DZone

MAY 1, 2023

CPU isolation and efficient system management are critical for any application which requires low-latency and high-performance computing. These measures are especially important for high-frequency trading systems, where split-second decisions on buying and selling stocks must be made.

Tuning 253

Tuning Systems Latency Performance 253

The Netflix TechBlog

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Tuning 166

Tuning Latency Efficiency Storage 166

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. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator. What is serverless computing?

Serverless 246

Serverless Efficiency Lambda Azure 246

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

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 172

Traffic Scalability Strategy Monitoring 172

Scalegrid

FEBRUARY 24, 2025

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

The Netflix TechBlog

MARCH 7, 2024

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems. ETL workflows), as well as downstream (e.g.

Systems 235

Systems Media Cache Open Source 235

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

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. This model supports both simple and complex data models, balancing flexibility and efficiency.

Latency 260

Latency Storage Cache Servers 260

The Netflix TechBlog

SEPTEMBER 10, 2024

On Titus , our multi-tenant compute platform, a "noisy neighbor" refers to a container or system service that heavily utilizes the server's resources, causing performance degradation in adjacent containers. To emit a run queue latency metric, we leveraged three eBPF hooks: sched_wakeup, sched_wakeup_new, and sched_switch.

Latency 262

Latency Metrics Programming Monitoring 262

Dynatrace

APRIL 10, 2025

In modern containerized environments, teams often deploy Kubernetes across mixed operating systems, creating a situation where both Linux and Windows nodes reside in the same cluster. Teams also struggle with ensuring optimal resource allocation and scheduling across different OS nodes, affecting the overall efficiency of the cluster.

Performance 147

Performance Java Operating System Infrastructure 147

Dynatrace

JULY 22, 2024

Using OpenTelemetry, developers can collect and process telemetry data from applications, services, and systems. Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics.

Latency 264

Latency Best Practices Metrics Open Source 264

O'Reilly

MARCH 25, 2025

The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Two big things: They bring the messiness of the real world into your system through unstructured data. When your system is both ingesting messy real-world data AND producing nondeterministic outputs, you need a different approach.

Systems 69

Systems Development Tuning Monitoring 69

Dynatrace

JANUARY 14, 2022

JMeter, MicroFocus LoadRunner, and Tricentis Neoload) can be used to test the target system against the workloads and where Dynatrace is the single telemetry provider for all the KPIs measuring the results of applying that load to a specific configuration. below 500ms) and error rates (e.g. lower than 2%.). below 500ms) and error rates (e.g.

Latency 246

Latency Tuning Efficiency AWS 246

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 305

AWS Efficiency Azure Cloud 305

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

DZone

JUNE 22, 2023

It involves a combination of techniques and best practices aimed at reducing latency, improving user experience, and increasing the overall efficiency of the system. API performance optimization is the process of improving the speed, scalability, and reliability of APIs.

Scalability 245

Scalability Design Best Practices Performance 245

Dynatrace

JANUARY 15, 2020

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace automation and AI-powered monitoring of your entire IT landscape help you to engage your Citrix management tools where they are most efficient. Citrix VDA.

Latency 52

Latency Performance Virtualization Infrastructure 52

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. This significantly increases event latency.

Engineering 245

Engineering Tuning Latency Open Source 245

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 253

Latency Storage Strategy Metrics 253

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 264

Engineering DevOps Government Latency 264

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. With these clear benefits, we continued to build out this functionality for more devices, enabling the same efficiency wins. It served Pushy’s needs well for many years.

Latency 234

Latency Cache Tuning Efficiency 234

Dynatrace

JUNE 1, 2023

It represents the percentage of time a system or service is expected to be accessible and functioning correctly. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. Note : you might hear the term latency used instead of response time.

Latency 245

Latency Website Traffic Virtualization 245

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 285

Traffic Metrics Systems Strategy 285

Dynatrace

FEBRUARY 21, 2024

The agency can also efficiently compare the newest version of Easytravel against previous versions of the software with regression testing facilitated by SRG. Quality gates to validate the “four golden signals” The “four golden signals” represent the most crucial metrics of a customer-facing system’s performance.

Speed 264

Speed Software Software Latency 264

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?

Lambda 258

Lambda AWS Serverless Hardware 258

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. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. For write operations, those challenges do not apply.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 245

Engineering DevOps Government Latency 245

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 258

Cache Latency Airlines Logistics 258

DZone

FEBRUARY 2, 2024

This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making. However, managing distributed workloads across various edge nodes in a scalable and efficient manner is a complex challenge.

IoT 204

IoT Artificial Intelligence Latency Internet 204

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 235

Serverless Media Latency Social Media 235

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.

Strategy 288

Strategy Artificial Intelligence Storage Cloud 288

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 238

Processing Media Latency Innovation 238

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

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

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 276

Cache Azure Infrastructure Monitoring 276

VoltDB

NOVEMBER 20, 2024

Advances in the Industrial Internet of Things (IIoT) and edge computing have rapidly reshaped the manufacturing landscape, creating more efficient, data-driven, and interconnected factories. This proximity reduces latency and enables real-time decision-making.

IoT 52

IoT Energy Latency Automotive 52