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Dynamic Routing with AWS Lambda@Edge

LaunchDarkly

TrueCar had been hosting its internet presence in one or more colocation facilities with traditional business, design, development, and operational staff working to produce a world-class website experience for consumers. Early in 2016, TrueCar decided to move internet operations off premises from its data centers to the AWS cloud.

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Are Cloud Serverless Functions Exposing Your Data?

Prisma Clud

Evaluating Public Access Across Cloud Providers Many architectural design questions arise when it comes to the use of serverless functions in cloud environments. AWS Cheat Sheet: Is my Lambda exposed? For a function to be publicly accessible, it must: Be accessible from the public internet (i.e., Already an expert?

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Serverless data integration solutions leverage cloud-based services, such as AWS Lambda, Google Cloud Functions, or Azure Functions, to execute data integration tasks on demand without needing dedicated servers or resource provisioning. However, it’s important to consider some potential drawbacks of serverless architecture.

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Learning Lambda — Part 8

Mike Roberts

Cold Starts This is Part 8 of Learning Lambda, a tutorial series about engineering using AWS Lambda. In this installment of Learning Lambda I discuss Cold Starts. In this installment of Learning Lambda I discuss Cold Starts. Way back in Part 3 I talked about the lifecycle of a Lambda function.

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Simulating Synchronous Operations with Asynchronous Code in Distributed Systems

Perficient

In this technical blog post, we will explore the limitations of Databricks regarding synchronous updates, introduce the pattern of “Simulating Synchronous Operations with Asynchronous Code,” and compare it with the widely adopted event-driven architecture. The events are then published to a message broker or event bus.

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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. Building architectures that optimize performance and cost at a high level is no longer enough. Principles of a good Data Architecture Successful data engineering is built upon rock-solid architecture.

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From portfolio analysis to serverless architectures: How to turn cloud migration into a business-transformation opportunity

Capgemini

Take, for example, serverless architecture, for which AWS has more than 50 services. After opting for AWS Lambda, the organization significantly reduced both the number of engineering resources required as well as infrastructure costs. In many cases, technical and business considerations are inextricably linked.