The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

MAY 21, 2024

Data with context can improve your ability to deliver on your goals, modernize your organization, and accelerate business transformation. These outcomes are made easy through the platform’s unique ability to turn data into answers and action, in contextual, real-time, and cost-effective ways that were previously impossible.

Technology 206

Technology Technology Analytics Storage 206

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 176

Metrics Monitoring Database Network 176

Dynatrace

FEBRUARY 21, 2024

This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness. Quality gates to validate the “four golden signals” The “four golden signals” represent the most crucial metrics of a customer-facing system’s performance. In this example, unlike latency, the remaining three signals did not receive a “pass.”

Speed 212

Speed Software Software Latency 212

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! In other words, false positives are bad but false negatives are the absolute worst!

Storage 288

Storage Cache Metrics Database 288

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. Optimize resource allocation, identify bottlenecks, and improve overall system performance.

Efficiency 220

Efficiency Virtualization Hardware Performance 220

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. System Components. Data Models.

Design 334

Design Media Storage Logistics 334

High Scalability

FEBRUARY 19, 2021

This is a guest post by Paddy Byers , Co-founder and CTO at Ably , a realtime data delivery platform. This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its users expect. For example, a system component might work intermittently, or produce misleading output.

Engineering 215

Engineering Systems Scalability Availability 215

High Scalability

DECEMBER 21, 2018

It's HighScalability time: Have a very scalable Xmas everyone! 1) Enterprise data centres will continue to close. odrotbohm : I’ve seen microservice based systems more deranged after 2 years than any 1,5 decades old monolith could ever have been. See you in the New Year. Do you like this sort of Stuff? If you plan for it.

Internet 137

Internet Internet Scalability Serverless 137

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. Running artificial intelligence models and querying data requires massive amounts of computational resources in the cloud, which results in higher cloud costs. AI performs frequent data transfers.

Strategy 227

Strategy Artificial Intelligence Storage Cloud 227

The Netflix TechBlog

FEBRUARY 9, 2021

In particular, it’s our job to design and build the systems and protocols that enable customers from all over the world to sign up for Netflix with the plan features and incentives that best suit their needs. Let’s take a deeper look at the architecture, protocols, and systems involved.

Engineering 142

Engineering Scalability Architecture Innovation 142

High Scalability

JULY 20, 2018

The third wing of the architecture piece is the “domain specific system-on-chip.” Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. That means multiple data indirections mean multiple cache misses. They are very expensive. Not so many this week.

Internet 121

Internet Internet Scalability Automotive 121

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The first generation of this system went live with the streaming launch in 2007. Delivery?—?A

Serverless 228

Serverless Media Latency Social Media 228

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]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 212

Database Traffic Transportation Open Source 212

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]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 197

Database Traffic Transportation Open Source 197

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. This approach is sufficient when systems failure modes are well understood.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. 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. Stream Processing: to sample or not to sample trace data?

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This covers everything from tech specs and what you expect from the service to security, how you’ll handle data, and how services will be managed. Each private cloud setup has perks and benefits, especially for handling specific tasks.

Strategy 130

Strategy Cloud Government Innovation 130

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. Dynatrace news.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

The Netflix TechBlog

NOVEMBER 2, 2021

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. The coupling problem Until recently, video quality measurements were generated as part of our Reloaded production system. We call this system Cosmos. via bug fixes).

Media 171

Media Innovation Metrics Latency 171

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

Dynatrace

JANUARY 13, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. Real user monitoring collects data on a variety of metrics. For example, data collected on load actions can include navigation start, request start, and speed index metrics.

Monitoring 184

Monitoring Latency Mobile Best Practices 184

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges. Does it constitute a zero-day vulnerability?

DevOps 225

DevOps Traffic Efficiency Servers 225

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. Powerful change streams and support for data definition language operations. In MongoDB 6.x: In MongoDB 7.x:

Best Practices 83

Best Practices Hardware Tuning Scalability 83

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream.

Lambda 184

Lambda AWS Serverless Hardware 184

The Morning Paper

MARCH 17, 2020

An empirical guide to the behavior and use of scalable persistent memory , Yang et al., The data we have collected demonstrate that many of the assumptions that researchers have made about how NVDIMMs would behave and perform are incorrect. The Optane DIMM is the first scalable, commercially available NVDIMM. FAST’20.

Scalability 59

Scalability Latency Cache Media 59

The Netflix TechBlog

APRIL 26, 2022

ML algorithms can be only as good as the data that we provide to it. This post will focus on the large volume of high-quality data stored in Axion?—?our Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos. An example of data about members is the video they had watched or added to their My List.

Storage 187

Storage Design Scalability Latency 187

Dynatrace

JUNE 8, 2020

As a software intelligence platform, Dynatrace is woven into the fabric of your business systems, actively managing and providing self-healing capabilities for all aspects of your applications and vital infrastructure. Access your cluster health data in Dynatrace Managed. Dynatrace news. ” — A Dynatrace Managed customer.

Software 165

Software Software Programming Metrics 165

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Cache 126

Cache Performance Servers Social Media 126