How can autonomous improve cost, availability and productivity? Experiences from RingCentral, Uber, Cato, fabric, Belcorp, Freshworks, and Norwest Venture Partners are brought together here in this panel discussion from autocon/22. Panelists: Kira Makagon, Chief Innovation Officer, RingCentral Matt Howard, General Partner, Norwest Venture Partners Suresh Mathew, Founder & CEO, Sedai Dean Nelson. CEO, Cato and Ex-Head Uber Compute (Moderator) Key moments: 00:00: Why automation is no longer enough 01:47: Autonomy negates the tradeoffs of the past between quality, speed and cost 03:51: RingCe ..read more

Prakash Muppirala, EVP Platform at fabric, explains how fabric achieved a 48% reduction in latency and a 6.7x gain in their customers/SRE ratio by implementing an autonomous cloud platform. Prakash explains the importance of latency in ecommerce, fabric's unique challenges, and their path to autonomous cloud management with Sedai. Key chapters: 01:31: Why latency is critical in e-commerce 04:01: Need for trust and scalability for fabric's headless commerce service 04:49: fabric's environment has 10,000 services, uses Lambda, ECS, EKS 05:23: Key challenges at fabric 09:11:Three key challenges ..read more

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. Nikhil Gopinath, VP ML at Sedai, outlines these challenges and the autonomous solution, and also reviews key results from fabric which cut latency by 48% using an autonomous system. Key moments: 01:53: Optimization Challenges for Serverless 03:36: Memory Settings 09:36: Optimize for Performance & Cost 11:18: The default for most Lambdas 12:20: The best of both worlds 13:06: R ..read more

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. Sedai VP of ML, Nikhil Gopinath explains the underlying challenge of cold starts and presents the autonomous concurrency solution and compares it to traditional solutions. Key moments: 00:49: Understanding concurrency and cold starts 04:20: Cold starts by the numbers 05:56: Concurrent requests and cold starts 08:02: Provisioned concurrency 09:41: Introducing autonomous concurrency 11:53: Difference fr ..read more

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. Key moments: 00:20: Why autonomous when we can automate everything? 03:10: Automation for Kubernetes 04:00: Elements to manage availability & optimization 08:14: Constraints & variables to manage 13:21: Complexity of k8s: 18,000 variables to optimize 100 microserv ..read more

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. Key moments: 00:22: Picking the right metrics 01:18: What is Autonomous Cloud Management? 02:15: Sedai Architecture 03:14: The Metrics Overload Problem 04:53: Most metrics data is redundant, irrelevant and noisy 06:12: Only some metrics identify root cause 07:17: Overview of Palo Alto Networks 07:58: SASE is a new approach to security 09:33: Palo Alto Network's monitoring challenge 11:17.:Golde ..read more

Siddharth RAM, Ex-CTO Inflection/GoodHire & Intuit Fellow, explains why FCIs (Failed Customer Interactions) are a better and more customer-centric way to monitor a customer's experience with your application than traditional time-based availability metrics. At Goodhire, FCIs were reduced from 3.2% to ~0% through a range of initiatives including adopting an autonomous system. Chapters: 00:22: Why Monitor Failed Customer Interactions (FCIs)? 00:59: Defining Engineering & Operational Excellence 03:02: The Problems of Traditional Availability 04:21: Availability Doesn't Work for Distribute ..read more

Engineering & cloud infrastructure 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. The participants are all looking to innovate faster and invest more in applications that drive customer outcomes and are using autonomous to help achieve those goals focusing on well defined use cases that free up their teams for higher value work. Panel participants: Rachit Lohani, CTO & SVP Engineering and Product, Paylocity Suresh Sangiah, SVP Engineering, Palo ..read more

In this session AWS container hero Dijeesh Padinharethil covers autoscaling in Kubernetes, cluster autoscaling, scaling tools and event-driven autoscaling. Key moments: 00:53: Why Kubernetes? 03:13:Autoscaling in Kubernetes 05:11: Cluster Autoscaling 06:49: Cluster Autoscaler 08:25: Challenges with Cluster Autoscaler 10:47: Karpenter Autoscaler 14:05: Karpenter Challenges 14:53: Event Driven Autoscaling in Kubernetes 16:02: What SREs are looking for 18:05: Relationship to Fargate? 19:58: Keda as an autoscaler? 21:20: Recommendations outside Keda and Karpenter To learn more about Sedai visit ht ..read more

Existing Datadog users can now add autonomous management capabilities, improving the performance, cost and availability of their applications while avoiding the time & cost of traditional automation. In this session from autocon/22, Alex Sweetser of Sedai and Monica Cortazar of Datadog walk through the limitations of current approaches, describe top use cases for autonomous with Datadog, and show how to get setup and use Sedai with Datadog using the integration available in the Datadog marketplace. Key moments: 01:32: Manual Remediation with Datadog 02:15: Automated Remediation with Datado ..read more