Final Exam: Beginning with Serverless Solutions

WHAT YOU WILL LEARN

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  Recall the journey of cloud computing from the shared mainframes era to managed cloud solutions
  

  identify the features and advantages of serverless architecture
  

  differentiate between the characteristics of serverless computing and platform as a service (paas)
  

  distinguish between the features and use cases of serverless and container deployment
  

  recognize differences between devops and noops and describe the impact of noops on serverless deployment
  

  outline characteristics, benefits, and applications of serverless architecture
  

  list common architectures that integrate serverless approaches and identify factors to consider when implementing a serverless architecture
  

  outline considerations for selecting a serverless implementation
  

  recognize prominent serverless computing platforms and the advantages of runtime
  

  describe the features of different serverless systems and how they help facilitate computing, storage, and queue processing
  

  define the concept of faas and recall programming models that help developers in selecting serverless architecture and runtime
  

  describe the purpose of different serverless pattern categories
  

  describe technology evolution and benefits of the serverless mindset
  

  distinguish between the features of service-oriented and serverless architecture and identify the business benefits of the latter
  

  recognize how serverless architectures change development processes and impact businesses
  

  outline the changing dimensions of application operation and usability offered by serverless application architectures
  

  identify the differences between containerized and serverless implementation and describe the considerations for their selection as an appropriate strategy
  

  recall prominent serverless development and deployment technologies and map them to serverless solutions
  

  define portability and list challenges and elements to be considered when designing and developing a portable software
  

  recall the concept of containerization and components of a typical containerization platform that provides portability
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  recognize key principles and classes of strategies that help achieve greater portability in software and service units
  

  outline the development lifecycle and role of specification in maximizing portability
  

  describe the elements and categories of cloud computing portability and interoperability
  

  describe the openapi specification and features of prominent tools that work with openapi
  

  recall benefits, challenges, and use cases of multi-cloud
  

  describe the approach of using an open-source serverless framework for developing and deploying serverless computing solutions across cloud service providers
  

  configure kubernetes environment for multi-cloud application portability
  

  compare multi-cloud architecture patterns for building portable applications
  

  identify application design principles for designing interoperable software applications that can be integrated with other products
  

  recall the languages that can be used to develop serverless applications for diversified serverless providers
  

  compare the prominent aws lambda–supported languages from the perspective of cold start performance, warm performance, cost, and ecosystem
  

  list the major serverless providers and the popular serverless frameworks that enable developers to explore the aspects of serverless computing
  

  recognize the types of cloud functions provided by gcp to implement serverless applications along with the language runtimes supported by gcp to write cloud functions
  

  describe the features of azure functions and outline how to select the right programming language to implement azure functions runtime
  

  install and configure node dependencies to build and deploy rest apis using serverless, express, and node.js on aws
  

  convert an existing node and express-based application to a serverless-friendly application in the cloud
  

  use node.js to set up a simple http get endpoint on gcp
  

  create a simple rest api with python running on aws lambda and api gateway using the traditional serverless framework
  

  deploy an http node.js azure function and demonstrate how to read properties and set a result back to azure
  

  configure and set up a simple python http get endpoint on gcp cloud functions