7. Everything works
at small scale
What happens when
something goes wrong
The customer
experience matters
WHY DISTRIBUTED SYSTEMS?
Scale out, up and down predictably
and linearly
Survive server, network or data
center failures
Data locality enables data operations
close to end-users
DISTRIBUTED SYSTEMS
DEVELOPERS OPERATIONS CUSTOMERS SALES
10. Highly available architecture enables any node
to service read or write requests
Expands easily and scales for geographically disbursed
locations reducing latency for end users
Handles massive data scale
Multi-model support from a single platform with RiakCS
WHAT MAKES RIAK
UNIQUE
11. When Riak?
Data Loss is Unacceptable
Need Data in multiple geographies
Availability is Critical
Data won’t fit on a single machine
Scale or scalability is important
Your opps teams like to sleep
Access patterns known in advance
15. We support your full
app lifecycle
Production
Stagin
g
Development
Production SupportDevelopment Support
Dev/Ops
Training
Healthcheck
16. A massive data explosion
is at the center of our
growth strategy. Riak is a
critical component of our
new IT platform
Using Riak to insure high
data availability helps
avoid health risks, and in
the worst case, patient
death
Riak is used to manage
thousands of users and
millions of meters that
create billions of data
points
HEALTHCARE UTILITIESMEDIA
WEB GAMINGSOCIAL
We selected Riak
because Cassandra
simply could not
keep up
By far our biggest
problem with Riak is that
we don’t have problems
with Riak
To enable rapid iteration
at scale, Riot moved to
Riak to support millions
of concurrent players at
any moment
Mission critical systems rely on Riak/RiakCS