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Build scalable Low-Code backends with Booster

The Agile Monkey

However, these tools may not be suitable for more complex data or situations requiring scalability and robust business logic. We are two developers from The Agile Monkeys with a strong background in iOS development, but very limited experience with backend production projects. Why this tutorial? WTF is Booster? create a topic).

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IBM and AWS Partnership Accelerates Cloud Modernization

CIO

What they are less decisive about is how to map the right cloud modernization journey, one that is efficient and secure while delivering business agility and competitive advantage. A majority of companies are confident in a future built around hybrid cloud, according to a recent poll conducted by The Harris Poll and IBM.

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Optimizing Medication Management: How AWS ETL Transforms Healthcare Data for a Leading PBM

Perficient

Scalability Demands As the volume of data grows, the systems have to handle & manage the data without compromising on performance. S3 provides availability, security, and scalability, all of which come at a significantly low cost. Scalability AWS provides EC2 instances that can be scaled up or down.

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Fundamentals of Data Engineering

Xebia

The data engineer is also expected to create agile data architectures that evolve as new trends emerge. Understand the cultural foundations of Agile, DevOps, and DataOps. Architect for scalability. First, scalable systems can scale up to handle significant quantities of data. Plan for failure. Architecture is leadership.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

Figure 4: After creating a draft from a ReadyFlow, you can customize it to fit your use case Agile, iterative, and interactive development with Test Sessions When opening a draft in the Designer, you are instantly able to add more processors, modify processor configuration, or create controller services and parameters.

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Cloud Computing Trends and Innovations

Apiumhub

This event-driven model enhances efficiency, scalability, and cost-effectiveness. Technical Example : Serverless Computing with AWS Lambda Scenario: A serverless architecture dynamically scales resources in response to events, such as incoming requests or changes in data. It delivers agility, scalability, and efficiency.

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Serverless is easier than you think

The Agile Monkey

As you might expect in this kind of architecture, we delegated all the heavy logic to the backend , which were basically endpoints pointing to AWS Lambda functions. For example, AWS has services like Cognito , Polly , S3 , DynamoDB , Lambda , SNS , API Gateway , Rekognition , and many more that are widely used in serverless architectures.