The Netflix TechBlog

SEPTEMBER 10, 2024

With these clear benefits, we continued to build out this functionality for more devices, enabling the same efficiency wins. It was very efficient, but it had a set job size, requiring manual intervention if we wanted to horizontally scale it, and it required manual intervention when rolling out a new version.

Latency 235

Latency Cache Tuning Efficiency 235

Scalegrid

JUNE 22, 2020

Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. Read-Intensive Latency Benchmark. Balanced Workload Latency Benchmark.

Database 217

Database Benchmarking Latency Performance 217

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. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 252

Latency Storage Big Data Tuning 252

Dynatrace

JULY 22, 2024

Traces are used for performance analysis, latency optimization, and root cause analysis. The OpenTelemetry Protocol (OTLP) plays a critical role in this framework by standardizing how systems format and transport telemetry data, ensuring that data is interoperable and transmitted efficiently. Employ efficient sampling.

Latency 240

Latency Best Practices Metrics Open Source 240

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 251

Latency Cache Infrastructure Strategy 251

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. the retry success probability) and compute cost efficiency (i.e., Multi-objective optimizations.

Tuning 217

Tuning Efficiency Big Data Engineering 217

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 238

Processing Media Latency Innovation 238

The Netflix TechBlog

SEPTEMBER 24, 2021

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. Uploading and downloading data always come with a penalty, namely latency. In order to do that, the storage cloud object is modeled as a number of fixed size parts.

Cloud 242

Cloud Media Storage Cache 242

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. 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.

Storage 213

Storage Latency Efficiency Data Engineering 213

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 subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system. Warm capacity.

Serverless 235

Serverless Media Latency Social Media 235

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? Stay tuned for a closer look at the innovation behind thescenes! The stakes are even higher when ensuring every title launches flawlessly.

Traffic 172

Traffic Scalability Strategy Monitoring 172

Dynatrace

MARCH 29, 2024

.” While Kubernetes’ usability and ubiquity make it the ideal environment for cloud-based production tasks, operational oversight and resource management challenges can frustrate DevOps efforts to drive efficiency. You can ask for the best configuration to reduce latency or improve the user experience.”

Engineering 233

Engineering DevOps Operating System Open Source 233

Scalegrid

OCTOBER 17, 2019

Using a connection pool in each module is hardly efficient: Even with a relatively small number of modules, and a small pool size in each, you end up with a lot of server processes. It creates yet another component that must be maintained, fine tuned for your workload, security patched often, and upgraded as required.

Architecture 200

Architecture Database Latency Servers 200

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

JUNE 13, 2023

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. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 285

Traffic Metrics Systems Strategy 285

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Observability challenges in serverless applications can be therefore categorized into: Data collection : how to collect metrics, logs and traces from serverless functions efficiently, reliably, and consistently?

Serverless 214

Serverless Lambda Azure AWS 214

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 engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

Dynatrace

JULY 18, 2023

However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle.

Best Practices 196

Best Practices Code Infrastructure Latency 196

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 226

DevOps Traffic Efficiency Servers 226

Dynatrace

MAY 5, 2021

For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites. Fine-tuning the service-level indicators that make up quality gates will improve with the help of upcoming features. Organizations can feel the impact of even a minor roadblock in the user experience.

Benchmarking 189

Benchmarking Latency Speed Software 189

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency. Please stay tuned! Dehghani, Zhamak.

Big Data 257

Big Data Government Processing Analytics 257

Scalegrid

NOVEMBER 4, 2024

The results will help database administrators and decision-makers choose the right platform for their performance, scalability, and cost-efficiency needs. However, to ensure a level playing field regarding connection handling, we tuned ScaleGrid’s instances to allow 830 connections. </p>

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. past 3 hours or 10 days).

Processing 220

Processing Big Data Efficiency Engineering 220

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 210

Monitoring Social Media IoT Metrics 210

Scalegrid

AUGUST 27, 2024

Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios. Understanding RabbitMQ as a Message Broker RabbitMQ is a powerful message broker that enables applications to communicate by efficiently directing messages from producers to their intended consumers.

IoT 130

IoT Ecommerce Games Scalability 130

The Netflix TechBlog

NOVEMBER 2, 2021

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., Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient. VQS is called using the measureQuality endpoint.

Media 179

Media Innovation Metrics Latency 179

The Morning Paper

NOVEMBER 10, 2019

Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol.

Network 92

Network Transportation Latency Entertainment 92

Smashing Magazine

NOVEMBER 8, 2021

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. Stay tuned for more in 2022! Ilya Grigorik. 2021-11-08T14:30:00+00:00. 2021-11-08T19:34:34+00:00.

Cache 137

Cache Best Practices Strategy Servers 137

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

Percona

NOVEMBER 2, 2023

Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency.

Best Practices 92

Best Practices Hardware Tuning Scalability 92

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. This solution offers a streamlined method for managing databases across a variety of platforms, ensuring efficient operation.

Strategy 130

Strategy Cloud Government Innovation 130

All Things Distributed

DECEMBER 12, 2013

Moreover, a GSI''s performance is designed to meet DynamoDB''s single digit millisecond latency - you can add items to a Users table for a gaming app with tens of millions of users with UserId as the primary key, but retrieve them based on their home city, with no reduction in query performance. Efficient Queries.

Games 110

Games Scalability Database Retail 110

The Netflix TechBlog

DECEMBER 17, 2019

It is required for a database to execute this query efficiently, which typically applies for systems that implement range scans over primary keys. Passive instances across regions are also possible, though it is recommended to operate in the same region as the database host in order to keep the change capture latencies low.

Database 221

Database Traffic Transportation Open Source 221

The Netflix TechBlog

DECEMBER 17, 2019

It is required for a database to execute this query efficiently, which typically applies for systems that implement range scans over primary keys. Passive instances across regions are also possible, though it is recommended to operate in the same region as the database host in order to keep the change capture latencies low.

Database 207

Database Traffic Transportation Open Source 207

The Morning Paper

MAY 21, 2019

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory. ML-based auto-tuning. Evaluation.

Software 78

Software Software Google Hardware 78

The Morning Paper

JUNE 13, 2019

Making queries to an inference engine has many of the same throughput, latency, and cost considerations as making queries to a datastore, and more and more applications are coming to depend on such queries. The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50.

Hardware 58

Hardware Latency Serverless Energy 58

Brendan Gregg

OCTOBER 8, 2018

Screenshot: tracing read latency for PID 181: # bpftrace -e 'kprobe:vfs_read /pid == 30153/ { @start[tid] = nsecs; } kretprobe:vfs_read /@start[tid]/ { @ns = hist(nsecs - @start[tid]); delete(@start[tid]); }'. Back then I could already tell if disks were seeking by interpreting iostat(1) output: seeing high disk latency but small I/O.

C++ 105

C++ Virtualization Programming Latency 105