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Cloud Academy – Survey of Serverless Across the Cloud-STM

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Cloud Academy – Survey of Serverless Across the Cloud-STM
English | Size: 423.93 MB
Category: SERVER


This course touches on the similarities and differences between AWS, GCP, and Azure serverless functions. The idea is to give you insight into what using the different offerings look like. The primary learning objective is to help you make an informed decision about which provider to use and if it fits your use case. The 30 minute course covers the three different providers (content largely taken from the comparing cloud platforms course–but cut down for content), deploying a sample application on each, and the ecosystem around deploying serverless applications. The provider lesson uses the same application and demonstrate deploying and other operational characteristics of each provider [Read more…]

O’Reilly – Build an App Real Time GraphQL Managed PostgreSQL and Async Serverless Business Logic

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O’Reilly – Build an App Real Time GraphQL Managed PostgreSQL and Async Serverless Business Logic-ZH
English | Size: 1.23 GB
Category: Tutorial


With the technology available today, it isn’t hard to build applications fast that are scalable and resilient.
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Packt – Hands-on Kubernetes Native Serverless Development-XQZT

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Packt – Hands-on Kubernetes Native Serverless Development-XQZT
English | Size: 361.88 MB
Category: Tutorial


Kubeless (Kubernetes + Serverless) is a Kubernetes-native serverless framework used to deploy functions encapsulating infrastructure underneath. It adds the capabilities of serverless computing to the Kubernetes to upload your code to the cloud provider without worrying about internals.
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Pluralsight – Serverless Analytics on AWS

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Pluralsight – Serverless Analytics on AWS-XQZT
English | Size: 354.69 MB
Category: Tutorial


AWS Glue and Amazon Athena have transformed the way big data workflows are built in the day of AI and ML. Learn how to build for now and the future, how to future-proof your data, and know the significance of what you’ll learn can’t be overstated. [Read more…]

Create a Serverless Portfolio with AWS and ReactJS

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Create a Serverless Portfolio with AWS and ReactJS
English | Size: 1.79 GB
Category: Tutorial


ABOUT THE COURSE
Create a showcase for your work, and stand out in the job market. In just a few hours, without having any prior serverless or Amazon Web Services (AWS) experience, you can build an impressive, entirely serverless portfolio using modern programming techniques.
[Read more…]

A Cloud Guru – Serverless Framework with GraphQL

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A Cloud Guru – Serverless Framework with GraphQL-ViGOROUS
English | Size: 874.10 MB
Category: Tutorial


Using a serverless approach to build A Cloud Guru, we were able to get a fully interactive online social learning platform to market in a fraction of the time that it would have taken us in the past. We can now innovate quickly, and add new features to the user interface continuously - without having to touch so many layers of code for each new feature.

We want you to experience the same benefits. Serverless is one of the hottest topics in the cloud in 2017. It’s important to note that this doesn’t mean there aren’t any servers. Of course there are, but someone else is managing, securing, maintaining and patching them, taking the load and responsibility off your shoulders and freeing you up to focus on building your unique product.

In this course, you will be introduced to 2 powerful tools for developers: The Serverless Framework and _GraphQL. _The Serverless Framework is the first framework for building applications exclusively on AWS Lambda. GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data.

This is a lab-driven, hands-on course where you build a fully serverless website on AWS Lambda, DynamoDB, and API Gateway. You will complete 3 different projects while learning how to use The Serverless Framework and GraphQL.

This is a fairly technical course. The ideal student is already familiar with mobile or web frontend development, and wants to learn how they can build their own backend. If you’re not there just yet, you may consider our Serverless for Beginners course.

This is for students that are tired of:

• writing REST endpoints that they’ll have to support until the last user updates their mobile app

• managing a full infrastructure made up of EC2 instances, autoscaling groups, and config management tools.

• paying for a bunch of idle servers if they guess their capacity needs wrong.

• shelling out for expensive separate test environments as a solo developer.

• calling multiple endpoints to assemble all the data they need for every page of their app.

Learn how to take advantage of the latest tools to make your app or web site snappy & easy to add features to.

Learn how to have every part of your dev-test-deploy cycle automated so they can focus on their code.

Learn how to let AWS handle the hard work of scaling up and down to meet demand.

All you need is The Serverless Framework with GraphQL.

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https://rapidgator.net/file/d7f45d7b99bc665bf141ecf14c5b8305/A.Cloud.Guru.Serverless.Framework.with.GraphQL-ViGOROUS.part1.rar.html
https://rapidgator.net/file/6a73540a7a2c245783e1d323cae879e0/A.Cloud.Guru.Serverless.Framework.with.GraphQL-ViGOROUS.part2.rar.html


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AWS MasterClass Go Serverless with AWS Lambda & AWS Aurora

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AWS MasterClass Go Serverless with AWS Lambda & AWS Aurora
English | Size: 2.68 GB
Category: Networking


The next big thing in Cloud computing is Serverless architecture.

So what is this Serverless computing architecture?

Traditionally the applications are developed and deployed in servers. Apart from coding, the developer should also look into pre-deployment checks such as storage allocation, and server maintenance. [Read more…]

Pluralsight – Serverless Machine Learning with Tensorflow on Google Cloud Platform

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Pluralsight – Serverless Machine Learning with Tensorflow on Google Cloud Platform-XQZT
English | Size: 819.47 MB
Category: Tutorial


This course covers how to build, scale and operationalize machine learning models on Google Cloud Platform. On GCP, you build ML models with TensorFlow, an open-source ML package and you can train and deploy them in a serverless way using Cloud ML Engine. [Read more…]