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 221

Latency Systems Media Serverless 221

Dynatrace

JULY 24, 2023

They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions. These initial automation endeavors paved the way for greater advancements, leading to the next evolution of event-driven automation.

DevOps 246

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DZone

JANUARY 21, 2024

In today’s world, companies often find themselves grappling with unpredictable surges in workloads, especially during pivotal events. This poses a significant challenge for businesses since miscalculations can lead to latency, lost customers, and significant financial losses, even as much as hundreds of thousands of dollars per minute.

Retail 182

Retail Games Latency Traffic 182

The Netflix TechBlog

MARCH 28, 2025

Yet, many are confined to a brief temporal window due to constraints in serving latency or training costs. To harness this data effectively, we employ a process of interaction tokenization, ensuring meaningful events are identified and redundancies are minimized.

Tuning 165

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The Netflix TechBlog

SEPTEMBER 10, 2024

Continuous Instrumentation of the Linux Scheduler To ensure the reliability of our workloads that depend on low latency responses, we instrumented the run queue latency for each container, which measures the time processes spend in the scheduling queue before being dispatched to the CPU.

Latency 262

Latency Metrics Programming Monitoring 262

DZone

SEPTEMBER 14, 2022

Typically in low-latency development, a trade-off must be made between minimizing latency and avoiding excessive CPU utilization. In a typical application stack, multiple threads are used for servicing events, processing data, pipelining, and so on. Description of the Problem.

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Latency Open Source Strategy Design 130

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.

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The Netflix TechBlog

NOVEMBER 3, 2022

In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. We started seeing increased response latencies and leader servers running at dangerously high utilization. Let’s assume a sequence of events E?…E??,

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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? Using the source of truth: Logs serve as a reliable source of truth by providing a comprehensive record of system events.

Traffic 172

Traffic Scalability Strategy Monitoring 172

Scalegrid

FEBRUARY 24, 2025

While clustering across wide-area networks (WANs) is discouraged due to latency issues, leased links can mitigate some connectivity challenges. Event-driven architecture in RabbitMQ supports horizontal scalability by decoupling services, enabling them to process messages independently.

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Best Practices Traffic Strategy Scalability 147

Dynatrace

MAY 23, 2024

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. This significantly increases event latency. The latency recovery is depicted below, where Flink again achieved the fastest recovery. Recovery time of the latency p90.

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

JANUARY 15, 2020

Citrix platform performance—optimize your Citrix landscape with insights into user load and screen latency per server. Citrix latency represents the end-to-end “screen lag” experienced by a server’s users. Tie latency issues to host and virtualization infrastructure network quality. ICA latency. Citrix VDA.

Latency 52

Latency Performance Virtualization Infrastructure 52

Uber Engineering

OCTOBER 17, 2018

To accomplish this, Uber relies heavily on making data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks … The post Uber’s Big Data Platform: 100+ Petabytes with Minute Latency appeared first on Uber Engineering Blog.

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Big Data Latency Transportation Traffic 109

Dynatrace

NOVEMBER 28, 2022

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

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Lambda AWS Serverless Latency 246

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.

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Software Software Benchmarking Latency 306

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.

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Cache Latency Airlines Logistics 258

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. For simpler use cases, it also represents flat key-value Maps (e.g.

Latency 260

Latency Storage Cache Servers 260

Dynatrace

JULY 22, 2024

Text-based records of events and activities generated by applications and infrastructure components. Traces are used for performance analysis, latency optimization, and root cause analysis. Logs are detailed records of events that happen within an application. Logs are used for debugging, troubleshooting, and auditing purposes.

Latency 264

Latency Best Practices Metrics Open Source 264

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Triggering the Lambda function is event-driven and could include changes in state or an update to a file. To learn more about the AWS Lambda features, visit the Lamba features page.

Lambda 246

Lambda AWS Serverless Latency 246

The Netflix TechBlog

SEPTEMBER 10, 2024

The other main use case was RENO, the Rapid Event Notification System mentioned above. Dynomite is a Netflix open source wrapper around Redis that provides a few additional features like auto-sharding and cross-region replication, and it provided Pushy with low latency and easy record expiry, both of which are critical for Pushy’s workload.

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Latency Cache Tuning Efficiency 234

The Netflix TechBlog

MAY 4, 2023

It provides a good read on the availability and latency ranges under different production conditions. The upstream service calls the existing and new replacement services concurrently to minimize any latency increase on the production path. Logging is selective to cases where the old and new responses do not match.

Traffic 347

Traffic Latency Tuning Systems 347

Dynatrace

APRIL 10, 2025

All data in context : By bringing together metrics, logs, traces, user behavior, and security events into one platform, Dynatrace eliminates silos and delivers real-time, end-to-end visibility. It becomes practically impossible for teams to stitch them back together to get quick answers in context and make strategic decisions.

Strategy 165

Strategy Storage Network Architecture 165

High Scalability

JANUARY 11, 2022

When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. The entity C denotes the event where a user likes a post and entity D denotes the action when a user follows another user. Fetching User Feed. Optimization.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

JUNE 14, 2023

To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render. With these sampled events, the tool can capture a live request from production and run an identical GraphQL query against both the GraphQL Shim and the new Video API service.

Traffic 357

Traffic Latency Cache Metrics 357

The Netflix TechBlog

AUGUST 30, 2021

In the Device Management Platform, this is achieved by having device updates be event-sourced through the control plane to the cloud so that NTS will always have the most up-to-date information about the devices available for testing. Upstream event sourcing was fully enabled on the producer side at around 2021–07–15 15:00 PST.

Latency 222

Latency Traffic Transportation Cloud 222

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Latency 245

Latency Website Traffic DevOps 245

All Things Distributed

JULY 14, 2015

No matter which mechanism you choose to use, we make the stream data available to you instantly (latency in milliseconds) and how fast you want to apply the changes is up to you. Triggers are powerful mechanisms that react to events dynamically and in real time. DynamoDB Cross-region Replication.

Database 158

Database Lambda AWS IoT 158

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Many events can trigger a lambda function. AWS continues to improve how it handles latency issues. What is AWS Lambda?

Lambda 258

Lambda AWS Serverless Hardware 258

Dynatrace

JUNE 7, 2023

One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability. With these latency, reliability, and cost measurements in place, your operations team can now define their own OpenAI dashboards and SLOs.

Monitoring 241

Monitoring Latency Metrics Azure 241

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. The network latency between cluster nodes should be around 10 ms or less. In the image below, three downed nodes make an entire cluster unavailable.

Availability 264

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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. In the screenshot below, a chaos engineering scenario introduced latency and resource stress on the “easytrade” demo application.

Engineering 262

Engineering Systems Latency Metrics 262

Scalegrid

OCTOBER 24, 2019

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. This configuration provides complete safety for your data, even in the event you lose the local SSD disks.

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AWS Latency Performance Performance Testing 183

Dynatrace

SEPTEMBER 13, 2023

Dynatrace AutomationEngine workflows automate release validation using AWS Well-Architected pillars With Dynatrace, you can create workflows that automate various tasks based on events, schedules or Davis problem triggers. Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. While this empowers teams to frequently deliver new features, the overall business, security, and quality objectives must be maintained.

DevOps 246

DevOps Latency Traffic Best Practices 246

Dynatrace

JANUARY 17, 2024

By adopting a cloud- and edge-based AI approach, teams can benefit from the flexibility, scalability, and pay-per-use model of the cloud while also reducing the latency, bandwidth, and cost of sending AI data to cloud-based operations. Causal AI is a technique that determines the precise root causes and effects of events or behaviors.

Strategy 288

Strategy Artificial Intelligence Storage Cloud 288

Dynatrace

NOVEMBER 9, 2023

Performance monitoring Dynatrace can collect performance metrics from Nutanix clusters, including latency, IOPS (Input/Output Operations Per Second), and network throughput. Event metrics Access event data to gain insights into system events and changes, helping you track and troubleshoot issues effectively.

Virtualization 246

Virtualization Storage Metrics Monitoring 246

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. For more about this ongoing conversation, see A guide to event-driven SRE-inspired DevOps.

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Engineering DevOps Government Latency 264