Skip to main content

Firefox3 and Caching HTTPS content

We use HTTPS for our website because it caters to data for SMBs, I primarily use Firefox browser and it was not caching static content. I was ignorant because when I googled for caching HTTPS content I found various posts that told that content over HTTPS cant be cached. Surprising thing was that IE8 was caching the content and as I dont use IE much I didn't noticed it. Luckily I started used JAWR for DWR JS aggregation and recently I added ExtJS and prototype to it. Surprisingly after doing it the initial load became fast by 1-2 sec and I was surprised. Upon firing up Fiddler I was surprised to see that Firefox is not even making call for the aggregated JS. Ultimately I figured out that it was Cache-Control:Public header that was making all the difference. JAWR was setting Cache-Control: public, max-age=315360000, post-check=315360000, pre-check=315360000 and we were setting Cache-Control:Private, max-age=315360000. That's it done!! we changed the headers and now Initial load on second login is fast even after you close the browser.  When Cache-Control is private Firefox uses memory based caching and when Cache-Control is public Firefox uses disk based caching for HTTPS based content. You can type url about:cache to confirm this.

fyi this doesn't mean we don't need to focus on removing the no of http requests any more or looking for a CDN solution because according to a study by Yahoo surprisingly 40-60% requests are done from an empty cache. http://www.yuiblog.com/blog/2007/01/04/performance-research-part-2/. It just buys us some more time to automate some of the things like sprite creation and others in meanwhile.

Comments

Popular posts from this blog

Haproxy and tomcat JSESSIONID

One of the biggest problems I have been trying to solve at our startup is to put our tomcat nodes in HA mode. Right now if a customer comes, he lands on to a node and remains there forever. This has two major issues: 1) We have to overprovision each node with ability to handle worse case capacity. 2) If two or three high profile customers lands on to same node then we need to move them manually. 3) We need to cut over new nodes and we already have over 100+ nodes.  Its a pain managing these nodes and I waste lot of my time in chasing node specific issues. I loath when I know I have to chase this env issue. I really hate human intervention as if it were up to me I would just automate thing and just enjoy the fruits of automation and spend quality time on major issues rather than mundane task,call me lazy but thats a good quality. So Finally now I am at a stage where I can put nodes behing HAProxy in QA env. today we were testing the HA config and first problem I immediat...

Adding Jitter to cache layer

Thundering herd is an issue common to webapp that rely on heavy caching where if lots of items expire at the same time due to a server restart or temporal event, then suddenly lots of calls will go to database at same time. This can even bring down the database in extreme cases. I wont go into much detail but the app need to do two things solve this issue. 1) Add consistent hashing to cache layer : This way when a memcache server is added/removed from the pool, entire cache is not invalidated.  We use memcahe from both python and Java layer and I still have to find a consistent caching solution that is portable across both languages. hash_ring and spymemcached both use different points for server so need to read/test more. 2) Add a jitter to cache or randomise the expiry time: We expire long term cache  records every 8 hours after that key was added and short term cache expiry is 2 hours. As our customers usually comes to work in morning and access the cloud file server it ...

Spring 3.2 quartz 2.1 Jobs added with no trigger must be durable.

I am trying to enable HA on nodes and in that process I found that in a two test node setup a job that has a frequency of 10 sec was running into deadlock. So I tried upgrading from Quartz 1.8 to 2.1 by following the migration guide but I ran into an exception that says "Jobs added with no trigger must be durable.". After looking into spring and Quartz code I figured out that now Quartz is more strict and earlier the scheduler.addJob had a replace parameter which if passed to true would skip the durable check, in latest quartz this is fixed but spring hasnt caught up to this. So what do you do, well I jsut inherited the factory and set durability to true and use that public class DurableJobDetailFactoryBean extends JobDetailFactoryBean {     public DurableJobDetailFactoryBean() {         setDurability(true);     } } and used this instead of JobDetailFactoryBean in the spring bean definition     <bean i...