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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

The sidecar has been implemented by leveraging the highly performant eBPF along with carefully chosen transport protocols to consume less than 1% of CPU and memory on any instance in our fleet. The choice of transport protocols like GRPC, HTTPS & UDP is runtime dependent on characteristics of the instance placement.

Network 325
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing. Storage: don’t break the bank!

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Plan Your Multi Cloud Strategy

Scalegrid

Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Adopting spot instances for less critical tasks, which are less expensive than on-demand or reserved instances, is an efficient way of managing expenses.

Strategy 130
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Watch webinar now! Networking.

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Snap: a microkernel approach to host networking

The Morning Paper

I’m jumping ahead a bit here, but the component of Snap which provides the transport and communications stack is called Pony Express. Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Enter Google! Emphasis mine).

Network 92
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Measuring Carbon is Not Enough?—?Unintended Consequences

Adrian Cockcroft

Buildings, food and transport have a much bigger carbon footprint than IT globally. In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down.

Energy 52
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Data Mesh?—?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

It reads events from the upstream transports and applies some business logic to each of them. An intermediate processor writes data to another transport. More Processing Patterns And Better Efficiency People use Data Mesh not only to move data. Please stay tuned! Processors A processor is a Flink Job.