Training: Aan de Slag met Serverless Solutions

Serverless computing allows developers to build and run applications without having to manage servers. Explore the evolution of cloud computing along with the features and applications of serverless architecture through this course. Over the length of the course, examine the cloud application maturity model, layers of the data center network architecture, and considerations for outsourcing IT operations. Furthermore, investigate the distinction between serverless computing and Platform as a Service (Paas), the impact of NoOps on serverless deployment, and migration of existing services and monolithic apps to a serverless architecture. Upon completion of this course, you'll have a good understanding of the benefits of serverless computing, use cases for serverless deployment, and steps involved in migrating to serverless.

Implementing serverless solutions allows developers to move away from servers and infrastructure concerns and focus on building efficient applications. This course will acquaint you with the considerations and use cases for serverless implementation and the features and architectures of common serverless computing platforms. You'll recognize attributes of serverless systems, the concept of Function as a Service (FaaS), and the role of programming models in selecting serverless architectures and runtimes. You'll also examine the features of different serverless services provided by Amazon Web Services (AWS), serverless computing and implementation costs, and use cases for multi-cloud serverless solutions. After finishing this course, you'll be able to identify the concerns, considerations, and costs related to serverless implementation and set up a development environment for building serverless applications.

Implementing a serverless mindset can help enterprises scale their business and deliver focused, accelerated, and cost-effective solutions. Use this course to examine the benefits of serverless architectures and their impact on development processes and service delivery. Familiarize yourself with the distinction between containerized and serverless implementations, uses cases for serverless compute products, and how serverless influences DevOps and CloudOps mindsets. Having completed this course, you'll be able to recognize the advantages of serverless application architectures, business impacts and benefits of the serverless solutioning mindset, and the ecosystem of technologies involved in the deployment of serverless solutions.

Cloud portability allows developers to transfer data, applications, and services from one cloud service to another with ease. Take this course to explore the features, principles, and benefits of data and application portability in the cloud. Over the length of this course, you'll delve into various elements of cloud computing portability: software development lifecycle, the role of specification in maximizing portability, application design considerations for interoperable software applications, the OpenAPI specification, containerization, and essential characteristics of Docker and Kubernetes that enable application portability. You'll also outline how to work with Application programming Interfaces (APIs) in Swagger and configure a development environment in Google Cloud Platform (GCP). After completing this course, you'll be able to identify key components of data and code portability in the cloud and how cloud portability allows re-usability and interoperability.

Application portability enables developers to move and adapt applications across multiple cloud service providers and eliminates the need for application redesign and redeployment. Use this course to discover the advantages and use cases of multi-cloud architectures. Through this course, you'll outline the use of open-source serverless frameworks in deploying serverless computing solutions, common multi-cloud portable app patterns, and Kubernetes environment configuration for multi-cloud application portability. You'll also investigate the considerations for cloud infrastructure selection for containerized applications, the use of Python in writing applications with functional programming, and how to work with CNCF-compatible buildpacks. Upon finishing this course, you'll have the skills and knowledge to identify the portability and flexibility afforded by multi-cloud and recognize the purpose of containers in a multi-cloud environment.

A fundamental aspect of cloud development is choosing the most suitable serverless computing framework provider and serverless environment development language for your serverless application project. Use this course to identify the languages used for serverless application development and the prominent serverless computing systems and their languages and runtimes. Getting hands-on, use the three most popular serverless computing services to set up local development environments. Then, deploy a reporting service using Serverless Framework Open Source CLI and serverless Azure Functions using Python and Visual Studio Code. When you're done with this course, you'll be equipped with the know-how to choose the ideal serverless computing provider and language for your deployment tasks.

There are diverse languages and environments to choose from when building serverless applications. Developers should know which one to employ for which intricate task. Use the demonstrations in this course to set up REST APIs and HTTP GET endpoints using Serverless, Express, Node.js, Java, Ruby, Python, Maven, and Gradle on AWS and GCP. Furthermore, deploy HTTP Node.js Azure Functions, publish a Java Function project to Azure Functions, deploy and test a sample Serverless app using AWS SAM, and build a Web API using Go and AWS Lambda. Upon completing this course, you'll be able to conduct various essential serverless application development activities using several prominent services, frameworks, and languages.

Final Exam: Beginning with Serverless Solutions will test your knowledge and application of the topics presented throughout the Beginning with Serverless Solutions track of the Skillsoft Aspire Serverless Deployments for Developers Journey.