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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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eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker

AWS Machine Learning - AI

eSentire has over 2 TB of signal data stored in their Amazon Simple Storage Service (Amazon S3) data lake. All of this was entirely automated with the software development lifecycle (SDLC) using Terraform and GitHub, which is only possible through SageMaker ecosystem.

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Growing digital product development trends in 2023

Modus Create

Serverless architecture Search results for “serverless architecture” over the past 5 years (2/24/2023) Serverless architecture allows developers to create products without managing the underlying infrastructure. You don’t have to provision servers to run apps, storage systems, or databases at any scale. billion in value.

Trends 75
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CNAPP, DSPM and DDR: A New Age in Cloud Security

Prisma Clud

Data-Centric Capabilities are Key to Prioritizing CNAPP Incidents Cloud-native development results in a sprawling attack surface spanning containers, virtual machines (VMs), serverless platform-as-a-service (PaaS), IaC, and more. When there are so many components to secure, there’s a lot that can go wrong.

Cloud 52
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Top Mobile App Development Software 2021

Openxcell

The mobile app development platform architecture should support various API mediation, microservices, event-driven, serverless requirements to build a robust mobile application. This includes many important back-end services such as location services, offline synchronization, data, file storage, push notifications, user management, etc.

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HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

AWS Machine Learning - AI

The solution uses the following AWS data stores and analytics services: Unstructured data Amazon Simple Storage Service (Amazon S3) buckets are used to store the JSON-based social media feedback data, quality report PDFs (specific to OEMs), and the vehicle and its features images.