Serverless ETL Piepelines

Our cloud-based serverless implementation is a cutting-edge solution that revolutionizes the way businesses build and deploy applications. By leveraging the power of cloud computing and the serverless architecture, we enable organizations to streamline their development process, increase scalability, and reduce operational costs.

With our solution, businesses can focus on writing code for specific functions rather than worrying about managing servers and infrastructure. This allows developers to be more agile and productive, delivering updates and new features quickly to meet market demands.

Client

Various

SERVICES

DevOps, Data

WEBSITE

Africa, Europe and USA

TB Daily Data Processed
0
Business Rules Implemented
0
Happy Customers
0
ETL Pipelines deployed
0 +

How System Works

The functions are hosted in a cloud provider's environment, such as AWS Lambda or Microsoft Azure Functions.

The cloud provider automatically allocates the necessary resources to execute the function based on the incoming event. Resources are scaled dynamically, ensuring optimal performance and cost efficiency. Functions can scale up or down as needed, handling workload fluctuations seamlessly.

The system provides monitoring and management capabilities, allowing administrators to track function performance, resource utilization, and overall system health. They can analyze metrics, set alarms, and make adjustments and can dynamically be managed by our DevOps setup.

Value Add

The system dynamically allocates resources to handle workload fluctuations, ensuring optimal performance and efficient resource utilization. As a result, organizations can easily handle spikes in user traffic or sudden increases in demand without worrying about overprovisioning or resource constraints. This scalability leads to cost efficiency, as businesses only pay for the actual usage of the functions, rather than maintaining and paying for idle resources. It eliminates the need for upfront infrastructure investments and allows organizations to scale their applications without the traditional overhead of managing servers.

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