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Adevinta Tech Blog
Read stories from our engineers and discover how Adevintans are making an impact in our online marketplaces around the world. #BeTheChange
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The Power of a Data Enablers Team: A Bridge between Business and Platform
The Power of a Data Enablers Team: A Bridge between Business and Platform
Are You Getting the Most Out of Your Data?
Julian Boronat
Sep 24
How we stagger never-ending effects with Cats Effect
How we stagger never-ending effects with Cats Effect
Our solution to pace the start of never-ending concurrent effects that are not covered by open source rate limiters; it’s particularly…
Rodrigo Molina
Sep 17
How we saved €5k a month with a single line of code
How we saved €5k a month with a single line of code
Discovering the hidden opportunity, rolling out a life-changing single line of code and the technology that made it all possible
Tanat Lokejaroenlarb
Sep 3
Adevinta’s Machine Learning Golden Path
Adevinta’s Machine Learning Golden Path
How we built a gold-standard for building and deploying machine learning models across Adevinta
Guillem Rosselló Baiges
Aug 20
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Why did we transition from Gatekeeper to Kyverno for Kubernetes Policy Management?
Why did we transition from Gatekeeper to Kyverno for Kubernetes Policy Management?
Navigating Challenges: Considering the transition from Gatekeeper to Kyverno in Kubernetes Policy Management
Tanat Lokejaroenlarb
Aug 7
Leveraging A/B Testing to “soft disable” unused features and reduce unnecessary calls
Leveraging A/B Testing to “soft disable” unused features and reduce unnecessary calls
Sharing our user-centric approach to reducing emissions through informed decisions.
Nicolas Coudry
Jul 22
The 300 Bytes That Saved Millions: Optimising Logging at Scale
The 300 Bytes That Saved Millions: Optimising Logging at Scale
Sometimes, tiny changes can have a massive impact. Read how eliminating some characters in our logging system produced huge cost savings
Paco Orozco
Jul 9
Artemis: Fostering Autonomy in Monitoring Data Quality
Artemis: Fostering Autonomy in Monitoring Data Quality
A home-grown tool is revolutionising the monitoring and interpretation of key product metrics at Adevinta Benelux
Adevinta
Jun 25
Oops, I forgot to — publish! How can I connect to the container then?
Oops, I forgot to — publish! How can I connect to the container then?
A fun way to connect over the network to an unpublished port of a process running inside a Docker container
Rafael Varago
Jun 4
Centralisation and distribution: When one node is enough
Centralisation and distribution: When one node is enough
When to consider single node alternatives to distributed frameworks
Pipitz
May 28
Trial by Fire: Tales from the SRE Frontlines — Ep2: The Scary ApplicationSet
Trial by Fire: Tales from the SRE Frontlines — Ep2: The Scary ApplicationSet
Understand the safeguard configuration of the ArgoCD’s ApplicationSet through the experience of our SRE who learned from an incident
Tanat Lokejaroenlarb
May 21
Java plugins with isolating class loaders
Java plugins with isolating class loaders
How to write a plugin engine for the JVM
Erik van Oosten
May 14
Copilot and Developer Productivity
Copilot and Developer Productivity
Come along as we explain why we chose GitHub Copilot, what our experience has been and where we are headed in light of the recent AI craze
Roman Tayupov
May 7
Austin return (SXSW 2024)-Between promises and concerns: Tech’s growing reliance on AI
Austin return (SXSW 2024)-Between promises and concerns: Tech’s growing reliance on AI
by Guillaume Grillat (Tech Community Advocate at Adevinta)
Guillaume Grillat
Apr 30
Leveraging an ERP migration to achieve maximum impact as a data team
Leveraging an ERP migration to achieve maximum impact as a data team
Learnings and challenges from turning a complex project with a tight deadline into an opportunity
Olaya Fernández
Apr 23
How we moved from local scripts and spreadsheets shared by email to Data Products
How we moved from local scripts and spreadsheets shared by email to Data Products
Part II — Implementation
Sergio Couto
Apr 7
How we moved from local scripts and spreadsheets shared by email to Data Products
How we moved from local scripts and spreadsheets shared by email to Data Products
Part I
Adevinta
Apr 3
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