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Michael Young, Founder & CTO
          @myoung
•intro to news.me
•our technology stack on aws
•why use aws?
•a few parting tips
team news.me
news.me for email
daily email
daily email
news.me for iphone
news stream
news stream
news stream
news stream
article view
reactions
sharing
read later
read later
read later
read later
read later
paperboy
this app is great for
     the subway
exposé
exposé
web beta coming soon.

    beta testers?
“Finding more of anything never stays
a problem long on the web...

What is hard is finding less, but
ordered by quality, relevance or
urgency.”


      - Clay Shirky
our mission...

 deliver an amazing news
experience, and make it fast
avoid this...




sad newspaper boy == fail whale
•queuing

•beanstalk(d)



•caching

•redis                                       news.me stack
•memcache



•database

•mongo (1.8 with replica sets). EBS backed



•s3
news.me apis (ec2 + s3)
                      kinda big content data store™




      api-1.news.me   memcache
                       memcache


                                               mongo
elb   api-2.news.me                             mongo



      api-n.news.me      redis
                          redis
some api notes

•have to be fast: few hundred milliseconds
•returning full-text feeds for offline caching
•but feeds can be 300K+ (not great for 3/4G networks)
•gzip! (400K down to 80K)
•balancing speed with utility (again, for offline caching)
news.me backend (ec2 + s3)
content from:
                               kinda big content data store™




                aggregator-1



                                                         mongo
                aggregator-2                              mongo




                                   redis
                aggregator-n        redis
some aggregation notes


•aggregating ~30 million tweets and fb shares (with links) per day
•the streams move pretty fast. had some growing pains with mongo
•kinda big content data store™ = article content and metadata stored in
memcache + multiple ec2 instances + s3


•kinda big content data store™ = over 1 TB of content data
•auto scale the aggregators when we need them - helps keep the cost
down :-)
why use aws?

easy to scale

focus on product

pay for what you need

community (all of Betaworks companies are on
AWS)
do it for the back rubs!
a few tips...


decouple everything (makes dealing with failure
and scaling easier)

measure everything!

keep it lean - one person

don’t reinvent the wheel
p.s. we’re hiring

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