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Spartans don’t like bad data
by Paco Orozco
Jun 5th
2019
How many of you have seen it?
● Since October 2017
● Manager of 6 awesome engineers from 4
different nationalities
● Product owner of one of the most adopted
service in the company.
○ YAMS is serving +10K requests/s
● Father of two outstanding daughters
● Hiker
Engineering Manager @
Paco Orozco
About Adevinta
Adevinta is a marketplace specialist. We are an international
family of local digital brands.
We help local marketplaces thrive in 16 countries around
the world, through our global connections and networks
of knowledge.
16
countries
800m
Population
footprint
+1.1m
Plastic tons
saved
Adevinta around the world France
Spain
Brazil
Italy
Ireland
Hungary
Austria
Colombia
UK &
Germany
Chile
Belarus
Tunisia
Dominican
Republic
Mexico
Morocco
The problem
The Proof of Concept Tooling
First results, first success
● Which AWS regions are good enough for me?
● How much latency will I suffer on-boarding this
service?
● Do I need any new region deployment to improve
my service?
● How is my service delivering from X country?
● Am I improving latency of my service?
The RFC process
RFC output
Buy vs
build
S2S only
not user experience
Focus in
The
Metrics
Time to GET
Errors
HTTP and HTTPS
DNS resolution time
IPv4
Remote
probes
Docker
Raspberry Pi
Command line
some iterations later
Current implementation Tooling
Metrics Exposer
Development flow
Client testing
(Yes! test
everything)
Build images
(After every merge
to master)
Client deploy
(balena.io for
devices and docker
+ signed files in S3)
Clients
Targets
15 probes across Adevinta
Success stories
The Yapo case
The future
PoC
(AWSx6, bash,
files)
RFC
(what & how
to implement)
Iterate as
many times
as needed
Current
(AWS+GCP+K
8s+API,
golang,
prometheus)
Future
(allow custom
APIs as
targets)
To summarize
➔ Data needs to be relevant (what we need), accurate (we
rely on it) & consistent (it’s comparable)
➔ Developing a service iteratively will give you always
benefits
➔ The most important topic in this story is to achieve that
our customers trust on the data
Say what you are
going to do and then
do what you say!
Communicate,
communicate and
communicate.
Frequent, honest
communication
builds trust.
Sell without selling
out. Focus more on
your core principles
and customer loyalty
than short term
profits.
Be transparent,
authentic and willing
to share your
mistakes and faults.
Thank you!
adevinta.com
Paco Orozco
@pakusland
adevinta.com
Backup material
Clients Exposer
● Latency Map client (bash)
● Latency Map client tests (bash)
● Latency Map client (go)
● Targets infrastructure
● Dummy test
● Latency Map dashboard
● AWS Service cost

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devops.barcelona 2019 - Spartans don't like bad data

  • 1. Spartans don’t like bad data by Paco Orozco Jun 5th 2019
  • 2. How many of you have seen it?
  • 3. ● Since October 2017 ● Manager of 6 awesome engineers from 4 different nationalities ● Product owner of one of the most adopted service in the company. ○ YAMS is serving +10K requests/s ● Father of two outstanding daughters ● Hiker Engineering Manager @ Paco Orozco
  • 4. About Adevinta Adevinta is a marketplace specialist. We are an international family of local digital brands. We help local marketplaces thrive in 16 countries around the world, through our global connections and networks of knowledge. 16 countries 800m Population footprint +1.1m Plastic tons saved
  • 5. Adevinta around the world France Spain Brazil Italy Ireland Hungary Austria Colombia UK & Germany Chile Belarus Tunisia Dominican Republic Mexico Morocco
  • 7. The Proof of Concept Tooling
  • 8. First results, first success ● Which AWS regions are good enough for me? ● How much latency will I suffer on-boarding this service? ● Do I need any new region deployment to improve my service? ● How is my service delivering from X country? ● Am I improving latency of my service?
  • 10. RFC output Buy vs build S2S only not user experience Focus in The Metrics Time to GET Errors HTTP and HTTPS DNS resolution time IPv4 Remote probes Docker Raspberry Pi Command line
  • 13. Development flow Client testing (Yes! test everything) Build images (After every merge to master) Client deploy (balena.io for devices and docker + signed files in S3) Clients Targets
  • 14. 15 probes across Adevinta
  • 18. PoC (AWSx6, bash, files) RFC (what & how to implement) Iterate as many times as needed Current (AWS+GCP+K 8s+API, golang, prometheus) Future (allow custom APIs as targets) To summarize ➔ Data needs to be relevant (what we need), accurate (we rely on it) & consistent (it’s comparable) ➔ Developing a service iteratively will give you always benefits ➔ The most important topic in this story is to achieve that our customers trust on the data Say what you are going to do and then do what you say! Communicate, communicate and communicate. Frequent, honest communication builds trust. Sell without selling out. Focus more on your core principles and customer loyalty than short term profits. Be transparent, authentic and willing to share your mistakes and faults.
  • 22. ● Latency Map client (bash) ● Latency Map client tests (bash) ● Latency Map client (go) ● Targets infrastructure ● Dummy test ● Latency Map dashboard ● AWS Service cost