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Are Cloud Serverless Functions Exposing Your Data?

Prisma Clud

More than 25% of all publicly accessible serverless functions have access to sensitive data , as seen in internal research. The question then becomes, Are cloud serverless functions exposing your data? AWS Cheat Sheet: Is my Lambda exposed? Azure Cheat Sheet: Is my Function exposed? Already an expert?

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How a Serverless Architecture Can Help You Secure Cloud-Native Applications

Tenable

The good news is that deploying these applications on a serverless architecture can make it easier to protect them. However, it can be challenging to protect cloud-native applications that leverage serverless functions like AWS Lambda, Google Cloud Functions, and Azure Functions and Azure App Service. Here’s why.

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5 Questions to Ask Before Going Serverless

Modus Create

When serverless architecture became all the rage a few years ago, we wondered whether it was just marketing hype. Was serverless really cloud 2.0 Serverless architecture’s popularity has risen over the past 5 years. While serverless brings immense benefits to businesses, it’s important not to rush into it.

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

CIO

Serverless data integration The rise of serverless computing has also transformed the data integration landscape. According to a recent forecast by Grand View Research, the global serverless computing market is expected to reach a staggering $21.4 billion by 2025. This can impact performance for infrequently used integrations.

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Announcing GA of DataFlow Functions

Cloudera

Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. DFF provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. DataFlow Functions.

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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. automate the handling of support tickets in a call center).

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.