The Netflix TechBlog

OCTOBER 19, 2020

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. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. That said, it should also be monitored for usage, which will exhibit the traffic pressuring them. This is not an exhaustive list but an example of what we can watch for.

Performance 106

Performance Monitoring Traffic Database 106

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 279

Traffic Metrics Systems Strategy 279

Scalegrid

DECEMBER 16, 2019

Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. While adequate for low-traffic applications, small databases, and dev/test environments, we recommend against leveraging shared clusters for your MongoDB production deployments.

Azure 187

Azure AWS Latency Database 187

The Netflix TechBlog

NOVEMBER 22, 2019

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. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

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. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. There are certain metrics to be considered for a user to have a hassle-free experience. Network latency. Network Latency. Network latency can be affected due to. The list goes on and on. Connection time.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Percona

SEPTEMBER 1, 2023

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Key metrics such as CPU usage, memory usage, and disk I/O offer insights into how efficiently your database server operates. Avoid over-indexing, which can bloat storage and slow writes.

Tuning 52

Tuning Database Performance Hardware 52

O'Reilly Software

APRIL 30, 2018

Harnessing DNS for traffic steering, load balancing, and intelligent response. As applications have moved from local data centers to the public cloud, the role of DNS has expanded to the current role of a sophisticated director, controlling global and site load balancing, traffic steering, and providing intelligent response to user requests.

Cloud 68

Cloud Traffic Internet Internet 68

The Morning Paper

OCTOBER 10, 2019

The foundation of Pinterest’s approach to learning embeddings is classification based, following the architecture described in ‘[Classification is a strong baseline for deep metric learning][ClassificationForDL].’ Using traffic-weighted samples of queries, two sets of 10K (question, answer) tasks per visual search product are built.

Latency 58

Latency Storage Architecture Traffic 58

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. While RDS MySQL supports multiple storage engines with varying capabilities, not all of them are optimized for crash recovery and data durability.

AWS 52

AWS Database Serverless Storage 52

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The Moto G4 , for example. Baselines And Budgets Remain Vital.

Performance 124

Performance Network Cache Metrics 124

Adrian Cockcroft

APRIL 18, 2018

In reality, in any non-trivial installation, there are multiple tools collecting, storing and displaying overlapping sets of metrics from many types of systems and different levels of abstraction. This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

The Netflix TechBlog

NOVEMBER 22, 2019

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. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 37

AWS Entertainment Open Source Benchmarking 37

Highly Scalable

MAY 1, 2012

This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Computation of more advanced metrics like a number of unique visitor or most frequent items is more challenging and requires a lot of resources if implemented straightforwardly. Case Study. Case Study. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. For systems that are latency sensitive, creating two independent ways to succeed is an important technique for greatly reducing the 99th percentile latency.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. For systems that are latency sensitive, creating two independent ways to succeed is an important technique for greatly reducing the 99th percentile latency.

Latency 53

Latency Engineering Systems Hardware 53

Dynatrace

AUGUST 5, 2019

Resource consumption & traffic analysis. What is the network traffic going to be between services we migrate and those that have to stay in the current data center? How much traffic is sent between two processes hosting a certain service? Step 3: Detailed Traffic Dependency Analysis. What’s in your stack?”.

Cloud 31

Cloud Traffic Database Network 31

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Getting Ready: Planning And Metrics Performance culture, Core Web Vitals, performance profiles, CrUX, Lighthouse, FID, TTI, CLS, devices. Getting Ready: Planning And Metrics. DOM complete, time to first byte, first input delay, client CPU and memory usage. Get a free trial of LogRocket today.

Performance 145

Performance Cache Media Metrics 145

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar captures 100% of interesting traces , as opposed to sampling a small fixed percentage of traffic. This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics).

Latency 296

Latency Transportation Engineering Traffic 296

Alex Russell

OCTOBER 22, 2017

This helps support executive sponsors who then have meaningful metrics to point to in justifying the investments being made. Very rarely have we seen a team succeed that doesn’t set budgets, gather RUM metrics, and carry representative customer devices. Teams with budgets also find it easier to track and graph progress.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

JULY 14, 2021

Meanwhile, on Android, the #2 and #3 sources of web traffic do not respect browser choice. This reduces friction and commensurately increases "engagement" metrics. [6]. On Android today and early iOS versions, WebViews allow embedders to observe and modify all network traffic (regardless of encryption). How can that be?

Google 121

Google Mobile Engineering Internet 121

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Setting Realistic Goals. Defining The Environment.

Performance 103

Performance Cache Metrics Network 103

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., Assembly for two of the metrics (e.g.

Media 171

Media Innovation Metrics Latency 171

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 167

All Things Distributed

JANUARY 18, 2012

s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. The growth of Amazonâ??s

Scalability 167

Scalability Database Ecommerce Latency 167