Azure vs AWS comparison: Which Works Best for Serverless Architecture?

Azure vs AWS comparison: Which Works Best for Serverless Architecture?

You have heard “serverless computing” for more than a heard, but it’s really hard to decide which one is best for you. Isn’t it? With the utilization of serverless computing, enterprises can easily devote its efforts towards the core business without thinking about the infrastructure which supports it. The business gets charged by the serverless vendor based on computation. It proves beneficial as it doesn’t require you to reserve and pay for any fixed bandwidth or servers being used.   

With the utilization of serverless computing, the companies devote every efforts towards the core business without worrying the underlying infrastructure. The serverless computing removes infrastructure management tasks like server or cluster provisioning, OS maintenance and so on. 

Azure is a cloud service platform built by Microsoft. This cloud-based service provider offers services in different domains like compute, storage, networking, developer tools and other functionality which help companies to upgrade their businesses.  

It was launched in the year 2016 with AWS Lambda. Azure services are basically: 

1. Platform as a service(PaaS) 

2.Software as a service (SaaS) 

3. Infrastructure as a Service 

AWS(Amazon Web Service ) offer services in different domains like computation, storage , delivery , functionality to help businesses grow. These domains can be utilised in the form of creation and deployment of different types of applications in the cloud platform. 

Azure Functions offer similar set of services to Amazon with a set of Microsoft languages and tools. Its server less platform offers great functionality, its key features include: 

  • It supports a great range of languages, which are available with limited support. 
  • Like for instance, C#, Javascript, F# are supported on Azure functions, while Java , Python , PHP, Typescript , PowerShell are available in experimental and preview mode.  
  • It made Azure’s list of supported languages for server less longer as compared to AWS Lambda. 
  • With the availability of Durable functions feature on Azure, as it offers the ability of creation and execution with preview support. 
  • It is a widely utilised server-less platform as it offers support for the various languages you need. 

Let’s compare the features and services of AWS and Microsoft Azure based on different insights: 

 Pricing: 

These cloud-based service providers have monthly free-tier quota, and cost is offered after certain amount of quota is reached.  

This table shows the prices in terms of free tier quota and how much additional usage costs. 

Both AWS and Azure have identical pricing and free monthly quotas. 

Language Support 

Every programming language has its strengths and weaknesses, so you need to pick up the best one for the right job. Cloud providers generally support most of the popular languages in their respective offerings. 

AWS supports C#, Go, Java, Node.js, PowerShell, Python, Ruby. 

Azure Functions C#, F#, Java, Node.js, PowerShell, Python, TypeScript 

Azure serverless architecture lacks the support for GO. 

Scalability  

When an event is received, an instance of the function is spun up and then the request is processed. The instance is kept alive to process subsequent events and if none are received within a certain time frame, it is recycled.  

All three providers advertise automatic scaling, although there are other factors which might be at play here. 

Execution time and Concurrency 

When a request is processed by an instance, another request is received, a second instance is spun up to process this additional request. Concurrency is the number of simultaneous functions which can run at any given time. 

AWS limits the concurrency rate to 1000 executions at a time with a maximum execution time of 15 minutes. For an individual function or the complete account, concurrency can be easily configured. 

On the other plate, azure serverless architecture offers an unlimited concurrency rate but limits maximum execution time for a single function to 5 minutes and 10 minutes as an upgrade. 

AWS- standard- 1000 per region  

reserved- varies 

provisioned- varies 

Trigger Types 

Triggers are often provided with the help of other cloud services every vendor has. Generally every major vendor support scheduled invocation of a function, calls on demand and integrations with cloud services. You can find more detailed information is the user documentation for each provider.  

For AWS, there are API gateways for API triggers, file based triggers via Amazon S3, dynamic triggering performed via DynamoDB. Azure serverless architecture offers web API triggering, scheduled invocation and trigger types performed with other Microsoft services. 

Deployment Methods 

The deployment in a serverless framework requires a developer to utilise serverless.yml to configure functions or changes made into it. Then the code of functions is generally packed into Zip files and pushed to the server. The aws serverless architecture updates every separate function of your app, while Azure tends to parse serverless.yml via different resources with order differences. 

Pricing Models and Billing Factors 

AWS offers a free-tier which includes 1 million requests and 400,000 GB seconds of computing time per month. This free-tier allows running your app before billing starts. The memory and CPU are billed as a single unit as both grow proportionally. The additional expenses may be derived from usage of other AWS services. 

Azure- This free tier is mostly identical but the heavy load costs on Azure are a bit lower as compared to AWS and equal to AWS for the average load. These cloud-based architecture development companies proves to be a great choice as you can gain more profits than you incur. 

Isolated Networks 

AWS utilizes VPC (virtual private cloud) enable users to create isolated private networks within the cloud. In terms of networking, it ensures API gateways for cross-premises connectivity and ensures smooth operation by utilizing elastic load balancing.  

Azure serverless architecture enables users to create isolated networks, subnets, network gateways since it utilises a virtual network rather than a VPC. 

Database 

Both AWS and Azure have robust database offerings if you need a relational database or a NoSQL offering. 

Since the SQL database of Azure is based on Microsoft SQL only, on the other hand the relational database service of Amazon supports following engines like Amazon Aurora, Microsoft SQL, MariaDB, MySQL,Oracle and PostgreSQL. 

Azure and AWS works perfectly with NoSQL, durability, offers easy and automatic replication. 

Which Cloud Platform works the best for services architecture? 

When it comes to comparing these cloud providers, since these offer mature and robust serverless computing in terms of features and cost. AWS is the more mature and most popular, while Azure Functions appears to have similar features. 

Microsoft’s Azure has enhanced the speed of Azure’s development process by adapting its pre-existing on premises solutions for the cloud. Moreover, many worldwide organizations and enterprises rely on Microsoft applications and solutions. Since organizations rely upon Microsoft solutions a lot, hence customers find it easy to rely upon Azure. 

Azure based architecture is less enterprise ready than AWS. Its overwhelming dominance in the cloud services has a pre-existing infrastructure where other cloud service providers fail. Since it is not a cheap option, the organizations find it difficult to make AWS pricing structure manage costs effectively. 

The Conclusion 

You must have a better understanding of these cloud based architecture development companies -Azure and AWS. If you are searching for a wide range of services or infrastructure as a service then you must opt for AWS. However, if you are searching for windows integration or a good platform as a service, then you should opt for Azure. 

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