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Review of Industrial IoT Solutions – Part I

Perficient

It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Industrial IoT (IIoT) solution overview diagram. Solution Overview. Data Collection.

IoT 69
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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. New use cases: event-driven, batch, and microservices.

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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. Functions as a Service.

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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52
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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

IoT Fundamentals , June 17-18. Beginner’s Guide to Writing AWS Lambda Functions in Python , June 28. Deploying Container-Based Microservices on AWS , June 10-11. Designing Serverless Architecture with AWS Lambda , June 11-12. Exam AZ-103: Microsoft Azure Administrator Crash Course , June 12-13.

Course 46
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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

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170+ live online training courses opened for March and April

O'Reilly Media - Ideas

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Machine Learning for IoT , March 20. Designing and Implementing Big Data Solutions with Azure , March 11-12. Beginner’s Guide to Writing AWS Lambda Functions in Python , March 1. Microservice Collaboration , March 7.