Session
Stop assuming recovery works: Operationalizing productised AI-driven resiliency for Kubernetes infra
AI-driven recovery and resiliency assessment platform
Turning disaster recovery solutions, recovery time, and resiliency assessment into measurable capabilities for foundational cloud infra
Benefits of this session to the ecosystem:
- AI driven resiliency transforms scale and speed by understanding run-time/design dependencies and enabling decision making
- Not assuming resiliency by default or waiting for real world failures to happen to test recovery readiness
- Resiliency and recovery readiness can be standardized to create accountability
- Resiliency platforms must be “self-serve” to scale across thousands of services
- Continuous and automated resiliency assessment are the new industry standards
Target Audience & Prerequisites:
- Audience: Platform/Cloud/Infra PMs, Infra engineers, SREs, Cloud and AI leaders
Prerequisites:
- Foundational understanding of cloud infrastructure architecture
- Familiarity with distributed systems challenges such as SPOFs, quorum loss, network partitions
- Basic knowledge of resiliency and disaster recovery concepts
Banreet Kaur
Technical Product Manager at Microsoft Azure Cloud
Delhi, India
Links
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