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Sanil Nambiar
Session APD23 | June 2nd, 2026 Holly Cummins, STSM, Quarkus
The ROI of Quarkus for
Spring Boot Applications
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Agenda
-What is Quarkus?
-Why Quarkus?
-Can we quantify that?
-The developer experience ROI
-Getting to Quarkus from Spring Boot
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@holly_cummins #Quarkus #IBM #RedHat
2022
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@holly_cummins #Quarkus #IBM #RedHat
“I can’t bring up the
microservices in my Java
dev stack
2022
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@holly_cummins #Quarkus #IBM #RedHat
“I can’t bring up the
microservices in my Java
dev stack
… on my brand new Apple
laptop with a M1 chip and
-
fi
ntech CTO
2022
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@holly_cummins
#RedHat
most java web
frameworks are
resource-hungry
they hog cpu and ram
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@holly_cummins
#RedHat
most java web
frameworks are
verbose
there is a lot of typing
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@holly_cummins #Quarkus #IBM #RedHat
in production, it’s worse
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@holly_cummins #Quarkus #IBM #RedHat
in production, it’s worse
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@holly_cummins #Quarkus #IBM #RedHat
in production, it’s worse
example microservices maths:
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@holly_cummins #Quarkus #IBM #RedHat
in production, it’s worse
example microservices maths:
Lufthansa maintenance scheduling system
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@holly_cummins #Quarkus #IBM #RedHat
in production, it’s worse
example microservices maths:
Lufthansa maintenance scheduling system
single service: ½ core + 1 GB RAM
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@holly_cummins #Quarkus #IBM #RedHat
in production, it’s worse
example microservices maths:
Lufthansa maintenance scheduling system
single service: ½ core + 1 GB RAM
HA → 3x instances
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@holly_cummins #Quarkus #IBM #RedHat
in production, it’s worse
example microservices maths:
Lufthansa maintenance scheduling system
single service: ½ core + 1 GB RAM
HA → 3x instances
~100 microservices
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@holly_cummins #Quarkus #IBM #RedHat
in production, it’s worse
example microservices maths:
Lufthansa maintenance scheduling system
single service: ½ core + 1 GB RAM
HA → 3x instances
~100 microservices
= 150 cores + 300 GB RAM
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@holly_cummins #Quarkus #IBM #RedHat
why is this happening?
mismatch between what we need
and what the platform is optimised for
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@holly_cummins #Quarkus #IBM #RedHat
java was not
designed for the
cloud
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@holly_cummins
#RedHat
old Java frameworks were
optimised for …
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@holly_cummins
#RedHat
long-lived processes
old Java frameworks were
optimised for …
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@holly_cummins
#RedHat
long-lived processes
annual (!) deployments
old Java frameworks were
optimised for …
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@holly_cummins
#RedHat
long-lived processes
annual (!) deployments
late-binding
old Java frameworks were
optimised for …
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@holly_cummins
#RedHat
long-lived processes
annual (!) deployments
late-binding
re-con
fi
gurable without restart
old Java frameworks were
optimised for …
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enter … quarkus
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a Java framework that gets you going faster, faster.
enter … quarkus
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what is quarkus?
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No content
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hibernate
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hibernate
rest
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hibernate
rest
jackson
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hibernate
rest
jackson
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hibernate
netty
rest
jackson
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hibernate
netty
rest
langchain4j
jackson
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hibernate
netty
rest
langchain4j
jackson
etc
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hibernate
netty
rest
langchain4j
jackson
etc
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hibernate
netty
rest
langchain4j
jackson
etc
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
build infrastructure
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
build infrastructure
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
build infrastructure
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
build infrastructure
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
build infrastructure
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
build infrastructure
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
build infrastructure
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
build infrastructure
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hibernate
netty
rest
langchain4j
jackson
etc
runtime infrastructure
build infrastructure
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netty
etc
runtime infrastructure
build infrastructure
hibernate
rest
langchain4j
jackson
- An integrated collection of your favourite libraries (Hibernate, Jackson, dependency injection, Netty, etc)
- A super-scalable core, build on Eclipse Vert.x
- Minimises unnecessary work at runtime
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netty
etc
runtime infrastructure
build infrastructure
hibernate
rest
langchain4j
jackson
- An integrated collection of your favourite libraries (Hibernate, Jackson, dependency injection, Netty, etc)
- A super-scalable core, build on Eclipse Vert.x
- Minimises unnecessary work at runtime
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e
ffi
ciency
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e
ffi
ciency
build-time
principle
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e
ffi
ciency
build-time
principle
reactive core
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e
ffi
ciency
developer experience
(also e
ffi
ciency)
build-time
principle
reactive core
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e
ffi
ciency
developer experience
(also e
ffi
ciency)
build-time
principle
reactive core
live reload
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e
ffi
ciency
developer experience
(also e
ffi
ciency)
build-time
principle
reactive core
live reload
continuous testing
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e
ffi
ciency
developer experience
(also e
ffi
ciency)
build-time
principle
reactive core
minimising
boilerplate
live reload
continuous testing
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e
ffi
ciency
developer experience
(also e
ffi
ciency)
build-time
principle
reactive core
minimising
boilerplate
live reload
continuous testing
dev ui
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e
ffi
ciency
developer experience
(also e
ffi
ciency)
build-time
principle
reactive core
minimising
boilerplate
live reload
continuous testing
dev ui
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e
ffi
ciency
developer experience
(also e
ffi
ciency)
build-time
principle
reactive core
minimising
boilerplate
live reload
continuous testing
dev ui
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why is quarkus novel?
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@holly_cummins
#RedHat
application frameworks were
optimised for dynamism
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@holly_cummins
#RedHat
application frameworks
optimised for dynamism
dynamism has a cost
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@holly_cummins
#RedHat
paying a dynamism tax
… even though the app is not dynamic
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@holly_cummins
#RedHat
a highly dynamic
runtime in a container
is pointless
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@holly_cummins #RedHat
most apps are
immutable
now
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@holly_cummins #RedHat
most apps are
immutable
now
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@holly_cummins #RedHat
most apps are
immutable
now
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@holly_cummins #RedHat
most apps are
immutable
now
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@holly_cummins #RedHat
most apps are
immutable
now
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@holly_cummins #RedHat
most apps are
immutable
now
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
build time
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
build time runtime
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
build time runtime
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
packaging
(maven, gradle…)
build time runtime
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
build time runtime
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
build time runtime
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
build time runtime
load and parse
• config files
• properties
• yaml
• xml
• etc.
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
build time runtime
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
@
@
build time runtime
• classpath scanning and
annotation discovery
• attempt to load class to
enable/disable features
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
@
@
build time runtime
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
@
@
build time runtime
build a metamodel
of the world
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
@
@
build time runtime
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
@
@
build time runtime
start
• thread pools
• I/O
• etc.
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@holly_cummins #Quarkus #IBM #RedHat
how does a java framework start?
@
@
build time runtime
ready to
do work!
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@holly_cummins #Quarkus #IBM #RedHat
what if we start the application more than once?
@
@
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@holly_cummins #Quarkus #IBM #RedHat
what if we start the application more than once?
@
@
@
@
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@holly_cummins #Quarkus #IBM #RedHat
what if we start the application more than once?
@
@
@
@
@
@
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@holly_cummins #Quarkus #IBM #RedHat
what if we start the application more than once?
@
@
@
@
@
@
@
@
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@holly_cummins #Quarkus #IBM #RedHat
what if we start the application more than once?
@
@
@
@
@
@
@
@
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@holly_cummins #Quarkus #IBM #RedHat
what if we start the application more than once?
@
@
@
@
@
@
@
@
so much work gets
redone every time
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
Class.forName(“APossibleJTAImplementation”);
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
Class.forName(“APossibleJTAImplementation”);
Class.forName(“AnotherJTAImplementation”);
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
Class.forName(“APossibleJTAImplementation”);
Class.forName(“AnotherJTAImplementation”);
…
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
Class.forName(“APossibleJTAImplementation”);
Class.forName(“AnotherJTAImplementation”);
Class.forName(“NicheJTAImplementation”);
…
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
Class.forName(“APossibleJTAImplementation”);
Class.forName(“AnotherJTAImplementation”);
Class.forName(“NicheJTAImplementation”);
Class.forName(“VeryNicheJTAImplementation”);
…
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
Class.forName(“APossibleJTAImplementation”);
Class.forName(“AnotherJTAImplementation”);
Class.forName(“NicheJTAImplementation”);
Class.forName(“VeryNicheJTAImplementation”);
…
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
Class.forName(“APossibleJTAImplementation”);
Class.forName(“AnotherJTAImplementation”);
Class.forName(“NicheJTAImplementation”);
Class.forName(“VeryNicheJTAImplementation”);
…
~129
auto-wiring attempts
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@holly_cummins
Hibernate
speed example: JTA auto-wiring
Class.forName(“LikelyJTAImplementation”);
Class.forName(“APossibleJTAImplementation”);
Class.forName(“AnotherJTAImplementation”);
Class.forName(“NicheJTAImplementation”);
Class.forName(“VeryNicheJTAImplementation”);
…
~129
auto-wiring attempts
every single start.
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@holly_cummins
it’s not just JTA
this happens for lots of internal service bindings
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@holly_cummins
JVM
footprint example: Hibernate
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@holly_cummins
JVM spends time
loading classes for
specific databases
JVM
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
footprint example: Hibernate
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@holly_cummins
JVM spends time
loading classes for
specific databases
JVM
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
class for
unused
database
turns out they’re
never used
footprint example: Hibernate
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@holly_cummins
JVM spends time
loading classes for
specific databases
JVM
turns out they’re
never used
JIT spends time
unloading classes
footprint example: Hibernate
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@holly_cummins
Hibernate
example:
~500 classes
which are only useful if you're running an Oracle database
loaded and then unloaded
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@holly_cummins
Hibernate
example:
~500 classes
which are only useful if you're running an Oracle database
loaded and then unloaded
every single start.
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@holly_cummins
the true cost of loaded classes isn’t just memory + start time
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@holly_cummins
the true cost of loaded classes isn’t just memory + start time
method dispatching:
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@holly_cummins
interface
the true cost of loaded classes isn’t just memory + start time
method dispatching:
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@holly_cummins
unused
implementation
the one we
want
interface
unused
implementation
unused
implementation
the true cost of loaded classes isn’t just memory + start time
method dispatching:
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@holly_cummins
unused
implementation
the one we
want
interface
unused
implementation
unused
implementation
the true cost of loaded classes isn’t just memory + start time
method dispatching:
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@holly_cummins
unused
implementation
the one we
want
interface
megamorphic call
slow dispatching
unused
implementation
unused
implementation
the true cost of loaded classes isn’t just memory + start time
method dispatching:
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@holly_cummins
the true cost of loaded classes isn’t just memory + start time
the one we
want
interface
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@holly_cummins
the true cost of loaded classes isn’t just memory + start time
the one we
want
monomorphic call
fast dispatching
interface
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@holly_cummins
how do we fix all this?
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@holly_cummins #Quarkus #IBM #RedHat
@
@
build time runtime
what if we initialize at build time?
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@holly_cummins #Quarkus #IBM #RedHat
@
@
build time runtime
what if we initialize at build time?
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@holly_cummins #Quarkus #IBM #RedHat
@
@
build time runtime
start
• thread pools
• I/O
• etc.
what if we initialize at build time?
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@holly_cummins #Quarkus #IBM #RedHat
@
@
build time runtime
ready to
do work!
start
• thread pools
• I/O
• etc.
what if we initialize at build time?
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@holly_cummins #Quarkus #IBM #RedHat
@
@
repeated starts are now
efficient
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@holly_cummins #Quarkus #IBM #RedHat
@
@
repeated starts are now
efficient
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@holly_cummins #Quarkus #IBM #RedHat
@
@
repeated starts are now
efficient
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@holly_cummins #Quarkus #IBM #RedHat
@
@
repeated starts are now
efficient
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@holly_cummins #Quarkus #IBM #RedHat
@
@
repeated starts are now
efficient
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@holly_cummins #Quarkus #IBM #RedHat
@
@
repeated starts are now
efficient
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@holly_cummins #Quarkus #IBM #RedHat
@
@
repeated starts are now
efficient
less wasted work
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@holly_cummins #Quarkus #IBM #RedHat
the Quarkus way enables native compilation
native
(graalvm)
@
@
jvm
build time
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@holly_cummins #Quarkus #IBM #RedHat
the Quarkus way enables native compilation
native
(graalvm)
@
@
jvm
build time
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to the code!
@holly_cummins #RedHat
native binaries with Quarkus
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#Quarkus @holly_cummins
2020
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#Quarkus @holly_cummins
hey, wanna see
quarkus?
hey, wanna see
quarkus?
hey, wanna see
quarkus?
hey, wanna see
quarkus?
hey, wanna see
quarkus?
2020
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#Quarkus @holly_cummins
hey, wanna see
quarkus?
hey, wanna see
quarkus?
hey, wanna see
quarkus?
hey, wanna see
quarkus?
hey, wanna see
quarkus?
uhh … are you
supposed to shut down
applications after using
them?
2020
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#Quarkus @holly_cummins
hey, wanna see
quarkus?
hey, wanna see
quarkus?
hey, wanna see
quarkus?
hey, wanna see
quarkus?
hey, wanna see
quarkus?
uhh … are you
supposed to shut down
applications after using
them?
120 instances (!)
2020
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@holly_cummins
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@holly_cummins
doing more up-front
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@holly_cummins
doing more up-front
- speeds up start
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@holly_cummins
doing more up-front
- speeds up start
- shrinks memory footprint
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@holly_cummins
doing more up-front
- speeds up start
- shrinks memory footprint
- improves throughput (!)
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can we quantify that?
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spoiler:
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2 - 3x
infra savings
spoiler:
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to the code!
@holly_cummins #RedHat
performance comparisons
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https://github.com/quarkusio/spring-quarkus-perf-comparison
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quarkus has great performance
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quarkus starts fast
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quarkus is lean with memory
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quarkus has super throughput
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how does all that impact costs?
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low load
pack many instances onto a node
memory is the limiting factor
how much hardware does an app need?
high load
horizontally scale to support load
max throughput is the limiting
factor
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machine
(1GiB RAM)
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machine
(1GiB RAM)
300 MiB RAM
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machine
(1GiB RAM)
300 MiB RAM
300 MiB RAM
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machine
(1GiB RAM)
300 MiB RAM
300 MiB RAM
300 MiB RAM
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machine
(1GiB RAM)
300 MiB RAM
300 MiB RAM
300 MiB RAM
300 MiB RAM
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machine
(1GiB RAM)
300 MiB RAM
300 MiB RAM
300 MiB RAM
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No content
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assumptions: EC2 c6i.xlarge instance, us-east-1, $0.17 per hour
low load scenario: cost per instance per year
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quarkus
spring
p
r
i
0.17
p
r
i
1489.2
assumptions: EC2 c6i.xlarge instance, us-east-1, $0.17 per hour
low load scenario: cost per instance per year
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quarkus
spring
p
r
i
0.17
p
r
i
1489.2
jvm
US$64.75
US$135.38
assumptions: EC2 c6i.xlarge instance, us-east-1, $0.17 per hour
low load scenario: cost per instance per year
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quarkus
spring
p
r
i
0.17
p
r
i
1489.2
jvm
US$64.75
US$135.38
native
US$19.86
US$64.75
assumptions: EC2 c6i.xlarge instance, us-east-1, $0.17 per hour
low load scenario: cost per instance per year
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quarkus
spring
p
r
i
0.17
p
r
i
1489.2
jvm
US$64.75
US$135.38
native
US$19.86
US$64.75
assumptions: EC2 c6i.xlarge instance, us-east-1, $0.17 per hour
low load scenario: cost per instance per year
2.1x
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quarkus
spring
p
r
i
0.17
p
r
i
1489.2
jvm
US$64.75
US$135.38
native
US$19.86
US$64.75
assumptions: EC2 c6i.xlarge instance, us-east-1, $0.17 per hour
low load scenario: cost per instance per year
2.1x 3.3x
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p
r
i
p
r
i
jvm native
quarkus
0.17
1489.2 US$6,475 US$1,986
spring US$13,538 US$6,475
low load scenario: cost per hundred instances per year
assumptions: EC2 c6i.xlarge instance, us-east-1, $0.17 per hour
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10,000 tps
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10,000 tps
machine
15,000 tps
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10,000 tps 20,000 tps
machine
15,000 tps
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10,000 tps 20,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
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10,000 tps 20,000 tps 30,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
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10,000 tps 20,000 tps 30,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
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10,000 tps 20,000 tps 30,000 tps 40,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
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10,000 tps 20,000 tps 30,000 tps 40,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
machine
15,000 tps
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native
2.5x
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jvm
1.7x
native
2.5x
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No content
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native
$85k
savings/year
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jvm
$16k
savings/year
native
$85k
savings/year
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#Quarkus @holly_cummins
we also see better response times
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#Quarkus @holly_cummins
users care (a lot)
about response time
we also see better response times
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can we trust this data?
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what we see in the
fi
eld matches
what we see in the lab.
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@holly_cummins #Quarkus #IBM #RedHat
remember the airline scheduling application?
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@holly_cummins #Quarkus #IBM #RedHat
remember the airline scheduling application?
“[With Quarkus], we can run 3 times denser
deployments without sacrificing availability and
response times of services. ”
– Thorsten Pohl
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@holly_cummins #Quarkus #IBM #RedHat
remember the airline scheduling application?
“[With Quarkus], we can run 3 times denser
deployments without sacrificing availability and
response times of services. ”
– Thorsten Pohl
3x
less hardware
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https://www.reddit.com/r/SpringBoot/comments/1tj5tsn/comment/on04x23/
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https://www.reddit.com/r/SpringBoot/comments/1tj5tsn/comment/on04x23/
2.7x
less memory
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is quarkus greener?
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@holly_cummins #Quarkus #IBM #RedHat
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@holly_cummins #Quarkus #IBM #RedHat
does being faster
and lighter mean
quarkus is
greener?
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to the code!
@holly_cummins #RedHat
energy comparisons
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@holly_cummins #RedHat
Setup:
• REST + CRUD
• large heap
• RAPL energy measurement
• multiple instances to
support high load
Assumptions:
• US energy mix
Source: John O’Hara
experiment 1: RAPL measurements
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@holly_cummins #RedHat
Setup:
• REST + CRUD
• large heap
• RAPL energy measurement
• multiple instances to
support high load
Assumptions:
• US energy mix
Source: John O’Hara
experiment 1: RAPL measurements
quarkus on JVM has the lowest carbon …
because it has the highest throughput
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@holly_cummins #RedHat
Setup:
• REST + CRUD
• large heap
• RAPL energy measurement
• multiple instances to
support high load
Assumptions:
• US energy mix
Source: John O’Hara
experiment 1: RAPL measurements
quarkus on JVM has the lowest carbon …
because it has the highest throughput
~½
the energy
requirements
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@holly_cummins #RedHat
density
Source: Clement Esco
ff i
er
experiment 2: cloud
Setup:
• 800 requests/second, over 20
days
• SLA > 99%
• AWS instances
Assumptions:
• Costs are for us-east-1 data
centre
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@holly_cummins #RedHat
interpolated carbon metrics – hardware and electricity
Setup:
• 800 requests/second, over 20 days
• SLA > 99%
Assumptions:
• 50% load
Source: Clement Esco
ffi
er x Teads
cloud carbon impact of framework choice
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@holly_cummins #RedHat
interpolated carbon metrics – hardware and electricity
Setup:
• 800 requests/second, over 20 days
• SLA > 99%
Assumptions:
• 50% load
Source: Clement Esco
ffi
er x Teads
cloud carbon impact of framework choice
the carbon is lower because
the cost is lower
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@holly_cummins #RedHat
interpolated carbon metrics – hardware and electricity
Setup:
• 800 requests/second, over 20 days
• SLA > 99%
Assumptions:
• 50% load
Source: Clement Esco
ffi
er x Teads
cloud carbon impact of framework choice
the carbon is lower because
the cost is lower
~½
the carbon
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developer experience
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developers cost money too
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@holly_cummins #Quarkus #IBM #RedHat
quarkus enables faster feedback
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@holly_cummins #Quarkus #IBM #RedHat
mvn quarkus:dev
zero-con
fi
g live coding
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@holly_cummins #Quarkus #IBM #RedHat
tests are run on every code change
“reverse code coverage” means only relevant tests run
mvn quarkus:dev
continuous testing
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@holly_cummins #Quarkus #IBM #RedHat
developer UI
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to the code!
@holly_cummins #RedHat
dev mode and continuous testing
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@holly_cummins #Quarkus #IBM #RedHat
with quarkus, developers
have to type less boilerplate
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@holly_cummins #Quarkus #IBM #RedHat
with quarkus, developers
have to read less boilerplate
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@holly_cummins #Quarkus #IBM #RedHat
zero-con
fi
g testcontainers
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@holly_cummins #Quarkus #IBM #RedHat
testcontainers integration … without quarkus
@TestConfiguration(proxyBeanMethods = false)
public class ContainersConfig {
@Bean
@ServiceConnection
public PostgreSQLContainer postgres() {
return new PostgreSQLContainer<>(DockerImageName.parse("postgres:14"));
}
}
public class TestApplication {
public static void main(String[] args) {
SpringApplication
.from(MySpringDataApplication::main)
.with(ContainersConfig.class)
.run(args);
}
}
@Import(ContainersConfig.class)
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@holly_cummins #Quarkus #IBM #RedHat
testcontainers integration … without quarkus
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@holly_cummins #Quarkus #IBM #RedHat
zero-config testcontainers integration
the only thing you need to do to make
testcontainers work is not con
fi
gure anything
# configure your datasource
quarkus.datasource.db-kind = postgresql
quarkus.datasource.username = sarah
quarkus.datasource.password = connor
quarkus.datasource.jdbc.url = jdbc:postgresql://localhost:5432/mydatabase
# drop and create the database at startup
quarkus.hibernate-orm.database.generation = drop-and-create
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@holly_cummins #Quarkus #IBM #RedHat
zero-config testcontainers integration
the only thing you need to do to make
testcontainers work is not con
fi
gure anything
# drop and create the database at startup
quarkus.hibernate-orm.database.generation = drop-and-create
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@holly_cummins #Quarkus #IBM #RedHat
zero-config testcontainers integration
the only thing you need to do to make
testcontainers work is not con
fi
gure anything
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@holly_cummins #Quarkus #IBM #RedHat
zero-config testcontainers integration
the only thing you need to do to make
testcontainers work is not con
fi
gure anything
quarkus also auto-invokes
fl
yway and liquibase
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@holly_cummins #Quarkus #IBM #RedHat
@ApplicationScoped
public class GreetingRepository {
public Entity findByName(int name) {
return find("name", name).firstResult();
}
void persist(Entity entity) {}
void delete(Entity entity) {}
Entity findById(Id id) {}
List list(String query, Sort sort, Object... params) {
return null;
}
Stream stream(String query, Object... params) {
return null;
}
long count() {
return 0;
}
long count(String query, Object... params) {
return 0;
}
}
example: panache + hibernate
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@holly_cummins #Quarkus #IBM #RedHat
example: panache + hibernate
@ApplicationScoped
public class GreetingRepository implements PanacheRepository {
public Entity findByName(int name) {
return find("name", name).firstResult();
}
}
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@holly_cummins #Quarkus #IBM #RedHat
DAO
example: panache + hibernate
@ApplicationScoped
public class GreetingRepository implements PanacheRepository {
public Entity findByName(int name) {
return find("name", name).firstResult();
}
}
repository pattern
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@holly_cummins #Quarkus #IBM #RedHat
example: panache + hibernate
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@holly_cummins #Quarkus #IBM #RedHat
example: panache + hibernate
active record pattern
@Entity
public class Greeting extends PanacheEntity {
public String name;
public LocalDate issued;
@Version
public int version;
public static List getTodaysGreetings() {
return list("date", LocalDate.now());
}
}
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@holly_cummins #Quarkus #IBM #RedHat
can we quantify that?
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https://www.reddit.com/r/SpringBoot/comments/1tj5tsn/comment/on04x23/
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https://www.reddit.com/r/SpringBoot/comments/1tj5tsn/comment/on04x23/
40%
less code
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Christos Sotiriou, DXL technical lead at Vodafone Greece
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2019: Moved digital experience to
quarkus (from Spring Boot)
Christos Sotiriou, DXL technical lead at Vodafone Greece
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2019: Moved digital experience to
quarkus (from Spring Boot)
• Startup times 40s ➡ 12s
Christos Sotiriou, DXL technical lead at Vodafone Greece
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2019: Moved digital experience to
quarkus (from Spring Boot)
• Startup times 40s ➡ 12s
• RAM 800 MB ➡ 360 MB
Christos Sotiriou, DXL technical lead at Vodafone Greece
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2019: Moved digital experience to
quarkus (from Spring Boot)
• Startup times 40s ➡ 12s
• RAM 800 MB ➡ 360 MB
• Developer productivity ⬆ 30-40%–
Christos Sotiriou, DXL technical lead at Vodafone Greece
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2019: Moved digital experience to
quarkus (from Spring Boot)
• Startup times 40s ➡ 12s
• RAM 800 MB ➡ 360 MB
• Developer productivity ⬆ 30-40%–
30-40%
more productive
Christos Sotiriou, DXL technical lead at Vodafone Greece
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Quarkus Insights #192, https://www.youtube.com/watch?v=YNxz3KaTz5Y
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Quarkus Insights #192, https://www.youtube.com/watch?v=YNxz3KaTz5Y
~2x
more
productive
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Quarkus Insights #192, https://www.youtube.com/watch?v=YNxz3KaTz5Y
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2-3x
less dev costs
Quarkus Insights #192, https://www.youtube.com/watch?v=YNxz3KaTz5Y
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Quarkus Insights #192, https://www.youtube.com/watch?v=YNxz3KaTz5Y
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Quarkus Insights #192, https://www.youtube.com/watch?v=YNxz3KaTz5Y
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“Quarkus is an absolute joy”
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#RedHat
@holly_cummins
job satisfaction is
the no. 1
predictor of
organizational
performance
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migration
(the i in roi)
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@holly_cummins #Quarkus #IBM #RedHat
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@holly_cummins #Quarkus #IBM #RedHat
compatibility libraries
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@holly_cummins #Quarkus #IBM #RedHat
io.quarkus
quarkus-spring-web
io.quarkus
quarkus-spring-data-jpa
compatibility libraries
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@holly_cummins #Quarkus #IBM #RedHat
compatibility libraries
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@holly_cummins #Quarkus #IBM #RedHat
migration
compatibility libraries
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@holly_cummins #Quarkus #IBM #RedHat
migration
compatibility libraries
tooling
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@holly_cummins #Quarkus #IBM #RedHat
migration
compatibility libraries
tooling
ai skills
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to the code!
@holly_cummins #RedHat
spring compatibility libraries
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@holly_cummins #Quarkus #IBM #RedHat
“After a week of development with
Quarkus, I was able to regain the
same level of productivity as when
I was developing with Spring Boot.”
– Fawaz Paraïso, Decathlon
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the double-win
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@holly_cummins
#RedHat
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@holly_cummins
#RedHat
co-benefits
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@holly_cummins
#RedHat
co-benefits
the double win
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@holly_cummins
#RedHat
co-benefits
the double win
win-win
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@holly_cummins
#RedHat
co-benefits
the double win
win-win
twofer
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@holly_cummins
#RedHat
co-benefits
the double win
win-win
twofer
überwinden
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@holly_cummins
#RedHat
co-benefits
the double win
win-win
twofer
überwinden
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@holly_cummins
#RedHat
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@holly_cummins
#RedHat
cheaper at low load
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@holly_cummins
#RedHat
cheaper at low load
cheaper at high load
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@holly_cummins
#RedHat
cheaper at low load
cheaper at high load
greener
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@holly_cummins
#RedHat
cheaper at low load
cheaper at high load
greener
more productive
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@holly_cummins
#RedHat
cheaper at low load
cheaper at high load
greener
more productive
happier
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@holly_cummins #Quarkus #IBM #RedHat
tl;dpa
(too long didn’t pay attention)
deployment density
lower cloud bill
frictionless development experience
Medium Nano
auto-provision services
zero-con
fi
g live coding
continuous testing
developer UI
greener
happy, productive people
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@holly_cummins #Quarkus #IBM #RedHat
stl;dpa
(still too long didn’t pay attention)
e
ffi
ciency
quarkus can be packed ~2x more
densely than spring boot
quarkus can handle ~2x more
tra
ffi
c on the same hardware
developer experience
quarkus creates joy
quarkus boosts productivity by
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@holly_cummins #Quarkus #IBM #RedHat
stl;dpa
(still too long didn’t pay attention)
e
ffi
ciency
quarkus can be packed ~2x more
densely than spring boot
quarkus can handle ~2x more
tra
ffi
c on the same hardware
developer experience
quarkus creates joy
quarkus boosts productivity by
2x
less infra
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@holly_cummins #Quarkus #IBM #RedHat
stl;dpa
(still too long didn’t pay attention)
e
ffi
ciency
quarkus can be packed ~2x more
densely than spring boot
quarkus can handle ~2x more
tra
ffi
c on the same hardware
developer experience
quarkus creates joy
quarkus boosts productivity by
40%
more productive
2x
less infra
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