Deploying ML Web App on Google Kubernetes Engine -Autopilot

Start Date: 06/13/2021

Course Type: Common Course

Course Link: https://www.coursera.org/learn/machine-learning-gke-autopilot

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Google App Engine Web2py web framework offers migration between SQL Databases and Google App Engine, however it doesn't support several App Engine-specific features such as transactions and namespaces.
Google App Engine Google App Engine (often referred to as GAE or simply App Engine) is a cloud computing platform for developing and hosting web applications in Google-managed data centers. Applications are sandboxed and run across multiple servers. App Engine offers automatic scaling for web applications—as the number of requests increases for an application, App Engine automatically allocates more resources for the web application to handle the additional demand.
Google App Engine The Django web framework and applications running on it can be used on App Engine with modification. Django-nonrel aims to allow Django to work with non-relational databases and the project includes support for App Engine.
Google App Engine Google App Engine supports many Java standards and frameworks. Core to this is the servlet 2.5 technology using the open-source Jetty Web Server, along with accompanying technologies such as JSP. JavaServer Faces operates with some workarounds.
Google App Engine AppScale automatically deploys and scales unmodified Google App Engine applications over popular public and private cloud systems and on-premises clusters. AppScale can run Python, Java, PHP, and Go applications on EC2, Google Compute Engine, Softlayer, Azure and other cloud vendors.
Google App Engine App Engine's infrastructure removes many of the system administration and development challenges of building applications to scale to hundreds of requests per second and beyond. Google handles deploying code to a cluster, monitoring, failover, and launching application instances as necessary.
Kubernetes Kubernetes v1.0 was released on July 21, 2015. Along with the Kubernetes v1.0 release, Google partnered with the Linux Foundation to form the Cloud Native Computing Foundation (CNCF) and offered Kubernetes as a seed technology.
Google App Engine Python web frameworks that run on Google App Engine include Django, CherryPy, Pyramid, Flask, web2py and webapp2, as well as a custom Google-written webapp framework and several others designed specifically for the platform that emerged since the release. Any Python framework that supports the WSGI using the CGI adapter can be used to create an application; the framework can be uploaded with the developed application. Third-party libraries written in pure Python may also be uploaded.
Google Art Project The resulting Google Art Project platform is a Java-based Google App Engine Web application, which exists on Google’s infrastructure.
Google App Engine In Oct 2011, Google previewed a zero maintenance SQL database, which supports JDBC and DB-API. This service allows to create, configure, and use relational databases with App Engine applications. Google Cloud SQL offers MySQL 5.5 and 5.6.
Google App Engine Google App Engine requires a Google account to get started, and an account may allow the developer to register up to 25 free applications and an unlimited number of paid applications.
Google App Engine Paid support from Google engineers is offered as part of Premier Accounts. Free support is offered in the App Engine Groups, Stack Overflow, Server Fault, and GitHub, however assistance by a Google staff member is not guaranteed.
Google App Engine In Google I/O 2011, Google announced "App Engine Backends", which are allowed to run continuously, and consume more memory. The Backend API was deprecated as of March 13, 2014 in favor of the Modules API.
Kubernetes Kubernetes defines a set of building blocks ("primitives") which collectively provide mechanisms for deploying, maintaining, and scaling applications. The components which make up Kubernetes are designed to be loosely coupled and extensible so that it can meet a wide variety of different workloads. The extensibility is provided in large part by the Kubernetes API, which is used by internal components as well as extensions and containers running on Kubernetes.
Google App Engine While other services let users install and configure nearly any *NIX compatible software, App Engine requires developers to use only its supported languages, APIs, and frameworks. Current APIs allow storing and retrieving data from the document-oriented Google Cloud Datastore database; making HTTP requests; sending e-mail; manipulating images; and caching. Google Cloud SQL can be used for App Engine applications requiring a relational MySQL compatible database backend.
Google App Engine TyphoonAE can run Python App Engine applications on any cloud that support linux machines.
Google App Engine Google App Engine defines usage quotas for free applications. Extensions to these quotas can be requested, and application authors can pay for additional resources. Below are limit and quotas defined per application:
Google Developers Google App Engine lets developers run web applications on Google's infrastructure. Google App Engine supports apps written in several programming languages. With App Engine's Java runtime environment, one can build their app using standard Java technologies, including the JVM, Java servlets, and the Java programming language—or any other language using a JVM-based interpreter or compiler, such as JavaScript or Ruby. App Engine also features a dedicated Python runtime environment, which includes a fast Python interpreter and the Python standard library.
Kubernetes Kubernetes (from κυβερνήτης: Greek for "helmsman" or "pilot") was founded by Joe Beda, Brendan Burns and Craig McLuckie, was quickly joined by other Google engineers including Brian Grant and Tim Hockin, and was first announced by Google in mid-2014. Its development and design are heavily influenced by Google's Borg system, and many of the top contributors to the project previously worked on Borg. The original name for Kubernetes within Google was project Seven of Nine, a reference to a Star Trek character that is a 'friendlier' Borg. After Google's lawyers rebuked McLuckie, Burns and Beda for the Project Seven Name, McLuckie came up with the Kubernetes name. The seven spokes on the wheel of the Kubernetes logo is a small acknowledgment of Kubernetes' original name.
Google App Engine Currently, the supported programming languages are Python, Java (and, by extension, other JVM languages such as Groovy, JRuby, Scala, Clojure), Go, and PHP. Node.js is also available in the Managed VM environment. Google has said that it plans to support more languages in the future, and that the Google App Engine has been written to be language independent.