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? Option 1: Log Processing Log processing offers a straightforward solution for monitoring and analyzing title launches.

Traffic 172

Traffic Scalability Strategy Monitoring 172

DZone

DECEMBER 4, 2019

You may also like: How to Properly Plan JVM Performance Tuning. While Performance Tuning an application both Code and Hardware running the code should be accounted for. For low latency, applications use Concurrent Mark and Sweep Algorithm — CMS or G1 GC. Ensure there is enough RAM to hold your java process.

Java 147

Java Tuning Performance Hardware 147

The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience.

Traffic 347

Traffic Latency Tuning Systems 347

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 219

Processing Big Data Efficiency Engineering 219

Scalegrid

JUNE 4, 2020

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. Now, let’s take a look at the throughput and latency performance of our comparison. We measure PostgreSQL throughput in terms of transactions processed. Latency is the average transaction execution time of your PostgreSQL data. Compare Pricing.

Database 230

Database Latency Benchmarking Performance 230

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. Useful for keeping “n-newest” or prefix path deletion.

Latency 260

Latency Storage Cache Efficiency 260

Scalegrid

FEBRUARY 24, 2025

While clustering across wide-area networks (WANs) is discouraged due to latency issues, leased links can mitigate some connectivity challenges. Proper setup involves creating a configuration process that accounts for hostname changes, which could prevent nodes from rejoining the cluster. Erlang is the backbone of RabbitMQ clustering.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

Scalegrid

NOVEMBER 20, 2019

In this blog post, we discuss an approach to optimize the MySQL index creation process in such a way that your regular workload is not impacted. 95th Percentile Latency. The 95th percentile latency of queries was also 1.8 Stay tuned for my follow-on blog post with more details! MySQL Rolling Index Creation.

Best Practices 239

Best Practices Latency Tuning Database 239

The Netflix TechBlog

MARCH 5, 2024

Reduced tail latencies In both our GRPC and DGS Framework services, GC pauses are a significant source of tail latencies. For a given CPU utilization target, ZGC improves both average and P99 latencies with equal or better CPU utilization when compared to G1. No explicit tuning has been required to achieve these results.

Latency 237

Latency Java Tuning Efficiency 237

Dynatrace

JULY 22, 2024

Using OpenTelemetry, developers can collect and process telemetry data from applications, services, and systems. Traces are used for performance analysis, latency optimization, and root cause analysis. It enhances observability by providing standardized tools and APIs for collecting, processing, and exporting metrics, logs, and traces.

Latency 264

Latency Best Practices Metrics Open Source 264

The Netflix TechBlog

SEPTEMBER 10, 2024

The voice service then constructs a message for the device and places it on the message queue, which is then processed and sent to Pushy to deliver to the device. The previous version of the message processor was a Mantis stream-processing job that processed messages from the message queue.

Latency 234

Latency Cache Tuning Efficiency 234

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.

Serverless 235

Serverless Media Latency Social Media 235

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 252

Latency Storage Big Data Tuning 252

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

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. As a consequence, the automatic updates as well as the automatic deep-code monitoring injection processes are even more stable. Stay tuned for upcoming news about these changes.

Storage 227

Storage Latency Operating System Network 227

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™.

DevOps 246

DevOps Traffic Latency Best Practices 246

Dynatrace

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 246

Benchmarking Latency Speed Software 246

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242

Cloud Media Storage Cache 242

Scalegrid

OCTOBER 17, 2019

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It is difficult to fault their argument – as it’s absolutely true that: Each client having its own process prevents a poorly behaving client from crashing the entire database.

Architecture 200

Architecture Database Latency Servers 200

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. When an application is triggered, it can cause latency as the application starts. The average request is handled, processed, and returned quickly. Services scale to meet demand.

Serverless 246

Serverless Efficiency Lambda AWS 246

The Netflix TechBlog

FEBRUARY 18, 2022

Event Prioritization Considering the use cases were wide ranging both in terms of their sources and their importance, we built segmentation into the event processing. We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

MARCH 29, 2024

” The Dynatrace Kubernetes app also provides process ownership data, ensuring information is directed to the right team and root causes are addressed. You can ask for the best configuration to reduce latency or improve the user experience.” “We can see that one node has memory pressure. It’s using 1.5

Engineering 264

Engineering DevOps Operating System Cloud 264

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 285

Traffic Metrics Systems Strategy 285

The Netflix TechBlog

AUGUST 22, 2019

Baking Windows with Packer By Justin Phelps and Manuel Correa Customizing Windows images at Netflix was a manual, error-prone, and time consuming process. We looked at our process for creating a Windows AMI and discovered it was error-prone and full of toil. Last year, we decided to improve the AMI baking process.

DevOps 210

DevOps AWS Tuning Infrastructure 210

The Netflix TechBlog

AUGUST 13, 2020

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. For example, a latency increase is less critical than error rate increase and some error codes are less critical than others.

Monitoring 219

Monitoring Tuning Traffic Metrics 219

The Netflix TechBlog

DECEMBER 21, 2020

There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Orient: Gather tuning parameters for a particular table that changed.

Storage 212

Storage Latency Efficiency Data Engineering 212

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. The validation process is automated based on events that occur, while the objectives’ configuration, which is validated by the Site Reliability Guardian , is stored in a separate file.

Best Practices 246

Best Practices Code Infrastructure Latency 246

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. Teams who want to move their data no longer need to learn and write customized Stream Processing jobs. Two Types of Processors 1.

Big Data 257

Big Data Government Processing Analytics 257

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. The process started with manual pull of member account information that was part of the session.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively? Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 246

Serverless Lambda Azure AWS 246

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

Latency 222

Latency Traffic Transportation Cloud 222

Dynatrace

MAY 17, 2023

The other sections on that page (such as Disk analysis) provide further information and charts on topics such as available disk space, latency, dropped network packets, refused connections, and more. This leads us to the process page of our specific Apache instance. On the other hand, if we checked out the process page for our Node.js

Metrics 243

Metrics Database Monitoring Network 243

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 246

Metrics Best Practices DevOps Infrastructure 246

O'Reilly

FEBRUARY 18, 2025

Focusing on tools over processes is a red flag and the biggest mistake I see executives make when it comes to AI. Improvement Requires Process Assuming that buying a tool will solve your AI problems is like joining a gym but not actually going. You also need to develop and follow processes.

Latency 66

Latency Tuning Metrics Testing 66

SQL Performance

SEPTEMBER 17, 2019

This article will cover many areas that database administrators need to be aware of in order to properly license, recover, and tune a Reporting Services installation. The ReportServer and ReportServerTempDB databases are SQL Server databases and should be part of a regular backup process, just like other user databases. Tuning Options.

Tuning 67

Tuning Servers Database Best Practices 67

The Netflix TechBlog

MAY 14, 2021

We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases. The goal is to process these documents as fast as possible and reliably deliver them to recipients while offering strong observability to both our users and internal teams.

Traffic 166

Traffic Java Latency Google 166

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. In this way, no human intervention is required in the remediation process. Multi-objective optimizations. user name).

Tuning 217

Tuning Efficiency Big Data Engineering 217