Remove Latency Remove Network Remove Systems Remove Transportation
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Snap: a microkernel approach to host networking

The Morning Paper

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. I’m jumping ahead a bit here, but the component of Snap which provides the transport and communications stack is called Pony Express.

Network 92
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

which is difficult when troubleshooting distributed systems. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

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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. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

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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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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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

As an online booking platform, we connect travelers with transport providers worldwide, offering bus, ferry, train, and car transfers in over 30 countries. We aim to eliminate the complexity and hassle associated with travel planning by providing a one-stop solution for all transportation needs.

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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.