#linux academy kubernetes

[cloudworldpune]

What are the Best DevOps Training Courses?

In today's fast-paced digital landscape, businesses are increasingly adopting DevOps practices to streamline their software development and operations processes. The DevOps methodology brings together development (Dev) and operations (Ops) teams to work collaboratively throughout the lifecycle of applications, ensuring faster and more efficient delivery of high-quality software online devops training in pune.

1. Coursera

DevOps Specialization by University of California, Davis

Covers DevOps principles, CI/CD, and automation.

Hands-on projects and a capstone project.

2. edX

DevOps MicroMasters Program by Boston University

Focuses on DevOps practices, Agile methodologies, and cloud technologies.

Comprehensive and includes a final capstone project.

3. Udacity

Cloud DevOps Engineer Nanodegree

Emphasizes deploying applications on cloud platforms.

Hands-on projects with real-world scenarios.

4. Pluralsight

DevOps Path

A series of courses covering tools like Docker, Kubernetes, and CI/CD pipelines.

Tailored for different skill levels from beginner to advanced.

5. LinkedIn Learning

Become a DevOps Engineer Learning Path

A curated set of courses focusing on DevOps tools and practices.

Includes practical examples and projects.

6. Linux Academy (now part of A Cloud Guru)

DevOps Courses

Offers a range of courses on specific tools like Terraform, Ansible, and Jenkins.

Hands-on labs to practice skills.

7. AWS Training and Certification

DevOps Engineering on AWS

Focuses on AWS services and tools for DevOps.

Includes best practices for building and managing applications.

8. Google Cloud Training

Professional DevOps Engineer Certification

Prepares you for the Google Cloud certification exam.

Covers CI/CD, monitoring, and incident management on Google Cloud.

9. HashiCorp Learn

Free Tutorials on Terraform, Vault, and more

Great for hands-on learning with HashiCorp tools.

Self-paced and project-based.

10. Kubernetes Official Training

Kubernetes Fundamentals

Offers in-depth knowledge of Kubernetes, a key tool in DevOps.

Available through various providers like the Linux Foundation.

Considerations for Choosing a Course:

Skill Level: Choose based on your current knowledge (beginner, intermediate, advanced).

Specific Tools/Technologies: Focus on courses that cover tools you want to learn (e.g., Docker, Kubernetes, Jenkins).

Hands-On Practice: Look for courses with practical projects and labs.

Certification: If certification is important, consider courses that prepare for industry-recognized exams.

Conclusion

DevOps is more than just a buzzword — it’s a set of principles and practices that can radically transform software development and IT operations. Whether you're just starting your journey or are a seasoned professional looking to upgrade your skills, there’s a training course that fits your needs.

Courses like those offered by Coursera, Udacity, and AWS are excellent options for anyone looking to dive into DevOps, while specialized programs from Docker and Google Cloud are perfect for professionals looking to specialize in specific areas. No matter which course you choose, investing in DevOps training is a wise step to take as the demand for these skills is only growing.online devops training in pune,devops training in pune,devops classes in pune,devops course in pune,best devops classes in pune,aws devops classes in pune,best devops training institute in pune,devops classes in pune with placement

Happy learning, and here's to your success in the exciting world of DevOps!

[shinchain]

Shape Your Career with ProLEAP's Summer Internship Program | Virtualization, Linux, Java, Python, Docker, Kubernetes, AWS & Soft Skills Training

Join ProLEAP Academy's comprehensive Summer Internship Program for a transformative 6-month journey in Virtualization, Linux, Java, Python, Docker, Kubernetes, AWS, and essential soft skills. Engage in live projects, receive personalized job placement assistance, and elevate your career prospects with hands-on learning and interview training. Register now and unlock unparalleled career opportunities.

[kirito-1011]

Learn Difference Between Sourcing and Forking in Bash

Learn Difference Between Sourcing and Forking in Bash

The main focus of this article is to clearly understand what happens when you run the script vs source the script in bash. First, we will clearly understand how the program is submitted when you call the script in different ways. NOTE: creating the script with an extension doesn’t matter. Script will run fine even without extensions. Basically, every script starts with a line called a…

[dataplusweb-blog]

Dataiku : tout savoir sur la plateforme d'IA "made in France"

Dataiku :

tout savoir sur la plateforme d'IA "made in France"

Antoine Crochet-Damais

JDN

 

Dataiku est une plateforme d'intelligence artificielle créée en France en 2013. Elle s'est imposée depuis parmi les références mondiales des studios de data science et de machine learning.

SOMMAIRE

Dataiku, c’est quoi ?

Dataiku DSS, qu'est-ce que c'est ?

Quelles sont les fonctionnalités de Dataiku ?

Quel est le prix de Dataiku ?

Qu’est-ce que Dataiku Online ?

Dataiku Academy : formation / certification

Dataiku vs DataRobot

Dataiku vs Alteryx

Dataiku vs Databricks

Dataiku Community

Dataiku, c’est quoi ?

Dataiku est une plateforme de data science d'origine française. Elle se démarque historiquement par son caractère très packagé et intégré. Ce qui la met à la portée aussi bien des data scientists confirmés que débutants. Grâce à son ergonomie, elle permet de créer un modèle en quelques clics, tout en industrialisant en toile de fonds l'ensemble de la chaine de traitement : collecte, préparation des données…

Co-fondée en 2013 à Paris par Florian Douetteau, son CEO actuel, et Clément Stenac (tous deux anciens d'Exalead) aux côtés de Thomas Cabrol et Marc Batty, Dataiku affiche une croissance fulgurante. Dès 2015, la société s'implante aux Etats-Unis. Après une levée de 101 millions de dollars en 2018, Dataiku boucle un tour de table de 400 millions de dollars en 2021 pour une valorisation de 4,6 milliards de dollars. L'entreprise compte plus de 1000 salariés et plus de 300 clients parmi les plus grands groupes mondiaux. Parmi eux figurent les sociétés françaises Accor, BNP Paribas, Engie ou encore SNCF.

Dataiku DSS, qu'est-ce que c'est ?

Dataiku DSS (pour Dataiku Data Science Studio) est le nom de la plateforme d'IA de Dataiku.

Quelles sont les fonctionnalités de Dataiku ?

La plateforme de Dataiku compte environ 90 fonctionnalités que l'on peut regrouper en plusieurs grands domaines :

L'intégration. La plateforme s'intègre à Hadoop, Spark, mais aussi aux services des clouds AWS, Azure, Google Cloud. Au total, la plateforme est équipée de plus de 25 connecteurs. 

Les plugins. Une galerie de plus de 100 plugins permet de bénéficier d'applications tierces dans de nombreux domaines : traduction, NLG, météo, moteur de recommandation, import/export de données...

La data préparation / data ops. Une console graphique gère la préparation des données. Les time series et données géospatiales sont supportées. Plus de 90 data transformers prépackagés sont disponibles. 

Le développement. Dataiku prend en charge les notebooks Jupyter, les langages Python, R, Scala, SQL, Hive, Pig, Impala. Il supporte PySpark, SparkR et SparkSQL.

Le machine Learning. La plateforme inclut un moteur d'automatisation du machine learning (auto ML), une console de visualisation pour l'entrainement des réseaux de neurones profonds, le support de Scikit-learn et XGBoost, etc.

La collaboration. Dataiku intègre des fonctionnalités de gestion de projet, de chat, de wiki, de versioning (via Git)...

La gouvernance. La plateforme propose une console de monitoring des modèles, d'audit, ainsi qu'un feature store.

Le MLOps. Dataiku gère le déploiement de modèles. Il prend en charge les architecture Kubernetes mais aussi les offres de Kubernetes as a Service d'AWS, Azure et Google Cloud.

La data visualisation. Une interface de visualisation statistique est complétée par 25 graphiques de data visualisation pour identifier les relations et aperçus au sein des jeux de données.

Dataiku est conçu pour gérer graphiquement des pipelines de machine learning. © JDN / Capture

Quel est le prix de Dataiku ?

Dataiku propose une édition gratuite de sa plateforme à installer soi-même. Baptisée Dataiku Free, elle se limite à trois utilisateurs, mais donne accès à la majorité des fonctionnalités. Elle est disponible pour Windows, Linux, MacOS, Amazon EC2, Google Cloud et Microsoft Azure. 

Pour aller plus loin, Dataiku commercialise trois éditions dont les prix sont disponibles sur demande : Dataiku Discover pour les petites équipes, Dataiku Business pour les équipes de taille moyenne, et Dataiku Enterprise pour déployer la plateforme à l'échelle d'une grande entreprise.

Qu’est-ce que Dataiku Online ?

Principalement conçu pour de petites structures, Dataiku Online permet de gérer les projets de data science à une échelle modérée. Il s’agit d’un dispositif de type SaaS (Software as a Service). Les fonctionnalités sont similaires à Dataiku, mais le paramétrage et le lancement de l’application sont plus rapides.

Dataiku Academy : formation et certification Dataiku

La Dataiku Academy regroupe une série de formations en ligne à la plateforme de Dataiku. Elle propose un programme Quicks Start qui permet de commencer à utiliser la solution en quelques heures, mais aussi des sessions Learning Paths pour acquérir des compétences plus avancées. Chaque programme permet de décrocher une certification Dataiku : Core Designer Certificate, ML Practitioner Certificate, Advanced Designer Certificate, Developer Certificate et MLOps Practitioner Certificate.

Dataiku prend en charge les time series et données géospatiales. © JDN / Capture

Dataiku vs DataRobot

Créé en 2012, l'américain DataRobot peut être considéré comme le pure player historique du machine learning automatisé (auto ML). Un terrain sur lequel Dataiku s'est positionne plus tard. Au fur et à mesure de leur développement, les deux plateformes tendent désormais à être de plus en plus comparables.

Face à DataRobot, Dataiku se distingue cependant sur le front de la collaboration. L'éditeur multiplie les fonctionnalités dans ce domaine : wiki, partage de tableaux de bord de résultats, système de gestion des rôles et de traçabilité des actions, etc.

Dataiku vs Alteryx

Alors que Dataiku est avant tout une plateforme de data science orientée machine learning, Alteryx, lui, se positionne comme un solution d'intelligence décisionnelle ciblant potentiellement tout décideur d'entreprise, bien au-delà des équipes de data science.

La principale valeur ajoutée d'Alteryx est d'automatiser la création de tableaux de bord analytics. Des tableaux de bord qui pourront inclure des indicateurs prédictifs basés sur des modèles de machine learning. Dans cet optique, Alteryx intègre des fonctionnalités de machine learning automatisé (auto ML) pour permettre aux utilisateurs de générer ce type d'indicateur. C'est son principal point commun avec Dataiku.

Dataiku vs Databricks

Dataiku et Databricks sont des plateformes très différentes. La première s'oriente vers la data science, la conception et le déploiement de modèles de machine learning. La seconde se présente sous la forme d'une data platform universelle répondant à la fois aux cas d'usage orientés entrepôt de données et BI, data lake, mais aussi streaming de données et calcul distribué.

Reste que Databricks s'enrichit de plus en plus de fonctionnalités orientées machine learning. La société de San Francisco a acquis l'environnement de data science low-code / no code 8080 Labs en octobre 2021, puis la plateforme de MLOps Cortex Labs en avril 2022. Deux technologies qu'elle est en train d'intégrer. 

Dataiku Community : tutoriels et documentation

Dataiku Community est un espace d'échange et de documentation pour parfaire ses connaissances sur Dataiku et ses champs d'application. Après inscription, il est possible d'intégrer le forum de discussions.

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[faizan0702]

Attention Students…

STILL didn't get job In IT So Don't Worry Codare Academy is #withyou. #your_career_our_responsibility AWS DEVOPS From Scratch New Batch Starting form Monday Don't Miss this #GoldenOpportunity #EnrollNow!

On 03/05/2023 For Free Demo session Link is below https://forms.gle/ZYT5e7XkyPx8riAB9 IT Institute in pune Codare Academy. #Students_trust_our_straight Codare Academy IT Education Centre gives you the best training and 100% Placement Guarantee

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[wolfmatrix]

Top 10 Staff Augmentation Companies ( 2020 )

Staff enhancement is quickly trending at the IT job market, bringing more organizations and companies to hire skilled people liberally on a contract basis across the world.  So we have listed down some of those well-known staff augmentation companies across the world through comprehensive research.

In this article, we've compiled this list of the top 10 staff augmentation and dedicated teams companies for you to find the best partner.

Science Soft

Launched in 1989 as a AI product company, Science soft is an established consulting and applications development support.  With 17+ years of experience in IT Consulting, IT Support Services, and IT Outsourcing, it's spread over different countries across Europe and North America and now employs 700+ employees.  

In the previous two years alone, Science soft has more than five awards and certificates.  In 2019, PECB given them the ISO 13485:2016 certificate.  In 2020, it got featured in IAOP Global Outsourcing 100 Award Listed 2020 and acquired Gold Microsoft Competency in Application Integration.

Clients: IBM, eBay, Baxter, Rakuten Viber, Walmart

Employees: 750+

Headquarter: McKinney, TX, US

Founded: 1989

Wolfmatrix 

Wolfmatrix is a software development firm established in Nepal to make every business better by understanding its own requirement and supplying a custom system or technical alternative and partnership.

Wolfmatrix was set in 2014 by 2 young tech fans using the motto'Idea to Implementation.'  Our leaders have years of experience in software development and have excellent management skills.

Wolfmatrix is guided by the worthiness to provide superior service within the budget and estimated period, irrespective of the complexity of the job's requirement.  Wolfmatrix development team concentrates on satisfying your business need to assist you succeed.

Noris

Choosing the right IT service provider is, first of all, a question of trust.  But this trust must be worked hard every day .  With reliability, quality, functionality, adherence to deadlines, security, and partnership-based cooperation -- these are the features on which they cover the maximum excellent attention.  As an online service provider by the very start, they're the right partner for you.  Their services include pure colocation of your systems through managed cloud and services services into the complete outsourcing of your setups, software programs, and business processes.  As an IT service provider with over 25 years of expertise, they know what is vital in your company.

IT Certificates

• ISO 20000-1

• ISAE 3402

• ISO 14001

• ISO/IEC 27001

Awards

• Bavaria's Best 50

• Service Provider Award 2020

• Linux Professional Institute Certification (LPIC)

• Bavarian Creator Award 2019

Cleveroad

Being on the marketplace since 2011, they've been able to obtain the confidence and respect of their clients.  Long-term relationships and happy clients have consistently been their primary goals.

Company Values

Transparency: At Cleveroad, they believe that honesty with clients, partners, and employees is a basic step to creating great products.

Flexibility: Their staff quickly responds to new demands and changes because of the complex development process without any bureaucracy.

Quality: They control product quality in any way levels because of amassing input requirements and defining a sensible work scope from the early phase.

Professionalism: Their software engineering teams consist of high-qualified and certified developers with domain experience across industries.

Industry Recognition

IAOP Professional Member

Top 1000 B2B Providers, Global 2019

Top B2B Service Providers, UK

Best App Developers, International 2019

Unosquare

Unosquare, at its heart, has a mission-driven by three guiding purposes for each person That's part of the company:

Personal

Basically, Who made the agile software development firm with an understanding that, at our core, they're no more than a bunch of people pushing their bounds to do the best work they have ever done.  A right working environment is a secret to that creativity, cooperation, and, ultimately, success.

Professional

They strive to create an environment where their employees may enjoy the cultural foundation and individual relationships built during their team's time.  They also want to collaborate in projects that challenge their own technical abilities which have a complexity level that pushes the person's professional development as well as the team entrepreneurship and autodidactic behavior.

Social

Unosquare is here in order to make a heritage.  They commit to generating well-being in every geography they have a presence in.  Their organization was blessed with the chance to substantially affect the ethos in which we continue to develop the company.  They believe in a worldwide effort toward equality of opportunity.

Business size

501-1000 workers 

Headquarters

Lake Oswego, Oregon

Launched: 2009

Specialties

Staff Augmentation, QA and Testing, Java, Program Support and Maintenance, Cloud Computing, Mobile Application Development, Project Management, Nearshore Services, .NET, PHP, NodeJS, AngularJS, HTML5, Gamification, C#, Open Source Software, and Javascript.

ELEKS

ELEKS is your partner of choice for many of the world's leading enterprises, SMEs, and engineering challenges.  They assist businesses elevate their value through custom software development, product design, and QA and consultancy providers.

What's Different about ELEKS?

Engineering with fire: They're a community of innovators.  They devise bold solutions to the most complex client challenges.  They could research new technologies to design best-fit services with 96% of their customers ready to advocate them.

Performance focus: They become your loyal partner, which means they won't complete a job until both they and you're 100% happy.  With a customer satisfaction rate of over 97 percent, they're regarded as a key strategic technology partner.

Dedication to success: They push innovations that help their clients stay ahead of this curve.  They care about your immediate requirements and your long-term goals.  They believe that success is three-fold: to their clients, customers' customers, as well as the communities they affect.

Specialties

Data Science, Mobility, Quality Assurance, and Testing, R&D, Technology Consulting, Blockchain, Artificial Intelligence, Product Design, Security Services, DevOps, Cloud, Big Data & Analytics, Internet of Things, Machine Learning, Software Development, Logistics, Fintech, Retail, Agriculture, and Healthtech.

Innovex

Inovex is an IT job centre driven by innovation and quality, focusing its'Digital Transformation' services.  Their IT experts give comprehensive support to companies to generate their core business digitized and nimble and execute new digital use cases.

They update existing solutions (Replatforming), strengthen systems against external attacks (Security), and share their knowledge through Training and Coaching (inovex Academy).

Innovex's Software Solutions

Application Development (Web Platforms, Mobile Apps, Smart Devices and Robotics -- from UI/UX design to Backend Services)

Locations

Karlsruhe, Pforzheim, Stuttgart, Munich, Cologne, and Hamburg

Employees: 370+

Contact: Tel. +49 721 619 021-0

Fax +49 721 619 021-11

Mail:info@inovex.de

Altoros

Alto's mission is to allow businesses to shift from legacy IT to the future.  Relying on the latest technology like blockchain, artificial intelligence, and Cloud Foundry helps businesses build and execute readily scalable enterprise-grade solutions.

Core Expertise

Cloud Foundry Service, Cloud Transformation Service, Kubernetes Implementation, Blockchain Development Service, AI Development Services, Machine Learning Services.

Projects Implemented: 1400+

Satisfied Clients: 600+

Global Institutions: 5

CIS

Since its beginning, Cyber Infrastructure's vision and passion have been"strengthening the achievement of their customers and partners via our highly innovative IT solutions while improving the quality of life for their workforce and society."  Being a top-notch Custom software development company, their solutions are designed to take your company to the next level, reducing the gap between you and the peaks of success you wish to achieve.

Their core solutions include Artificial Intelligence, Blockchain Development, Augmented and Virtual Reality, Internet of Things, Robotic Process Automation, Web Development, Branding and marketing, QA service, Microsoft Development, UI/UX Design, Game Development, Mobile Development, Cloud Solutions, and a Lot More.

Achievements

Microsoft Gold Certified

CMMIDEV/5

CMMISVC/5

ISO/IEC 27001:2013

ISO 9000:2015

IT Professionals: 1000+

Satisfied Customers: 3000+

Global Institutions: 4

SCAND

SCAN provides custom software development and IT outsourcing solutions across multiple technology, such as .NET, Java, PHP, JavaScript, C/C++, and a lot more.  With the ideal partner and the ideal technologies, you can embrace the future with confidence.

SCAND helps companies reduce their applications development and related expenses and speed-up their software products' entry into the marketplace.  SCAND is one of the top IT outsourcing firms in Eastern Europe, supplying a complete software development cycle.

Experience 

Contact

DACH: +49 212-880-79797

Email: contact@scand.com

Final Thought

Staff augmentation is the ideal option if you want to rapidly scale your staff or add specific skillsets to your group.  A significant advantage of the Staff Augmentation model is that it leverages existing resources and uses outsourced services and contract workers.  Flexibility, transparency, and cost savings are substantial advantages of strengthening staff.

Before choosing the outsourcing partner, be certain that you conduct extensive market research to locate the best-suited firm.  With several years of experience in personnel augmentation, Wolf Matrix skilled teams are always ready to help you construct a fantastic group for you.  If you want to work with us, then use the contact form to get in contact.

[adaz3d]

Kubernetes Security (Advanced Concepts)

Kubernetes Security (Advanced Concepts) | Linux Academy English | Size: 433.70 MB Genre: eLearning

source https://www.adaz3d.com/tutorial/other/6793-kubernetes-security-advanced-concepts.html

[phungthaihy]

Introduction to Cybersecurity-Part-00 (Course overview) http://ehelpdesk.tk/wp-content/uploads/2020/02/logo-header.png [ad_1] Introduction to Cybersecurity-Pa... #academy #awscertification #awscertifiedcloudpractitioner #awscertifieddeveloper #awscertifiedsolutionsarchitect #awscertifiedsysopsadministrator #cisco #ciscoccna #comptiaa #comptianetwork #comptiasecurity #cybersecurity #ethicalhacking #it #kubernetes #linux #microsoftaz-900 #microsoftazure #networksecurity #networking #software #windowsserver

[savetopnow]

2018-04-05 21 LINUX now

LINUX

Linux Academy Blog

Announcing Google App Engine Deep Dive

Employee Spotlight: Favian Ramirez, Business Development Representative

Say hello to our new Practice Exams system!

Announcing Google Cloud Security Essentials

Month of Success – March 2018

Linux Insider

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Caption This

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Solomon Hykes Leaves Docker

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[shinchain]

Comprehensive Summer Internship Program | ProLEAP Academy

Join ProLEAP Academy's immersive Summer Internship Program and master Java, Python, AWS, Docker, Kubernetes, Linux, and more. Gain hands-on experience, personalized job placement assistance, and enhance your career prospects with our extensive industry network. Embark on your transformative tech journey today!

[awsexchage]

Google Kubernetes EngineでUnity ML-Agentsを動かしてみる(V0.5.0対応) https://ift.tt/2IQsoRd

概要

Unity ML-AgentsはDockerでも動作させることができるので、Google Kubernetes Engine(GKE)でも動作させることができるはず！と検証してみました。

Google Kubernetes Engineについては下記をご参考ください。

Google KUBERNETES ENGINE https://cloud.google.com/kubernetes-engine/?hl=ja

Unity ML-Agentsについては下記をご参考ください。

MacでUnity ML-Agentsの環境を構築する(v0.5.0対応) https://qiita.com/kai_kou/items/6478fa686ce1af5939d8

DockerでUnity ML-Agentsを動作させる(v0.5.0対応) https://qiita.com/kai_kou/items/df3f3518a5a27b66f617

準備

下記記事を参考に進めました。

GKEを使ったバッチジョブ実行 http://otiai10.hatenablog.com/entry/2017/12/19/162430

Dockerのインストールは済んでいる前提です。

今回の手順で利用したのはMacでDockerバージョンは以下となります。

> docker --version Docker version 18.06.1-ce, build e68fc7a

gcloud (Cloud SDK)のインストールがまだの場合、下記をご参考ください。 https://cloud.google.com/sdk/downloads?hl=ja

kubectl のインストールと初期化は下記をご参考ください https://cloud.google.com/kubernetes-engine/docs/quickstart

kubectl コマンドはDockerアプリでKubernetesが有効化するとコマンドが有効化されるようです。

GCPの設定については、上記記事の[gcloud のデフォルト設定を構成する]まで進めている前提です。

Unity ML-Agentsのダウンロード

Unity ML-Agentsのソースを取得します。

> mkdir 任意のディレクトリ > cd 任意のディレクトリ > git clone https://github.com/Unity-Technologies/ml-agents.git

Dockerイメージの用意

Unity ML-Agentsに含まれているDockerfileを利用してDockerイメージを作成します。

今回は、強化学習させるUnityアプリをイメージに含めてしまいます。 本来であれば、Unityアプリやハイパーパラメータファイルはコンテナ作成時にCloud Storageなどから取ってくるべきですが、検証のため割愛します。

Unityアプリのビルドについては下記記事をご参考ください。

DockerでUnity ML-Agentsを動作させる(v0.5.0対応) https://qiita.com/kai_kou/items/df3f3518a5a27b66f617

> cd ml-agents > ls ml-agents/ 3DBall.x86_64 README.md requirements.txt tests 3DBall_Data mlagents setup.py trainer_config.yaml

3DBall.x86_64 と3DBall_Data がLinuxビルドしたUnityアプリ、trainer_config.yaml がハイパーパラメータファイルとなります。

Unityアプリとハイパーパラメータファイルが準備できたら、イメージを作成します。

> docker build -t unity_ml_agents_on_gke .

イメージは、GKEで利用できるように、Google Container RegistryにPUSHします。

プライベートDocker RegistryをGoogle Container Registry で構築 https://qiita.com/zum/items/1904ccd280879ca481c5

PUSHするために、タグを指定します。

> docker tag unity_ml_agents_on_gke:latest gcr.io/[GCPのプロジェクトID]/unity_ml_agents_on_gke

タグが指定できたか確認しておきます。

> docker images REPOSITORY TAG IMAGE ID CREATEDSIZE gcr.io/[GCPのプロジェクトID]/unity_ml_agents_on_gke latest fd69fd69de11 8 days ago904MB

Google Container RegistryにPUSHします。

> gcloud docker -- push gcr.io/[GCPのプロジェクトID]/unity_ml_agents_on_gke (略) latest: digest: sha256:xxxxxx size: 3044

はい。 これで、GKEから利用できるDockerイメージの準備ができました。

コンテナクラスタを作成する

続いて、GKEでコンテナクラスタを作成します。

> gcloud container clusters create unity-ml-agents-on-gke

unity-ml-agents-on-gke はクラスタ名となりますので、任意の名称でOKです。

クラスタが作成できたら、ローカル環境から利用できるように、credentialsをfetchします。

> gcloud container clusters list NAME LOCATION MASTER_VERSION MASTER_IP MACHINE_TYPE NODE_VERSION NUM_NODES STATUS unity-ml-agents-on-gke asia-northeast1-a 1.9.7-gke.6 xxx.xxx.xxx.xxx n1-standard-1 1.9.7-gke.6 3 RUNNING

xxx.xxx.xxx.xxx はIPアドレスになります。

Unity ML-Agentsで強化学習を実行する

Unity ML-Agentsで強化学習を実行するために作成したクラスタコンテナでジョブ実行します。

> touch job.yaml

job.yaml

apiVersion: batch/v1 kind: Job metadata: name: unity-ml-agents-on-gke-01 spec: template: spec: containers: - name: unity-ml-agents-on-gke image: gcr.io/[GCPのプロジェクトID]/unity_ml_agents_on_gke:latest command: ["mlagents-learn", "trainer_config.yaml", "--env", "3DBall", "--train"] restartPolicy: OnFailure

metadata.name はジョブ名になります。重複しているとエラーになるので、複数回実行する場合には名前を変更します。 containers.name にはクラスタ名を指定します。

ジョブ実行してみます。

> kubectl create -f job.yaml job.batch "unity-ml-agents-on-gke-01" created

登録できたら、ジョブ情報を見てみます。

> kubectl describe jobs/unity-ml-agents-on-gke-01 Name: unity-ml-agents-on-gke-01 Namespace: default Selector: controller-uid=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx Labels: controller-uid=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx job-name=unity-ml-agents-on-gke-01 Annotations: <none> Parallelism: 1 Completions: 1 Start Time: Fri, 21 Sep 2018 14:57:02 +0900 Pods Statuses: 1 Running / 0 Succeeded / 0 Failed Pod Template: Labels: controller-uid=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx job-name=unity-ml-agents-on-gke-01 Containers: unity-ml-agents-on-gke: Image: gcr.io/[GCPのプロジェクトID]/unity_ml_agents_on_gke:latest Port: <none> Host Port: <none> Command: mlagents-learn trainer_config.yaml --env 3DBall --train Environment: <none> Mounts: <none> Volumes: <none> Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal SuccessfulCreate 6s job-controller Created pod: unity-ml-agents-on-gke-01-c9fvg

> kubectl logs jobs/unity-ml-agents-on-gke-04 INFO:mlagents.trainers:{'--curriculum': 'None', '--docker-target-name': 'None', '--env': '3DBall', '--help': False, '--keep-checkpoints': '5', '--lesson': '0', '--load': False, '--no-graphics': False, '--num-runs': '1', '--run-id': 'ppo', '--save-freq': '50000', '--seed': '-1', '--slow': False, '--train': True, '--worker-id': '0', '<trainer-config-path>': 'trainer_config.yaml'} ▄▄▄▓▓▓▓ ╓▓▓▓▓▓▓█▓▓▓▓▓ ,▄▄▄m▀▀▀' ,▓▓▓▀▓▓▄ ▓▓▓ ▓▓▌ ▄▓▓▓▀' ▄▓▓▀ ▓▓▓ ▄▄ ▄▄ ,▄▄ ▄▄▄▄ ,▄▄ ▄▓▓▌▄ ▄▄▄ ,▄▄ ▄▓▓▓▀ ▄▓▓▀ ▐▓▓▌ ▓▓▌ ▐▓▓ ▐▓▓▓▀▀▀▓▓▌ ▓▓▓ ▀▓▓▌▀ ^▓▓▌ ╒▓▓▌ ▄▓▓▓▓▓▄▄▄▄▄▄▄▄▓▓▓ ▓▀ ▓▓▌ ▐▓▓ ▐▓▓ ▓▓▓ ▓▓▓ ▓▓▌ ▐▓▓▄ ▓▓▌ ▀▓▓▓▓▀▀▀▀▀▀▀▀▀▀▓▓▄ ▓▓ ▓▓▌ ▐▓▓ ��▓▓ ▓▓▓ ▓▓▓ ▓▓▌ ▐▓▓▐▓▓ ^█▓▓▓ ▀▓▓▄ ▐▓▓▌ ▓▓▓▓▄▓▓▓▓ ▐▓▓ ▓▓▓ ▓▓▓ ▓▓▓▄ ▓▓▓▓` '▀▓▓▓▄ ^▓▓▓ ▓▓▓ └▀▀▀▀ ▀▀ ^▀▀ `▀▀ `▀▀ '▀▀ ▐▓▓▌ ▀▀▀▀▓▄▄▄ ▓▓▓▓▓▓, ▓▓▓▓▀ `▀█▓▓▓▓▓▓▓▓▓▌ ¬`▀▀▀█▓ Found path: /ml-agents/3DBall.x86_64 Mono path[0] = '/ml-agents/3DBall_Data/Managed' Mono config path = '/ml-agents/3DBall_Data/MonoBleedingEdge/etc' Preloaded 'libgrpc_csharp_ext.x64.so' Preloaded 'liblibtensorflow.so' Preloaded 'libtensorflow_framework.so' PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies/Unity Environment Logging to /root/.config/unity3d/Unity Technologies/Unity Environment/Player.log INFO:mlagents.envs: 'Ball3DAcademy' started successfully! Unity Academy name: Ball3DAcademy Number of Brains: 1 Number of External Brains : 1 Reset Parameters : Unity brain name: Ball3DBrain Number of Visual Observations (per agent): 0 Vector Observation space size (per agent): 8 Number of stacked Vector Observation: 1 Vector Action space type: continuous Vector Action space size (per agent): [2] Vector Action descriptions: , 2018-09-21 05:57:10.516154: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA INFO:mlagents.envs:Hyperparameters for the PPO Trainer of brain Ball3DBrain: batch_size: 64 beta: 0.001 buffer_size: 12000 epsilon: 0.2 gamma: 0.995 hidden_units: 128 lambd: 0.99 learning_rate: 0.0003 max_steps: 5.0e4 normalize: True num_epoch: 3 num_layers: 2 time_horizon: 1000 sequence_length: 64 summary_freq: 1000 use_recurrent: False graph_scope: summary_path: ./summaries/ppo-0 memory_size: 256 use_curiosity: False curiosity_strength: 0.01 curiosity_enc_size: 128 INFO:mlagents.trainers: ppo-0: Ball3DBrain: Step: 1000. Mean Reward: 1.201. Std of Reward: 0.662. Training. INFO:mlagents.trainers: ppo-0: Ball3DBrain: Step: 2000. Mean Reward: 1.406. Std of Reward: 0.790. Training. INFO:mlagents.trainers: ppo-0: Ball3DBrain: Step: 3000. Mean Reward: 1.618. Std of Reward: 1.028. Training. INFO:mlagents.trainers: ppo-0: Ball3DBrain: Step: 4000. Mean Reward: 2.217. Std of Reward: 1.516. Training. INFO:mlagents.trainers: ppo-0: Ball3DBrain: Step: 5000. Mean Reward: 3.195. Std of Reward: 2.365. Training. INFO:mlagents.trainers: ppo-0: Ball3DBrain: Step: 6000. Mean Reward: 4.861. Std of Reward: 3.957. Training. INFO:mlagents.trainers: ppo-0: Ball3DBrain: Step: 7000. Mean Reward: 8.058. Std of Reward: 7.471. Training. INFO:mlagents.trainers: ppo-0: Ball3DBrain: Step: 8000. Mean Reward: 12.446. Std of Reward: 11.199. Training. INFO:mlagents.trainers: ppo-0: Ball3DBrain: Step: 9000. Mean Reward: 17.426. Std of Reward: 18.031. Training. (略)

はい。無事にML-Agentsで強化学習がされました。

このままだと、UnityアプリやハイパーパラメータファイルをDockerイメージに含めてしまっているので、使い勝手が悪いため、ジョブ実行時にCloud Storageから取得したり、学習結果ファイルをCloud Storageなどへ対比させるスクリプトを書く必要がありますが、思っていたより簡単に実行することができました。

参考

Google KUBERNETES ENGINE https://cloud.google.com/kubernetes-engine/?hl=ja

Unity ML-Agentsについては下記をご参考ください。

MacでUnity ML-Agentsの環境を構築する(v0.5.0対応) https://qiita.com/kai_kou/items/6478fa686ce1af5939d8

DockerでUnity ML-Agentsを動作させる(v0.5.0対応) https://qiita.com/kai_kou/items/df3f3518a5a27b66f617

GKEを使ったバッチジョブ実行 http://otiai10.hatenablog.com/entry/2017/12/19/162430

Kubernetes Engineのクイックスタート https://cloud.google.com/kubernetes-engine/docs/quickstart

Unity ML-Agents関連の記事まとめ https://cloudpack.media/43480

元記事はこちら

「Google Kubernetes EngineでUnity ML-Agentsを動かしてみる(V0.5.0対応)」

October 11, 2018 at 04:00PM

[kirito-1011]

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