The Round Room, Mansion House

The Next Iteration: ShipItCon, August 29th, 2025.

The Round Room, Mansion House

The Next Iteration: ShipItCon, August 29th, 2025.

The Round Room, Mansion House

The Next Iteration: ShipItCon, August 29th, 2025.

Speaker Announcement: Luciano Mammino

Posted by Tom Shaw

[Speaker Announcement]

Luciano Mammino

Role/Company : Senior Architect, fourTheorem

Luciano is an AWS Serverless Hero who was born in 1987, the same year Super Mario Bros was released in Europe, which, by chance is his favorite game! He started coding at the age of 12, hacking away with his father’s old i386 armed only with MS-DOS and the QBasic interpreter and since then he has been professionally a software developer for more than 14 years. He is currently a senior Architect at fourTheorem where he is helping companies to get the best of the cloud, AWS, and serverless. He loves the full-stack web, Node.js & Serverless and co-authored “Node.js design patterns” (https://www.nodejsdesignpatterns.com), maintains https://fstack.link and co-hosts https://awsbites.com

 

Session Title : Automating observability on AWS with SLIC Watch

Description   :

Have you ever thought that your Lambda functions could fail without you even noticing?
If the answer is YES, that’s probably because you already “burnt” yourself playing with the cloud, where errors and failures are always around the corner…
Unfortunately we can’t prevent all types of failures, but what we can do is try to spot them as soon as possible and react quickly, possibly before our customers notice.
In order to do that, we need good observability for our serverless applications and therefore we need to become good friends with services like CloudWatch.
If you have tried CloudWatch already, you probably know how powerful but also complex it can be and setting it up correctly… well it’s a lot of work!
In this talk we will introduce SLIC Watch, an open source tool that allows you to apply observability best practices automatically to your applications running on AWS!

Share article: