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Machine Learning and the Cloud Rescue IT

How Machine Learning and the Cloud Can Rescue IT From the Plumbing Business

 FROM AMAZON WEB SERVICES (AWS)

By Andrew Barbour     Feb 19, 2019

https://www.edsurge.com/news/2019-02-19-how-machine-learning-and-the-cloud-can-rescue-it-from-the-plumbing-business

Many educational institutions maintain their own data centers.  “We need to minimize the amount of work we do to keep systems up and running, and spend more energy innovating on things that matter to people.”

what’s the difference between machine learning (ML) and artificial intelligence (AI)?

Jeff Olson: That’s actually the setup for a joke going around the data science community. The punchline? If it’s written in Python or R, it’s machine learning. If it’s written in PowerPoint, it’s AI.
machine learning is in practical use in a lot of places, whereas AI conjures up all these fantastic thoughts in people.

What is serverless architecture, and why are you excited about it?

Instead of having a machine running all the time, you just run the code necessary to do what you want—there is no persisting server or container. There is only this fleeting moment when the code is being executed. It’s called Function as a Service, and AWS pioneered it with a service called AWS Lambda. It allows an organization to scale up without planning ahead.

How do you think machine learning and Function as a Service will impact higher education in general?

The radical nature of this innovation will make a lot of systems that were built five or 10 years ago obsolete. Once an organization comes to grips with Function as a Service (FaaS) as a concept, it’s a pretty simple step for that institution to stop doing its own plumbing. FaaS will help accelerate innovation in education because of the API economy.

If the campus IT department will no longer be taking care of the plumbing, what will its role be?

I think IT will be curating the inter-operation of services, some developed locally but most purchased from the API economy.

As a result, you write far less code and have fewer security risks, so you can innovate faster. A succinct machine-learning algorithm with fewer than 500 lines of code can now replace an application that might have required millions of lines of code. Second, it scales. If you happen to have a gigantic spike in traffic, it deals with it effortlessly. If you have very little traffic, you incur a negligible cost.

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more on machine learning in this IMS blog
http://blog.stcloudstate.edu/ims?s=machine+learning

How Cloud Computing Works

How Cloud Computing Works – Practical Example & Characteristics

Malini Shukla

https://www.linkedin.com/pulse/how-cloud-computing-works-practical-example-malini-shukla/

What is Cloud Computing?

Cloud Computing eliminates and reduces the on-site software or hardware usage.

How Cloud Computing Works?

Cloud Computing works by providing permission to the user to upload and download the information which stores. The data can access from anywhere.

Cloud-Native Technologies

Beyond Kubernetes – 5 Promising Cloud-Native Technologies To Watch

  1. Istio

After Kubernetes,Istio is the most popular cloud-native technology. It is a service mesh that securely connects multiple microservices of an application. Think of Istio as an internal and external load balancer with a policy-driven firewall with support for comprehensive metrics. The reason why developers and operators love Istio is the non-intrusive deployment pattern. Almost any Kubernetes service can be seamlessly integrated with Istio without explicit code or configuration changes.

Google recently announced a managed Istio service on GCP.  Apart from Google, IBM, Pivotal, Red Hat, Tigera and Weaveworks are the active contributors and supporters of the project.

Istio presents an excellent opportunity for ISVs to deliver custom solutions and tools to enterprises. This project is bound to become one of the core building blocks of cloud-native platforms. I expect every managed Kubernetes service to have a hosted Istio service.

  1. Prometheus

Prometheus is a cloud-native monitoring tool for workloads deployed on Kubernetes. It plugs a critical gap that exists in the cloud-native world through comprehensive metrics and rich dashboards.

  1. Helm

If Kubernetes is the new OS, Helm is the application installer. Designed on the lines of Debian packages and Red Hat Linux RPMs, Helm brings the ease and power of deploying cloud-native workloads with a single command.

  1. Spinnaker

One of the promises of cloud-native technology is the rapid delivery of software. Spinnaker, an open source project initially built at Netflix delivers that promise. It is a release management tool that adds velocity to deploying cloud-native applications.

  1. Kubeless

Event-driven computing is becoming an integral part of modern application architecture. Functions as a Service (FaaS) is one of the delivery models of serverless computing which complements containers through event-based invocation. Modern applications will have services packaged as containers and functions running within the same environment.

PixTeller Pro alternative to Adobe Creative Cloud

This lightweight design software is an affordable alternative to Adobe Creative Cloud

https://mashable.com/2018/07/23/pixteller-pro-lifetime-subscription-sale/

JUL 23, 2018

This robust, web-based design tool is just what you need to create custom content for the web, social media, print, and more. Pick up a lifetime subscription today for just $34.99.

 

cloud terminology

Understanding Cloud Terminology: What Does IaaS, Paas, and SaaS Mean?

  • IaaS, Infrastructure-as-a-Service
  • PaaS, Platform-as-a-Service

Linux Server

Apache/nginx web server

MySQL database

WordPress

  • SaaS, Software-as-a-Service
  • UCaaS, Unified-Communications-as-a-Service
  • GaaS, Gaming-as-a-Service

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more on SAAS in this IMS blog
http://blog.stcloudstate.edu/ims?s=saas

more on cloud computing in this IMS blog
http://blog.stcloudstate.edu/ims?s=cloud+computing

 

cloud computing

The Dangers of Trusting Cloud Computing Over Personal Storage

Security Concerns
Risk of Disruptions
Lack of Standardization
Accessibility Concerns
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more on cloud computing in this IMS blog
http://blog.stcloudstate.edu/ims?s=cloud

more on personal storage in this IMS blog:

http://blog.stcloudstate.edu/ims?s=personal+storage

individual use of Internet and cloud services

Internet and cloud services – statistics on the use by individuals. Half of Europeans used the internet on the go and a fifth saved files on internet storage space in 2014

http://ec.europa.eu/eurostat/statistics-explained/index.php/Internet_and_cloud_services_-_statistics_on_the_use_by_individuals

Use of internet and other means for sharing files electronically, EU-28, 2014 (% of individuals)4

Use of internet and other means for sharing files electronically, EU-28, 2014 (% of individuals)4

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