Category Archives: Performance

React and Angular do not fit everywhere

Last few years have been fascinating with several front-end frameworks coming up. I am not going to compare them; neither am I going to talk about The Good or The Bad on them. The buzz words, the new technologies are so shiny that almost everyone I speak to today wants to work on the new stuff. And they also tend to believe that you can solve everything by just writing a front-end application, make some API calls and it’s done. The focus of this post will be that React, or Angular or Vue.js or anything similar is not one size fit all frameworks and Servers Side Code still has a place in this world.

Caching Architecture (Adobe AEM) – Part 1

Cache (as defined by Wikipedia) is a component that transparently stores data such that future requests for data can be faster. I hereby presume that you understand cache as a component and any architectural patterns around caching and thereby with this presumption I will not go into depth of caching in this article. This article will cover some of the very basics of fundamentals of caching (wherever relevant) and then will take a deep dive into the point-of-view on the caching architecture with respect a Content Management Plan in context to Adobe’s AEM implementation.

 

Problem Statement

Principles for high performance and high availability don’t change but for conversation sakes lets assume we have a website where we have to meet the following needs.

  • 1 Billion hits on a weekend (hit is defined by a call to the resource and includes static resources like CSS, JS, Images, etc.)
  • 700 million hits in a day
  • 7.2 million page views in a day
  • 2.2 million page views in an hour
  • 80K hits in a second
  • 40K page views in a minute
  • 612 page views in a second
  • 24×7 site availability
  • 99.99% uptime
  • Content availability to consumers in under 5 minutes from the time editors publish content

While the data looks steep┬áthe use case is not uncommon one. In current world where everyone is moving to devices, and digital there will be cases when brands are running campaigns. When those campaigns are running there will be needs for support such steep loads. These loads don’t stay for long but when then come they come fast, they come thick and we will have to support them.

For the record, this is not some random theory I am writing, I have had the opportunity of being on a project (I cant name) where we supported similar number.

The use case I picked here is of a Digital Media Platform where we have a large portion of the content is static, but the principles I am going to talk here will apply to any other platform or application.

Java Collections | Performance Benchmark

Managing list or collection of objects is a very common scenario. In addition, managing that list effectively, that provides the optimum performance is also a very common need. The Java programming language offers many in-built data types for representing and modeling collection of objects. Some of the commonly used data types are: java.lang.ArrayList java.lang.HashSet java.lang.TreeMap…

YSlow?!

Nice name ­čÖé I came across this Firefox add-on a few days back. My first reaction was “this is kewl”, but as I started to use the same with my Firefox and looked at the various stats for applications all of this started to look “Hot”. For a simple application that I was working on,…