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

Tenable

Cybersecurity teams often struggle with securing cloud-native applications, which are becoming increasingly popular with developers. The good news is that deploying these applications on a serverless architecture can make it easier to protect them. Here’s why. What is serverless? How can serverless help?

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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. billion by 2025.

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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. Fig2: DataFlow Functions runtime environments are available in AWS Lambda, Azure Functions, and Google Cloud Functions.

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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. So here are five questions you should ask before adopting the serverless architecture: 1.

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How to Build a Serverless Application Using Laravel and Bref

Modus Create

Serverless architecture has grown more popular since Amazon Web Services (AWS) introduced Lambda. There are a collection of guidelines and tools on Serverless security and Modus Create provides application security consulting, designed to enumerate threats, vulnerabilities, and risks. The New LAMP Stack: Serverless on AWS.

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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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NiFi as a Function in DataFlow Service

Cloudera

Functions as a Service (FaaS) is a category of cloud computing services that all main cloud providers are offering (AWS Lambda, Azure Functions, Google Cloud Functions, etc). It also effectively provides a serverless architecture and is very widely used when building microservices applications.