J'ai présenté lors du Drupalcamp de Rennes en mars 2024 mon nouveau sideproject : un ensemble de jobs factorisés pour gitlab ci.
La problématique était la suivante :
- je déploie pas mal de sites, sur des infrastructures différentes, tout est automatisé via la Gitlab CI. Quand j'attaque un nouveau projet, je me contente de copier le fichier .gitlab-ci.yml, qui définit toute la procédure, depuis mon projet le plus récent vers ce nouveau projet. Je dois ensuite penser à modifier certaines variables, certains comportements afin que cela marche sur ce nouveau projet, c'est long, et il est facile de faire une erreur.
- Si je fais des évolutions dans mes jobs, le portage sur les anciens projets est complexe.
- Je me retrouve entre mes différents projets avec aucune cohérence, au niveau du noms des stages, des jobs lancés, des fonctionnalités...
J'ai décidé de prendre ce problème à la base et j'ai commencé à poser les besoins que j'avais :
- Une liste de jobs factorisés, dans laquelle je viens piocher en fonction des besoins du projet. Tous ces jobs étant sur un même dépôt. La réutilisation étant géré via des includes. La généralisation des jobs est faite via les variables Gitlab, par exemple le user ssh est une variable $SSH_USER.
- Ces variables doivent pouvoir être différentes entre les différents environnements (dans mon cas : prod et preprod).
- Les règles de déploiements sont fixes, un tag de la forme x.y.z lancera un déploiement en prod, un commit / merge sur une branche preprod lancera lui un déploiement en preprod.
- Je dois assurer la compatibilité ascendante, ainsi une nouvelle fonctionnalité développée ne doit pas casser les déploiements existants.
- Tout doit être documenté, que ça soit pour mon moi du futur ou pour les curieux afin qu'ils s'en servent comme inspiration.
Voici ce à quoi je suis arrivé :
Un dépôt gitlab qui contient des jobs, factorisés :
Pour la documentation, j'ai utilisé l'outil opensource de meta : Docusaurus. Qui génère un mini site statique à partir de fichiers markdown, qui sont directement dans le dépôt :
Cette documentation est hébergée via Gitlab pages avec un nom de domaine personnalisé : https://gitlab-ci-templates.kgaut.net/
Comment ça marche ?
Tous mes jobs sont dans le dossier « templates » du dépôt : https://gitlab.com/kgaut/gitlab-ci-templates/-/tree/main/templates?ref_type=heads
Chaque type de job est dans un fichier spécifique afin de pouvoir, à la carte, utiliser que ce dont on a besoin suivant notre projet :
Voici par exemple le contenu du job de déploiement :
variables:
DRUPAL_SITE_PATH : 'web/sites/default'
MIGRATION_SCRIPT_PATH : 'scripts'
MIGRATION_SCRIPT_PREDEPLOY_PATH : "$MIGRATION_SCRIPT_PATH/pre-deploy"
MIGRATION_SCRIPT_POSTDEPLOY_PATH : "$MIGRATION_SCRIPT_PATH/post-deploy"
.deploy:
stage: deploy
extends:
.ssh
script:
- wget -O drupal-deploy.sh "https://gitlab.com/kgaut/gitlab-ci-templates/-/raw/$CI_TEMPLATE_VERSION/scripts/drupal-deploy.sh"
- $SSH_CHAIN 'bash -s' < ./drupal-deploy.sh $PROJECT_ROOT $DRUPAL_SITE_PATH $DRUSH_BIN $CI_ENVIRONMENT_NAME $CI_COMMIT_SHORT_SHA $CI_COMMIT_TAG $DRUSH_ALIAS
prod:deploy:
extends:
- .prod
- .deploy
preprod:deploy:
extends:
- .preprod
- .deploy
Chaque job défini des variables par défaut qui peuvent être surchargées par projet. Toutes les variables sont référencées ici : https://gitlab-ci-templates.kgaut.net/docs/bases/variables
Mise en application
Je commence petit à petit à basculer tous mes sites sur ces templates, voici par exemple le .gitlab-ci.yml de mon site, sur lequel vous êtes actuellement :
variables:
CI_TEMPLATE_VERSION: &CI_TEMPLATE_VERSION 0.4.0 # Le tag de mon projet de déploiement
PATH_TO_THEME: "./web/themes/custom/kgaut_2024"
ASSETS_IMAGE: "registry.gitlab.com/kgaut/docker-node-images:19"
ASSETS_ARTEFACTS: "./web/themes/custom/kgaut_2024/css"
SENTRY_PROJECT : 'kgautnet'
SENTRY_ORG : 'kgautnet'
DB_PATH: 'db'
DIFFS_PATH: 'files/diffs'
ENV_PREPROD_DISABLED: 1
QA_DOCKER_IMAGE: wodby/drupal-php:8.2-dev
PHPCS_DOCKER_IMAGE: $QA_DOCKER_IMAGE
PHPSTAN_DOCKER_IMAGE: $QA_DOCKER_IMAGE
include: # Ici c'est l'inclusion de l'ensemble des jobs utilisés pour le déploiement du site
- project: kgaut/gitlab-ci-templates
ref: *CI_TEMPLATE_VERSION
file:
- '/templates/generic/stages-variables-extends.yml'
- '/templates/drupal/backup.yml'
- '/templates/drupal/diff-config.yml'
- '/templates/generic/diff-repository.yml'
- '/templates/generic/assets.yml'
- '/templates/drupal/deploy.yml'
- '/templates/generic/sentry.yml'
- '/templates/drupal/post-deploy-clear-cache.yml'
- '/templates/generic/scheduled-clean-dump.yml'
- '/templates/drupal/scheduled-backup.yml'
- '/templates/generic/deploy-tracking.yml'
- '/templates/qa/phpstan.yml'
- '/templates/qa/phpcs.yml'
Certaines variables sont définies directement dans ce fichier, et d'autres, pour des raisons de sécurités sont directement définies sur Gitlab :
Les variables sur Gitlab permettent aussi de définir les variables qui sont différentes par environnement (host SSH, User SSH par exemple) dans le cas courant je n'ai qu'un seul environnement : la production.
Et voici le déploiement en lui même :
Via la variable CI_TEMPLATE_VERSION je fais référence à un tag de mes templates de déploiement, ainsi, même si je fais des évolutions, les templates sont bloqués et je ne risque pas de casser des déploiements qui fonctionnent. Une montée de version est évidement possible, mais sera faite en pleine conscience. Les différents tags sont visibles ici : https://gitlab.com/kgaut/gitlab-ci-templates/-/tags
La branche principale est main, elle peut contenir des modifications en test, un tag ne sera créé que lorsque tout est considéré comme stable.
J'ai profité du troisième jour du drupalcamp afin d'ajouter un peu de QA, avec pour l'instant uniquement des jobs phpstan et phpcs. Ces jobs crééent des artefacts qui sont récupéré par gitlab. Dans les merge request, cela permet de voir les différents problèmes de qualité de code.
En conclusion
Le but de ce dépôt n'est pas forcément d'être utilisé tel quel par d'autres personnes, le processus de déploiement n'est pas forcément compatible avec le votre ou celui de votre agence. Néanmoins, je pense qu'il y a des idées à piquer, ne serai-ce que dans le concept global ou dans des jobs en particulier.
Lors de la conférence de présentation, on m'a posé la question de l'avenir de ce projet. Je continue à le mettre en place sur mes projets, et à ajouter des fonctionnalités au fur et à mesure, je ne compte donc pas l'abandonner comme cela.
Je suis preneur de tout retour, idée, question !
Retrouvez :
- Le dépôt : https://gitlab.com/kgaut/gitlab-ci-templates
- La documentation : https://gitlab-ci-templates.kgaut.net/
- Les slides de ma présentation : https://docs.google.com/presentation/d/1i0FZDAzQDJAidGSiyxdFbDD7oeaVh7QKCknqgBJk5nU/
- Un projet de test qui utilise la pipeline : https://gitlab.com/kgaut/drupal.kgaut.xyz
Contenus en rapport
Les diapositives de la présentation : https://docs.google.com/presentation/d/1i0FZDAzQDJAidGSiyxdFbDD7oeaVh7Q…
Dépôt test / démo CI : https://gitlab.com/kgaut/drupal.kgaut.xyz
Commentaires
AI-powered crypto pump signals insight
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What are AI-powered crypto pump signals
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Conclusion
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AI-powered crypto pump signals insight
AI-powered crypto pump signals are advanced tools that utilize machine intelligence to predict sudden price movements in cryptocurrency markets. These signals are designed to help traders capitalize on rapid price surges, commonly known as "pumps," by providing timely and accurate trading recommendations.
What are AI-powered crypto pump signals
Crypto pump signals generated by AI are automated notifications that identify potential crypto assets set to experience sharp price increases. They rely on neural networks models trained on massive historical data including market trends, trading volumes, social media sentiment, and blockchain analytics.
How AI enhances pump signals
Artificial intelligence enables immediate processing of vast amounts of data, allowing these systems to detect price trends that might escape human observation. With sophisticated algorithms, AI can evaluate complex variables simultaneously, achieving higher accuracy and reducing false signals, which are common in traditional pump signals.
Benefits of using AI-powered crypto pump signals
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Risks and challenges
Despite their advantages, AI-powered crypto pump signals come with limitations. The cryptocurrency market’s inherent volatility can lead to unpredictable outcomes. Moreover, pump-and-dump schemes driven by groups can affect reliability. Traders should use AI signals as assistance alongside their own research and risk management strategies.
Conclusion
AI-powered crypto pump signals represent a cutting-edge fusion of technology and trading, offering traders a competitive edge in the fast-moving digital asset market. By leveraging artificial intelligence, users gain access to timely and precise trading alerts, helping to maximize profits while minimizing risk. However, cautious application and comprehensive strategies remain essential for success.
AI-powered crypto pump signals overview
AI-powered crypto pump signals are innovative tools that utilize machine intelligence to forecast sudden price movements in cryptocurrency markets. These alerts are designed to help traders capitalize on rapid price surges, commonly known as "pumps," by providing timely and accurate trading signals.
What are AI-powered crypto pump signals
Crypto pump signals generated by AI are computerized notifications that identify potential crypto assets set to experience sharp price increases. They rely on deep learning models trained on large datasets including market trends, trading volumes, social media sentiment, and blockchain analytics.
How AI enhances pump signals
Artificial intelligence enables instantaneous processing of vast amounts of data, allowing these systems to detect price trends that might escape human observation. With sophisticated algorithms, AI can analyze complex variables simultaneously, achieving higher accuracy and reducing false signals, which are common in traditional pump signals.
Benefits of using AI-powered crypto pump signals
- Superior timing with quicker reaction to market changes Altcoin pumps
- Higher accuracy in predicting price pumps
- Algorithm-based approach reducing emotional bias in trading
- Ability to scan multiple cryptocurrencies across various exchanges simultaneously
- Continuous tracking, ensuring no opportunity is missed
Risks and challenges
Despite their advantages, AI-powered crypto pump signals come with challenges. The cryptocurrency market’s inherent volatility can lead to unpredictable outcomes. Moreover, pump-and-dump schemes driven by groups can affect reliability. Traders should use AI signals as tools alongside their own research and risk management strategies.
Conclusion
AI-powered crypto pump signals represent a effective fusion of technology and trading, offering traders a competitive edge in the fast-moving digital asset market. By leveraging artificial intelligence, users gain access to quick and reliable trading alerts, helping to maximize profits while minimizing risk. However, cautious application and comprehensive strategies remain essential for success.
AI-powered crypto pump signals insight
AI-powered crypto pump signals are advanced tools that utilize machine intelligence to predict sudden price movements in cryptocurrency markets. These indicators are designed to help traders capitalize on rapid price surges, commonly known as "pumps," by providing timely and accurate trading signals.
What are AI-powered crypto pump signals
Crypto pump signals generated by AI are automated notifications that identify potential crypto assets set to experience sharp price increases. They rely on neural networks models trained on large datasets including market trends, trading volumes, social media sentiment, and blockchain analytics.
How AI enhances pump signals
Artificial intelligence enables immediate processing of vast amounts of data, allowing these systems to detect movement signals that might escape human observation. With sophisticated algorithms, AI can evaluate complex variables simultaneously, achieving higher accuracy and reducing false signals, which are common in traditional pump signals.
Benefits of using AI-powered crypto pump signals
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- Increased reliability in predicting price pumps
- Data-driven approach reducing emotional bias in trading
- Ability to track multiple cryptocurrencies across various exchanges simultaneously
- Continuous tracking, ensuring no opportunity is missed
Risks and challenges
Despite their advantages, AI-powered crypto pump signals come with limitations. The cryptocurrency market’s inherent volatility can lead to unpredictable outcomes. Moreover, pump-and-dump schemes driven by groups can affect reliability. Traders should use AI signals as tools alongside their own research and risk management strategies.
Conclusion
AI-powered crypto pump signals represent a cutting-edge fusion of technology and trading, offering traders a competitive edge in the fast-moving digital asset market. By leveraging artificial intelligence, users gain access to prompt and accurate trading alerts, helping to maximize profits while minimizing risk. However, cautious application and comprehensive strategies remain essential for success.
AI-powered crypto pump signals overview
AI-powered crypto pump signals are innovative tools that utilize AI technology to anticipate sudden price movements in cryptocurrency markets. These signals are designed to help traders capitalize on fast price surges, commonly known as "pumps," by providing timely and accurate trading tips.
What are AI-powered crypto pump signals
Crypto pump signals generated by AI are computerized notifications that identify potential crypto assets set to experience sharp price increases. They rely on neural networks models trained on large datasets including market trends, trading volumes, social media sentiment, and blockchain analytics.
How AI enhances pump signals
Artificial intelligence enables real-time processing of vast amounts of data, allowing these systems to detect price trends that might escape human observation. With sophisticated algorithms, AI can analyze complex variables simultaneously, achieving higher precision and reducing false signals, which are common in traditional pump signals.
Benefits of using AI-powered crypto pump signals
- Superior timing with quicker reaction to market changes Project upgrades signals
- Increased reliability in predicting price pumps
- Quantitative approach reducing emotional bias in trading
- Ability to scan multiple cryptocurrencies across various exchanges simultaneously
- Constant surveillance, ensuring no opportunity is missed
Risks and challenges
Despite their advantages, AI-powered crypto pump signals come with risks. The cryptocurrency market’s inherent volatility can lead to unpredictable outcomes. Moreover, pump-and-dump schemes driven by groups can affect reliability. Traders should use AI signals as assistance alongside their own research and risk management strategies.
Conclusion
AI-powered crypto pump signals represent a cutting-edge fusion of technology and trading, offering crypto enthusiasts a competitive edge in the fast-moving digital asset market. By leveraging artificial intelligence, users gain access to quick and precise trading alerts, helping to maximize profits while minimizing risk. However, cautious application and comprehensive strategies remain essential for success.
AI-powered crypto pump signals insight
AI-powered crypto pump signals are innovative tools that utilize machine intelligence to forecast sudden price movements in cryptocurrency markets. These indicators are designed to help traders capitalize on immediate price surges, commonly known as "pumps," by providing timely and accurate trading recommendations.
What are AI-powered crypto pump signals
Crypto pump signals generated by AI are computerized notifications that identify potential crypto assets set to experience sharp price increases. They rely on machine learning models trained on large datasets including market trends, trading volumes, social media sentiment, and blockchain analytics.
How AI enhances pump signals
Artificial intelligence enables immediate processing of vast amounts of data, allowing these systems to detect movement signals that might escape human observation. With sophisticated algorithms, AI can scrutinize complex variables simultaneously, achieving higher reliability and reducing false signals, which are common in traditional pump signals.
Benefits of using AI-powered crypto pump signals
- Superior timing with quicker reaction to market changes Bull markets trading
- Better precision in predicting price pumps
- Quantitative approach reducing emotional bias in trading
- Ability to track multiple cryptocurrencies across various exchanges simultaneously
- Continuous tracking, ensuring no opportunity is missed
Risks and challenges
Despite their advantages, AI-powered crypto pump signals come with challenges. The cryptocurrency market’s inherent volatility can lead to unpredictable outcomes. Moreover, pump-and-dump schemes driven by groups can affect reliability. Traders should use AI signals as tools alongside their own research and risk management strategies.
Conclusion
AI-powered crypto pump signals represent a cutting-edge fusion of technology and trading, offering traders a competitive edge in the fast-moving digital asset market. By leveraging artificial intelligence, users gain access to prompt and reliable trading alerts, helping to maximize profits while minimizing risk. However, cautious application and comprehensive strategies remain essential for success.
AI-powered crypto pump signals insight
AI-powered crypto pump signals are cutting-edge tools that utilize machine intelligence to forecast sudden price movements in cryptocurrency markets. These indicators are designed to help traders capitalize on fast price surges, commonly known as "pumps," by providing timely and accurate trading recommendations.
What are AI-powered crypto pump signals
Crypto pump signals generated by AI are computerized notifications that identify potential crypto assets set to experience sharp price increases. They rely on machine learning models trained on large datasets including market trends, trading volumes, social media sentiment, and blockchain analytics.
How AI enhances pump signals
Artificial intelligence enables instantaneous processing of vast amounts of data, allowing these systems to detect price trends that might escape human observation. With sophisticated algorithms, AI can scrutinize complex variables simultaneously, achieving higher precision and reducing false signals, which are common in traditional pump signals.
Benefits of using AI-powered crypto pump signals
- Superior timing with quicker reaction to market changes Analysis paralysis crypto
- Higher accuracy in predicting price pumps
- Algorithm-based approach reducing emotional bias in trading
- Ability to scan multiple cryptocurrencies across various exchanges simultaneously
- Constant surveillance, ensuring no opportunity is missed
Risks and challenges
Despite their advantages, AI-powered crypto pump signals come with risks. The cryptocurrency market’s inherent volatility can lead to unpredictable outcomes. Moreover, pump-and-dump schemes driven by groups can affect reliability. Traders should use AI signals as tools alongside their own research and risk management strategies.
Conclusion
AI-powered crypto pump signals represent a effective fusion of technology and trading, offering crypto enthusiasts a competitive edge in the fast-moving digital asset market. By leveraging artificial intelligence, users gain access to timely and accurate trading alerts, helping to maximize profits while minimizing risk. However, cautious application and comprehensive strategies remain essential for success.
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