Serverless Computing for Administrators - Plan Szkolenia

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.

OpenMP (Open Multi-Processing) is an API for shared memory multiprocessing programming. With OpenMP, programmers are able to develop parallel applications for platforms from desktops to non-shared memory systems.

This instructor-led, live training (online or onsite) is aimed at software engineers who wish to develop parallel applications using OpenMP.

By the end of this training, participants will be able to:

• Understand and use parallel programming with Fortran in OpenMP.
• Calculate fractals in parallel to render multiple pixels and characters.
• Implement vector programming with SIMD extensions for HPC systems.
• Add parallel blocks for specifying shared memory parallelism.

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.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use Kubeless to build and deploy applications as functions on top of Kubernetes.

By the end of this training, participants will be able to:

• Install and configure Kubeless.
• Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
• Comfortably manage functions as standard Kubernetes objects.
• Troubleshoot deployments using existing logging and monitoring setup and skills.

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.
• To learn more about Kubeless, please visit: https://kubeless.io/

This instructor-led, live training (online or onsite) is aimed at developers who wish to use OpenFaas to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying server infrastructure.

By the end of this training, participants will be able to:

• Install and configure OpenFaas.
• Package any binary or code as a serverless function without repetitive boiler-plate coding.
• Decouple from AWS Lambda to avoid lock-in.
• Deploy event-driven functions to an on-premise server or to the cloud.

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.
• To learn more about OpenFaas, please visit: https://www.openfaas.com/

This instructor-led, live training (online or onsite) is aimed at developers who wish to use Knative to deploy serverless, event-driven functions, applications, and containers in a simplified and consistent manner.

By the end of this training, participants will be able to:

• Install and configure Knative on-premise.
• Deploy and run serverless functions and applications that autoscale.
• Integrate Knative with continuous integration systems to enable an end-to-end development workflow.
• Simplify the overhead of deploying containers; focus on writing great code.

Format of the course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• This course is aimed at on-promise installations of Knative. To use a Knative service provided by a cloud providers, contact us to arrange.
• To request a customized training for this course, please contact us to arrange.
• To learn more about Knative, please visit: https://cloud.google.com/knative/

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

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.

Firecracker is an open source virtualization software that emphasizes security. Firecracker enables DevOps engineers to develop and deploy secure serverless services, applications, and containers.

This instructor-led, live training (online or onsite) is aimed at DevOps engineers who wish to use Firecracker to create and manage secure serverless architecture.
    
By the end of this training, participants will be able to:

• Implement KVM-based virtualization or microVMs to enhance security.
• Optimize kernel loading for faster startup time.
• Scale storage resources with less memory overhead.

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.

Serverless is an event-driven, cloud computing environment where the cloud provider fully manages backend services for applications and servers.

This instructor-led, live training (online or onsite) is aimed at executives, directors, and managers who wish to implement serverless computing solutions that meet organizational needs.

By the end of this training, participants will be able to strategize, monitor, and manage enterprise-grade productions with serverless models and platforms.

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.

Alibaba Cloud is a cloud computing platform that offers a full range of cloud services for networking, databases, security, analytics, big data, application services, and much more.

This instructor-led, live training (online or onsite) is aimed at IT professionals who wish to learn the fundamentals of Alibaba Cloud and how to use its cloud computing services.

By the end of this training, participants will be able to:

• Understand the Alibaba Cloud solution architecture.
• Learn about the Alibaba Cloud core products and services.
• Understand the capabilities of Alibaba Cloud in dealing with big data and databases.

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.

Google Anthos is a set of managed services that add value to the Kubernetes container platform. Anthos can be run on a hybrid and multicloud environment.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use Anthos to build, deploy, and optimize applications running on top of multi-cluster Kubernetes infrastructure.

By the end of this training, participants will be able to:

• Set up Google Anthos on-premise or in the cloud.
• Define, automate, and enforce policies across different environments.
• Manage traffic between services.
• Use Anthos Service Mesh to monitor, troubleshoot, and improve application performance.
• Implement security controls across all deployments.

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.

Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi.

This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

By the end of this training, participants will be able to:

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Audience

Software Engineer/Computer Scientists with adequate concepts of algorithms and
familiarity with at least one programming/scripting language but without any experience of Cloud
Computing

Duration

3 days (7 hours / day)

Day 1 - provides end-to-end coverage of fundamental cloud computing topics as they relate to both technology and business. The module is divided into a series of sections, each of which is accompanied by a hands-on exercise.

Day 2 - explores technology-related topics that relate to cloud computing platforms. It does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that address cloud service architecture, cloud security threats and technologies, virtualization and data processing.

Day 3 - provides a technical insight into foundational cloud computing platforms. Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) environments are explored as compound patterns, comprised of unique and shared building blocks. This module is structured as a guided tour through these architectural layers, describing primary components, highlighting shared components and explaining how building blocks can be assembled and implemented via cloud computing mechanisms and practices

Day 4 - builds upon Day 3 to provide a deep dive into elastic, resilient and multitenant technology architectures, as well as specialized solution architectures, such as cloud bursting and cloud balancing. Through the study of architectural mechanisms, industry technologies and design patterns, both core and extended components are described that combine to realize elasticity, resiliency and multitenancy as primary characteristics of cloud platforms. By leveraging these native and enhanced scalability and failover-related feature-sets, specialized solution architectures are described to enable bursting between clouds and on-premise and cloud environments, as well as the balancing of runtime loads across clouds for performance and failover purposes.

Day 5 - presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered previously.

This course has been created for people who want to understand how to benefit from cloud computing. It uses Amazon EC2 example, but can be tailored to other providers.