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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154
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Kubernetes for Big Data Workloads

Abhishek Tiwari

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges. Performance.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. Utilizing cloned real traffic, we can exercise the diversity of inputs from a wide range of devices and device application software versions in production.

Traffic 339
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The Need for Real-Time Device Tracking

ScaleOut Software

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis. The post The Need for Real-Time Device Tracking appeared first on ScaleOut Software.

IoT 78
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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

Latency 52
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Expanding the Cloud ? introducing the Asia Pacific (Sydney) Region.

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. This new Asia Pacific (Sydney) Region has been highly requested by companies worldwide, and it provides low latency access to AWS services for those who target customers in Australia and New Zealand. All Things Distributed. Expanding the Cloud â?? Comments ().

Cloud 117
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Introducing the AWS South America - All Things Distributed

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 114