The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit was designed to help you adjust your data and add the proper context, which can be helpful in the observability backend. See the example below. managed-by: Helm app.kubernetes.io/name:

Best Practices 255

Best Practices IoT Metrics Storage 255

The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. For example: {“device_type”: “ios”}.

Latency 242

Latency Storage Traffic Tuning 242

The Netflix TechBlog

FEBRUARY 13, 2023

Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.

Media 299

Media Storage Infrastructure Systems 299

All Things Distributed

AUGUST 20, 2012

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud â??

Storage 115

Storage Cloud AWS Media 115

High Scalability

NOVEMBER 14, 2018

Five years ago when Google published The Datacenter as a Computer: Designing Warehouse-Scale Machines it was a manifesto declaring the world of computing had changed forever. The world is still changing, so Google published a new edition: The Datacenter as a Computer: Designing Warehouse-Scale Machines, Third Edition.

Design 54

Design Education Google Internet 54

Dynatrace

MAY 21, 2024

The whole experience is designed to fit into your individual data governance and compliance framework. Masking at storage: Data is persistently masked upon ingestion into Dynatrace. With this three-layer design, you enjoy maximum flexibility in managing sensitive data points end-to-end.

Government 221

Government Storage Tuning Monitoring 221

Dynatrace

OCTOBER 4, 2022

A data lakehouse addresses these limitations and introduces an entirely new architectural design. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). Grail is built for such analytics, not storage.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Buckets are similar to folders, a physical storage location. There is a default bucket for each table.

Artificial Intelligence 270

Artificial Intelligence Metrics Analytics Storage 270

Smashing Magazine

DECEMBER 6, 2021

Designing Better Links For Websites And Emails: A Guideline. Designing Better Links For Websites And Emails: A Guideline. Compare the following examples: bit.ly/30SjUa4y if the information is read-only or editable); The file size is crucial for people with costly internet, slow connection, or limited local storage.

Website 142

Website Design Internet Internet 142

Dynatrace

APRIL 28, 2023

Customers must comply with internal and external policies and regulations that might demand them to keep specific data stored for a minimum period of time (for example, audit logs). For example, suppose data has to be retained for a longer period because of legal or business reasons.

Analytics 225

Analytics Storage Infrastructure Metrics 225

The Netflix TechBlog

OCTOBER 27, 2020

For example, in order to enhance our user experience, one online application fetches subscribers’ preferences data to recommend movies and TV shows. The data warehouse is not designed to serve point requests from microservices with low latency. Let’s look at an example of a Bulldozer YAML configuration (Figure 3).

Latency 254

Latency Storage Big Data Tuning 254

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 248

Retail Storage Best Practices Architecture 248

Dynatrace

AUGUST 1, 2022

Kubernetes was initially designed with a strong focus on stateless workloads, meaning these workloads do not need to store any persistent data. Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. What about my persistent volume provider?

Storage 200

Storage Database Network Metrics 200

Dynatrace

JUNE 10, 2024

For example, an organization might use security analytics tools to monitor user behavior and network traffic. Security analytics solutions are designed to handle modern applications that rely on dynamic code and microservices. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse.

Analytics 243

Analytics Network Open Source Hardware 243

Dynatrace

AUGUST 11, 2022

Infrastructure as a service (IaaS) handles compute, storage, and network resources. Consider a monolithic application, for example, designed to perform a host of functions. Microservices, on the other hand, make it possible to quickly scale up a single aspect of an application, such as storage or compute use.

Development 262

Development Serverless Best Practices Lambda 262

DZone

JANUARY 25, 2022

A basic example could be listening to an AWS SQS queue and saving a file in Google Cloud Storage Bucket for each message that has been received. A book that defines a series of patterns and blueprints to help us to better design large component-based applications.

AWS 185

AWS Storage Google Design 185

The Netflix TechBlog

MAY 5, 2021

Here is an example of globally distributed production where several artists and workflows work in conjunction to create and share assets for one or many projects. These artists may want to create personal workspaces and work on generating intermediate assets. The major pieces, as shown in Fig.

Media 184

Media Storage Architecture Cloud 184

Dynatrace

JANUARY 31, 2024

Designed to reach beyond petabyte (PB) scale, OpenPipeline will—at its launch— quintuple the ingest throughput from 100 TB a day per tenant to 500 TB a day per tenant. OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform. Commitment to privacy.

Analytics 203

Analytics Processing Transportation Storage 203

The Netflix TechBlog

MARCH 14, 2023

An example of using Machine Learning to find shots of Eleven in Stranger Things and surfacing the results in studio application for the consumption of Netflix video editors. Here is an example of the desired output when the user searches for “red race car” across the entire content library. a close-up shot). Incredible!”

Media 301

Media Innovation Energy Architecture 301

Dynatrace

MAY 26, 2021

A great example of this is Dynatrace, that’s been doing SLA monitoring for years, which Jonah also shared in his talk. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. OTel is designed to ensure flexibility and stability.

AWS 224

AWS Strategy Storage Metrics 224

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 253

Latency Cache Infrastructure Strategy 253

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " In from of them is a networking layer, and the in-memory storage layer holds the actual data.

Serverless 99

Serverless Storage Latency Cloud 99

The Netflix TechBlog

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it. An example of data about members is the video they had watched or added to their My List.

Storage 197

Storage Design Scalability Latency 197

The Netflix TechBlog

FEBRUARY 9, 2022

The design of a cron job is simple, you take some system command, you pick the schedule to run it on and you are done. Example: 0 0 * * MON /home/alice/backup.sh In the above example the system would wake up every Monday morning and execute the backup.sh Simple right? Let’s discuss a few of them.

Storage 213

Storage Data Engineering Testing Code 213

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. A second job taps the data feed from the first job, does tail sampling of data and writes traces to the storage system.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

Dynatrace

OCTOBER 4, 2022

For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Analytics 204

Analytics Software Software Storage 204

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” This program is just one example of the many ways Netflix strives to entertain the world.

Cloud 293

Cloud Entertainment AWS Infrastructure 293

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Synthetic Monitoring is used to simulate defined customer behavior, for example when opening a website and clicking a certain button. Dynatrace Kubernetes documentation .

Analytics 253

Analytics Infrastructure AWS Operating System 253

Highly Scalable

MARCH 1, 2012

First, we should note that SQL and relational model in general were designed long time ago to interact with the end user. And this was where a new evolution of data models began: Key-Value storage is a very simplistic, but very powerful model. The main design theme is “ What answers do I have?” ” .

Database 279

Database Ecommerce Efficiency Engineering 279

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. Shown below are rate versus quality examples for a couple of titles from our HDR catalog. We present two sets.

Open Source 262

Open Source Software Engineering Internet Internet 262

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 97

Storage Scalability Strategy Performance 97

Dynatrace

AUGUST 27, 2020

AWS Storage Gateway. We’ve selected two example services: Amazon Sagemaker and Amazon Neptune ,, for this purpose. Amazon Neptune is a fast, reliable, fully-managed graph database service designed for applications working with highly connected datasets. Amazon Managed Apache Cassandra Service (Keyspaces). Amazon SageMaker.

AWS 275

AWS Cloud IoT Database 275

Dynatrace

DECEMBER 20, 2021

For example, the <body> element of your page exists on one branch of this tree structure, with any <img> assets branching off. Consider the example of “rage clicks,” which are rapid clicks (or taps) on the same spot when a feature is unresponsive. For example, are all user bounces caused by the same issue?

Mobile 255

Mobile Website Analytics Cache 255

The Netflix TechBlog

JULY 22, 2024

What is Maestro Maestro is a general-purpose, horizontally scalable workflow orchestrator designed to manage large-scale workflows such as data pipelines and machine learning model training pipelines. The transition was seamless, and Maestro has met our design goals by handling our ever-growing workloads. increase in executed jobs.

Strategy 260

Strategy Scalability Code Engineering 260

The Netflix TechBlog

DECEMBER 17, 2024

Consider the following example of two different Netflix Homepages: Sample HomepageA Sample HomepageB To a basic recommendation system, the two sample pages might appear equivalent as long as the viewer watches the top title. How can we design systems that recognize these nuances and empower every title to shine and bring joy to ourmembers?

Traffic 174

Traffic Scalability Strategy Monitoring 174

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. The efficiency achieved in processing and storage layers brought us big savings on computing and storage costs.

Data Engineering 183

Data Engineering Engineering Big Data Software Engineering 183