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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities. Azure digital twins serve a different purpose.

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. Developed by none other than Apple, HLS is vital in minimizing delays, known in the tech world as latency!When

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. Developed by none other than Apple, HLS is vital in minimizing delays, known in the tech world as latency!When

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Scalable MicroService Architecture

VoltDB

Think of a monolithic application eCommerce application (albeit, super simplified scope) that has the following modules: Each of these functions could have different utilization levels and to have an entire application to scale to the maximum level is going to be consuming resources incongruent to utilization. Real-World Example Problem.

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Scalable MicroService Architecture

VoltDB

Think of a monolithic application eCommerce application (albeit, super simplified scope) that has the following modules: Each of these functions could have different utilization levels and to have an entire application to scale to the maximum level is going to be consuming resources incongruent to utilization. Real-World Example Problem.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others.