Serverless Computing Options With AWS, Azure, Google Cloud

Serverless Computing Options With AWS, Azure, Google Cloud

Serverless computing involves on-demand function execution for application deployment. Serverless provides agility in application development to stay ahead of a world of rapid changes and innovations. O’Reilly conducted a survey with 1500 IT professionals in 2019 and 40% confirmed being associated with organizations working on serverless options. Owing to benefits linked to cost-savings, on-demand execution, and non-stop availability, it is expected that the adoption of serverless computing will only go up further in the coming years.

Serverless Computing Options With AWS, Azure, Google Cloud

The options are growing too. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are three great options for serverless computing services, and features offered by these three market giants vary from one another.

Serverless Computing on AWS  (Click Here to Tweet)

AWS offers numerous options in serverless computing, application integration, and data storage. AWS Lambda and AWS Fargate are the two popular options.

  • AWS Lambda: AWS Lambda provides the ability to virtually run code for the applications or services with no administration. It also provides the mechanism to write code in any preferred language and utilize serverless and container tools. AWS SAM and Docker CLI are some of the popular tools under AWS Lambda. Continuous scaling, cost optimization, and improved performance are some of the benefits offered by AWS Lambda.
  • AWS Fargate: It is a serverless compute engine that promotes security through application isolation by design and easily deploys and manages applications. AWS Fargate works with Amazon’s Container and Kubernetes services. The customer needs to pay only for the resources involved in running the containers thereby helping control costs in a volatile setup.

Serverless computing options by AWS also cover application integration and data storage with ample choices available in these two areas. Amazon API Gateway, Amazon SQS, Amazon EventBridge, Amazon SNS, etc. are a few options offering scalable and hassle-free application integration. Amazon S3 is the data store that uses serverless computing to enable scalable data storage while maintaining essential data properties, such as availability, integrity, and confidentiality at all times. Amazon Aurora Serverless, Amazon DynamoDB, and Amazon RDS Proxy are the other data store options available.

Serverless Computing on Azure (Click Here to Tweet)

Microsoft’s growing focus on the cloud has meant that Azure presents itself as a viable option in most cloud-linked spaces and serverless is no different. Azure Serverless is now a popular choice with multiple options offered to the end-users in the areas of compute, workflows and integration, database, monitoring, storage, and others.

Customers can select from a wide range of serverless execution environments without bothering about the infrastructure management activities irrespective of application or service type. Azure Kubernetes Services (AKS) is a powerful serverless computing option to create serverless Kubernetes-based applications. Open-source functions runtime provide the option to execute serverless functions written in any language.

Azure serverless API management provides the mechanism to manage and monitor the APIs to enable smooth workflows and robust integration. Azure Event grid enables serverless messaging and simplification of event-based scenarios. Azure also provides an option to build serverless applications using relational and non-relational databases. Azure SQL Database serverless and Azure Cosmos DB are two options present. Azure Blob Storage gives the options to create static applications and supports the scalable storage of unstructured or semi-structured data. A durable functions feature is also included under Azure serverless computing features, enabling the development and execution of stateful serverless functions.

Serverless computing services and options by Azure have many striking similarities with AWS and a few differences. Azure offers broader language support than AWS Lambda. C#, F#, and JavaScript are fully supported by Azure with many other languages supported in experimental or preview modes.

Google Cloud Serverless Computing Options (Click Here to Tweet)

Google Cloud serverless computing options eliminate the need for all infrastructure management by enabling source code/container development or deployment. Google App Engine is the primary serverless computing platform offered by Google. However, it supports JavaScript as the only language unlike a wide range of options available in Azure of AWS serverless computing options. Third-party wrappers can be used with the Google Cloud platform to execute other languages, such as Python.

Google Cloud serverless platforms provide the mechanism to build, develop, and deploy scalable APIs. REST APIs can also be developed and managed for web and mobile applications. Complex event requirements of these applications can be handled by Google Cloud through automated event orchestration. Current and future data processing requirements are considered to manage the autoscaling and authorization aspects of the apps. Scalable and pay-per-use functions as a service (FaaS) options are provided by Google Cloud serverless platforms to run the codes without any need for server and infrastructure management. Apart from the Google App Engine, Cloud Run and Cloud Functions are the other options provided by Google Cloud.


Serverless has gone mainstream in recent years due to the flexibility and benefits that it offers. It’s a fair bet that serverless will further expand and it will be closely synced with the container ecosystem. The event-driven approach in serverless will continue to connect everything present on the cloud. As that happens, expect more application development to become serverless-focused. The choice of serverless platform will ultimately be driven by the specific needs and available skill sets. That said, these are all great choices.

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azure and AWS

AWS and Azure: The Business Enablers for 2020

A few weeks ago Amazon Web Services announced its new industrial IoT support platform – AWS IoT Sitewise. Not long before that, Microsoft Azure launched a Healthcare Emergency Response Solution. Even in tough times, these two cloud services have stayed committed to growth.

Now, product development organizations consist of remote and distributed teams of skilled and cost-effective talent from across the world. Of course, the pandemic has driven the sudden dominance of the cloud. Expanded “Work from home” measures are accelerating cloud adoption.
azure and AWS
In that scenario, both AWS and Azure have much to offer. While AWS is committed to aiding businesses of all kinds with flexibility and scalability, Azure has been allowing businesses to develop and deploy their services uninterrupted.

Some businesses are still struggling with stepping up to cloud adoption. The lack of technical experience has put them in a peculiar situation. They are skeptical about accepting the cloud as the new normal, but they cannot deny its necessity.

For such companies, let’s take a look at how both AWS and Azure can accelerate business impact now.

Based on these benefits, organizations can know AWS and Azure better. They may thus be able to make a choice based on what works best for them.

  • Native Tools and services: Over, time AWS and Azure, both have evolved from being mere cloud computing and storage facilitators. AWS is capable of providing complex services that take care of database management, software development assistance, networking, mobility, analytics, etc. On the other hand, Azure offers an array of specific applications for business needs. These applications have been aiding various industries like healthcare, financial service, and even governments. The native tools and services provided by AWS and Azure have been aiding businesses with cloud computing, security, administrative compliance, and access to a new age technology stack, among other benefits. Businesses of all sizes can be relieved of the burden of picking and investing in good infrastructure and third-party tools from multiple vendors. Moreover, native tools and services help with better monitoring and tracking at different stages of management and administration. These are savings in both capital and operational expenditure for the businesses.
  • Storage Capacity: Let’s start with AWS. In the storage front, AWS can handle a business’ current needs and allow future growth as well. The storage capacity is practically unlimited. AWS saves businesses from crippling data storage limits. The distributed cloud storage also makes the data less vulnerable to malware or cybersecurity issues. More on that later. These storage services offered by AWS are very well handled by the AWS Storage Gateway. For the same context, Azure offers a platform called the Azure Storage platform. This cloud storage solution has been built to handle new-age software needs like scalability, virtual machine handling, communication data, etc. Azure storage is meant to offer qualities like – durable storage, high availability, data security, easy accessibility, and more
  • Security: Security is front and center for both services. Azure, for instance with its multiple compliance certifications, is deemed safe for even high-risk industries. That is the reason, many governments and healthcare organizations adopt it for cloud services. With features like network security, key logs, multi-factor authentication among others, Azure ensures that both the business services and the end-users are safe. Security with AWS is about safe information exchange, trusted infrastructures, etc. AWS has multiple data centers spread out globally. The business and end-user data and processes are all safe and secure. AWS offers security features like Identity Access Management, Cloud Trail, S3 security, etc. All of these come together to relieve businesses of all their security concerns.
  • Agility: The core idea behind business agility is faster development and provisioning for future changes of direction. With practices like DevOps, agile principles are wedded to automation and cloud services. Obviously, it makes sense for two of the most popular cloud services to provide agile features from the get-go. AWS, for instance, offers all its resources at one stop. This makes development faster and more agile. With its storage capabilities, security assurance, and reliable infrastructure, AWS can encourage even conventionally non-agile organizations to attain agility at scale. Azure too has been allowing businesses to evolve from their legacy processes and bring business agility with a move to the cloud. Applications can be built, managed, and deployed in minimal time. Both AWS and Azure support DevOps along with technologies like Microservices, Containers, Serverless, etc. This means that even for more futuristic products and services, provisions for agile development are already in place.
  • Affordability: With all these services, both AWS and Azure can help businesses achieve acceleration. In addition, even for start-ups, they can prove to be very cost-effective. AWS offers infrastructure on demand. This means that the business can use whatever resources they need for however long they need them. Azure is capable of scaling its services and resources as per the business size and needs. The pay-as-you-go price model allows small scale businesses to employ only the required services and resources. In fact, both AWS and Azure, encourage businesses to optimize resource utilization. They offer the preferred Operating System, technology stack, network management, etc. at an affordable price and 100% brand reliability from Amazon and Microsoft.


Amazon Web Services and Microsoft Azure have been giants in the cloud-computing game. Both have vast experience and committed customer bases. There is also the trust that comes with the Microsoft and Amazon brands. Both cloud solutions are committed to helping businesses of all scales and sizes to evolve at a steady pace. The cloud adoption choice has never been easier for organizations to make. The hard part is separating the vendors. That often comes down to the specific features you want to use and the commercial deal available to you at that time. One thing is sure. AWS or Azure are both proven solutions.