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

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Cloud Computing Trends and Innovations

Apiumhub

In the past few years, cloud computing has become a common word. In fact, According to the Worldwide Semiannual Public Cloud Services Spending Guide, worldwide spending on public cloud services will grow at a 19.4% Cloud Computing Trends: What is Cloud Computing?

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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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Fundamentals of Data Engineering

Xebia

Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers.” The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

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Cloud Cost Optimization – How to Manage Cloud Cost Effectively

RapidValue

Cloud computing has changed the way we engineer and deliver applications. As cloud computing models have begun to proliferate and evolve, it’s critical that technology leaders start making informed decisions about which products, services, and payment models deliver the best results. Key Challenges of Cloud Cost Optimization.

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