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Automatically Detect the Top Performance & Scalability Issues in Distributed Architectures
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- 1 Intro
- 2 Distributed Trace Example from StepStone (AWS Summit Berlin 2019)
- 3 In distributed architectures we need to answer: Who is depending on me? What is the risk of change?
- 4 N+1 Call Pattern across distributed "Product Service"
- 5 LANDBAY
- 6 Cascading N+1 Query Pattern: This is a single End-2-End Distributed Trace
- 7 Payload Flood: "Doc Creation" sequential across distributed services
- 8 Refactor: Only send relevant data to specialized services
- 9 Keptn from 10000ft: Declarative Workflows + Event-Triggered Actions
- 10 Root Cause: Lengthy manual approval in existing delivery pipelines
- 11 Inspired by Dynatrace's internal „Performance Signature as Code
- 12 SLI/SLO-based evaluation implementation in Keptn
- 13 Solution: Automate Approval through SLI/SLO-based Quality Gates
- 14 Demo: Automated SLI/SLO Validation based on Dynatrace Dashboards
- 15 Keptn-Closed-Loop Remediation with Keptn 0.7
- 16 Automate Distributed Problem Detection & Remediation
