Smart Talk – Episode 7 – Cardinality, Control and Costs in Observability

We have discussed observability and the complementary space of AIOps a couple of times on this series but this time, we take a more pragmatic dive into the topic to understand the mentality of the buyer. What should a CIO of an organization look for when they are in the market for an observability solution? Join us on this episode as Dinesh Chandrasekhar, Chief Analyst and Founder of Stratola, talks to Krishna Yadappanavar, CEO of Kloudfuse. Krishna explains observability through the lens of three factors – Cardinality, Control and Costs.

These 3 Cs are key to understanding and managing ever-increasing observability data. These factors are not only important for managing the data but also for leveraging the data and meta data for additional analytics.

A new development in the field of observability is model observability, especially the LLMs that drive generative AI. The 3 Cs also apply to this emerging use case.

Some of the topics covered in this episode of Smart Talk are:
Considering the metadata (7:28)
Tools proliferation (10:40)
Overcoming siloed observability data (13:34)
Observability data’s potential (15:08)
LLM observability (20:57)

Guest
Krishna Yadappanavar, CEO, Kloudfuse
Krishna Yadappanavar is the Co-Founder and CEO of Kloudfuse, a unified observability platform. He previously co-founded SpringPath, securing $94 million in funding and leading the company to a $320 million acquisition by Cisco. With over 20 patents, Krishna has significantly impacted data, virtualization, and storage technologies at Veritas, Commvault, EMC, VMware, and Cisco. He co-authored VMware’s VMFS and designed critical components of the storage virtualization stack for ESX Server. Additionally, Krishna advises and invests in emerging startups across Data, Virtualization, Cloud, Security, and AI/ML, contributing to vision, product strategy, engineering, and go-to-market efforts.

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