Remove 2018 Remove Blog Remove Efficiency Remove Latency
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bpftrace (DTrace 2.0) for Linux 2018

Brendan Gregg

Screenshot: tracing read latency for PID 181: # bpftrace -e 'kprobe:vfs_read /pid == 30153/ { @start[tid] = nsecs; } kretprobe:vfs_read /@start[tid]/ { @ns = hist(nsecs - @start[tid]); delete(@start[tid]); }'. Here's key differences as of August 2018: Type DTrace bpftrace. It's shaping up to be a DTrace version 2.0:

C++ 110
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bpftrace (DTrace 2.0) for Linux 2018

Brendan Gregg

Screenshot: tracing read latency for PID 181: # bpftrace -e 'kprobe:vfs_read /pid == 30153/ { @start[tid] = nsecs; } kretprobe:vfs_read /@start[tid]/ { @ns = hist(nsecs - @start[tid]); delete(@start[tid]); }'. Here's key differences as of August 2018: Type DTrace bpftrace. It's shaping up to be a DTrace version 2.0:

C++ 40
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. This architecture shift greatly reduced the processing latency and increased system resiliency. divide the input video into small chunks 2.

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Service Workers can save the environment!

Dean Hume

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Processors and memory consume the most power on the server, followed by the power supply efficiency loss. CPU Utilization and Power Consumption (Source: Blackburn 2008).

Energy 40
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Service Workers can save the environment!

Dean Hume

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Processors and memory consume the most power on the server, followed by the power supply efficiency loss. CPU Utilization and Power Consumption (Source: Blackburn 2008).

Energy 40
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Service Workers can save the environment!

Dean Hume

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Processors and memory consume the most power on the server, followed by the power supply efficiency loss. CPU Utilization and Power Consumption (Source: Blackburn 2008).

Energy 40
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SVT-AV1: an open-source AV1 encoder and decoder

The Netflix TechBlog

As mentioned in our earlier blog post , Intel and Netflix have been collaborating on the SVT-AV1 encoder and decoder framework since August 2018. The teams have been working closely on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving compression efficiency.