Dynatrace

MAY 23, 2024

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. After failures, Kafka Streams’ partition assignment strategy, triggered by rebalances, causes its executions to accumulate more lag. This significantly increases event latency.

Engineering 185

Engineering Tuning Latency Open Source 185

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. 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

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. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

NOVEMBER 2, 2023

Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. Navigating common MongoDB upgrade challenges Even with a well-thought-out plan, MongoDB upgrades can present challenges.

Best Practices 85

Best Practices Hardware Tuning Scalability 85

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 136

Cache Best Practices Strategy Servers 136

The Netflix TechBlog

DECEMBER 21, 2020

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. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. More processing resources.

Storage 203

Storage Latency Efficiency Data Engineering 203

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