👉DNS is not only needed for on-premise infra, but for the cloud as well. This article will help you to understand how to use Azure PaaS-based DNS service.
⭐️You can see more at the link at the end of the article. Thank you for your interest in the blog, if you find it interesting, please give me a like, comment and share with everyone. Thanks! ❤️
There are three types of cloud service models:
In this post, we will discuss all the three cloud service models, their advantages, when to use them, the difference between these models and many more. These insights will help you choose the right solution for your business.
Platform as a Service (PaaS) is a software development accelerator in which a third-party service provider provides a platform for customers to develop, run, and manage applications. software without having to build and maintain the underlying infrastructure yourself.
In this video I’ll go over getting started with Heroku and showing app creation in the Heroku UI. If you are looking to get into PaaS (Platform-As-A-Service) and have a fast way to deploy your code, look no further.
#PaaS #Developers #Development #Cloud
#heroku #paas #developers
Does NoOps mean the end of the DevOps era? Or is it simply the next step in the progression of DevOps? In this article, we’ll explore this question in detail.
With cloud adoption on the rise, the level of abstraction in application architecture has increased — from traditional on-premises servers to containers and serverless deployments. The focus on automation has also increased to the point where manual intervention is no longer preferred, even for infrastructure-related activities like backups, security management, and patch updates. This desired state equates to a NoOps environment, which involves smaller teams that can manage your application lifecycle. Ideally, in such an environment, the efforts required by your operations team will be eliminated.
It is beyond debate that DevOps is now deeply integrated into the DNA of all cloud-first organizations and is today more of a norm than a rarity. Cloud applications demand agility, and DevOps delivers it. However, does NoOps mean the end of the DevOps era? Or is it simply the next step in the progression of DevOps?
#cloud #devops #noops #paas
One of the most popular forms of cloud computing is Software as a Service, or SaaS, and is often used on a daily basis by consumers and for business.
In this video, Jason Goode with IBM Cloud, explains how SaaS differs from the other cloud computing models, how it is commonly used by both consumers and businesses, and some of the key benefits users gain from using a SaaS application.
0:00 - Intro
0:08 - Three main cloud computing models
0:28 - SaaS compared to traditional software model
0:56 - Common SaaS examples for consumers
1:15 - Key SaaS apps for business operations
1:34 - IaaS, PaaS, and SaaS stack on lightboard
2:01 - Multi-tenant architecture
2:31 - Typical SaaS cost structure
3:12 - Scalability
3:32 - Accessing SaaS apps anywhere
4:20 - SaaS new releases (upgrades)
5:01 - Summary
Learn more about SaaS and other cloud compute models → http://ibm.biz/cloud-computing-models
Watch “What is FaaS” lighboard video → https://youtu.be/EOIja7yFScs
Watch “What is PaaS” lightboard video → https://youtu.be/QAbqJzd0PEE
Watch “What is IaaS” lightboard video → https://youtu.be/XRdmfo4M_YA
Check out IBM SaaS Applications → http://ibm.biz/ibm-saas-apps
Earn a badge with FREE interactive Kubernetes labs → http://ibm.biz/interative-k8-labs
Get started on IBM Cloud at no cost → https://ibm.biz/create-account
#SaaS #IaaS #PaaS
#saas #iaas #paas
Azure Data Services at 50,000 Feet
A fun, high level, look at Azure Data Services (PaaS) options, when you would use them, how they scale, and how they integrate with R and Python. This presentation demystifies the subject.
#azure #data services #paas
Your first approach to the Cloud may be very confusing. The Cloud is gigantic, and there is not only ONE Cloud, but many viable choices in the market. Soon or late, if you decide to become a programmer, you will need to start learning how to work in ONE Cloud, or, if you are unlucky, many different Clouds depending on the requests of your client.
In this article, before even explaining what are the four main service models (IAAS, PAAS, FAAS, SAAS), I will first explain in a low-resolution perspective what is the Cloud, how it is structured, and why it is structured this way; only then I can finally explain what are service models in a way you can easily understand them. If you are, however, eager to find out about them, you can scroll to the end of the article.
The Cloud is a must-know tool in the curriculum of every programmer, not only of data scientists. Expect to be asked about your experience with at least one Cloud and several of its tools for every interview. The Cloud is a marketplace belonging to one company (usually a Tech Giant) where you can use a myriad of services for almost every programming task you need. Although your first-year subscription will likely be free (depending on the Cloud you chose), you will need to pay a monthly subscription after it has expired. The biggest clouds are:
#paas #iaas #saas #faas #cloud
Aravind R and his team at Mars Veterinary Health use the Oracle Cloud Infrastructure to run their global pet healthcare business. With over 2500 locations worldwide and an ever growing portfolio of providers, they need to scale quickly and integrate many disparate systems. They chose OCI to enable rapid, powerful and secure company growth while integrating IaaS, Paas and SaaS. Operations Manager Aravind R sat down with Zach Matthews to discuss their deployment.
#iaas #saas #paas
The Custom Neural Voice is a Text-to-Speech (TTS) feature of Speech in Azure Cognitive Services that allows users to create a one-of-a-kind customized synthetic voice for their brand. Since the preview last year in September, the feature helped several customers such as AT&T, Duolingo, Progressive, and Swisscom to develop branded speech solutions for their customers. The feature is generally available (GA), yet access for customers to Custom Neural Voice includes technical controls to prevent misuse of the service – they have to apply for it.
Microsoft’s underlying Neural TTS technology for Custom Neural Voice consists of three major components: Text Analyzer, Neural Acoustic Model, and Neural Vocoder. The first component, Text Analyzer, is responsible for generating natural, synthetic speech from text. The text is first input into Text Analyzer, which provides output in the form of phoneme (a basic unit of sound that distinguishes one word from another in a particular language) sequence. Next, the phonemes sequence defines the pronunciations of the words provided in the text, which goes into the Neural Acoustic Model to predict acoustic features that define speech signals, such as the timbre, speaking style, speed, intonations, and stress patterns. And finally, the Neural Vocoder converts the acoustic features into audible waves to generate synthetic speech.
Neural TTS voice models are trained using deep neural networks based on real voice recording samples. With Custom Neural Voice’s customization capability, customers can adapt the Neural TTS engine to fit their user scenarios better. To leverage custom neural voice, customers will need an Azure account and subscription. Subsequently, after approval for using the feature, they can start a custom voice project, upload data, train, test, and deploy the voice model.
There are various use cases possible for customers to benefit from the Custom Neural Voice, such as customer service chatbots, voice assistants, online learning, audiobooks, public service announcements, and real-time translations. One earlier adopter, Swiss.com, wanted to create more engaging customer experiences by building a voice assistant that uniquely represents its brand. In a Microsoft Switzerland news item, the author wrote:
Using the Speech service, Swisscom has given its customers access to an intelligent, multilingual voice assistant, helping improve the customer experience and accelerate its own digital transformation.
Qinying Liao, principal program manager at Microsoft, described in an Azure AI blog post the benefit of leveraging Custom Neural Voice:
Empowered with this technology, Custom Neural Voice enables users to build highly-realistic voices with just a small number of training audios. This new technology allows companies to spend a tenth of the effort traditionally needed to prepare training data while at the same time significantly increasing the naturalness of the synthetic speech output when compared to traditional training methods.
In addition, Holger Mueller, principal analyst and vice president at Constellation Research Inc., told InfoQ:
In order to make computers more human, speech is a crucial ingredient, and in 2020 enterprises need to depart from the robotic and standardized voices, accents of synthetic speech in the past. The cloud enables this level of personalized creation of personalized voice experience - with availability, cheap compute, and operational capacity. So it is a widespread use case across the IaaS / PaaS players - and suitable for enterprises and their customers, and even employees as they get a more human experience.
Lastly, besides the capability to customize TTS voice models, Microsoft offers over 200 neural and standard voices covering 54 languages and locales.
#artificial intelligence #cloud #paas #microsoft azure #microsoft #ai #news
While there are many use cases to explore, in this blog we are going to explore how can you deploy a dot net core application from scratch into the IBM Cloud code engine. I would also suggest looking into this article for understanding when to use an application or a job.
Upon completion of this tutorial, you will know how to:
You’ll need the following installed on your machine.
This step is to verify whether your app is running successfully locally before deployment. You can start by verifying the version of Dotnet as follows in your terminal:
Create a sample web app using the below command. This will create a new application under the directory
myWebApp and flag
--no-https flag specifies not to enable HTTPS.
dotnet new webApp -o myWebApp --no-https
#tutorial #paas #serverless #container #ibm cloud #asp .net
Whether in the private or public sector, companies big and small need to leap from legacy technology to rapidly evolving cutting-edge solutions to meet the sophisticated demands of today’s tech-savvy customers.
To meet market expectations, accelerate growth, and deliver an enhanced user experience (UX), most organizations are putting Cloud solutions at the heart of their digital transformation strategy.
While digital transformation is imperative in the modern business environment, there are many reasons why nonprofits and for-profit companies are unable to upgrade their infrastructure. More often than not, it all boils down to the availability of tech resources.
With that being said, outdated software and hardware can quickly become a burden and increase any company’s tech debt significantly. Legacy software can be difficult and expensive to maintain, and the lack of patches, support, and updates can also increase your exposure to cyber fraud, malware, ransomware, etc.
#cloud #paas #saas #cloud migration
Businesses looking to establish themselves online have numerous options. They can not only choose the providers, but the service they wish to receive. Cloud computing has become an extremely popular hosting method due to flexibility in price, features, and support/management. Within the concept of cloud computing, you are typically presented with three distinct categories of services offered:
Each has its own set of benefits and drawbacks, use cases, and appeal depending on the project at hand. Let’s explore each of them and see what they are and how they differ.
IaaS or Infrastructure-as-a-Service is a cloud computing service where the consumer receives the use of a virtual machine (VM). The IaaS provider specifies the amount of hardware performance/capacity to allocate to the VM. It also starts the VM, and boots it with the chosen operating system (OS). The client only ever accesses or has to be concerned with the Multi-Tenant VM; all the physical hardware is monitored and serviced by the provider (hence the infrastructure being the service provided).
#tutorials #administration #automation #ci/cd #cloud #code #containerization #containers #deploy #deployment #developer #development #devops #iaas #iac #infrastructure #infrastructure as code #kubernetes #linux #open source #organization #paas #platform #provisioning #remote management #saas #virtual machines #virtualization
What is the difference between the 3 popular models of Cloud Computing?🤔
What to choose IaaS, Paas or SaaS?🧐
Read useful guide about models of app monetization 👇
#iaas #saas #paas #cloudcomputing
Recently, Digital Ocean announced they’re entering the PaaS market with their new application platform. They’ve hosted virtual machines (droplets) and Kubernetes based services for years, but now they’re creating a platform that’s a simple point and click to get an application up and running.
So I decided to try it. In this tutorial, we’re going to build an application on that platform. I will use Go to make a small web API and have it backed by an SQLite database. I’ll show you the steps required, and we’ll see just how easy it is (or isn’t) to deploy applications on the platform.
We’ll create a small service that:
If you want to follow along with this tutorial, here’s what you’ll need:
The first thing we’ll need to do is create a repository on GitHub. The Digital Ocean app platform uses your repos to pull code from and builds from there.
Now, clone the Digital Ocean sample repository to another folder:
git clone https://github.com/digitalocean/sample-golang.git
Now, you can fork this. However, since we’re not going to be contributing changes back to that repo, and we don’t want to pull changes from it, it’s essentially a new project. So I’m just going to copy the files from that repo into mine.
git clone https://github.com/JeremyMorgan/GoZipCodeDigitalOcean.git
cp -r /sample-golang/* /GoZipCodeDigitalOcean
Now I have the sample code in my own repo:
Cool, now let’s push it up to Github.
git add .
git commmit -m "Initial Commit"
git push origin main
Now the sample project is available on my Github, where I can connect to it.
And click “Launch Your App”
Next, you’ll connect your Github to Digital Ocean.
You can give it permission to all of your repositories, or just certain ones (recommended).
Next, create your application and the branch you want to deploy from. I’m selecting “main” in my case.
You can choose whether to automatically deploy code changes here. Click next.
On the next screen, you can configure some things. Make sure Go is detected and set it up as a web service.
You can add a database here, but we’ll skip that and click next.
Then you’ll select a plan. Static sites are free but Go services are not, so I chose the $5 plan here. It’s sufficient for proof of concept and development sites.
Once you click next, your site will start deploying automatically.
And we’re up! Let’s test it out.
#api #software development #programming #paas #golang #platform as a service #golang app development #wen dev