Mike Warner

 
Home    Subscribe    Contact    Login

AWS vs Azure vs Google: Cloud Wars 2019

by mike (follow)
In this digital era, everything is stored on the cloud. From an individual's personal information to a company’s annual data, everything lives up above on the cloud. This is great for synchronization between various different platforms and devices. But not just this everything you see online is handled on cloud storage. For example, this website you are currently viewing is hosted on some hosting providers on the cloud.

Individual’s data is not big cloud companies main focus point but rather whole organizations that host their products online. The three main giants in terms of cloud services and hosting services are Google, AWS, and Azure. All three of these are multi-billion dollar companies with enough expense at hand to experiment with all their cloud curiosities.



Image1


AWS seems to be the most famous among individual developers and companies these days. AWS looks very cost effective as compared to Google and Azure. You can actually track every single penny in your console in AWS and make predictions as to what the future expenditure looks like. But this doesn’t mean Google and Azure are very far off. Azure has currently followed this same footstep and now offers price estimation tools too. Google cloud platform seemed to lack in this regard previously but now it is also catching up.

So, as of right now the fight to dominate the cloud is pretty tough between these three. And yes there are few other cloud providers too but these three are the main go-to of most developers and organizations because of their reputation and stability. We will discuss the battle between these three giants of the cloud and find out why one has an upper hand as compared to others. And also which of these fulfill your cloud desires.

Amazon Web Services (AWS)
Amazon web services (AWS) are already trusted by a number of large IT companies throughout the world with really complex systems and it has been proven worthy over time. The AWS data centers are spread globally across many countries and connected through the fiber link. Data centers are grouped into zones which are continent-specific, some continents have more than one zone and these zones also keep increasing.

Billing is handled wonderfully in AWS and the cost of computing time is calculated even for milliseconds. There are a lot of AWS training programs and AWS certification that anyone can enroll in and easily understand the AWS workflow. Usually, people migrate to AWS because of this easy billing services, the security that AWS offers and its automation.
AWS main selling point apart from being cheap and effective is three specific services, which are as follows.

AWS CodeBuild
The AWS CodeBuild service is exclusive to AWS, it provides continuous integration and continuous delivery along with auto-scaling. Auto-scaling is when two or more builds are deployed at the same time and comparison testing occurs while deployment. CodeBuild is very cost effective, as you are billed for each minute for using computing resources.

AWS CodePipeline
Every senior developer knows the advantages of having pipelines in your project. The AWS codePipeline helps build, deploy and test simultaneously every time you make a release. This kind of pipeline becomes a part of the project itself as whenever a build fails the code will not be deployed and you will be getting a build failed message according to the tests that you wrote, Whenever a single test case fails, the whole build fails. For CodePipeline you for what you use.

AWS CodeDeploy
AWS CodeDeploy helps you deploy your code to more than one instance at once. CodeDeploy also helps overcome downtime while deployment by handling various complex edge cases of updating the application while deployment. It can be easily be incorporated for most legacy code.
These are the most commonly used DevOp tools in AWS, apart from these some third-party tools can also be incorporated with AWS like Jenkins, Puppet, Chef, etc.

Microsoft Azure
Microsoft Azure is a public cloud platform by Microsoft. Since it is by Microsoft it doesn’t have very high regard in the open source community. But Microsoft is focusing on changing that. Microsoft Azure has many data centers in place throughout the world. Azure is used to building, deploy and run automated tests on the builds. Apart from this azure allows you to add cloud functionalities to an existing system through its Platform as a service model.
Azure aims to be a single platform that can handle all your cloud needs in the traditional Microsoft manner, it is simple and easy to use. Although you can learn easily and get started with Azure your self, but its better to have Azure certification like Azure Developer certification or some other of the sort on hand. So, that organizations know that you have good command over most tools in azure.
Here are some of the tools and capabilities of Microsoft Azure.

SQL Databases
You can have one to unlimited relational SQL databases in Azure. And also use them as a service. This helps reduce the cost of maintaining different databases.


Virtual Machines
It is fairly easy to create virtual machines (Windows and Linux) in Azure. You can add custom images to these VM's also.


Application Services
You can easily create and deploy applications across multiple web and mobile platforms through Azure. Azure provides some built-in API for other Microsoft products like the Office or SalesForce for example. Having such services available at your disposal is a massive plus point.

Storage
Microsoft has one of the best data storage infrastructure out there. Scalability is no issue in azure and there are many cost-effective plans for scalability in Azure.

Google Cloud Platform
Google is a bit different from these two companies in terms of cloud services. There is no doubt that Google is the number one when it comes to users data on the cloud.

Google Cloud Platform is a bundle of various services that perform similar to the infrastructure that can be found on Google’s own products like YouTube.

Google Cloud Platform is undoubtedly one of the most complex and advanced computer networks out there. Hence there are a number of tools that Google provides you for building your application and making it work smoothly, some are as follows.
Google Compute Engine

Google compute engine manages virtual machines and launches them on demand for you. Compute Engine VM’s are fast in terms of performance. And the virtual servers can be configured to any unique requirement. It is somewhat similar to Amazon’s EC2.


GCP Deployment Manager
Google Cloud Deployment Manager handles all the uncomfortable tasks like specifying each step before deployment. Rather with the GCP Deployment Manager, you can specify all resources that will be required by your application in a declarative format using YAML.


GCP Cloud Console
This console provides a view for everything happens in your Google Cloud Platform. It is like a central hub to manage all your DevOps in the cloud. It helps you in multiple deployments, scaling up your applications or infrastructure, and monitoring all the cloud resources. DevOps becomes very easy thanks to GCP Cloud Console.

These are just some key tools that Google cloud platform provides you. There are many detailed tools for further integration that Google provides.
I like this Article - 1
Share: email  facebook  twitter
More Articles by mike
view all articles by mike
ID: 95933
[ Submit a Comment ]
Trending Articles
Categories
 
Copyright 2012-2018 OatLabs ABN 18113479226. mobile version