Cache, Latency, Strategy and Tuning - Technology Performance Pulse

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics

Metrics Monitoring Latency Cache

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

Traffic

Traffic Latency Tuning Systems

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning

Tuning Database Performance Hardware

KeyCDN Launches New POP in Mexico

KeyCDN

NOVEMBER 4, 2021

The POP is strategially located within the country and lowers latency overall. KeyCDN is always on the lookout for ways to minimize latency and accelerate asset delivery worldwide. Hola Mexico! We've launched our new point of presence (POP) in Mexico City.

Latency

Latency Tuning Cache Traffic

Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

NOVEMBER 8, 2021

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. At the limit, statically generated, edge delivered, and HTML-first pages look like the optimal strategy. Stay tuned for more in 2022!

Cache

Cache Best Practices Strategy Servers

Tuning Autovacuum in PostgreSQL and Autovacuum Internals

Percona

AUGUST 10, 2018

This may help tune your table level autovacuum settings appropriately. Tuning Autovacuum in PostgreSQL. How do we identify the tables that need their autovacuum settings tuned ? . In order to tune autovacuum for tables individually, you must know the number of inserts/deletes/updates on a table for an interval.

Tuning

Tuning Cache Database Storage

MongoDB Best Practices: Security, Data Modeling, & Schema Design

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

Best Practices Design Tuning Database

Migrating Netflix to GraphQL Safely

The Netflix TechBlog

JUNE 14, 2023

The three strategies we will discuss today are AB Testing , Replay Testing, and Sticky Canaries. And we definitely couldn’t replay test non-functional requirements like caching and logging user interaction. Let’s discuss the three testing strategies in further detail. To launch Phase 1 safely, we used AB Testing.

Traffic

Traffic Latency Cache Metrics

SQL Server I/O Basics Chapter #1

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers

Servers Cache Media Hardware

Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem

The Netflix TechBlog

JULY 21, 2022

Some features (as an example) include Device Type ID, SDK Version, Buffer Sizes, Cache Capacities, UI resolution, Chipset Manufacturer and Brand. Internally, the app caches several pre-fetched data, images, descriptions etc, and the time spent in the level could indicate whether or not those caches are cleared.

Big Data

Big Data Cache Engineering Data Engineering

SQL Server I/O Basics Chapter #2

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching algorithm that enables cache entries to be ordered by their access times. That way you can recover from a failure condition.

Servers

Servers Cache Database Media

DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

DECEMBER 17, 2019

However, this strategy does not work for all databases. This way, log event processing can resume event-by-event afterwards, eventually discovering the watermarks, without ever needing to cache log event entries. In the latter case, write traffic is blocked until the dump completes. Using proprietary database features.

Database

Database Traffic Transportation Open Source

DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

DECEMBER 17, 2019

However, this strategy does not work for all databases. This way, log event processing can resume event-by-event afterwards, eventually discovering the watermarks, without ever needing to cache log event entries. In the latter case, write traffic is blocked until the dump completes. Using database specific features.

Database

Database Traffic Transportation Open Source

A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

OCTOBER 2, 2017

Performant – DynamoDB consistently delivers single-digit millisecond latencies even as your traffic volume increases. DynamoDB automatically re-distributes your data to healthy servers to ensure there are always multiple replicas of your data without you needing to intervene.

Internet

Internet Internet AWS Performance

HTTP/3: Practical Deployment Options (Part 3)

Smashing Magazine

SEPTEMBER 6, 2021

This approach was touted to be better for fine-grained caching because each subresource could be cached individually and the full bundle didn’t need to be redownloaded if one of them changed. Finally, not inlining resources has an added latency cost because the file needs to be requested. What Does It All Mean? Large preview ).

Network

Network Servers Cache Traffic

Technology Performance Pulse

Crucial Redis Monitoring Metrics You Must Watch

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Trending Sources

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

KeyCDN Launches New POP in Mexico

Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Tuning Autovacuum in PostgreSQL and Autovacuum Internals

MongoDB Best Practices: Security, Data Modeling, & Schema Design

Migrating Netflix to GraphQL Safely

SQL Server I/O Basics Chapter #1

Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem

SQL Server I/O Basics Chapter #2

DBLog: A Generic Change-Data-Capture Framework

DBLog: A Generic Change-Data-Capture Framework

A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

HTTP/3: Practical Deployment Options (Part 3)

Stay Connected