The Netflix TechBlog

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. But there are more interesting cases where users want to store temporal (time-based) data or spatial data. Movie Entity with id 1234 has violence.

Scalability 283

Scalability Latency Media Architecture 283

The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

MARCH 29, 2024

During a breakout session at Dynatrace Perform 2024 , Alois Mayr, principal product manager at Dynatrace, and Stefano Doni, CTO at Akamas, broke down how Dynatrace and Akamas can help organizations enhance Kubernetes cluster management. Consider a sudden drop in performance. ” Data supports those declarations.

Engineering 222

Engineering DevOps Operating System Open Source 222

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. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. Reliability.

Software 259

Software Software Benchmarking Latency 259

DZone

MAY 1, 2023

It is a transversal component that applies to all the tech areas and architecture layers such as operating systems, data platforms, backend, frontend, and other components. It is a transparent layer for the data consumer in terms of user usability except to improve performance. What Is a Cache?

Cache 141

Cache Strategy Latency Operating System 141

InfoQ

JULY 14, 2023

Mei-Chin Tsai, Vinod discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. By Mei-Chin Tsai, Vinod Sridharan

Latency 52

Latency Azure Availability Scalability 52

Alex Russell

FEBRUARY 28, 2022

It's being reposted here for completeness, but if you care about web performance, make sure to check out the whole series and get subscribed to the RSS feed to avoid missing any of next year's posts. The predominant answer: a unified theory of web performance. What, in particular, is "web performance"? How do we do it?

Performance 104

Performance Latency Architecture Network 104

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 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

Lambda 212

Lambda AWS Serverless Latency 212

Dynatrace

MAY 31, 2023

With so many of their transactions occurring online, customers are becoming more demanding, expecting websites and applications to always perform perfectly. Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud.

Best Practices 219

Best Practices DevOps Latency Metrics 219

The Morning Paper

OCTOBER 4, 2020

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., What is the end-to-end throughput and latency, and where are the bottlenecks? Future 5G Standalone Architecture (SA) deployments with a native 5G control plane will not have this problem. SIGCOMM’20.

Energy 130

Energy Latency Performance Network 130

The Netflix TechBlog

APRIL 27, 2023

Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data. Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 243

AWS Efficiency Azure Cloud 243

The Netflix TechBlog

NOVEMBER 17, 2022

Encoding drastically reduces the amount of video data that needs to be streamed to your device, by leveraging spatial and temporal redundancies that exist in a video. While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency.

Network 292

Network Media Innovation Efficiency 292

High Scalability

JANUARY 11, 2022

Architecture. 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.

Design 334

Design Media Storage Logistics 334

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. This multinational information technology service and consulting company was asked to help a global automotive manufacturer with the management goal of measuring service flow performance. Due to the massive amount of data, no one knew what action to take if a number went red.

Automotive 267

Automotive Latency Architecture Azure 267

Dynatrace

OCTOBER 10, 2022

Reduced latency. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. By using cloud providers with multiple server sites, organizations can reduce function latency for end users. Architectural complexity. Optimizes resources. No infrastructure to maintain.

Serverless 163

Serverless Infrastructure Lambda Latency 163

InfoQ

APRIL 15, 2024

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

Artificial Intelligence 106

Artificial Intelligence Big Data Data Engineering Latency 106

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. The primary goal of ITOps is to provide a high-performing, consistent IT environment. Performance. What does IT operations do?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. AI-driven resource allocation not only enhances the overall performance of cloud services but also contributes to substantial cost savings.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Background The Netflix Android app uses the falcor data model and query protocol. For example, the artwork service is separate from the video metadata service, but we need the data from both in the detail key. It was a Node.js

Latency 233

Latency Cache Java Traffic 233

Scalegrid

MARCH 22, 2024

It focuses on aligning organizational needs with cloud services, balancing performance and cost, and ensuring compliance, security, and effective cost management. They can also bolster uptime and limit latency issues or potential downtimes. Pick combinations that are not just affordable but also high-performing.

Strategy 130

Strategy Cloud Government Innovation 130

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., There’s a broad set of choices including where you store the data, whether you run your own DBMS nodes or use a service, the kinds of instance types to go for if you do run your own, and so forth. VLDB’19. The design space. Key findings. Query restrictions.

Architecture 76

Architecture Cloud Storage Serverless 76

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream.

Lambda 178

Lambda AWS Serverless Hardware 178

VoltDB

JULY 10, 2018

Application State Management and Data-Driven Decision Making. This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. Data-driven decision making business logic. Real-World Example Problem.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

Application State Management and Data-Driven Decision Making. This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. Data-driven decision making business logic. Real-World Example Problem.

Architecture 40

Architecture Scalability Ecommerce Latency 40

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. As it turns out, for the large majority of Netflix use cases, its performance is far from optimal.

Cache 251

Cache Latency Airlines Logistics 251

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. These checkpoint events enable faster state reconstruction by consumers of the data feed while guarding against missed updates. million elements.

Latency 213

Latency Traffic Transportation Hardware 213

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

Performance 52

Performance Latency Cache Virtualization 52

Percona

MARCH 13, 2023

Architecture To understand more about deployment procedures, we need to look a little more at Neon architecture. They will connect in Paxos group to guarantee data consistency. Because of the critical importance of these components, the recommendation is to deploy multiple of them. 5454 --listen-http=0.0.0.0:7676

Serverless 120

Serverless C++ Storage Latency 120

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Latency 63

Latency Analytics Scalability Engineering 63

InfoQ

AUGUST 10, 2020

After analyzing the performance of several common lossless compression algorithms, Dropbox engineers modified slightly Google's Brotli encoder to improve their engine sync performance. This reduced median latency and data transfer by more than 30%, Dropbox engineers Rishabh Jain and Daniel Reiter Horn maintain.

Performance 65

Performance Latency Google Engineering 65

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. In layman’s terms, SLOs represent the performance or health of a service. Dynatrace news. Watch webinar now!

Metrics 187

Metrics Best Practices DevOps Infrastructure 187