The Netflix TechBlog

SEPTEMBER 10, 2024

One issue that often complicates this process is the "noisy neighbor" problem. Continuous instrumentation is critical to catching such matters as they emerge, and eBPF, with its hooks into the Linux scheduler with minimal overhead, enabled us to monitor run queue latency efficiently.

Latency 251

Latency Metrics Programming Monitoring 251

High Scalability

JANUARY 11, 2022

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334

Design Media Storage Logistics 334

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

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.

Latency 254

Latency Storage Cache Efficiency 254

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. For example, a video encoding service is built of components that are scale-agnostic: API, workflow, and functions.

Serverless 236

Serverless Media Latency Social Media 236

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. For example, if some fields in the responses are timestamps, those will differ.

Traffic 349

Traffic Latency Tuning Systems 349

Dynatrace

FEBRUARY 21, 2024

Quality gates examples in Dynatrace Quality gates hold much promise for organizations looking to release better software faster. The following are specific examples that demonstrate quality gates in action: Security gates Security gates ensure code meets key security requirements defined by development and security stakeholders.

Speed 219

Speed Software Software Latency 219

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache 235

Cache Latency Traffic Systems 235

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 253

Latency Cache Infrastructure Strategy 253

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. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache 260

Cache Latency Airlines Logistics 260

Dynatrace

JULY 22, 2024

Using OpenTelemetry, developers can collect and process telemetry data from applications, services, and systems. Traces are used for performance analysis, latency optimization, and root cause analysis. It enhances observability by providing standardized tools and APIs for collecting, processing, and exporting metrics, logs, and traces.

Latency 245

Latency Best Practices Metrics Open Source 245

Dynatrace

MAY 19, 2022

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs?

Automotive 279

Automotive Latency Architecture Azure 279

The Netflix TechBlog

MARCH 5, 2024

Reduced tail latencies In both our GRPC and DGS Framework services, GC pauses are a significant source of tail latencies. For a given CPU utilization target, ZGC improves both average and P99 latencies with equal or better CPU utilization when compared to G1.

Latency 240

Latency Java Tuning Efficiency 240

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 254

Latency Storage Big Data Tuning 254

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242

Cloud Media Storage Cache 242

The Netflix TechBlog

FEBRUARY 20, 2019

Today we are excited to announce latency heatmaps and improved container support for our on-host monitoring solution?—?Vector?—?to Remotely view real-time process scheduler latency and tcp throughput with Vector and eBPF What is Vector? to the broader community. Vector is open source and in use by multiple companies.

Performance 217

Performance Latency Open Source Metrics 217

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Building APIs (for example, Amazon API Gateway ).

Serverless 246

Serverless Efficiency Lambda Azure 246

Dynatrace

MAY 13, 2022

For example, the Dynatrace Data Explorer enables you to do the following: Analyze multidimensional metrics , whether built into Dynatrace or ingested from other sources like Azure Monitor. With the Dynatrace Data Explorer, you can easily analyze metrics, such as client read/write latency by Cassandra nodes and disk space usage by keyspaces.

Azure 242

Azure Latency Metrics Infrastructure 242

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. See example below. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 258

Big Data Government Processing Analytics 258

The Netflix TechBlog

SEPTEMBER 10, 2024

The voice service then constructs a message for the device and places it on the message queue, which is then processed and sent to Pushy to deliver to the device. The previous version of the message processor was a Mantis stream-processing job that processed messages from the message queue.

Latency 233

Latency Cache Tuning Efficiency 233

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 242

Latency Storage Traffic Tuning 242

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 259

AWS Efficiency Azure Cloud 259

The Netflix TechBlog

SEPTEMBER 2, 2020

When a problem occurs, we put on our detective hats and start our mystery-solving process by gathering evidence. Example call graph in Edgar In some cases, the question we’re answering is, “What’s happening right now??” As mystery lovers, we want to answer the age-old question of whodunit; we want to understand what really happened.

Latency 299

Latency Transportation Engineering Traffic 299

Dynatrace

JUNE 25, 2020

For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. The network latency between cluster nodes should be around 10 ms or less. Regular Dynatrace Managed deployments can work seamlessly when a maximum of two nodes are down at a time and the network has low latency.

Availability 256

Availability Hardware Latency Traffic 256

Dynatrace

AUGUST 25, 2023

These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. Performance typically addresses response times or latency aspects and contributes to the four golden signals. This is what Dynatrace captures as response time.

Performance 185

Performance Latency Traffic Metrics 185

Dynatrace

FEBRUARY 15, 2023

Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. 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.

DevOps 230

DevOps Latency Traffic Best Practices 230

The Netflix TechBlog

FEBRUARY 18, 2022

Event Prioritization Considering the use cases were wide ranging both in terms of their sources and their importance, we built segmentation into the event processing. For example, a member-triggered event such as “ change in a profile’s maturity level” should have a much higher priority than a “ system diagnostic signal”.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

SEPTEMBER 8, 2020

As an example, to render the screen shown here, the app sends a query that looks like this: paths: ["videos", 80154610, "detail"] A path starts from a root object , and is followed by a sequence of keys that we want to retrieve the data for. ecosystem and the rich selection of npm packages available.

Latency 243

Latency Cache Java Traffic 243

The Netflix TechBlog

NOVEMBER 17, 2022

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Video downscaling is the most pertinent example herein, which tailors our encoding to screen resolutions of different devices and optimizes picture quality under varying network conditions. A visual example is shown below.

Network 302

Network Media Innovation Efficiency 302

Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Five example SLOs for faster, more reliable apps 1. Note : you might hear the term latency used instead of response time.

Latency 189

Latency Website Traffic Virtualization 189

Dynatrace

MARCH 16, 2023

Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation. Includes the end user While SLOs for back-end silos and processes help eliminate internal issues, back-end-based objectives tell only half the story.

DevOps 228

DevOps Latency Metrics Traffic 228

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Read/Write latency. Read/Write requests are processes with a minimal latency.

Database 213

Database Latency C++ Scalability 213

Dynatrace

AUGUST 27, 2024

For example, look for vendors that use a secure development lifecycle process to develop software and have achieved certain security standards. Integration with existing processes. The Dynatrace process involves a unique collaboration between AI and human experts. Resource constraints.

Best Practices 276

Best Practices Government DevOps Analytics 276

Dynatrace

OCTOBER 3, 2024

Without distributed tracing, pinpointing the cause of increased latency could take hours or even days. Dynatrace Davis ® AI will process logs automatically, independent of the technique used for ingestion. Interact with data intuitively and easily and benefit from immediate, AI-supported insights.

Performance 259

Performance Architecture Innovation Latency 259

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? Some examples: Why is title X not showing on the Coming Soon row for a particular member?

Traffic 174

Traffic Scalability Strategy Monitoring 174

Dynatrace

MAY 31, 2023

By automating and accelerating the service-level objective (SLO) validation process and quickly reacting to regressions in service-level indicators (SLIs), SREs can speed up software delivery and innovation. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity.

Best Practices 233

Best Practices DevOps Latency Metrics 233

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 287

Traffic Metrics Systems Strategy 287