Serverless Solution for Big Data, and Data Lake

Serverless Solution for Big Data, and Data Lake

Building a Serverless Analytics Solution - Serverless on different Cloud Platforms. Amazon Web Services Solutions offers Cloud Consulting, Cloud Migrations, and Managed Services for Cloud in AWS. Serverless Solution for Big Data, and Data Lake

What is Serverless Computing?

Serverless Cloud Computing enables self-service provisioning and management of Servers. However, as we know in the world of Big Data, Dynamic Scaling and Cost Management are the key factors behind the success of any Analytics Platform. So, the Server Architecture exactly does that many cloud platforms such as AWS, Microsoft Azure, etc. and Open Source Technologies like Apache has launched many services which are serverless in which code execution and will scale up or down as per the requirement, and we have to pay for Infra only for the execution time of our code.

To add more, serverless cloud computing’s main advantage is that developer does not have to think about servers ( or where my code will run) and he needs to focus on his code.

All Infra Design handled by some third-party services where the code runs on their containers using  Functions as a Service, and they further communicate with the Backend as a service for their Data Storage needs.4


With Serverless Architecture, developers don’t need to worry about updating servers or runtimes. Instead, they can focus on their core product.

Source: Building Applications with Serverless Architectures


Serverless on different Cloud Platforms

  • AWS:  Amazon Web Services Solutions offers Cloud Consulting, Cloud Migrations, and Managed Services for Cloud in AWS. Cloud Consulting Services offers experienced and AWS Certified experts with experience covering the entire AWS Serverless Architecture.
  • Azure:  Microsoft Azure offers application lifecycle and cloud maturity with innovative industry-proven solutions, customized to meet the Enterprise Cloud Requirements.
  • Google: Google enables an almost endless number of possibilities to manage, analyze, utilize your data with Google Cloud Platform customized to meet your unique business needs.
  • OpenFaas ( with Kubernetes): It helps to Deploy, Manage, and Maintain Private and Hybrid Clouds across any Infrastructure using Kubernetes.

OpenFaas is a concept of decomposing our applications into a small unit of work, it is based on serverless

Source: Serverless Architecture with OpenFaaS and Java

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