#72 Reliability in Data Mesh: Why SLAs and SLOs are Crucial - Interview w/ Emily Gorcenski

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here.Emily's LinkedIn: https://www.linkedin.com/in/emily-gorcenski-0a3830200/Emily's Twitter: @EmilyGorcenski / https://twitter.com/EmilyGorcenskiEmily's Polywork profile: https://www.polywork.com/emilygorcenskiEmily's website: https://www.emilygorcenski.com/Alex Hidalgo's Implementing Service Level Objectives book as mentioned: https://www.alex-hidalgo.com/the-slo-bookIn this episode, Scott interviewed Emily Gorcenski, Head of Data and AI at Thoughtworks Germany. Emily has put out some great content relative to data mesh.As a data scientist by training, Emily has a data consumer bent in her views on data mesh. She is therefore often focused on how can data mesh help "me" (her) as a data consumer.SLAs and SLOs come right out of the site reliability engineering playbook from Google. Overall, systems reliability engineering practices are crucial - Emily asked why don't we bring the rigor of other engineering disciplines to software engineering?So, what is an SLA and an SLO? Per Emily, an SLA is a contract between two parties - hence why agreement is in the name. This agreement should be written around an SLO with the SLO serving as a specific target. That can be uptime or latency in the microservices realm but with data, SLOs can get a little - or a lot - more tricky.The theory around developing an SLO is for it to directly connect to business value. Emily believes that when we think about SLOs and data, we shouldn't apply SLOs directly to the data but should shift those SLOs to the left and have SLOs in the software engineering practice that apply to data.Emily mentioned another antipattern for SLAs in general, which is not connecting them to SLOs. But when it comes to data, most teams don't even have any SLAs, connected to an SLO or not. As an industry, software engineering has figured out...