The Netflix TechBlog
SEPTEMBER 29, 2022
Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5
High Scalability
NOVEMBER 23, 2018
Delay is Not an Option: Low Latency Routing in Space , Murat ). Waqas Dhillon : The goal of in-database machine learning is to bring popular machine learning algorithms and advanced analytical functions directly to the data, where it most commonly resides – either in a data warehouse or a data lake. Please support me on Patreon.
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Speed Curve
FEBRUARY 5, 2024
Charlie Vazac introduced server timing in a Performance Calendar post circa 2018. Latency – How much time does it take to deliver a packet from A to B. db = Duration of the request processing spent querying the database. In practice, it looks something like this: server-timing: processing_time; dur=123.4;
All Things Distributed
JUNE 20, 2017
The new AWS Asia Pacific (Hong Kong) Region will have three Availability Zones and be ready for customers for use in 2018. This enables customers to serve content to their end users with low latency, giving them the best application experience. Over the past decade, we have seen tremendous growth at AWS.
SQL Performance
FEBRUARY 26, 2020
Azure SQL Database Managed Instance became generally available in late 2018. The General Purpose tier is designed for applications with typical performance and I/O latency requirements and provides built-in HA. The Business Critical tier is designed for applications that require low I/O latency and higher HA requirements.
HammerDB
MAY 5, 2019
Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. Once the schema was built I shutdown and restarted the database and configured a test script as follows: HammerDB-3.1$
Percona
AUGUST 10, 2018
The performance of a PostgreSQL database can be compromised by dead tuples, since they continue to occupy space and can lead to bloat. Now, though, it’s time to look at autovacuum for postgres, and the internals you to know to maintain a high performance PostgreSQL database needed by demanding applications. Is this a problem ?
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