Microsoft Azure, AWS and Google Cloud are three biggest platforms used by businesses throughout the world.
If you are looking forward to upgrading your skill and increasing your value to employers, you must be trained in one of these platforms.
Now, the question is, which certification should you choose?
In this blog, we will explore each of these certifications and try to find out what should you choose on the basis of your experience, skills and goals.
Amazon Web Services or AWS
Amazon is a comprehensive and widely accepted cloud service provider. Its commendable features like serverless cloud functions, mobile-friendly access, databases and storage help it to stand ahead of its competitors.
AWS is a cloud platform that holds a significant share of the cloud market. It offers around 175 services and the list includes analytics, storage, developer tools, compute, database management, networking, IoT, management, security and enterprise applications.
The pricing structure of this model is quite complex and thus, it is more expensive than other platforms.
Advantages
- Global presence
- Leading cloud innovator
- Commendable training materials
- Feature-rich and mature cloud technologies
Disadvantages
- Complicated billing system
Microsoft Azure
Microsoft Azure allows to increase as well as decrease computation power depending on need in just a few minutes.
This is also a popular option, offering a range of services. It works best with Microsoft services and products and is preferred by most enterprises.
Microsoft Azure is Amazon’s one of the strongest contenders. It comes with three models of services, like IaaS, PaaS and SaaS. They are used by software and the developers alike to deploy, create as well as manage application and services through the cloud.
Advantages
- Familiar environment for the native users of Microsoft
- Hybrid cloud
- Easy to integrate with other Microsoft products
Disadvantages
- Complex interface
- Poor documentation
- Costly pricing structure
Google Cloud Platform
Google Cloud Platform is a premier cloud service provider. Though this is the most recent of the above-mentioned cloud service providers, it is fast gaining pace with compute capabilities, storage options and services. Google Cloud Platform or GCP offers only a small range of services but this is suitable for the machine learning tasks.
Perfect for modern businesses, it is a valued option for skills and employability.
Advantages
- Live migration of VMs or virtual machines
- Cost effective pricing model
- Superb management and integration of Google APIs and Kubernetes
- Commendable toolset for machine learning and artificial intelligence
Disadvantages
- Smaller global presence as compared to AWS and Microsoft Azure
- Limited product range
You can learn AWS if you are a newbie or fresh out of college. As AWS comes with an easy UI, it is quite attractive for the beginners. Moreover, a number of tutorials are also available online to help you use its services. You can use the communities and groups for AWS if you have any query. AWS will also prove helpful for the entry-level jobs. However, if you are interested in specialised fields like machine learning or big data, it is better to opt for GCP. If you are considering applying for a position in an organisation that commonly uses Microsoft services, opt for Azure.
