Remove Analytics Remove Ecommerce Remove Latency
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Most Common RabbitMQ Use Cases

Scalegrid

Use cases for RabbitMQ encompass areas like order processing in eCommerce, real-time notifications, and multiplayer gaming, showcasing its adaptability to different operational needs. RabbitMQ excels at managing asynchronous processing and reducing latency while distributing workloads effectively across the system.

IoT 130
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Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

Amazon DynamoDB offers low, predictable latencies at any scale. The Amazon.com ecommerce platform consists of hundreds of decoupled services developed and managed in a decentralized fashion. Customers can typically achieve average service-side in the single-digit milliseconds. History of NoSQL at Amazon â??

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A one size fits all database doesn't fit anyone

All Things Distributed

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 166
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52
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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

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A Management Maturity Model for Performance

Alex Russell

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency.