present the data.

Prerequisites

Spryker provides its own New Relic licenses for use with its PaaS environments. A New Relic license key is only required if you wish to set up your own local monitoring.

Install the New Relic module

While most environments come with New Relic already available, you may need to add the module to your project. Add the module to your composer.json:

composer require spryker-eco/new-relic

SCCOS: Configure New Relic

  1. Adjust deploy.*.yml in the image: section:
image:
    tag: spryker/php:7.4 # the image tag that has been previously used in `image`
    php:
        ...
        enabled-extensions:
            ...
            - newrelic
  1. Push and deploy the changes using one of the following guides:
  1. Submit an infrastructure change request via the Support Portal. We will confirm that a New Relic APM account is available for you and ensure that the correct application naming convention is set up to cascade to the appropriate APM.

Once New Relic is enabled, in the New Relic dashboard, you may see either company-staging-newrelic-app or YVES-DE (docker.dev). New Relic displays these APM names by the application name setup in the configuration files.

screenshot

{% info_block infoBox %}

If you update the name of an application, contact support to update the changes in your APM.

{% endinfo_block %}

Local: Configure New Relic

  1. In deploy.*.yml, adjust the docker section:
docker:
    newrelic:
        license: {new_relic_license}
    distributed tracing:
            enabled: true
  1. In the deploy.*.yml, adjust the image section:
image:
    tag: spryker/php:7.4 # the image tag that has been previously used in `image`
    php:
        ...
        enabled-extensions:
            ...
            - newrelic
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

Configure YVES, ZED, and GLUE as separate APMs

By default, in the New Relic dashboard, the APM is displayed as company-staging-newrelic-app. To improve visibility, you may want to configure each application as a separate APM. For example, YVES-DE (docker.dev).

To do it, adjust the Monitoring service in src/Pyz/Service/Monitoring/MonitoringDependencyProvider.php:

<?php declare(strict_types = 1);

/**
 * This file is part of the Spryker Commerce OS.
 * For full license information, please view the LICENSE file that was distributed with this source code.
 */

namespace Pyz\Service\Monitoring;

use Spryker\Service\Monitoring\MonitoringDependencyProvider as SprykerMonitoringDependencyProvider;
use SprykerEco\Service\NewRelic\Plugin\NewRelicMonitoringExtensionPlugin;

class MonitoringDependencyProvider extends SprykerMonitoringDependencyProvider
{
    /**
     * @return \Spryker\Service\MonitoringExtension\Dependency\Plugin\MonitoringExtensionPluginInterface[]
     */
    protected function getMonitoringExtensions(): array
    {
        return [
            new NewRelicMonitoringExtensionPlugin(),
        ];
    }
}

{% info_block infoBox %}

  • Some builds have the Monitoring service built into the Yves application. If src/Pyz/Service/Monitoring/MonitoringDependencyProvider.php does not exist, you may want to check src/Pyz/Yves/Monitoring/.

  • If the class is missing from the Monitoring service, create it.

{% endinfo_block %}

With new \SprykerEco\Service\NewRelic\Plugin\NewRelicMonitoringExtensionPlugin() being returned with the getMonitoringExtensions() function, the Monitoring class includes New Relic. Now applications are displayed as separate APMs, and an appropriate endpoint or class is displayed with each transaction.

screenshot

  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

Webdriver

PhantomJS is provided as a webdriver service by default, but you can switch to ChromeDriver as described below.

ChromeDriver

ChromeDriver is a thin wrapper on WebDriver and Chromium headless browser. It is used for automating web page interaction, JavaScript execution, and other testing-related activities. It provides full-control API to make end-to-end testing flexible and comfortable.

Configuration

To enable Chromedriver, adjust deploy.*.yml as follows:

services:
    webdriver:
        engine: chromedriver

PhantomJS

PhantomJS is a headless browser for automating web page interaction. It ships with a WebDriver based on Selenium.

Configuration

To enable PhantomJS, adjust deploy.*.yml as follows:

services:
    webdriver:
        engine: phantomjs

Dashboard

Dashboard is a tool that helps to monitor logs in real time. You can monitor logs in all or a particular container.

Configuration

  1. Adjust your deploy.*.yml as follows:
dashboard:
        engine: dashboard
        endpoints:
            {custom_endpoint}:
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up

Tideways

Tideways is an application profiler used for testing and debugging. Its main functions are profiling, monitoring, and exception tracking.

Configuration

  1. Adjust your deploy.*.yml as follows:
tideways:
    apikey: {tideways_api_key}
    environment-name: {tideways_environment_name}
    cli-enabled: {true|false}
  1. Bootstrap the docker setup and rebuild the application:
docker/sdk boot deploy.*.yml &&\
docker/sdk up