Remove 2019 Remove Benchmarking Remove Traffic Remove Tuning
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

We took a hybrid head-based sampling approach that allows for recording 100% of traces for a specific and configurable set of requests, while continuing to randomly sample traffic per the policy set at ingestion point. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

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Have You Tested Your App Performance & Capacity Recently?

Apica

2019 will go down as the year when giants collided over who is streaming the right content to win the growing market demand and dollars. Load and stress-testing benchmark goals for the backend technological components. Disney announced they would have a streaming service, while Netflix subscribers reached an all-time high with 137.1

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The Speed of Time

Brendan Gregg

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. In 2019 myself and others tested kvm-clock and found it was only about 20% slower than tsc. include <sys/time.h>

Speed 126
article thumbnail

The Speed of Time

Brendan Gregg

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. In 2019 myself and others tested kvm-clock and found it was only about 20% slower than tsc. include <sys/time.h>

Speed 40