Dynatrace

AUGUST 21, 2024

These releases often assumed ideal conditions such as zero latency, infinite bandwidth, and no network loss, as highlighted in Peter Deutsch’s eight fallacies of distributed systems. With Dynatrace, teams can seamlessly monitor the entire system, including network switches, database storage, and third-party dependencies.

Engineering 262

Engineering Systems Latency Metrics 262

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

Dynatrace

OCTOBER 10, 2024

New: identify hotspots with the honeycomb visualization Honeycombs are great for visualizing health in complex and distributed systems, enabling you to visualize countless entities effectively and at scale. Now, let’s introduce you to our two newest entries to our visualization catalog and tell you about the great things you can do with them.

Latency 246

Latency Infrastructure Monitoring Metrics 246

Scalegrid

FEBRUARY 6, 2025

Introduction to Message Brokers Message brokers enable applications, services, and systems to communicate by acting as intermediaries between senders and receivers. This decoupling simplifies system architecture and supports scalability in distributed environments.

Latency 147

Latency Analytics Architecture Storage 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

The Netflix TechBlog

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

Tuning 179

Tuning Efficiency Latency Strategy 179

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

DZone

FEBRUARY 5, 2024

In the fast-paced digital world, where every millisecond counts, understanding the nuances of network latency becomes paramount for developers and system architects. Latency, the delay before a transfer of data begins following an instruction for its transfer, can significantly impact user experience and system performance.

Latency 147

Latency Metrics Network Systems 147

DZone

FEBRUARY 27, 2025

Multimodal data processing is the evolving need of the latest data platforms powering applications like recommendation systems, autonomous vehicles, and medical diagnostics. Handling multimodal data spanning text, images, videos, and sensor inputs requires resilient architecture to manage the diversity of formats and scale.

Efficiency 130

Efficiency Processing Latency Storage 130

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 347

Traffic Latency Tuning Systems 347

Dynatrace

AUGUST 27, 2019

In this alert, xMatters includes all the important incident information from Dynatrace, so there’s no need for you to visit additional system dashboards. Based on this contextual data, resources are prompted with their pre-configured response options, each of which kicks off a workflow across systems (based on the severity of the issue).

Systems 208

Systems DevOps Latency Azure 208

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

CSS Wizardry

JANUARY 31, 2019

When it comes to network performance, there are two main limiting factors that will slow you down: bandwidth and latency. Latency is defined as…. Where bandwidth deals with capacity, latency is more about speed of transfer 2. and reduction in latency. and reduction in latency. Bandwidth is defined as….

Latency 137

Latency Network Speed Servers 137

Dynatrace

APRIL 10, 2025

As a result, many organizations are facing the burden of managing separate systems for network security and application observability, leading to redundant configurations, duplicated data collection, and operational overhead. While network security remains relevant, the emphasis is now on application observability and threat detection.

Strategy 262

Strategy Storage Network Architecture 262

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 67

Systems Development Tuning Monitoring 67

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 Scalability 147

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. This eliminates the need for separate log management systems for each OS, streamlining your observability workflow.

Performance 147

Performance Java Operating System Infrastructure 147

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 Servers 260

The Netflix TechBlog

JUNE 14, 2023

To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render. The AB experiment results hinted that GraphQL’s correctness was not up to par with the legacy system. Zuul , our primary edge gateway, assigns traffic to either cluster based on the experiment parameters.

Traffic 357

Traffic Latency Metrics Cache 357

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. cell): Titus Job Coordinator is a leader elected process managing the active state of the system. For example, a batch workflow orchestration system may create multiple jobs which are part of a single workflow execution.

Cache 233

Cache Latency Traffic Systems 233

Dynatrace

SEPTEMBER 29, 2020

Sydney, we have a disk write latency problem! It was on August 25 th at 14:00 when Davis initially alerted on a disk write latency issues to Elastic File System (EFS) on one of our EC2 instances in AWS’s Sydney Data Center. The problem didn’t last long or have any impact on our services.

Infrastructure 259

Infrastructure Cloud Monitoring AWS 259

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

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

DZone

NOVEMBER 16, 2023

In this article, we will explore one of the most common and useful resilience patterns in distributed systems: the circuit breaker. The circuit breaker is a design pattern that prevents cascading failures and improves the overall availability and performance of a system. What Is a Circuit Breaker?

Latency 264

Latency Network Database Monitoring 264

Dynatrace

DECEMBER 27, 2022

According to Google’s SRE handbook , best practices, there are “ Four Golden Signals ” we can convert into four SLOs for services: reliability, latency, availability, and saturation. Latency is the time that it takes a request to be served. Define SLOs for each service. Reliability. Saturation.

Software 306

Software Software Benchmarking Latency 306

Scalegrid

NOVEMBER 20, 2019

During this time, you are also likely to experience a degraded performance of queries as your system resources are busy in index-creation work as well. 95th Percentile Latency. The 95th percentile latency of queries was also 1.8 Workload Throughput (Queries Per Second). Index Creation on Master. Rolling Index Creation.

Best Practices 239

Best Practices Latency Tuning Database 239

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

SEPTEMBER 18, 2020

High latency or lack of responses. You receive an alert message from Dynatrace (your infrastructure observability hub) letting you know that the average response latency of all deployed APIs has tripled. This increase is clearly correlated with the increased response latencies. Soaring number of active connections.

Infrastructure 263

Infrastructure Latency Metrics Cloud 263

Dynatrace

JANUARY 15, 2020

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Citrix platform performance—optimize your Citrix landscape with insights into user load and screen latency per server.

Latency 52

Latency Performance Virtualization Infrastructure 52

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

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

SEPTEMBER 4, 2022

It is important to highlight that most older monitoring systems were considered inefficient due to their operational overhead. Pixie offers monitoring, telemetry, metrics, and more with less than 5% CPU overhead and latency degradation during data collection.

Monitoring 241

Monitoring Latency Metrics Cloud 241

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

OCTOBER 4, 2023

Your team celebrates a success story where a trace identified a pesky latency issue in your application's authentication service. While the initial trace provided valuable insights into the authentication service, it didn’t explain why the system was built in this way. But the celebrations are short-lived.

Latency 254

Latency Cache Software Software 254

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. Rewriting always comes with a risk, and it’s never the first solution we reach for, particularly when working with a system that’s in place and working well.

Latency 234

Latency Cache Tuning Efficiency 234

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