Remove Hardware Remove Network Remove Speed Remove Tuning
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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+. ” That’s 4-8x the speed of evolution and feedback cycles. ” That’s 4-8x the speed of evolution and feedback cycles.

Network 92
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Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

We were very pleased to see that AV1 streaming improved members’ viewing experience, particularly under challenging network conditions. AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions.

Media 246
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What is chaos engineering?

Dynatrace

To test the hypothesis, chaos engineers orchestrate simulated uncertainty combined with load testing and watch for signs of upheaval in the services, infrastructure, networks, and devices that deliver the application. Speeds incident response. Any failures in the stack break the hypothesis. Blast radius. That’s a good thing.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. “Logging” is the practice of generating and storing logs for later analysis.

Analytics 205
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation. Throughput Ensuring optimal performance and efficient handling of many queries is crucial for Redis, as it offers exceptional speed and minimal delay. It could also indicate a potential issue, say, an expensive query.

Metrics 130
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How to Assess MySQL Performance

HammerDB

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For the network, we can use Iperf to assess the network bandwidth between the client and the database server to ensure it will be enough to meet our peak requirement.

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Trip report: Autumn ISO C++ standards meeting (Kona, HI, USA)

Sutter's Mill

Instead, you want a library that is tuned for your target hardware architecture and ready for par_unseq vectorized algorithms, for blazing speed. SG4 (Networking) continued working on updating the networking proposal for std::execution senders and receivers. This is that library.

C++ 107