Metrics, Transportation and Tuning - Technology Performance Pulse

How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

JUNE 7, 2021

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

Network Transportation AWS Cloud

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

Dynatrace

OCTOBER 15, 2020

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.

Transportation

Transportation Monitoring Metrics Code

Kubernetes vs Docker: What’s the difference?

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. Watch webinar now! Observability.

Open Source

Open Source Traffic DevOps Cloud

Delta: A Data Synchronization and Enrichment Platform

The Netflix TechBlog

OCTOBER 15, 2019

Data Pipeline using Delta In the following sections, we are going to describe the Delta-Connector that connects to a datastore and publishes CDC events to the Transport Layer, which is a real-time data transportation infrastructure routing CDC events to Kafka topics. Please stay tuned.

Transportation

Transportation Architecture Processing Storage

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

OCTOBER 19, 2020

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.

Infrastructure

Infrastructure Transportation Storage Open Source

Forrester TEI™ Study Shows Tasktop Can Deliver a Customer ROI of 496% Over Three Years With a Payback Period of Less Than 3 Months

Tasktop

MARCH 30, 2021

This allowed the interviewees’ organizations to seamlessly integrate their toolchains across departments and teams, generating a consistent set of Flow Metrics. hours per week by no longer needing to manually develop and report their own metrics. Make sure you stay tuned for future product announcements by subscribing to Mik’s list. .

Transportation

Transportation Tuning Metrics Analytics

Towards a Reliable Device Management Platform

The Netflix TechBlog

AUGUST 30, 2021

MQTT is an OASIS standard messaging protocol for the Internet of Things (IoT) and was designed as a highly lightweight yet reliable publish/subscribe messaging transport that is ideal for connecting remote devices with a small code footprint and minimal network bandwidth.

Latency

Latency Traffic Transportation Hardware

Plan Your Multi Cloud Strategy

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.

Strategy

Strategy Cloud Government Innovation

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

The Netflix TechBlog

AUGUST 1, 2022

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.

Processing

Processing Transportation Entertainment Tuning

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

The Netflix TechBlog

MARCH 25, 2019

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).

Infrastructure

Infrastructure Big Data Transportation Architecture

Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

JULY 26, 2021

Data Quality Data Mesh provides metrics and dashboards at both the processor and pipeline level for operational observability. However, it is paramount that we validate the complete set of identifiers such as a list of movie ids across producers and consumers for higher overall confidence in the data transport layer of choice.

Big Data

Big Data Government Analytics Processing

HTTP/3 From A To Z: Core Concepts (Part 1)

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?

Transportation

Transportation Internet Internet Network

HTTP/3: Performance Improvements (Part 2)

Smashing Magazine

AUGUST 22, 2021

An often used metaphor is that of a pipe used to transport water. One aspect of performance is about how efficiently a transport protocol can use a network’s full (physical) bandwidth (i.e. As such, tuning congestion logic is usually only done by a select few developers, and evolution is slow. Congestion Control.

Performance

Performance Network Latency Servers

HTTP/3: Practical Deployment Options (Part 3)

Smashing Magazine

SEPTEMBER 6, 2021

As such, a micro-optimization is, again, how you probably need to fine-tune things on a low level to really benefit from it. I would personally recommend using Cloudflare or Fastly because they have been intimately involved in the standardization process and will have the most advanced and well-tuned implementations available.

Network

Network Servers Cache Traffic

Technology Performance Pulse

How Netflix uses eBPF flow logs at scale for network insight

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

Trending Sources

Kubernetes vs Docker: What’s the difference?

Delta: A Data Synchronization and Enrichment Platform

Building Netflix’s Distributed Tracing Infrastructure

Forrester TEI™ Study Shows Tasktop Can Deliver a Customer ROI of 496% Over Three Years With a Payback Period of Less Than 3 Months

Towards a Reliable Device Management Platform

Plan Your Multi Cloud Strategy

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

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

Data Movement in Netflix Studio via Data Mesh

HTTP/3 From A To Z: Core Concepts (Part 1)

HTTP/3: Performance Improvements (Part 2)

HTTP/3: Practical Deployment Options (Part 3)

Stay Connected