Remove Benchmarking Remove Latency Remove Traffic
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Investigation of a Workbench UI Latency Issue

The Netflix TechBlog

Using this approach, we observed latencies ranging from 1 to 10 seconds, averaging 7.4 However, when we captured packets on the ZeroMQ socket while reproducing the issue, we didn’t observe heavy traffic on this socket that could cause such blocking. Meanwhile, traffic from other ports, such as port 22 for SSH, remained unaffected.

Latency 214
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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. Latency is the time that it takes a request to be served. Reliability.

Software 266
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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

Edgar captures 100% of interesting traces , as opposed to sampling a small fixed percentage of traffic. Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service. Is this an anomaly or are we dealing with a pattern?

Latency 298
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

AWS 38
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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5.5 mm in 1.25 nanoseconds

Randon ASCII

Back in the day I wrote a lot of benchmarks in order to look for places where the actual performance of the CPU didn’t match what we expected. I wrote a lot of benchmarks. One benchmark I wrote measured the L2 cache latency. So, anyway. Standard stuff. So that’s interesting. Since the Xbox 360 CPU ran at 3.2 mm distance!

Cache 126