The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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 CFQ works well for many general use cases but lacks latency guarantees. Spoiler alert: This post focuses on MongoDB 3.6.X tcp_fin_timeout = 30 net.ipv4.tcp_keepalive_intvl

Best Practices 52

Best Practices Design Tuning Database 52

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

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

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

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. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency. The audits check for equality (i.e.

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

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., Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient. VQS is called using the measureQuality endpoint.

Media 171

Media Innovation Metrics Latency 171

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. Important Always consult with your hardware manufacturer for proper stable media strategies. For specific information on I/O tuning and balancing, you will find more details in the following document.

Servers 40

Servers Cache Media Hardware 40

The Netflix TechBlog

DECEMBER 17, 2019

However, this strategy does not work for all databases. It is required for a database to execute this query efficiently, which typically applies for systems that implement range scans over primary keys. In the latter case, write traffic is blocked until the dump completes. Using proprietary database features. Figure 4— Delta Connector.

Database 197

Database Traffic Transportation Open Source 197

The Netflix TechBlog

DECEMBER 17, 2019

However, this strategy does not work for all databases. It is required for a database to execute this query efficiently, which typically applies for systems that implement range scans over primary keys. In the latter case, write traffic is blocked until the dump completes. Using database specific features. Figure 4— Delta Connector.

Database 212

Database Traffic Transportation Open Source 212

SQL Server According to Bob

JANUARY 11, 2020

Restore backups on secondary systems ​​ frequently ​​ to make sure that your complete backup strategy is functioning correctly. Make sure that you ​​ understand any ​​ write-caching strategies ​​ that the utility ​​ uses.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

SEPTEMBER 6, 2021

For example, you could reduce compression efficiency , because that works better with more data. Finally, not inlining resources has an added latency cost because the file needs to be requested. As such, a micro-optimization is, again, how you probably need to fine-tune things on a low level to really benefit from it.

Network 104

Network Servers Cache Traffic 104