The Netflix TechBlog

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.

Systems 334

Systems Traffic Architecture Mobile 334

DZone

JUNE 21, 2023

In the ever-evolving world of DevOps , the ability to gain deep insights into system behavior, diagnose issues, and improve overall performance is one of the top priorities. Monitoring and observability are two key concepts that facilitate this process, offering valuable visibility into the health and performance of systems.

DevOps 316

DevOps Systems Monitoring Metrics 316

The Netflix TechBlog

AUGUST 1, 2022

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

Processing 272

Processing Transportation Entertainment Tuning 272

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

DZone

MAY 15, 2021

Cross-browser testing has become an integral part of the test process to ensure the product experience and behavior remain consistent across different combinations of web browsers, devices, and operating systems. In this blog, we learn how to execute NUnit parameterized tests with examples.

Testing 227

Testing Operating System Code Processing 227

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart. Dynatrace news.

Analytics 195

Analytics Systems DevOps Healthcare 195

Dynatrace

AUGUST 16, 2022

For example: Infrastructure services might provide data about request timings that can give you a precise overview of system health, but the data is logged in a custom format. For example, Dynatrace recently introduced the extraction of log-based metrics for JSON logs. FILTER_OUT(duration < 100).

Processing 197

Processing Metrics Monitoring Java 197

The Netflix TechBlog

SEPTEMBER 29, 2022

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 212

Latency Systems Media Serverless 212

DZone

APRIL 21, 2023

Test tools are software or hardware designed to test a system or application. Some test tools are intended for developers during the development process, while others are designed for quality assurance teams or end users.

Testing Tools 187

Testing Tools Best Practices Testing Hardware 187

DZone

JANUARY 12, 2021

There are different options to terminate a process in Unix/Linux flavor of operating systems. This article intends to list and provide examples of each option. You can use the kill command to terminate a process by passing the process id. PID is the process ID of the process that you want to terminate.

Processing 138

Processing Operating System Systems Open Source 138

DZone

OCTOBER 17, 2022

Knowing anti-patterns and pitfalls is often more useful than knowing patterns when designing a system, so I decided to write this blog post about factors that I think will lead to producing unreliable systems from my experiences in designing (mostly) distributed enterprise applications. What Is Modeling?

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Systems Design Processing Development 100

DZone

JUNE 28, 2023

As part of the testing process, testers usually draft test scenarios that force the system to meet new requirements. The organization can optimize infrastructure costs and create the best user experience by determining server-side robustness and client-side degradation.

Best Practices 141

Best Practices Scalability Testing Infrastructure 141

Testlodge

MARCH 12, 2024

System testing involves analyzing the behavior and functionality of a fully integrated application. To help us to understand, let’s use an example. While being integrated with the system, each component is analyzed individually. Types of System Testing This kind of testing can be both functional and non-functional.

Systems 90

Systems Testing Open Source Hardware 90

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight.

Systems 192

Systems Cloud Analytics DevOps 192

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. In these examples, the product value streams incorporate Flow Metrics into their key results to drive agility and a value focus. Examples of quarterly OKRs for software companies. Activities.

Software 96

Software Software Healthcare Mobile 96

High Scalability

FEBRUARY 19, 2021

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. Fault tolerance The ability of a system to continue to be dependable (both available and reliable) in the presence of certain component or subsystem failures. This ensures reliability.

Engineering 215

Engineering Systems Scalability Availability 215

High Scalability

JUNE 15, 2020

What is the name of your system and where can we find out more about it? The system is the data pipeline at TripleLift. Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. Why did you decide to build this system?

Processing 206

Processing Data Engineering Engineering Efficiency 206

The Netflix TechBlog

MARCH 6, 2019

—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large We have one file?—?the

Media 214

Media Storage Processing Cache 214

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 292

DevOps Software Engineering Games Java 292

DZone

AUGUST 5, 2019

In the previous posts in this series, we've seen some examples of long-running processes , how to model them, and where to store the state. But building distributed systems is hard. And if we are aware of the fallacies of distributed systems , then we know that things fail all the time.

Processing 100

Processing Strategy Systems Performance 100

Particular Software

SEPTEMBER 11, 2023

Migrating a message-based system from on-premises to the cloud is a colossal undertaking. If you search for “how to migrate to the cloud”, there are reams of articles that encourage you to understand your system, evaluate cloud providers, choose the right messaging service, and manage security and compliance.

Cloud 126

Cloud Systems Azure Airlines 126

Dynatrace

APRIL 24, 2019

The most common example is when the IIS default application pool is used for deploying a web site instead of using a dedicated pool. For small deployments, it isn’t a problem however when scaling up to hundred or even thousands of systems things can become complicated. Why Process groups are not perfect.

Systems 126

Systems Tuning C++ Processing 126

DZone

MARCH 9, 2023

Software testing is the process of verifying the working of the software system or application. In other words, it ensures the software application is bug-free and addresses the technical and user requirements.

Best Practices 100

Best Practices Software Software Testing 100

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

Smashing Magazine

JANUARY 3, 2022

Composition-Based Design System In Figma. Composition-Based Design System In Figma. Working as a designer on a design system for a large product has taught me how precious the time you spend on a single task/component is. Introducing “Composition” For Design Systems: Composable Content And Containers. Large preview ).

Design 141

Design Systems Code Scalability 141

HammerDB

MARCH 25, 2023

Docker build, example CLI scripts were added to build and run the TPROC-C workload in the Tcl language. This post will give an overview of the example CLI scripts that you can run directly or use as a template to write your own. Linux example For a first example we will look at the TPROC-C workload in Tcl running on MariaDB on Linux.

C++ 83

C++ Virtualization Benchmarking Database 83

Dynatrace

JULY 25, 2019

In this three-part blog series, we’ll share the following three common problem scenarios that you can easily solve by building an automated self-healing system with Dynatrace and xMatters Flow Designer: Process crash. Use case #1: Prevent a process crash from taking down services across an organization. Slow microservices.

Systems 176

Systems DevOps Design Google 176

Dynatrace

JANUARY 29, 2024

Closed-loop remediation is an IT operations process that detects issues or incidents, takes corrective actions, and verifies that the remediation action was successful. How closed-loop remediation works Closed-loop remediation uses a multi-step process that goes beyond simple problem remediation.

Best Practices 201

Best Practices DevOps Energy Innovation 201

Dynatrace

APRIL 19, 2024

Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability. With hundreds of teams, distributed systems, and terabytes of log data, this is a daunting task.

AWS 229

AWS Analytics Cloud Monitoring 229

Dynatrace

AUGUST 27, 2019

In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization in five easy steps. In this alert, xMatters includes all the important incident information from Dynatrace, so there’s no need for you to visit additional system dashboards. xMatters creates and updates Jira issues.

Systems 177

Systems DevOps Latency Azure 177

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

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. Processing took several hours to complete.

Media 291

Media Innovation Energy Architecture 291

Dynatrace

AUGUST 10, 2023

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. In both examples, we used Dynatrace OneAgent® deep payload inspection to capture business data in motion.

Database 233

Database Metrics Retail Analytics 233

Particular Software

MAY 8, 2023

However, in a message-based system, we no longer have a single call stack. The problem Because message-driven systems are asynchronous and run in multiple processes, debugging is naturally more complex than in a single-process application. Start order process| C[Order saga] C --> |3.

Systems 52

Systems C++ Azure Metrics 52

Dynatrace

AUGUST 28, 2023

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand.

Retail 211

Retail Logistics Innovation Analytics 211

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 199

DevOps Engineering Artificial Intelligence Infrastructure 199

The Netflix TechBlog

FEBRUARY 13, 2023

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata.

Media 290

Media Storage Infrastructure Systems 290