Query latency, through put of analysis, and durability of persistence are easy ways to think about the quality of data systems; however, there is usually hidden complexity. We'll look at data systems from a Site Reliability Engineering perspect ive to try and surface some of that complexity and address it, improving th e experiences of both system owners and end users.
\nSite Reliability Engineering is essentially a Google-created, formalized implementation of "dev-ops" principles. Through concepts like error budgets and ser vice level objectives and activities like risk analysis and production read iness reviews, SRE helps businesses control where resources are spent while focusing on user happiness. Some groups may choose to adopt some subset of SRE practices and mindset, while others may optimize their entire product flow through the SRE process.
\nBy examining specifically how to appl y SRE to data systems, we'll give attendees a host of new approaches to solving reliability and scalability problems and a starting point tow ard implementing SRE methodologies in their own organizations.
\nAtte ndees will:
\n\n Be introduced to core Site Reliability Engineering concepts like Service Le vel Objectives and Error Budgets\n Learn how SRE is used to balance development velocity vs. system reliabilit y\n Learn to differentiate SLOs from SLIs from SLAs\n See real-world examples of risk analysis and other SRE activities as applie d to a modern data system\n Gain a foothold in the SRE landscape, from which they can seek further educ ation to adopt SRE practices\n\n DTSTART:20181011T105000 SUMMARY:Reliability Engineering for Your Data DTEND:20181011T114959 LOCATION: See Description END:VEVENT END:VCALENDAR