The Netflix TechBlog

SEPTEMBER 18, 2024

Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform.

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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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Latency Storage Traffic Tuning 239

Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. Failures can occur unpredictably across various levels, from physical infrastructure to software layers.

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Engineering Tuning Latency Open Source 245

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy.

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Latency Storage Big Data Tuning 252

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. With Dynatrace actively managing business-critical applications, some of our globally distributed enterprise customers require Dynatrace Managed to continue operating even when an entire data center goes down. Minimized cross-data center network traffic.

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The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

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Big Data Government Processing Analytics 257

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work?

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Artificial Intelligence Storage Analytics Government 246

Dynatrace

OCTOBER 3, 2024

Considering the latest State of Observability 2024 report, it’s evident that multicloud environments not only come with an explosion of data beyond humans’ ability to manage it. It’s increasingly difficult to ingest, manage, store, and sort through this amount of data. You can find the list of use cases here.

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The Netflix TechBlog

MARCH 28, 2025

Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources. Yet, many are confined to a brief temporal window due to constraints in serving latency or training costs.

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Tuning Efficiency Latency Strategy 165

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

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DevOps Analytics Airlines Metrics 272

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? This approach provides a few advantages: Low burden on existing systems: Log processing imposes minimal changes to existing infrastructure.

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Traffic Scalability Strategy Monitoring 172

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

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Storage Latency Efficiency Data Engineering 212

Dynatrace

DECEMBER 27, 2022

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. This telemetry data serves as the basis for establishing meaningful SLOs. SLOs aid decision making. SLOs promote automation. Reliability.

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The Netflix TechBlog

SEPTEMBER 10, 2024

The first step is determining whether the problem originates from the application or the underlying infrastructure. Learn how Linux kernel instrumentation can improve your infrastructure observability with deeper insights and enhanced monitoring. We then calculate the run queue latency by simply subtracting the timestamps.

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Latency Metrics Programming Monitoring 262

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. OneAgent: Citrix infrastructure performance. OneAgent: SAP infrastructure performance. Citrix VDA.

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Latency Performance Virtualization Infrastructure 52

Scalegrid

JUNE 4, 2020

As an open source database, it’s a highly popular choice for enterprise applications looking to modernize their infrastructure and reduce their total cost of ownership, along with startup and developer applications looking for a powerful, flexible and cost-effective database to work with. Compare Latency. At a glance – TLDR.

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CSS Wizardry

OCTOBER 16, 2023

Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. When we talk about downloading files, we—generally speaking—have two things to consider: latency and bandwidth. It gets worse.

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Cache Latency Strategy Speed 353

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.

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Latency Best Practices Metrics Open Source 264

Dynatrace

MAY 13, 2022

It also removes the need for developers and database administrators to manage infrastructure or update database versions. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). Provide a foundation for calculating metrics in dashboard charts.

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Azure Latency Metrics Infrastructure 246

Scalegrid

FEBRUARY 24, 2025

Youll also learn strategies for maintaining data safety and managing node failures so your RabbitMQ setup is always up to the task. Implementing clustering and quorum queues in RabbitMQ significantly improves load distribution and data redundancy, ensuring high availability and fault tolerance for messaging services.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. Benefits of observability.

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Metrics Open Source Monitoring Cloud 363

Dynatrace

APRIL 6, 2022

Full-stack observability is the ability to determine the state of every endpoint in a distributed IT environment based on its telemetry data. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Why full-stack observability matters.

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DevOps Innovation Infrastructure Cloud 303

The Netflix TechBlog

JUNE 14, 2023

Testing Strategies: A Summary Two key factors determined our testing strategies: Functional vs. non-functional requirements Idempotency If we were testing functional requirements like data accuracy, and if the request was idempotent , we relied on Replay Testing. In such cases, we were not testing for response data but overall behavior.

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Traffic Latency Metrics Cache 357

Dynatrace

DECEMBER 13, 2023

By tracking these KPIs and similar, organizations can gain valuable insights into the performance of their mobile apps and make data-driven decisions to improve the user experience and drive growth. Here are some ways observability data is important to mobile app performance monitoring. Load time and network latency metrics.

Best Practices 246

Best Practices Mobile Metrics Performance 246

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

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Metrics Database Monitoring Network 243

CSS Wizardry

AUGUST 7, 2019

The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!).

Latency 274

Latency Ecommerce Servers Mobile 274

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

Dynatrace

OCTOBER 10, 2022

Reduced latency. By using cloud providers with multiple server sites, organizations can reduce function latency for end users. No infrastructure to maintain. Because cloud providers own and manage back-end infrastructure, local IT teams aren’t responsible for ongoing maintenance and upgrades. Optimizes resources.

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Serverless Infrastructure Lambda Latency 241

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models. Graph Data Models.

Design 334

Design Media Storage Logistics 334

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

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Cache Azure Infrastructure Monitoring 276

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 221

Database Traffic Transportation Open Source 221

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Despite being serverless, the function still requires infrastructure on which to run. What is a Lambda serverless function? Return larger payload sizes.

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Lambda AWS Serverless Latency 246

Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. There are now many more applications, tools, and infrastructure variables that impact an application’s performance and availability.

Best Practices 246

Best Practices DevOps Latency Metrics 246

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. This scenario has become all too common as digital infrastructure has grown increasingly complex.

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Cloud Monitoring Latency Games 229

Dynatrace

APRIL 5, 2021

Organizations can offload much of the burden of managing app infrastructure and transition many functions to the cloud by going serverless with the help of Lambda. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream. How does AWS Lambda work?

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Lambda AWS Serverless Hardware 258

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 206

Database Traffic Transportation Open Source 206