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. This technique facilitates validation on multiple fronts.

Traffic 347

Traffic Latency Tuning Systems 347

The Netflix TechBlog

NOVEMBER 12, 2024

Failures in a distributed system are a given, and having the ability to safely retry requests enhances the reliability of the service. Implementing idempotency would likely require using an external system for such keys, which can further degrade performance or cause race conditions. We hope you found this blog post insightful.

Latency 251

Latency Cache Infrastructure Strategy 251

Scalegrid

FEBRUARY 24, 2025

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. Key Takeaways RabbitMQ improves scalability and fault tolerance in distributed systems by decoupling applications, enabling reliable message exchanges.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

DZone

OCTOBER 8, 2024

Most performance engineers have spent years submitting RFPs, developing scripts, executions, analysis, monitoring and tuning, and researching their specific projects/product domains and have gained a very high level of expertise in it. and must have extensive experience in specialized skills.

Engineering 277

Engineering Blockchain Healthcare IoT 277

Dynatrace

FEBRUARY 25, 2025

Applications must migrate to the new mechanism, as using the deprecated file upload mechanism leaves systems vulnerable. Introduction Apache Struts 2 is a widely used Java framework for web applications, valued for its flexibility and Model-View-Controller (MVC) architecture. While Struts version 6.4.0

Servers 214

Servers Processing Java Tuning 214

The Netflix TechBlog

MARCH 14, 2023

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. We implemented a batch processing system for users to submit their requests and wait for the system to generate the output. Maintaining disparate systems posed a challenge.

Media 299

Media Innovation Energy Architecture 299

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved.

Architecture 278

Architecture Artificial Intelligence Cloud Open Source 278

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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. Recovery time of the latency p90. However, we noticed that GPT 3.5

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

APRIL 17, 2024

With the availability of Linux on IBM Z and LinuxONE, the IBM Z platform brings a familiar host operating system and sustainability that could yield up to 75% energy reduction compared to x86 servers. Deploying your critical applications on additional host operating systems increases the dependencies for observability.

Operating System 246

Operating System Energy Infrastructure Architecture 246

Brendan Gregg

JULY 15, 2020

Eight years ago I wrote _Systems Performance: Enterprise and the Cloud_ (aka the "sysperf" book) on the performance of computing systems, and this year I'm excited to be releasing the second edition. A year ago I announced [BPF Performance Tools: Linux System and Application Observability]. Which book should you buy?

Systems 141

Systems Cloud Performance Tuning 141

The Netflix TechBlog

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 327

Network Transportation AWS Cloud 327

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. Fully conceptualizing capacity requirements. Dynatrace and AWS.

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

Dynatrace

JANUARY 14, 2022

Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. The following figure shows the high-level architecture where any load testing solution (e.g. SREcon21 – Automating Performance Tuning with Machine Learning. The Akamas approach. Additional resources.

Latency 246

Latency Tuning Efficiency AWS 246

Dynatrace

JANUARY 26, 2021

This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. Development teams create and iterate on new software applications. Environmental forces.

DevOps 306

DevOps Best Practices Open Source Tuning 306

Dynatrace

MARCH 11, 2021

I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. This is what I wanted to optimize and avoid and many traditional (or homegrown) systems aren’t doing this. For example, invoking a webhook that creates a ticket in an ITSM system.

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

FEBRUARY 9, 2022

AI-powered automation and deep, broad observability for serverless architectures. In addition, Davis provides automatic alerting of service-to-service communication problems using queues and other event systems. Stay tuned for updates. 2 Automatic detected queues anomaly by AI engine Davis. New to Dynatrace? trial page ?for

Serverless 246

Serverless Azure Lambda AWS 246

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. By tuning workflows, you can increase their efficiency and effectiveness.

Artificial Intelligence 246

Artificial Intelligence Tuning Strategy Big Data 246

Scalegrid

OCTOBER 17, 2019

On modern Linux systems, the difference in overhead between forking a process and creating a thread is much lesser than it used to be. Moving to a multithreaded architecture will require extensive rewrites. The PostgreSQL Architecture | Source. The Connection Pool Architecture. A middleware implies extra costs.

Architecture 200

Architecture Database Latency Servers 200

The Netflix TechBlog

SEPTEMBER 18, 2024

In this post, we dive deep into how Netflix’s KV abstraction works, the architectural principles guiding its design, the challenges we faced in scaling diverse use cases, and the technical innovations that have allowed us to achieve the performance and reliability required by Netflix’s global operations.

Latency 260

Latency Storage Cache Efficiency 260

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. Making use of serverless architecture.

Serverless 246

Serverless Efficiency Lambda AWS 246

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Alex Podelko

OCTOBER 20, 2016

New Architectures (this post). Cloud seriously impacts system architectures that has a lot of performance-related consequences. First, we have a shift to centrally managed systems. Software as a Service’ (SaaS) basically are centrally managed systems with multiple tenants/instances. . – Agile.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

Dynatrace

SEPTEMBER 28, 2020

Lightweight architecture. The overall architecture – including the consolidated Dynatrace API – is shown below: Different problem visualizations build on top of a lightweight backend that uses the consolidated Dynatrace API. Getting the problem status of all environments has to be efficient. js framework. js framework.

Storage 276

Storage Architecture Tuning Efficiency 276

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? Our streaming teams need a monitoring system that enables them to quickly diagnose and remediate problems; seconds count! Our Node team needs a system that empowers a small group to operate a large fleet. By Andrei U.,

Monitoring 219

Monitoring Tuning Traffic Metrics 219

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Lastly, the packager kicks in, adding a system layer to the asset, making it ready to be consumed by the clients.

Cloud 242

Cloud Media Storage Cache 242

DZone

MAY 1, 2020

Observability is the ability to understand the internal state of your system by looking at what is happening externally. In a software system, in order to acquire observability, we mainly implement the following aspects: logging, metrics, and tracing. This is mainly due to the added complexity of working with a distributed system.

Programming 165

Programming Tuning Metrics Architecture 165

The Netflix TechBlog

JANUARY 13, 2022

The data platform is built on top of several distributed systems, and due to the inherent nature of these systems, it is inevitable that these workloads run into failures periodically. We have been working on an auto-diagnosis and remediation system called Pensive in the data platform to address these concerns.

Big Data 242

Big Data Infrastructure Metrics Games 242

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. They are required to understand the full story of what happened in a system. Explore your logs in multicloud environments and analyze them in the context of your architecture. So please stay tuned for updates. .

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

JULY 6, 2022

Virtualization has revolutionized system administration by making it possible for software to manage systems, storage, and networks. This can reduce labor costs and enhance reliability by enabling systems to self-heal. Design, implement, and tune effective SLOs.

Best Practices 246

Best Practices Open Source Tuning Infrastructure 246

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. In fact, more than half of organizations use Kubernetes in production. ” And for the latest news from Perform, check out our guide.

Engineering 264

Engineering DevOps Operating System Cloud 264

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. By tracking metrics only at the level of service being updated, we might miss capturing deviations in broader end-to-end system functionality. Canaries and sticky canaries are valuable tools in the system migration process.

Traffic 285

Traffic Metrics Systems Strategy 285

Dynatrace

JUNE 8, 2021

In software we use the concept of Service Level Objectives (SLOs) to enable us to keep track of our system versus our goals, often shown in a dashboard – like below –, to help us to reach an objective or provide an excellent service for users. Usual exceptions raised by our system that is now considered to be normal by Davis.

Metrics 242

Metrics Tuning Programming Systems 242

The Netflix TechBlog

MARCH 25, 2019

You are designing a learning system to forecast Service Level Agreement (SLA) violations and would want to factor in all upstream dependencies and corresponding historical states. Nonetheless, Netflix data landscape (see below) is complex and many teams collaborate effectively for sharing the responsibility of our data system management.

Infrastructure 225

Infrastructure Big Data Transportation Architecture 225

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. More transparency means a better understanding of the technology being used, better troubleshooting, and more opportunities to fine-tune an organization’s tools. The post What is explainable AI?

Artificial Intelligence 277

Artificial Intelligence Healthcare Government Technology 277

The Netflix TechBlog

NOVEMBER 2, 2020

How viewers are able to watch their favorite show on Netflix while the infrastructure self-recovers from a system failure By Manuel Correa , Arthur Gonigberg , and Daniel West Getting stuck in traffic is one of the most frustrating experiences for drivers around the world. Logs and background requests are examples of this type of traffic.

Traffic 261

Traffic Metrics Infrastructure Architecture 261

The Netflix TechBlog

OCTOBER 18, 2022

Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. Meson was based on a single leader architecture with high availability. Meson was based on a single leader architecture with high availability.

Java 211

Java Scalability Traffic Architecture 211