Ana introduces Quarkus, an open source framework for building microservices. She highlights some key metrics that Quarkus can track like throughput, queue time, and error rates. Quarkus offers features like live reloading, support for reactive and imperative programming models, and early detection of dependency injection errors. Ana encourages attendees to see Quarkus in action and shares takeaways on getting more insights from metrics and annotating methods to monitor performance.

1. T A I L O R M E T R I C S T H A T M A T T E R
W I T H Q U A R K U S
A N A M A R I A M I H A L C E A N U
T E C H F L O W
@ammbra1508

2. H E L L O !
T E C H F L O W
@ammbra1508
I am Ana
Java Champion, Solutions Architect @ IBM
Co-founder of Bucharest Software Craftsmanship
Community

3. T E C H F L O W
@ammbra1508

4. M E T R I C S T H AT M AT T E R ?
T E C H F L O W
@ammbra1508
Throughput Queue Time Average
Response Time
Error Rates Memory

5. W H Y Q U A R K U S ?
T E C H F L O W
@ammbra1508
Developer
experience –
Live reload
Panache - on top of
JPA and Hibernate
ORM
Support for reactive
and imperative
models.
Spring API
compatibility
Early detection of
dependency injection
errors

6. S E E I N G I S B E L I E V I N G
@ammbra1508
T E C H F L O W

7. TA K E AWAY S
Get
Get more insights with DistributionSummary or by
dynamically adding more tags.
Add
@Timed annotation on top of the expected methods to run
long-running operations and deserve a closer inspection.
Use
@Counted annotation on top of the methods to check the
number of invocations.
Global Tags
Create your own global tags to help further you inspecting
performance statistics per region.
T E C H F L O W
@ammbra1508

8. T E C H F L O W
@ammbra1508
https://github.com/ammbra/micrometering-with-quarkus