Nowadays, there are so many choices available to everyone. The more the number of options, the more are the chances that you’ll get confused and so more are the chances of mistakes. Same goes with cloud today.
We are living in the multi-cloud world, where there are multiple providers of cloud services, and an organization is free to use different cloud services for different operations.
Selecting one cloud solution over the other is no doubt determined by the business needs of an individual customer and the workloads he intends to run.
There has been a massive change in the expectations of the users regarding innovation and automation. So today, it’s not easy for an organization to choose the right solution for its applications.
No one provider can be everything for everyone. So to meet business goals, one can choose either one cloud hosting provider providing a mix of cloud services or best from different cloud providers.
Public cloud IaaS services continue to be the hottest segment of the cloud market and Microsoft Azure cloud, and Amazon Web Services are the two tech giants whose names come to the forefront when we talk about enterprise-level IaaS.
Both the companies continuously invest in meeting multiple demands of their users. So it’s difficult to understand which is the right option- Microsoft Azure vs. Amazon cloud.
So let’s discuss some of the features offered by both of them so that you can decide which cloud option is best for you –AWS vs. Azure.
Container as a Service Offering
CaaS is a form of container-based virtualization which delivers agility and portability. In this cloud, providers deliver container engines, orchestration and the underlying compute resources to users as a service.
Azure’s Container Service is based on the proven open source container orchestration technology, optimized to run in the cloud.
You can deploy your container-based applications on a framework that helps you to manage the complexity of containers deployed at scale, in production.
Azure Container Service is built on 100% open source software and gives you a choice between two popular orchestration engines: Mesos based DC/OS or Docker Swarm. It allows you to migrate container workloads to and from Azure public cloud.
EC2 is the Amazon’s Container Service (ECS) that is highly scalable and extensible. With AWS EC2, you can easily manage clusters for any scale, schedule long-running applications and batch jobs.
It integrates well with other services- Elastic Load Balancing, Elastic Block Store, Virtual Private Cloud, IAM, and CloudTrail, thus, providing you a complete solution for running a wide range of containerized applications or services.
Cloud storage is an incredibly valuable and important tool to keep your business’s critical and sensitive data safe and accessible. So understand your requirements and consider your budget before deciding Microsoft Azure or Amazon Web Services India.
MS Azure offers a set of highly scalable, globally accessible and low-cost storage services for different business needs.
For your unstructured data, Azure provides Blob Storage, Queue storage to store messages, Premium storage for companies with high-performance needs.
Azure also provides File, Queues and Tables storage for its different users.
But if your business needs secure and ephemeral storage i.e. temporary, then AWS is capable of allocating storage when an instance starts and destroying it when the instance terminates.
Other storage offered by AWS are Block storage-equivalent to hard disks, object storage which comes with the S3 Service, Archive storage, and integrated storage.
The science of predictive analytics –the machine learning, is a boon for the data-driven business. Is your business the same?
Machine learning at your side eliminates the need of advanced statistician for your business as it helps you to forecast future behaviors, outcomes, trends and make more accurate inferences on businesses own data sets.
Azure’s machine learning is “simple enough for a high schooler to be able to use it”. It is designed for applied machine learning data.
It is designed for applied machine learning data exploration, descriptive analytics, and predictive analytics. Azure’s ML is a fully-managed service and eliminates the need to buy any hardware or manage virtual machines manually.
Create predictive analytics solutions with:
- An extensive library of Machine Learning algorithms and modules.
- A studio to create predictive models.
- Cortana Intelligence Gallery–an easy way to deploy your model as a web service.
Amazon Machine Learning is based on the Leverage Proven Technology and charges no setup costs. Deriving predictions for your applications with simple APIs is easy.
AWS’s Machine Learning makes it easy to obtain predictions for your applications with their simple APIs
AWS’s Machine Learning makes it easy to obtain predictions for your applications with their simple APIs and use powerful algorithms to create ML models as per your existing data.
It is a managed service that provides complete model creation, deployment, and monitoring. Azure is the best fit when your business needs-
- A more personalized customer experience.
- Delivery of targeted marketing campaigns.
- Identification of potentially fraudulent retail transactions, or inappropriate item reviews.
- To find clients who are at the high risk of attrition, enabling you to engage them proactively with promotions or customer service outreach.
You can also build back-ends for iOS, Android, and Windows device.
Amazon Web Services have released an experimental ‘Go’ programming language AWS SDK via their AWS Labs Github account, supporting 43 AWS services includingEC2, S3, and RDS.
The pricing structure is the most important element which you need to look while making a cloud purchase.
Azure charges its customers for the number of minutes the resources are used, without any upfront cost. Azure also offers short-term commitments with discounts.
AWS charges customers for number of hours used, so AWS instances are billed on the basis of:
- On demand –Pay for what you use without paying any upfront cost.
- Reserved –Reserve instances for 1 or 3 years but pay upfront cost, based on the utilization.
- Spot –Pay for the extra capacity available.
If there is any doubt regarding this write-up, feel free to drop comments in the section below.