Design, Develop, and Deploy Apps on Google Cloud now!

By CIRIELLO V

•
Mar 19, 2022

Fantastic Specialization that explains the foundation of Application Development on the Cloud and with many Labs for Java Spring, Node JS, and Python.

The specialization explains the best practices of cloud application development that, thanks to microservices architecture and cloud technologies allow to obtain the three fundamental features of a modern application:

-Global reach

-Scalability and High Availability

-Security

The specialization explains in detail how this goal can be reached thanks to a design of the application with loosely coupled components, asynchronous communication, and the stateless paradigm for scalability.

The specialization explains the many services Cloud Technology offers and how the Designer should correctly choose among these solutions according to the Business, User Case, and Pay Model needs.

– IAM: Identity and Access Management for security (user authentication and authorization )

– Data Storage Services according to the Application Needs (Cloud Storage, Datastore, Cloud BigTable, CloudSQL, Cloud Spanner, and BigQuery for BigData)

-Artificial Intelligence services: Vision, Speech, Translation, Natural Language, Video Intelligence

-Pub-Sub services for asynchronous and highly scalable communications

-Application Environment services: Compute Engine for the classic VM, App Engine for applications released as a container, Cloud Run for containerized applications, Cloud Functions for API Gateway Architecture. The services allow the creation of very rapid way load balancing and horizontal scalability for high-traffic and low-latency responses.

The specialization explains all the APIs the Cloud makes available to users and developers for all these services. I build a Python script that realizes the Face Detection on images thanks to the use of the Cloud Vision API in the very short time since the Cloud contains the AI pre-trained model ready to use thanks also Rest calls. The result of my script with the Vision API was amazing: it analyzed the images for face detection in a fantastic way.

The Specialization explains all the steps and the code needed to integrate applications with the Cloud technology. Describe how to monitor your application in Production with Logging and Metrics and the possibility to easily use the Site Reliability Engineering (SRE) to define and monitor Service Level Indication (SLI) as :

– latency SLI (ratio of the number of calls below a latency threshold to the number of all calls)

– availability SLI is the ratio of the number of successful responses to the number of all responses

It also described the Cloud Source Repository for Debugging and Versioning. In the Lab, I created an A/B Testing very easily thanks to the Versioning feature offered by the Cloud.

By senn l

•
Sep 13, 2019

Overall this specialization is learning to deliver applications on the GCP cloud. I have noticed that many costs are hidden, and the cost factors are unknown until after the launch. Enterprise cloud users (management) are usually shocked because they only see the bill after the product launch; it would be too late for them to change anything (I learned that from using AWS). To be helpful and fair to enterprise users, Cloud vendor(s) should integrate cost threshold configuration settings to supporting features along with providing GCP system engineer to work with the clients on the initial deliverable.