SLOconf 2022: Emily Gorcenski - A Better SLO for Data Intensive Systems
SLOconf 2023 - A "moving SLO" for machine learning - Emily Gorcenski
P99 CONF 2023 - Emily Gorcenski at Thoughtworks
Emily Gorcenski – A Data Mesh Reference Implementation on AWS | Øredev 2022
Continuous Delivery For Machine Learning: Patterns And Pains - Emily Gorcenski
Organizing for your Ethical Principles - Liz Fong Jones Emily Gorcenski - Percona Live ONLINE 2020
When Data Meets Device: Looking forward to a data driven physical world - Emily Gorcenski
Emily Gorcenski - From Voting Machines to Discord: A Path to Technological Activism
SLOconf 2022: Alex Hidalgo - SLOs for Everyone
SLOconf 2023 - How I learned to stop worrying and love burn rates - Ashley Chen
Emily Gorcenski — Can We Still Build Technology for the Right Reasons | Øredev 2019
SLOconf 2022: Prathamesh Sonpatki - Custom SLOs for all Manage your business with your own metrics
SLOconf 2022: Luis Parada - How FARFETCH is dealing with SLOs
SLOconf: Lukasz Dobek - Service Level Objectives: What are those?
SLOconf 2023 - SLOs as code - Justin Hoang, Stephan Lips, and Devin Cunningham
SLOconf 2021: Introduction to SLO alerting and monitoring - Niall Murphy
SLOconf 2021: Standardizing SLOs as Code - by Andreas Grabner
SREcon19 Asia/Pacific - Latency SLOs Done Right
SLOconf 2021: SLOs & Observability - better together - by Liz Fong-Jones
Archetypes for Reliable Systems - Steve McGhee & Ameer Abbas, Google
Observe 20/20 Keynote - Liz Fong-Jones - The Road to Observability
The ABCs of Treating Data as Product
Data Mesh & Data Vault - Can they really work together?
Episode 9: The one with Liz Fong-Jones
