Bydgoszcz

sale szkoleniowe NobleProg, ul. Dworcowa 94, Bydgoszcz, poland, 85-010
Sala szkoleniowa znajduje się przy ul. Dworcowej 94 w Bydgoszczy

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Fn Project

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Serverless on Kubernetes Fundamentals

21 godzin
Serverless is a DevOps architecture that allows the creation and deployment of highly-scalable enterprise applications without the provisioning of any server. Kubernetes is an open-source platform for building container-based and cloud-native projects. A serverless framework can be integrated with Kubernetes to provide the automated hosting infrastructure necessary to run CaaS and FaaS implementations. This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in Kubernetes. By the end of this training, participants will be able to:
  • Setup and configure the Kubernetes system to start developing with a serverless architecture.
  • Understand the concepts and principles foundational to serverless environments.
  • Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
  • Practice their skill in Python programming language and apply it to implement  serverless systems.
  • Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
  • Utilize modern cloud computing methods in optimizing DevOps task processing workflows.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Serverless Framework for Developers

14 godzin
The Serverless Framework is a web framework for building applications on serverless computing platforms such as AWS Lambda, Azure Functions, IBM Cloud Functions, Google Cloud Functions, etc. This instructor-led, live training (online or onsite) is aimed at developers who wish to use Serverless Framework on AWS and other cloud platforms to create and deploy microservice applications. By the end of this training, participants will be able to:
  • Set up Serverless Framework to work with compute services such as AWS Lambda.
  • Reduce the complexity and cost of deploying microservices on different cloud platforms.
  • Emit and capture events and execute functions automatically.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options 
  • Sample applications and functions can written in a number of languages (Python, Java, Scala, C#, etc.), please contact us to request your preference.
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about Serverless Framework, please visit: https://github.com/serverless/serverless
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Fn Project

7 godzin
Fn Project is an open-source, serverless platform that can run on any cloud or in-house environment. Fn can be hosted in various Docker-supported platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. This instructor-led, live training (online or onsite) is aimed at programmers and developers who wish to use Fn in creating serverless applications and services. By the end of this training, participants will be able to:
  • Set up Fn to create directories and functions.
  • Create applications using different programming languages.
  • Monitor functions to resolve issues at the development and deployment stages.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Opinie uczestników (1)

The manual serverless setup. Also, I had no Idea sls web console exits, which is nice.

Rafał Kucharski - The Software House sp. z o.o.
Szkolenie - Serverless Framework for Developers

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