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With so many options available, choosing and architecting CloudNative Solutions is a challenging process. Historically, focus has been placed on the solutions that best address specific use-cases and how these fit into the desired overall enterprise ecosystem. Experimenting is not an uncommon practice, especially where the upstream or downstream dependencies are multi-cloud or hybrid.
So how can we efficiently and effectively design our solutions to optimize for fit, reliability, scalability and stability across our complex distributed systems?
In this session, I will cover some key design use-cases, challenges and how Observability, OpenTelemetry and AI/ML is evolving to provide streamlined insights for practitioners to architect for complexity.
