The Netflix TechBlog

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. Similarly, client teams don’t have to worry about when or how the data is written. in a video file.

Media 272

Media Latency Architecture Database 272

The Netflix TechBlog

NOVEMBER 9, 2022

At Netflix, we periodically reevaluate our workloads to optimize utilization of available capacity. We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS. a usage pattern occurring when 2 cores reading from / writing to unrelated variables that happen to share the same L1 cache line.

Hardware 363

Hardware Cache Performance Latency 363

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239

Latency Storage Traffic Tuning 239

The Netflix TechBlog

DECEMBER 19, 2024

Frequently, practitioners want to experiment with variants of these flows, testing new data, new parameterizations, or new algorithms, while keeping the overall structure of the flow or flowsintact. The standard dictionary subscript notation is also available. This has been a guiding design principle with Metaflow since its inception.

Best Practices 204

Best Practices Cache Metrics Code 204

The Netflix TechBlog

MARCH 28, 2025

Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources. Key insights from this shiftinclude: A Data-Centric Approach : Shifting focus from model-centric strategies, which heavily rely on feature engineering, to a data-centric one.

Tuning 165

Tuning Efficiency Latency Strategy 165

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Designed with High Availability in mind. This is crucial for repairs downstream when data has been lost or corrupted.

Database 221

Database Traffic Transportation Open Source 221

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 358

Open Source Java Operating System Programming 358

The Netflix TechBlog

JUNE 14, 2023

The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations. In such cases, we were not testing for response data but overall behavior.

Traffic 357

Traffic Latency Metrics Cache 357

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Designed with High Availability in mind. This is crucial for repairs downstream when data has been lost or corrupted.

Database 206

Database Traffic Transportation Open Source 206

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 258

Cache Latency Airlines Logistics 258

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. That’s a large amount of data to handle. This creates a lot of complexity given different data sources, components, and tools. of Micrometer.

Metrics 246

Metrics Java Latency Cache 246

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). In the Reliability space, our data teams focus on two main approaches. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 185

Infrastructure Cloud Scalability AWS 185

CSS Wizardry

SEPTEMBER 16, 2024

Last week, I posted a short update on LinkedIn about CrUX’s new RTT data. Chrome have recently begun adding Round-Trip-Time (RTT) data to the Chrome User Experience Report (CrUX). Where Does CrUX’s RTT Data Come From? RTT data should be seen as an insight and not a metric. RTT isn’t a you-thing, it’s a them-thing.

Latency 244

Latency Cache Transportation Mobile 244

Dynatrace

SEPTEMBER 2, 2020

As part of the Platform Extensions team, I’m one of those responsible for services that include the Dynatrace OneAgent SDKs, which are libraries that allow us to extend end-to-end visibility for technologies and frameworks for which there is no code module available yet. Instrument key portions of your application. Web Requests entry points.

Monitoring 279

Monitoring Cache Open Source Database 279

The Netflix TechBlog

APRIL 27, 2023

Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data. Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness.

Storage 297

Storage Cache Metrics Database 297

John McCalpin

FEBRUARY 17, 2025

In my previous post , I reviewed historical data on single-core/single-thread memory bandwidth in multicore processors from Intel and AMD from 2010 to the present. “Concurrency” is the amount of data that must be “in flight” between the core and the memory in order to maintain a steady-state system. .

Latency 71

Latency Hardware Cache Systems 71

The Netflix TechBlog

OCTOBER 29, 2020

This translates to a large number of app configurations to toggle feature availability and optimize the in-app experience for each production. These expressions are evaluated in the current app session context, and can access data such as A/B test assignments, locality, device attributes, etc.

Mobile 279

Mobile Cache Network Technology 279

Alex Russell

MARCH 31, 2022

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Suppose a user has only downloaded part of the cache.

Cache 89

Cache Government Traffic Network 89

Smashing Magazine

MAY 9, 2022

Performance Game Changer: Browser Back/Forward Cache. Performance Game Changer: Browser Back/Forward Cache. With that caveat out of the way, let’s get to the guts of the article: What is the Back/Forward Cache and why does it matter so much? Didn’t The HTTP Cache Do All That Anyway? Barry Pollard.

Cache 106

Cache Games Performance Website 106

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. More in the following sub-section.)

Availability 132

Availability Database Open Source Hardware 132

Dynatrace

DECEMBER 21, 2023

Growing awareness and increasing regulatory scrutiny have propelled carbon emissions data into the public consciousness. Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Level 1: Data centers This is the starting point for most organizations. A PUE of 1.0

Cloud 264

Cloud Energy Best Practices Cache 264

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 235

Systems Media Cache Open Source 235

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Load stage is to load the data and then run stage we run the test. Load is consistent for all dbs for all tests as expected as this phase is to load the data. Author & founder of BangDB. Workload C: Read only.

Benchmarking 308

Benchmarking Latency C++ Database 308

The Netflix TechBlog

JULY 12, 2019

Gatekeeper accomplishes its prescribed task by aggregating data from multiple upstream systems, applying some business logic, then producing an output detailing the status of each video in each country. there is no eviction policy, and there are no cache misses. there is no eviction policy, and there are no cache misses.

Cache 184

Cache Architecture Latency Engineering 184

Dynatrace

JULY 16, 2020

I wanted to leverage Dynatrace’s Environment APIs, for example to export timeseries data, get problem stats, or change configuration settings, like enforcing a certain data privacy setting. TenantCache: a cache to store tenant information and API token information and semi-permanent data to avoid unnecessary roundtrips. ?

Cache 289

Cache Serverless Efficiency Tuning 289

Scalegrid

JULY 8, 2020

If you must kill the script at this point, there are two options available: SCRIPT KILL command can be used to stop a script that hasn’t yet done any writes. The complete information on methods to kill the script execution and related behavior are available in the documentation. Behavior on Sentinel-Monitored High Availability Systems.

Servers 239

Servers Database Availability Monitoring 239

Dynatrace

OCTOBER 7, 2021

Amazon EventBridge: EventBridge to bridges the data gap between your applications and other services, such as Lambda or specific SaaS apps. Users control where their data goes in real-time, making it possible to create app architectures that respond to data sources on demand. Data Store. Improving data processing.

Serverless 325

Serverless AWS Lambda Storage 325

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables).

Azure 246

Azure Latency Metrics Infrastructure 246

Dynatrace

AUGUST 30, 2019

We have several YouTube Tutorials and blog posts available that show how you can use Dynatrace RUM data for Web Performance & User Experience Optimization. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Digital Performance improvement.

Cache 214

Cache Database Architecture Government 214

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. We also couldn’t compromise on performance and availability.” “We can analyze the data from those services in context.”

Cloud 243

Cloud Ecommerce Performance Retail 243

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Background The Netflix Android app uses the falcor data model and query protocol. For example, the artwork service is separate from the video metadata service, but we need the data from both in the detail key.

Latency 241

Latency Cache Java Traffic 241

Dynatrace

NOVEMBER 3, 2021

Logging provides additional data but is typically viewed in isolation of a broader system context. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Monitoring typically provides a limited view of system data focused on individual metrics.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

MAY 4, 2023

It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. It provides a good read on the availability and latency ranges under different production conditions. For instance, envision a response payload that delivers media streams for a playback session.

Traffic 347

Traffic Latency Tuning Systems 347

Dynatrace

MAY 17, 2023

OpenTelemetry, the open source observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable. OpenTelemetry then renders those connection details—such as connect, send, and receive times, connection status, and transmitted data size—back to the client.

Metrics 245

Metrics Open Source Traffic Cache 245

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 305

AWS Efficiency Azure Cloud 305