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Mind Tricks of AI: Fiction vs. Reality

Mind Tricks of AI: Fiction vs. Reality

Understanding AI hallucinations: The fascinating phenomenon of fabricated responses
Go to the profile of Ivan Molera
Ivan Molera
Why would I need an AI search assistant?

Why would I need an AI search assistant?

Understanding the paradigm shift in the online shopping experience
Go to the profile of Teo Ardoy
Teo Ardoy
From Filters to Phrases: Our AI Revolution in Car Search

From Filters to Phrases: Our AI Revolution in Car Search

How a 15-day sprint transformed the way we connect cars and searches
Go to the profile of Adevinta
Adevinta
Creating source-aligned data products in Adevinta Spain

Creating source-aligned data products in Adevinta Spain

From best-effort governance to governed data integration by design
Go to the profile of Sergio Couto
Sergio Couto
Discover more about working at Adevinta
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How To Reduce Your Grafana Cloud Costs With Adaptive Metrics

How To Reduce Your Grafana Cloud Costs With Adaptive Metrics

Discover the Grafana Cloud feature that helps to identify and optimise metrics costs
Go to the profile of Tanat Lokejaroenlarb
Tanat Lokejaroenlarb
How we avoided an outage caused by running out of IPs in EKS

How we avoided an outage caused by running out of IPs in EKS

Solving IP exhaustion in EKS: Avoiding a network outage by implementing custom networking
Go to the profile of Fabián Sellés Rosa
Fabián Sellés Rosa
Ninja-Commits: A Silent Saboteur

Ninja-Commits: A Silent Saboteur

How sneaky code changes can undermine your team’s delivery and performance
Go to the profile of Rodrigo Molina
Rodrigo Molina
The Karpenter Effect: Redefining Our Kubernetes Operations

The Karpenter Effect: Redefining Our Kubernetes Operations

A reflection on our journey towards AWS Karpenter, improving our Upgrades, Flexibility, and Cost-Efficiency in a 2,000+ Nodes Fleet
Go to the profile of Tanat Lokejaroenlarb
Tanat Lokejaroenlarb
From ten to one: Streamlining experimentation tooling at Adevinta

From ten to one: Streamlining experimentation tooling at Adevinta

How we made the decision to build or buy our experimentation platform
Go to the profile of Alessandro Locatelli
Alessandro Locatelli
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?
Go to the profile of Julian Boronat
Julian Boronat
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…
Go to the profile of Rodrigo Molina
Rodrigo Molina
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
Go to the profile of Tanat Lokejaroenlarb
Tanat Lokejaroenlarb
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
Go to the profile of Guillem Rosselló Baiges
Guillem Rosselló Baiges
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
Go to the profile of Tanat Lokejaroenlarb
Tanat Lokejaroenlarb
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.
Go to the profile of Nicolas Coudry
Nicolas Coudry
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
Go to the profile of Paco Orozco
Paco Orozco
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
Go to the profile of Adevinta
Adevinta
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