InfoQ Homepage Capacity Planning Content on InfoQ
Articles
RSS Feed-
/articles/capacity-planning-queue-recovery/en/smallimage/The-Mathematics-of-Backlogs-Capacity-Planning-for-Queue-Recovery-thumb-1778227922596.jpg)
The Mathematics of Backlogs: Capacity Planning for Queue Recovery
Backlogs in distributed systems are arithmetic problems, not mysteries. This article provides practical formulas for calculating backlog drain time, sizing consumer headroom, and setting auto-scaling triggers. It covers key failure modes — retry amplification, metastable states, and cascading pipeline bottlenecks — plus when to shed load instead of draining.
-
/articles/estimation-game-techniques-for-informed-guessing/en/smallimage/CLOUD.jpg)
The Estimation Game - Techniques for Informed Guessing
In this article, author Carlos Bueno discusses the strategies for estimating the server capacity for big data projects and initiatives, with the help of two case studies.
-
/articles/downscaling-SAFe/en/smallimage/logo2.jpg)
Downscaling SAFe
The Scaled Agile Framework (SAFe) with custom modifications to it in accordance with Agile and Lean values helped Seamless Payments to go through a period of organizational growth and prepare for further growth. This article describes the change that was done using a slimmed down version of SAFe that still maintained its core ideas.
-
/articles/twitter-infrastructure/en/smallimage/logoT.jpg)
Interview with Raffi Krikorian on Twitter's Infrastructure
Raffi Krikorian, Vice President of Platform Engineering at Twitter, gives an insight on how Twitter prepares for unexpected traffic peaks and how system architecture is designed to support failure.