Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

JANUARY 14, 2022

Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. The following figure shows the high-level architecture where any load testing solution (e.g. The baseline configuration—the initial sizing of microservices—only provided an efficiency of 0.29 The Akamas approach.

Latency 200

Latency Tuning Efficiency AWS 200

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

Cloud 237

Cloud Media Storage Cache 237

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 243

Latency Storage Big Data Tuning 243

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 subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system.

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. past 3 hours or 10 days).

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

NOVEMBER 2, 2021

The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., via bug fixes).

Media 171

Media Innovation Metrics Latency 171

Scalegrid

OCTOBER 17, 2019

Moving to a multithreaded architecture will require extensive rewrites. But that causes a problem with PostgreSQL’s architecture – forking a process becomes expensive when transactions are very short, as the common wisdom dictates they should be. The PostgreSQL Architecture | Source. The Connection Pool Architecture.

Architecture 200

Architecture Database Latency Servers 200

The Morning Paper

NOVEMBER 10, 2019

Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol.

Network 92

Network Transportation Latency Entertainment 92

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. Two other schedulers are deadline and noop.

Best Practices 52

Best Practices Design Tuning Database 52

The Netflix TechBlog

DECEMBER 17, 2019

It is required for a database to execute this query efficiently, which typically applies for systems that implement range scans over primary keys. DBLog High Level Architecture. High Availability DBLog uses active-passive architecture. Chunking a table with 4 columns c1-c4 and c1 as the primary key (pk). Figure 3?—?DBLog

Database 197

Database Traffic Transportation Open Source 197

The Netflix TechBlog

DECEMBER 17, 2019

It is required for a database to execute this query efficiently, which typically applies for systems that implement range scans over primary keys. DBLog High Level Architecture. High Availability DBLog uses an active-passive architecture. Chunking a table with 4 columns c1-c4 and c1 as the primary key (pk). Figure 3?—?DBLog

Database 212

Database Traffic Transportation Open Source 212

All Things Distributed

DECEMBER 12, 2013

Moreover, a GSI''s performance is designed to meet DynamoDB''s single digit millisecond latency - you can add items to a Users table for a gaming app with tens of millions of users with UserId as the primary key, but retrieve them based on their home city, with no reduction in query performance. Efficient Queries.

Games 130

Games Scalability Database Retail 130

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0, At least once?

Architecture 80

Architecture Scalability Google Operating System 80

John McCalpin

JANUARY 22, 2018

Each of the two vector units can issue one FMA instruction per cycle, assuming that there are enough independent accumulators to tolerate the 6-cycle dependent-operation latency. of the “adjusted peak performance”, there is no longer a significant upside to performance tuning. vfmadd213pd %zmm16, %zmm17, %zmm26.

Latency 40

Latency Hardware Code Testing 40

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. For specific information on I/O tuning and balancing, you will find more details in the following document. Dirty Page Latency ​​ – A page is considered dirty when data modifications have taken place.

Servers 40

Servers Cache Media Hardware 40

The Netflix TechBlog

NOVEMBER 3, 2023

Additionally, instead of implementing business logic by composing multiple individual Processors together, users could express their logic in a single SQL query, avoiding the additional resource and latency overhead that came from multiple Flink jobs and Kafka topics. Stay tuned for more updates!

Processing 265

Processing Engineering Infrastructure Latency 265