DZone

FEBRUARY 27, 2024

Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.

Cache 173

Cache Efficiency Architecture Design 173

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

Dynatrace

AUGUST 27, 2019

Welcome back to the blog series in which we share how you can easily solve three common problem scenarios by using Dynatrace and xMatters Flow Designer. This is where xMatters Flow Designer comes into play, by automating remediation steps at the touch of a button. Step 5 – xMatters triggers a runbook in Ansible to fix the disk latency.

Systems 177

Systems DevOps Latency Azure 177

The Netflix TechBlog

NOVEMBER 9, 2022

A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.”

Hardware 363

Hardware Cache Performance Latency 363

The Netflix TechBlog

SEPTEMBER 18, 2024

These include challenges with tail latency and idempotency, managing “wide” partitions with many rows, handling single large “fat” columns, and slow response pagination. It also serves as central configuration of access patterns such as consistency or latency targets.

Latency 254

Latency Storage Cache Efficiency 254

DZone

NOVEMBER 16, 2023

In this article, we will explore one of the most common and useful resilience patterns in distributed systems: the circuit breaker. The circuit breaker is a design pattern that prevents cascading failures and improves the overall availability and performance of a system. What Is a Circuit Breaker?

Latency 264

Latency Network Database Monitoring 264

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. cell): Titus Job Coordinator is a leader elected process managing the active state of the system. For example, a batch workflow orchestration system may create multiple jobs which are part of a single workflow execution.

Cache 235

Cache Latency Traffic Systems 235

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 242

Latency Storage Traffic Tuning 242

High Scalability

FEBRUARY 19, 2021

In this article, we discuss the concepts of dependability and fault tolerance in detail and explain how the Ably platform is designed with fault tolerant approaches to uphold its dependability guarantees. Fault tolerant design approaches address these shortfalls to provide continuity both to business and to the user experience.

Engineering 165

Engineering Systems Availability Scalability 165

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

SEPTEMBER 24, 2021

Lastly, the packager kicks in, adding a system layer to the asset, making it ready to be consumed by the clients. Uploading and downloading data always come with a penalty, namely latency. There are existing distributed file systems for the cloud as well as off-the-shelf FUSE modules for S3.

Cloud 242

Cloud Media Storage Cache 242

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 260

Cache Latency Airlines Logistics 260

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 236

Serverless Media Latency Social Media 236

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 240

Processing Media Latency Innovation 240

The Netflix TechBlog

SEPTEMBER 10, 2024

Sample system diagram for an Alexa voice command. The other main use case was RENO, the Rapid Event Notification System mentioned above. To support this growth, we’ve revisited Pushy’s past assumptions and design decisions with an eye towards both Pushy’s future role and future stability.

Latency 233

Latency Cache Tuning Efficiency 233

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. But what happens when this machinery needs a transformation?

Traffic 287

Traffic Metrics Systems Strategy 287

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.

Engineering 192

Engineering Tuning Latency Open Source 192

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. For Premium HA, this has been extended from 10 ms latency (in the same network region) to around 100 ms network latency due to asynchronous data replication between regions. In the image below, three downed nodes make an entire cluster unavailable.

Availability 256

Availability Hardware Latency Traffic 256

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. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications.

Scalability 164

Scalability Database Ecommerce Latency 164

The Morning Paper

OCTOBER 11, 2020

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. The old ground-initiated command-and-control style systems aren’t going to work for these finer-grained systems.

Systems 125

Systems Latency Architecture Energy 125

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. The architects and developers who create the software must design it to be observed. Dynatrace news. But what is observability? What is observability?

Metrics 363

Metrics Open Source Monitoring Cloud 363

The Netflix TechBlog

DECEMBER 17, 2024

To achieve this, we are committed to building robust systems that deliver comprehensive observability, enabling us to take full accountability for every title on ourservice. Each title represents countless hours of effort and creativity, and our systems need to honor that uniqueness. Yet, these pages couldnt be more different.

Traffic 174

Traffic Scalability Strategy Monitoring 174

The Netflix TechBlog

SEPTEMBER 8, 2020

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits. This meant that data that was static (e.g.

Latency 243

Latency Cache Java Traffic 243

The Netflix TechBlog

OCTOBER 27, 2020

The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. How Bulldozer leverages Spark, Protobuf and KV DAL for moving the data.

Latency 254

Latency Storage Big Data Tuning 254

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Dynatrace provides end-to-end observability of AI applications As AI systems grow in complexity, a holistic approach to the observability of AI-powered applications becomes even more crucial.

Cache 215

Cache Azure Infrastructure Monitoring 215

Dynatrace

MARCH 16, 2023

Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation. In practice, however, SLOs’ value varies significantly based on how teams design, deploy, and manage them.

DevOps 228

DevOps Latency Metrics Traffic 228

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. We explore all the systems necessary to make and stream content from Netflix.

AWS 38

AWS Entertainment Open Source Benchmarking 38

The Netflix TechBlog

DECEMBER 21, 2020

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. Use cases We found several use cases where a system like AutoOptimize can bring tons of value. We can also reorganize the metadata to make file scanning much faster.

Storage 214

Storage Latency Efficiency Data Engineering 214

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. Fault Tolerance If the underlying KafkaConsumer crashes due to ephemeral system or network events, it should be automatically restarted.

Latency 224

Latency Traffic Transportation Cloud 224

The Netflix TechBlog

MARCH 7, 2023

We designed a unique concept called Annotation Operations which allows teams to create data pipelines and easily write annotations without worrying about access patterns of their data from different applications. But we cannot search or present low latency retrievals from files Etc. This is obviously very expensive.

Media 275

Media Latency Architecture Database 275

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 259

AWS Efficiency Azure Cloud 259

The Netflix TechBlog

OCTOBER 26, 2021

False negatives are closely related to the statistical concept of power , which gives the probability of a true positive given the experimental design and a true effect of a specific size. As a result, if the test treatment results in a small reduction in the latency metric, it’s hard to successfully identify?

Testing 213

Testing Metrics Latency Design 213

The Netflix TechBlog

AUGUST 29, 2023

Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments. To improve availability, we designed systems where components could fail separately and avoid single points of failure. There is a downside to fetching this data on-demand: this adds latency to the first request to a cluster.

Traffic 231

Traffic Latency Cloud C++ 231

The Netflix TechBlog

NOVEMBER 2, 2021

For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. We call this system Cosmos.

Media 180

Media Innovation Metrics Latency 180

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. Now let’s look at how we designed the tracing infrastructure that powers Edgar. Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

The Netflix TechBlog

FEBRUARY 9, 2021

The whole system was quite complex, and starting to become brittle. The API server orchestrates backend systems to authenticate the user. Upstream systems had to reopen the tokens to identify the user logging in and potentially manage multiple parallel identity data structures, which could easily get out of sync.

Architecture 230

Architecture Latency Servers Systems 230

High Scalability

SEPTEMBER 8, 2018

The issue is that Anna is now orders of magnitude more efficient than competing systems, in addition to being orders of magnitude faster. The core component in Anna v11 is a monitoring system & policy engine that together enable workload-responsiveness and adaptability.

Storage 199

Storage Performance AWS Efficiency 199