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Blueflood 2.0
and Beyond
@gdusbabek • Berlin Buzzwords 2014 • Rackspace
Blueflood 2.0
and Beyond
@gdusbabek • Berlin Buzzwords 2014 • Rackspace
Blueflood 2.0
and Beyond
@gdusbabek • Berlin Buzzwords 2014 • Rackspace
$ cat CHANGES.txt | grep AWESOME!
Blueflood 2.0
and Beyond
@gdusbabek • Berlin Buzzwords 2014 • Rackspace
Outline

① Current state of Blueflood
② State and potential of the metrics 
community
③ How you can get involved in 
Blueflood
④ Beyond!!!11
	
  
①
Current State

March 2013 – Decide to release
August 2013 – Actually released
Working hard in the mean time.
Lesson:
Open source
project is best
started open
Lesson:
Open source
project is best
started open
Old:
Ingesting 15k
points per
second
New:
Ingesting 30k
points per
second*
Higher
Loads
Tested
New Features
(basically)
Gauge
Gauge
Counter
Timer
Set
Export Rollups to
External Systems
Index metrics
on ingest
Index metrics
on ingest
Index metrics
on ingest
Performance:
Batch
Operations
Cassandra
Storage
Improvements
Cassandra
Storage
Improvements
Improved
Blueflood
API
Better
Multi-tenant
Experience
Better
Multi-tenant
Experience
Great progress,
Right?
Blueflood is
a young
project
AWKWARD!
IMMATURE
Software
Matures too
Java
Blueflood
Maturity
We are here
② 
Potential of the
metrics
ecosystem
Just
getting
started
Expected Future
vs
Actual Future
1MM pts
per second
per node
Not That
Far Away
③ 
Act Now!
Documentation
Give
Blueflood
a Try
Contribute
Code
Enhance
the Tools
Integration
statsDgithub.com/gdusbabek/blueflood-statsd-backend
Graphite
DEMONSTRATION
https://github.com/gdusbabek/blueflood/tree/graphite_integration
https://github.com/gdusbabek/blueflood/tree/lucene_discovery
https://github.com/gdusbabek/graphite-web/tree/blueflood_graphite
④
If We
Succeed…
Community
Easy
Installation
No
Bottlenecks
Better
Technology
Barriers to
Success
Bottlenecks
Immaturity of
metrics space
Non-
technical
Problems
Where do
we go
next?
Where do
we go
next?
Start
Helping
The Future!
Native
Distributed
Time Series
Data Store
Common
APIs
Time Series
Community
More Time Series:

Tue 11:30 – Time Series Data 

With Apache Cassandra

More Cassandra:

Tue 16:10 – Data Modeling in 

the New World
@gdusbabek
outline https://www.flickr.com/photos/zen/3978223!
class https://www.flickr.com/photos/22326055@N06/4264216476!
funnels https://www.flickr.com/photos/7603557@N08/9630569058!
loads https://www.flickr.com/photos/carsten_tb/7326580242!
gauges https://www.flickr.com/photos/antonymayfield/3221166562!
train https://www.flickr.com/photos/trains_in_tasmania/11214831086!
cookies https://www.flickr.com/photos/rhinoneal/5633001128!
drawers https://www.flickr.com/photos/inesplicabile/2093653233!
apartments https://www.flickr.com/photos/tracerbullet999/3722416917!
plants https://www.flickr.com/photos/br1dotcom/3251911748!
meat https://www.flickr.com/photos/splorp/12200621!
help https://www.flickr.com/photos/carianoff/4153837365!
dogs https://www.flickr.com/photos/81509206@N00/466440988!
future https://www.flickr.com/photos/perhapstoopink/4434966765!
bottles https://www.flickr.com/photos/temily/5521871004!
ape https://www.flickr.com/photos/tambako/8164835802!
books https://www.flickr.com/photos/azrasta/5088254388!
tools https://www.flickr.com/photos/katerha/5746905652!
legos https://www.flickr.com/photos/paul_garland/2510703886!
thinker https://www.flickr.com/photos/seatbelt67/502255276!
map https://www.flickr.com/photos/80497449@N04/8280699806!
birds https://www.flickr.com/photos/infomastern/12020409446!
thanks https://www.flickr.com/photos/psd/2086641!
h$ps://crea-vecommons.org/licenses/by/2.0/	
  
Image Credits

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