
How can autonomous improve cost, availability and both dev and ops productivity? Experiences from RingCentral, Uber, Cato, fabric, Belcorp, Freshworks, and Norwest Ventures are brought together here in this panel discussion from autocon/22.
Aug 12, 2022
39 min
Video

Prakash Muppirala, EVP Platform at fabric, explains how fabric achieved a 48% reduction in latency and a 6.7x gain in their customer/SRE ratio by implementing an autonomous cloud platform.
Aug 12, 2022
25 min
Video

Most serverless functions are unoptimized resulting in unnecessary latency and/or cost. Serverless functions can be optimized for performance, cost or a balanced strategy without human effort using autonomous systems.
Aug 12, 2022
39 min
Video

Cold starts are the #1 performance problem for Lambda users. Autonomous concurrency provides a solution with fewer cold starts than warmup strategies, and lower cost than provisioned concurrency.
Aug 12, 2022
24 min
Video

Managing Kubernetes with current automated approaches makes it almost impossible to achieve optimal cost, performance and availability. Autonomous offers a path out of this complexity. Autonomous optimization and availability are outlined, the architecture used by Sedai to provide this capability, and how safety is addressed.
Aug 12, 2022
30 min
Video

Observability is a building block for autonomous systems. This session covers the problem with too many metrics, how Palo Alto Networks solved this problem and Sedai's approach to metric prioritization.
Aug 12, 2022
26 min
Video

Siddharth RAM, Ex-CTO Inflection/GoodHire & Intuit Fellow, explains why FCIs (Failed Customer Interactions) are a better way to monitor customer experience than traditional availability metrics. At Goodhire, FCIs were reduced from 3.2% to ~0% through a range of initiatives including an autonomous system.
Aug 11, 2022
20 min
Video

Engineering & cloud experts from Paylocity, Palo Alto Networks, fabric and Norwest Venture Partners discuss the drivers behind the growth of autonomous cloud management in this panel discussion from autocon/22.
Aug 11, 2022
33 min
Video

Kubernetes utilization is typically poor with only 20-45% of requested resources used. Kubernetes optimizations must meet application demands and minimizing idle resources. This video covers the potential to optimize at the pods and node/cluster level. The capabilities and limitations of Kubernetes HPA, VPA and Cluster Autoscaler are covered here.
Aug 11, 2022
25 min
Video

In this session AWS container hero Dijeesh Padinharethil covers autoscaling in Kubernetes, cluster autoscaling, scaling tools and event-driven autoscaling.
Aug 11, 2022
22 min
Video
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