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prompt engineering best practices
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SRE 2.0: Amplifying Reliability with GenAI
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- 1 intro
- 2 preamble
- 3 sre 2.0 : amplifying reliability with genai
- 4 agenda
- 5 quick intro about myself
- 6 gartner sre hype cycle
- 7 sre
- 8 navigating digital transformation: managing ever-growing complexity
- 9 operations is a software problem
- 10 genai emerges: unveiling the power of next-gen artificial intelligence
- 11 unveiling the potential: the capabilityies of llm
- 12 navigating challenges: risks associated with llms
- 13 addressing model challenges: finding effective solutions
- 14 retrieval-augmented generation rag / knowledge bases
- 15 llm agents
- 16 prompt engineering best practices
- 17 prompt engineering properties
- 18 sre 2.0
- 19 genai in observability
- 20 use case - analyze log data to automatically identify root causes of performance issues
- 21 genai in sli, slo, and error budgets
- 22 use case - recommend optimal error budget allocations based on business priorities and user expectations
- 23 genai in system architecture and recovery objectives
- 24 use case - predict the impact of different failure scenarios on system availability and performance
- 25 genai in release & incident engineering
- 26 use case - provide real-time incident response recommendations based on the current situation and historical data
- 27 genai in automation
- 28 use case - analyze the effectiveness of automation workflows and recommend improvements bases on performance metrics
- 29 genai in genai in resilience engineering
- 30 use case - automate the execution of chaos experiments based on identified risk factors and failure scenarios
- 31 genai in genai in blameless postmortems
- 32 use case - analyze historical post-mortem data to identify recurring patterns and trends in incidents
- 33 measure progress with business outcomes
- 34 best practices
- 35 pitfalls to avoid
- 36 thank you.
