Remove Hardware Remove Monitoring Remove Network Remove Tuning
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. This blog post lists the important database metrics to monitor. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation.

Metrics 130
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Synthetic monitoring of internal applications extended to Windows-based ActiveGates!

Dynatrace

Having the ability to monitor the performance and availability of your organization’s internal applications—in addition to your organization’s customer-facing applications—from within your corporate network is an important benefit of synthetic monitoring. Compliance with hardware requirements. Dynatrace news.

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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. Lack of end-to-end observability and monitoring into all systems a blast radius might affect is a common problem.

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Towards a Reliable Device Management Platform

The Netflix TechBlog

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. 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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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product.

Tuning 52
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A case for managed and model-less inference serving

The Morning Paper

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.