Remove Metrics Remove Transportation Remove Tuning
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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 327
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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. Please stay tuned! Processors A processor is a Flink Job. It contains a reusable unit of data processing logic.

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OpenTelemetry 101: A nontechnical guide for IT leaders and enthusiasts

Dynatrace

Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics. Metrics are typically aggregated and stored in time series databases for monitoring and alerting purposes.

Latency 264
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World’s first and only fully automatic observability for Golang services now extended to statically linked Go applications

Dynatrace

Improve cloud platform management with deeper insights into platform metrics. Automatically monitor all important Go metrics. Upon checking the Go-specific metrics of the foxy process, a suspicious, continuous increase of goroutines can be observed. Transports should be reused instead of created as needed. Do much more.

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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! Observability.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

This was the most important question we considered when building our infrastructure because data sampling policy dictates the amount of traces that are recorded, transported, and stored. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can billing).