Integrating optimization into your cloud journey
summary
Granulate presents three concrete tools: G-Profiler for continuous flame‑graph profiling, a realtime runtime agent that tunes OS/runtime queues, and G-Maestro for automated right‑sizing. Claimed results are 20–50% improvements; customer examples show ~30% CPU reduction in retail clusters, ~40% shorter Big Data job completion times, and ~40% capacity savings for a spiky gaming workload. Installation is minutes for the agent, profiling is continuous, end state is lower latency and throughput improvements that translate directly to reduced instance count and cloud spend.
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chapters (9)
- 0:00Introduction to cloud optimization
- 1:28Maslow’s hierarchy of cloud needs
- 10:17Autonomous optimization vision
- 14:08Real-time optimization agent demo
- 20:38Agent performance results
- 22:27G-Profiler code analysis
- 25:18G-Maestro capacity management
- 33:20Customer success stories
- 39:07Key takeaways and next steps
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