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Towards a Reliable Device Management Platform

The Netflix TechBlog

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. Fault Tolerance If the underlying KafkaConsumer crashes due to ephemeral system or network events, it should be automatically restarted.

Latency 213
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Plan Your Multi Cloud Strategy

Scalegrid

They can also bolster uptime and limit latency issues or potential downtimes. Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems. By spreading your data and apps around, you can get your systems to work together more smoothly and make the most out of your budget.

Strategy 130
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Snap: a microkernel approach to host networking

The Morning Paper

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand. Enter Google!

Network 92
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How Park ‘N Fly eliminated silos and improved customer experience with Dynatrace cloud monitoring

Dynatrace

Organizations are rapidly adopting multicloud architectures to achieve the agility needed to drive customer success through new digital service channels. Park ‘N Fly’s business relies on successfully integrating its booking system with its custom-built kiosks located at its off-airport parking lots. “As

Cloud 157
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RPCValet: NI-driven tail-aware balancing of µs-scale RPCs

The Morning Paper

Last week we learned about the [increased tail-latency sensitivity of microservices based applications with high RPC fan-outs. Seer uses estimates of queue depths to mitigate latency spikes on the order of 10-100ms, in conjunction with a cluster manager. So what we have here is a glimpse of the limits for low-latency RPCs under load.

Latency 80
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Why I hate MPI (from a performance analysis perspective)

John McCalpin

This is an intellectually challenging and labor-intensive exercise, requiring detailed review of the published details of each of the components of the system, and usually requiring significant “detective work” (using customized microbenchmarks, hardware performance counter analysis, and creative thinking) to fill in the gaps.

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Transforming enterprise integration with reactive streams

O'Reilly Software

Build a more scalable, composable, and functional architecture for interconnecting systems and applications. Welcome to a new world of data-driven systems. Today, data needs to be available at all times, serving its users—both humans and computer systems—across all time zones, continuously, in close to real time.