The Netflix TechBlog
JUNE 7, 2021
By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. Without having network visibility, it’s difficult to improve our reliability, security and capacity posture.
The Morning Paper
NOVEMBER 10, 2019
Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. I’m jumping ahead a bit here, but the component of Snap which provides the transport and communications stack is called Pony Express.
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The Netflix TechBlog
OCTOBER 19, 2020
Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.
Smashing Magazine
AUGUST 9, 2021
For example, while HTTP deals with URLs and data interpretation, Transport Layer Security (TLS) ensures security by encryption, TCP enables reliable data transport by retransmitting lost packets, and Internet Protocol (IP) routes packets from one endpoint to another across different devices in between (middleboxes). What Is QUIC?
Dynatrace
SEPTEMBER 29, 2021
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. Networking. Watch webinar now!
The Netflix TechBlog
AUGUST 30, 2021
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. Fault Tolerance If the underlying KafkaConsumer crashes due to ephemeral system or network events, it should be automatically restarted.
Scalegrid
MARCH 22, 2024
Consistently evaluating and tuning resource allocations based on use patterns helps prevent overprovisioning and reduces unnecessary expenses. Optimization of cloud expenses is attainable by implementing automation in resource administration, which dynamically adapts resources to actual consumption levels.
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