Навчальні курси Serverless Computing

Навчальні курси Serverless Computing

Місцеві навчальниі курси Serverless Computing під керівництвом місцевих інструкторів у україні.

Відгуки

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Serverless Computing Підкатегорії

Serverless Computing Зміст курсу

Назва курсу
Тривалість
Огляд
Назва курсу
Тривалість
Огляд
7 годин
Огляд
This instructor-led, live training in україні (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.
7 годин
Огляд
This instructor-led, live training in україні (online or onsite) is aimed at system administrators who wish to implement, monitor, and analyze IT operations using a serverless environment.

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

- Manage IT operations using a Function-as-a-Service (FaaS) model.
- Automate functions to build multiple-tier web applications.
- Analyze and monitor infrastructures using a serverless framework.
7 годин
Огляд
This instructor-led, live training in україні (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.
14 годин
Огляд
This instructor-led, live training in україні (onsite or remote) 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.
21 годин
Огляд
This instructor-led, live training in україні (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.
7 годин
Огляд
This instructor-led, live training in україні (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.
14 годин
Огляд
This instructor-led, live training in україні (onsite or remote) 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.
14 годин
Огляд
This instructor-led, live training in україні (onsite or remote) is aimed at developers who wish to use OpenWhisk to create, build, test, debug and deploy event-driven functions without needing to worry about managing the underlying execution environment.

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

- Install and configure OpenWhisk.
- Use OpenWhisk to enable writing "code as a function".
- Understand how OpenWhisk orchestrates functions on Kubernetes.
- Decouple from AWS Lambda to avoid lock in and improves flexibility.
- Deploy event-driven functions to an on-premise server or to the cloud.
14 годин
Огляд
This instructor-led, live training in україні (onsite or remote) 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.
14 годин
Огляд
This instructor-led, live training in україні (onsite or remote) 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.
14 годин
Огляд
This instructor-led, live training in україні (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.

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