With the serverless execution environment Google Cloud Functions, application code executes in a fully managed environment, removing the need to provision infrastructure or manage servers. Using this course, explore the use of Google Cloud Functions, the runtimes it supports, and its frameworks. Examine the features of Cloud Firestore and Firebase Realtime Database along with some common Cloud Functions tests. Create HTTP functions using Node.js, Python, Java, and Go and deploy Cloud Functions from your local machine, source repository, and GCP console. Moving along, write background Cloud functions using Cloud Pub/Sub and Cloud Storage triggers and unit tests for the HTTP-triggered and event-driven functions. Use Log Explorer for a variety of tasks and integrate Cloud functions with ReactJS-based applications. When you're done, you'll be able to use Google Cloud Functions to write simple, single-purpose functions attached to events emitted from cloud infrastructure and services.

Google Cloud Platform (GCP) offers several tools for serverless application development and deployment. Use this course to learn how to take advantage of GCP serverless compute, storage, and app services. Investigate the GCP tools for hosting applications and examine how Google Cloud Functions and App Engine work. Explore the pros and cons of Firebase, the benefits of using Cloud Run, the use cases of Cloud Datastore, and the GCP serverless products for building apps for analytics. Moving along, explore GCP serverless microservices and how serverless deployments can improve DevOps productivity. Finally, learn how to deploy Node.js Cloud Functions, applications to App Engine, and containers from a Container Registry repository to Cloud Run. Store and query data in Firestore in Datastore mode and create streaming pipelines. When you're done, you'll be able to use GCP tools to develop scalable serverless applications efficiently and successfully.

App Engine is a fully managed serverless platform that provides a managed environment and custom runtimes to build highly scalable applications in Node.js, Java, Ruby, C#, Go, Python, and PHP without any infrastructure concerns. Use this course to become familiar with using Google App Engine. Learn how to deploy multiple API versions to the same App Engine version and structure the services and related resources of applications for App Engine. Explore the different methods for splitting traffic in App Engine, the various mechanisms for securing web applications on App Engine, and the key features of Google Cloud's operations suite. Finally, work with web apps, data, and testing in App Engine and configure monitoring and logging for Google Serverless applications. When you're done with this course, you'll know when and how to use App Engine during serverless implementation.

Testing, debugging, and monitoring serverless applications are critical tasks when building and deploying serverless solutions. Developers, engineers, and project managers alike can use this course to discover the most appropriate application, cloud, and automated testing mechanisms, frameworks, and tools for use with serverless implementations. Outline the challenges of testing cloud applications, the role of mock and dummy data in testing APIs, and the prominent testing strategies for local and cloud environments. Learn how to simplify Lambda function testing. Then practice testing and debugging serverless applications using AWS SAM and SAM CLI. Recognize the prominent AWS services for monitoring AWS applications. Explore the AWS Lambda console's role in monitoring AWS Lambda functions. Practice monitoring AWS Lambda functions and applications. Then fetch, tail, filter, and highlight Lambda function errors using AWS SAM CLI commands. Upon completion, you'll be able to discern the best methods for ensuring the smooth running of your serverless applications.

To build serverless applications, developers and project managers must know how to transition to an API-driven development environment. Use this course to learn how to leverage APIs within AWS's serverless platform. Distinguish between REST and SOAP APIs. Examine the purpose of the REST architecture style and the benefits of using REST APIs. Explore AWS API Gateway and the process of designing, building, and optimizing API Gateway to create REST APIs. Create HTTP APIs and API Gateway APIs. Implement AWS Lambda using Node.js. Then create Lambda functions to consume events from Amazon DynamoDB streams. Outline how to set up authentication and authorization in AWS serverless implementations. Work with Lambda authorizers and functions. Lastly, customize content delivered by CloudFront. Upon completing this course, you'll be able to build RESTful APIs and leverage them within the AWS serverless 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.

Developers and project managers who work on serverless application projects can utilize various open-source serverless frameworks to optimize development and deployment tasks. Use this course to recognize frameworks for serverless app development and deployment as well as monitoring, troubleshooting, and fine-tuning application performance. Investigate the prominent tools that help improve development workflows and monitor and debug serverless applications. Explore the critical metrics to identify serverless application performance and the recommended serverless performance and optimization strategies. Then, learn how to configure Sentry to monitor serverless applications. Upon completion of this course, you'll be able to use several tools, including AWS Chalice, Claudia.js, OpenFaaS, and OpenLambda, to improve the development, deployment, performance, monitoring, and debugging of serverless applications.

Because open-source platforms provide access to IT innovations, many developers utilize them. There are several open-source projects for working with the Serverless Framework (Apache OpenWhisk, Fn from Oracle, Kubeless, Knative, Project Riff, etc.). This course helps developers and project managers choose from and work with these different open-source frameworks. Start by exploring the core features of prominent open-source serverless frameworks. Then, compare open-source and cloud-based serverless frameworks before learning how to create and invoke actions and develop Functions as a Service using Apache OpenWhisk. Moving along, set up Fn Project to create, deploy, and invoke functions. Install and configure Fission on Kubernetes clusters. Write short-lived functions in Node.js, map them to HTTP requests, and deploy them on Fission. And use Kubeless for several essential tasks. When you're done, you'll be able to choose and use the best open-source serverless framework platform for your projects.

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.