Cloud Migration Without Fear - A...
summary
Metrics-first migration shows concrete wins: teams measure before/during/after and cut provisioning tickets by 95% while supporting thousands of users; telemetry from Loggregator firehose feeds Wavefront by VMware (with Redis short-term store and a multi-node persistent backend) to correlate app spikes to specific Diego cells and the ESXi host beneath them, tracing a bottleneck from SLA blips down to a faulty VM. Dashboards combine business KPIs, histograms and distributed traces across 8,000 containers per foundation for fast root cause.
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chapters (16)
- 0:00Start
- 1:32Build Better Software, Faster
- 3:19VMware Skyline
- 4:57Reactive to Proactive
- 5:42Engineering Perspective and Needs
- 6:27Platform and App Observability
- 8:05Microservices Generate Tons of Metrics!
- 8:21PAS Observability Requires Different kind of Monitoring
- 8:59Look for Observability aaS for Any App and Any Cloud
- 9:43SLO Observability Pillars: Metrics, Traces & Histograms
- 11:05Distributed Traces Best Practices
- 11:59Open Source Integrations to Monitor Other Services
- 12:14Get Insight into Apps and Platform to Troubleshoot Faster
- 12:31How Skyline Developers Deliver High-Quality Code
- 13:35Skyline Unified Visibility Into PCF
- 14:58Skyline Analysis Engine
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