autocon/22

Sedai
  • 5.0 (3)
  • TECHNOLOGY
  • SERIES

Catch all the technical and leadership sessions from this year's autocon, the autonomous cloud conference for SREs, DevOps & Engineering teams looking to drive performance, cost and availability gains with autonomous cloud platforms.

  1. EPISODE 1 · VIDEO

    What is an a8s (autonomous) system? - Suresh Mathew

    In this kickoff to the leadership track of autocon/22, the autonomous cloud conference, Sedai CEO Suresh Mathew explains the difference between an autonomous and automated system, why autonomous systems are safer, why the industry should "shift up", and the four ages of IT operational management approaches leading to the "a8s-ops" (autonomous operations) age we are moving into. 0:00: What Tesla figured out: how to separate tasks for machines vs people 0:25: Separating Machine vs Human Jobs 0:48: Autonomous vs Automated Systems (read more at https://bit.ly/3RimrOS) 2:42: It's Time to Shift Up (read more at https://bit.ly/3ATcAcW) 3:36. Sedai autocon/22 Announcements 5:19: Conference Welcome To learn more about Sedai visit https://bit.ly/3e3Cqlv #autonomouscloud #lambda #kubernetes #sre #devops #aws #serverless #a8s4k8s #sedai #autocon22

    6 min

  2. EPISODE 2 · VIDEO

    Keynote on AI/ML & Autonomous Cloud with AI/ML SaaS Solution for Fraud Detection - Manu Thapar, Mastercard CTO

    Manu Thapar, CTO of Mastercard, explains Mastercard's ML-based fraud detection system and gives his POV on going 100% autonomous. Mastercard built a massive ML based system to detect and reduce fraud, running on AWS, using Kubernetes and serverless with EKS and Lambda. Manu explains the problem, Mastercard's solution and how it was deployed. Manu then gives his POV on Mastercard's goals for 100% autonomous operations and why autonomous systems are needed to meet the SLAs that global companies like Mastercard operate with. 00:16: Massive scale of credit card transactions 01:13: Mastercard's solution 03:36:Rules-based vs ML based approaches 05:58: Deployment on AWS with k8s and serverless 09:11: Achieving performance & scalability with AWS 10:30: Ensuring availability & resilience with well-architected design 11:24: Assuring security & compliance - PCI, GDPR 12:20: Closed loop analytics and reporting 13:09: Customer impact on approval rates and fraud rates 14:11: Principles for operating systems at scale 15:47: Manu's POV on autonomous 17:28: What % of systems can be autonomous Learn more about Sedai at https://bit.ly/3e3Cqlv #manuthapar #mastercard #antifraud #aiml #autonomouscloud #eks #kubernetes #aws #sedai #autocon22

    19 min

  3. EPISODE 3 · VIDEO

    Why Autonomous Cloud Management is the Future: Panel Discussion with Paylocity, Palo Alto Networks, fabric and Norwest Venture Partners

    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 Alto Networks Prakash Muppirala, EVP Platform, fabric Matt Howard, General Partner, Norwest Venture Partners (moderator) Key moments: 00:38: Tech professionals are increasingly oversubscribed 01:23: Delivering on promises to customers 02:20: AI/ML has become practical 03:33: The era of Collaborative Autonomy 04:03: Palo Alto Network's approach to Autonomous 05:23: Palo Alto Network's use cases for Autonomous 06:13: How did Palo Alto Networks sell Autonomy internally? 07:45: Paylocity's view on Autonomy vs their next generation service concept 09:34: Importance of automation to create time for innovation and avoid low value toil 09:59: Paylocity on Autonomy vs Automation (read more at https://bit.ly/3RimrOS) 10:57: How Paylocity built trust with Autonomy 12:33: Impact of Autonomous systems on productivity at Paylocity 12:59: fabric's life before & after Autonomous 15:37: Palo Alto's results from Autonomous & bottlenecks 18:42: Did autonomy make people at Palo Alto feel threatened? 20:28: Autonomous use cases at Paylocity 22:37: How Paylocity uses KPIs to monitor performance 24:38: How fabric avoided harm when rolling out autonomous with a hybrid model 27:14: Palo Alto Network's view on capabilities to maintain internally 28:13: Palo Alto Network's Roadmap for Autonomy 29:15: The ROI of Autonomy at Paylocity 30:26: Important Tasks for Humans Change Over Time 31:44: fabric's advice for others adopting autonomous To learn more about Sedai's autonomous cloud management platform visit https://bit.ly/3e3Cqlv #autonomouscloud #lambda #kubernetes #eks #ecs #sre #devops #aws #serverless #a8s4k8s #sedai #autocon22

    34 min

  4. EPISODE 4 · VIDEO

    Achieving Performance Gains in Latency Sensitive Industries - Prakash Muppirala, EVP Platform, fabric

    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: cost vs latency, matching supply to demand and availability 12:05: Evaluating solutions from manual through autonomous 13:38: Autonomous was faster, better, cheaper than manual or semi-automated solutions 14:16: fabric's journey to autonomous 15:48: QoQ growth in autonomous and improvements in latency, cost 16:42: Scaling up & down autonomously 17:50: Preventing availability issues 18:57: Creating a feedback loop with developers 19:37: Improving SRE productivity with a hybrid model (people and systems) 20:25: Step-by-step phases to be 100% autonomous 21:05: fabric's experience with autonomous 22:17: Q&A: What was the hard ROI? 24:09: Q&A: What is the role of the SRE with autonomous systems? To learn more about Sedai visit https://bit.ly/3e3Cqlv #autonomouscloud #lambda #kubernetes #eks #ecs #sre #devops #aws #serverless #a8s4k8s #sedai #autocon22

    26 min

  5. EPISODE 5 · VIDEO

    Optimizing Cloud Costs & Performance with Autonomous Cloud; Panel Discussion with PayPal, TopCoder/eBay, Ironclad and Sedai

    Four engineering leaders with backgrounds at Paypal, Topcoder, eBay, Ironclad and Sedai discuss how to optimize cloud costs and performance with Autonomous Cloud, including how Autonomous complements Kubernetes by taking care of choosing configuration, and enables teams to focus on applications not infrastructure. Panelists: Sumesh Vadassery, Senior Director Engineering, PayPal Kumar Rethi,CTO, TopCoder (ex-eBay) John Fielder, CISO and Head of Platform Engineering, Ironclad Benjamin Thomas, Co-Founder & President, Sedai John Jamie, VP Marketing, Sedai (Moderator) Key moments: 01:20: Evolution of Cloud Cost Management 03:35: How PayPal saved 60% of compute costs by resizing the site using AI/ML 05:51: PayPal can now focus on apps not infrastructure 07:03: PayPal manages in a multi-cloud, multi business unit environment 10:05: Why eBay needed to move from automation to autonomous 14:44: Autonomous Complements Kubernetes 16:35: How Salesforce used AI and autonomous to manage complex cloud platforms 22:22: Ironclad's advice for implementing an autonomous platform on production clouds 22:43: Autonomous helps with growing security workload 24:14: Security, Platform, Data Eng are value centers not cost centers 26:48: What is the need for autonomous when you have Kubernetes? 28:23: Static rules become outdated rapidly 29:44: Autonomous manages configuration when app behavior changes 30:48: Who manages config for declarative platforms? 31:32: Drivers for ROI for autonomous vs automated systems 33:29: Autonomous can provide 50% gains in cost & performance over automated approaches To learn more about Sedai visit https://bit.ly/3e3Cqlv #autonomouscloud #kubernetes #cloudcost #finops #eks #ecs #sre #devops #aws #sedai #autocon22, #sumeshvadassery, #paypal, #kumarrethi, #topcoder, #johnfielder, #ironclad, #benjaminthomas

    35 min

  6. EPISODE 6 · VIDEO

    Serverless or Kubernetes: Is there a Right Path? Panel Discussion with Paylocity, AWS, Tasq and Uncorrelated Ventures

    Modern architecture alternatives and their pros and cons are debated in this panel discussion from autocon/22. While the right choice is organization-specific driven by application needs and organizational capabilities, the case is made that serverless is underutilized at many companies given its operational advantages. Panel members: Rachit Lohani, CTO & SVP (Engineering and Product), Paylocity Siddharth Ram, Ex-CTO, Inflection & VP/Engineering Fellow, Intuit Shridhar Pandey, Senior Product Manager, Lambda, AWS Kenneth Nguyen, Co-Founder, Tasq Salil Deshpande, General Partner, Uncorrelated Ventures (moderator) Key moments: 00:00: Context for the choice between serverless and Kubernetes 02:23: Why not run stateless and just use serverless and autonomous? 05:52: Why Inflection moved from Kubernetes to serverless 08:13: What about vendor lockin with serverless? 08:57: Paylocity Heavily Uses Serverless 10:25: The 5 Steps to Get to Autonomous 11:02: Getting to Autonomous in Stateless vs Stateful 12:40: Why Paylocity Converted Almost Completely to Serverless 14:03:Kubernetes Helps with High Throughput, Cold Starts, Latency Sensitivity 14:35: Rachit's POV on Managing Kubernetes 15:47: Refactoring Kubernetes to Serverless can be costly 16:44: Paylocity's default approach is serverless; exceptions need a rationale 17:33: Seek fewer variations & avoid abstraction complexity 19:14: Lambda team aims to support different schools of thought 19:30: Long running apps that wait for calls are not best fit for Lambda 21:29: Why Intuit uses Kubernetes and Lambda 22:54: Siddharth does see use cases for Kubernetes 23:11: Tasq used serverless to iterate quickly 24:24: Tasq now looking at distributed compute for processing (ECS, EKS, Fargate) 26:15: Tasq's experience with serverless 28:30: Solving for customer experience and minimizing ops work 30:55: The Panel Compares Kubernetes, Serverless Containers and Serverless Functions 32:20: Trading off more cloud spend for lower ops burden 33:25: Kubernetes can make sense as scale grows 34:14: Open multiple paths for dev choice 35:11: Portability with serverless is getting easier 35:55: Summary: Use high productivity approaches (e.g, serverless) as default, systems language (k8s) when needed To learn more about Sedai visit https://bit.ly/3e3Cqlv #autonomouscloud #lambda #kubernetes #eks #ecs #sre #devops #aws #serverless #a8s4k8s #sedai #autocon22, #rachitlohani, #paylocity, #siddharthram, #inflection, #shridharpandey, #kennethnguyen, #tasq, #salildeshpande, #uncorrelatedventures

    37 min

  7. EPISODE 7 · VIDEO

    FCIs Are the New Availability - Siddharth Ram Ex-CTO, Inflection/Goodhire, Intuit

    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 Distributed Modern Systems 05:49: Problems of Time Based Metrics 06:48: Customer Centric Metrics 07:19: What is an FCI? 09:30: It's easy to measure FCIs in your observability platform 10:36: FCI Case Study: GoodHire 11:54: How to Implement FCIs? 14:16: How GoodHire Used Sedai 16:38: Q&A: At what level should you measure FCIs? 18:11: Q&A: How did you reinvest productivity gains? To learn more about Sedai visit https://bit.ly/3e3Cqlv #fcis #failedcustomerinteractions #availability #siddharthram #autonomouscloud #aws #serverless #sedai #autocon22

    20 min

  8. EPISODE 8 · VIDEO

    The Business Case for Autonomous Cloud Management: Panel Discussion with RIngCentral, Norwest Venture Partmers, Sedai and Cato

    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: RingCentral's need to innovate drives Autonomous adoption 05:56: Autonomous is helping RingCentral improve productivity, cost and reliability 07:30: RingCentral's team saw opportunity to reduce toil 08:06: How Autonomous impacts RingCentral Dev & SRE productivity 09:22: Why Norwest has made multiple investments in autonomous 11:51: Great technologies elevate people's careers 15:04: The Enterprise Business Case for Autonomous 17:52: fabric has 180,000 autonomous operations a year 18:51: Belcorp saw 75% reduction in latency 20:39: Autonomous improved fabric performance 21:22: Humans can pass boring tasks to autonomous systems 22:30: How does Sedai avoid errors? 23:34: Microservice complexity is beyond human scale 24:37: Augment people & help them scale 25:38: RingCentral's POV on Performance 29:40: Slow is the new down 31:09: Progress from automation to autonomous 32:17: Time to value is fast vs general purpose technologies 35:38: RingCentral's POV on the full value of autonomous 36:26: Do No Harm & Practical Autonomy 37:25: Autonomous started in 2003, but adoption was slow 38:40: Wrapup on the value of autonomy To learn more about Sedai visit https://bit.ly/3e3Cqlv #autonomouscloud #lambda #kubernetes #eks #ecs #sre #devops #aws #serverless #a8s4k8s #sedai #autocon22, #kiramakagon, #ringcentral, #matthoward, #norwestventurepartners, #nvp, #deannelson, #cato

    40 min
See All Season 1 (18)

Ratings & Reviews

5
out of 5
3 Ratings

About

Catch all the technical and leadership sessions from this year's autocon, the autonomous cloud conference for SREs, DevOps & Engineering teams looking to drive performance, cost and availability gains with autonomous cloud platforms.

Information

  • Channel
    Sedai
  • Creator
    Sedai
  • Episodes
    18
  • Seasons
    1
  • Rating
    Clean
  • Copyright
    © 2022
  • Show Website
    autocon/22
  • Provider
    Sedai Inc

More From Sedai