AWS Vs. Azure Vs. Google Cloud | STT

AWS Vs Azure Vs GCP

Overview:
Amazon Web Services AWS - 1:21
Microsoft Azure - 2:31
Google Cloud Platform GCP - 3:31

Computational Comparison: 4:17
Amazon Web Services AWS Compute - 4:42
Microsoft Azure Compute - 5:32
Google Cloud Platform GCP Compute - 6:18

Storage Comparison: 6:50
Amazon Web Services AWS Storage - 7:05
Microsoft Azure Storage - 7:54
Google Cloud Platform GCP Storage - 8:33

Key Tool Comparison: 9:07
Amazon Web Services AWS Key Tools - 9:28
Microsoft Azure Key Tools - 10:00
Google Cloud Platform GCP Key Tools - 10:34

Price Comparison: 10:54
Amazon Web Services AWS Pricing - 10:59
Microsoft Azure Pricing - 11:14
Google Cloud Platform GCP Pricing - 11:30

Advantages & Disadvantages: 12:01
Amazon Web Services AWS Advantages & Disadvantages - 12:06
Microsoft Azure Advantages & Disadvantages - 12:45
Google Cloud Platform GCP Advantages & Disadvantages - 13:21

Final Verdict: 13:44
When to use AWS - 14:10
When to use Azure - 14:28
When to use GCP - 14:46


Cloud computing has gained popularity in a very short time and has become a key driving force for numerous businesses today. A model where a third-party vendor hosts and maintains core infrastructure including software, hardware, servers, and storage for a customer is called IaaS, Infrastructure-as-a-service. The customers receive a highly scalable environment for their applications and are charged for the infrastructure they use.
The public cloud providers with the biggest market share are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) in the infrastructure as a service (IaaS) and platform as a service (PaaS) sectors. It is important to note that all these platforms are not the same. You should compare them based on the size, goals, budget, and expected growth rate of your company. Each one offers varied features; as a result, one vendor may be more compatible with your business model than others. A comprehensive overview of all three cloud providers.

AWS has dominated the market ever since it entered the sector in 2006 in laaS, SaaS and PaaS. Microsoft has remained strong in SaaS and GCP has artificial intelligence as its strength.

Amazon Web Services
The vast toolset with the breadth and depth of its services continues to be the key strength for AWS. While Amazon’s capabilities remain unmatched with translating its scale into economic benefits for customers
With an intensive infrastructure, AWS allows data delivery on a global scale and deploys it faster without affecting the accessibility of performance or service. It supports all operating systems and focuses on the public cloud instead of a hybrid or private cloud. It offers the following services:
1. Compute
2. Databases and storage solutions
3. App integration
4. Developer, management, and engagement tools
5. Machine learning and predictive analytics
6. Business productivity tools

Microsoft Azure
Preferred choice of enterprises that have had a relationship with Microsoft. With exceptional cloud infrastructure, enterprise’s needs are taken care of in one place including software, productivity, and cloud computing. With the ideal combination of Azure, Teams, and Office 365, Microsoft is a safe bet for customers with hybrid cloud vendors.
Azure provides different services IaaS, PaaS, and SaaS and supports operating systems including the Linux and Microsoft Windows. It comes with built-in and ready to run server apps that support languages like .NET, Java, PHP, Node.js, and Python. Microsoft Azure offers:
1. DevOps
2. Blockchain technology
3. IoT integration
4. Big data and predictive analytics
5. Scalable data warehousing
6. Game and app development

Google Cloud Platform
Relatively new but well-funded Google Cloud Platform is an IaaS, PaaS, and Serverless platform provider with proficiency in open source technologies especially containers. Technologies like Kubernetes for orchestration and Istio service mesh are on their way to becoming industry standard.
GCP draws corporate customers with their profound technical expertise and tools in artificial intelligence, machine, and deep learning, and data analytics. Services include:
1. SMB business analytics and AI
2. App development
3. Data management and storage
4. Productivity and workload management tools


Savants Tech Talk Episode 40
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