Site Reliability Engineering: How Google Runs Production Systems
By Betsy Beyer, Chris Jones, Jennifer Petoff, Niall Murphy. 2016
438 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/66262b28bd902d760f5b4e866ee137da39e8cd79
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Marko Vukolic
- Christian Cachin
- Carla Rocha
- Reza Karimi
- Leonardo A. F. Leite
- Dejan S. Milojicic
- Fabio Kon
- Safya Alzayat
Citations in the corpus
- Serving DNNs like Clockwork: Performance Predictability from the Bottom Up (2020, background): “Most cloud and data center services have service-level objectives (SLOs) that codify the performance that clients can expect from the service [40].”
- A Survey of DevOps Concepts and Challenges (2019, methodology): “From this perspective, “Site Reliability Engineer-ing” [58] emerged as a new term related to DevOps work at runtime.”
- Carbon-Aware Computing for Datacenters (2021, unknown): “Most of Google’s compute resources reside in Googledesigned datacenters with proprietary power distribution, cooling, networking and compute hardware [35], [36].”
- Blockchain Consensus Protocols in the Wild (2017, background): “Yet it has taken considerable effort during development and testing and frequent exercising of failure scenarios during deployment [10] to achieve the desired level of resilience in practice.”