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Run Serverless containers on AWS / Azure / Google Cloud

What Is Serverless Cloud Computing?

Serverless is a cloud computing deployment model to execute applications by running functions on-demand. The main advantage of serverless is that it allows an application, or part of an application, to be deployed in whenever required. It does not require an always running execution environment. serverless computing is an execution strategy for the cloud. A cloud provider may be google cloud or Aws or Azure, dynamically allocating and charging the user for—only the compute resources and storage required to deploy a specific piece of code.

Thus, serverless execution models can help to save money. Instead of maintaining a server 24/7, companies can deploy code in a serverless environment and pay only for the consumed resources.

serverless execution models

Some of the brand cloud migration consulting providers of IT help in the form of cloud services are Amazon Web Services, Google Cloud, Microsoft Azure, IBM Cloud, etc. Undeniably, there are other best-quality companies in this escalating international mix, with names such as Salesforce, Alibaba, Rackspace, TenCent, Equinix, Oracle, Dell EMC, and other Tier 2 and 3 players. But just because these companies are not in the top four doesn’t mean they won’t be the right choice for your business. Smaller and more professional is what many organizations prefer and search out.

This article will explore three of the top four at a high business level. The effect of the Big 3 in the market, think of them in this prospect: 

  • Next-gen and small-to-medium-size companies usually buy azure
  • Google Cloud used mainly by developers working on enterprise applications; and
  • AWS is being bought by everybody else—about one-third of the market

Container Workloads: “Do It Yourself” vs. Managed Services 

The most crucial factor you have to examine when running container workloads on cloud providers is whether you need to use managed services or commodity services (“do it yourself”).

 “Do It Yourself” gives you more control over your container environment’s abilities. The typical cloud services can save time in maintaining the systems, as they are centrally managed and more stable. Altogether using managed services to run container workloads can free up your engineering resources to focus on higher-value work.

There are various options within managed services, such as how much of the infrastructure management you need to control and how much you want the cloud providers to take on for you. Usually, the trade-off is between cost, convenience, and control.

What Services Does Each Cloud Provider Offer?

Kubernetes plays a prominent role in the container function space, and all three principal providers deliver a managed Kubernetes service. Initially, it was Google Cloud with Google Kubernetes Engine (GKE) in 2014, followed by Azure with Azure Kubernetes Service (AKS) in 2017, and ultimately AWS followed with Elastic Kubernetes Service (EKS) in 2018. While there are dissimilarities in their details, all of these services are broadly alike in their general contribution. 

Each cloud provider also provides a registry service to build and store your container images. Google has Google Container Registry (GCR), Amazon has Elastic Container Registry (ECR), Azure has Azure Container Registry (ACR). 

What Services Does Each Cloud Provider Offer?

What is AWS, Azure, Google Cloud: Advantages and Disadvantages

1. AWS

The cloud service platform from Amazon is Amazon Web Services (AWS), which offers services in various domains that include storage, compute, delivery, and other functionalities.  AWS helps enterprises to scale and grow. AWS uses these domains in the form of services that can be used to deploy various types of applications in the cloud platform. These services work with each other and yield a productive and scalable result. AWS services are divided into three types:

  • Infrastructure as a service (IaaS)
  • Software as a service (SaaS)
  • Platform as a service (PaaS)

Amazon launched AWS in 2006. It is the most-purchased cloud platform among existing available cloud platforms. Cloud platforms provide many advantages such as cost minimization, management overhead reduction, and many others.

AWS cloud service platform


  • AWS was first to market in 2006. More than two years, there were no serious competitors. It bolsters this leadership by continuing to invest in its data centers. Thus its dominates the public cloud market
  • One of the main reasons for its popularity is the enormous scope of its global operations.
  • AWS has a massive and growing array of available services. And also the complete network of global data centers
  • Gartner has outlined AWS as “the most mature, enterprise-ready (cloud services) provider, with the vastest abilities for ruling a huge number of resources and users “


  • Expensive
  • They also have adversity managing these costs effectively when running a considerable volume of workloads on the service
  • Complex process

2. Microsoft Azure

Azure provides a set of container services that is similar to AWS. AWS Fargate and ECS are Azure Container Instances (ACI), an alternate clustering solution for containerized workloads. The main difference between AWS ECS and ACI is that ACI is sketched from the ground up to run on servers managed by Azure rather than by the users themselves. Ultimately, Azure’s equal to App Mesh is Azure Service Fabric.

Azure is designed and built by Microsoft and launched in 2010. It competes directly with AWS by offering services in domains that include database, developer tools, compute, storage, networking, and other functionality, enabling enterprises to grow their businesses.

Azure services are classified as:

  • Platform as a service (PaaS),
  • Software as a service (SaaS) and
  • Infrastructure as a service (IaaS)

They all can be used by software employees and developers to create, manage, deploy services and applications through the cloud.

azure developer services


  • Microsoft came four years after AWS but gave itself a kick-start by taking its popular in-house business software– Office, Windows Server, Dynamics Active Directory, SQL Server, Sharepoint, .Net, and others
  • A big reason for Azure’s success is apparent: Many companies deploy Windows and other Microsoft software. Because Azure is fully integrated with these other applications, businesses that use a lot of Microsoft software prefer to use Azure
  • Existing Microsoft enterprise customers can enjoy Significant discounts on service contracts


  • Gartner has had some reservations about the design and makeup of the platform. “While Microsoft Azure is an enterprise-ready platform, Gartner clients report that the service experience feels less enterprise-ready than they expected, given Microsoft’s long history as an enterprise vendor,” the researcher said
  • This doesn’t occur with all customers, but there are enough unsatisfied customers to take into account their objections

3. Google Cloud

Google Cloud is a cloud computing platform. It was developed by Google and launched in 2008 and written in C++, Java, Python, including Ruby. It also offers various services that are IaaS, PaaS, and Serverless platform. Google cloud is classified into different platforms, such as Google Compute Engine, Google Cloud Datastore, Google Big Query, Google Cloud SQL, Google App Engine, and Google Cloud Storage. Google cloud platform offers high-level computing, networking, storage,  and databases. It also provides different networking options, such as cloud CDN, virtual private cloud, cloud DNS, load balancing, and other additional features.

Even before Google Cloud emerged, Google was an innovator in container-based services and even containers themselves: Google engineers were incorporated into the introduction of containers to the Linux kernel by introducing groups back in 2006.

serverless computing platform


  • Users count on Google’s engineering expertise.
  • Google has an ideal offering in application container deployments
  • GCP focuses on high-end computing offerings such as machine learning and big data, analytics
  • It also delivers substantial scale-out options and data load balancing


  • Google doesn’t deliver as many different services and features as AWS and Azure
  • Although it is quickly expanding, it also doesn’t have as many global data centers as AWS or Azure


While AWS or Azure might better meet your production needs, GCP may be the best choice for new product assessment and initial development workloads.  AWS grabs the prize with 62 percent (for now) when it comes to market share. This is due to the length of time on the market, and the number of features reaches. However, that doesn’t certainly translate to what’s better for your company. Our aim with this head-to-head comparison is to help enterprise owners like you make decisions. If most of your business functions run on Microsoft products, Azure might work better for you. Companies that need less reach and more innovation might prefer Google Cloud Platform.
In the end, the choice is yours. Choose wisely
Vaidyanathan Ganesa Sankaran

Vaidyanathan Ganesa Sankaran

Vaidy is an experienced lead Solutions Architect heading sales and project delivery for Cloud (AWS, Azure), DevOps and legacy Modernization projects with a demonstrated history of working in the information technology and services industry. He is a strong engineering professional with a Master of Science (MS) focused in Computer Software Engineering from BITS Pilani. He has the capability to manage bigger teams and generate revenue through new Sales and Account Mining.

One reply on “Run Serverless containers on AWS / GCP / Azure”

Enterprises increasingly are seeing the cloud as a digital transformation engine as well as a technology that improves business continuity. As work was forced to go remote due to stay-at-home orders, tasks were largely done on cloud infrastructure.

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