On-Demand Webinars
Welcome to env-devopsy-dev2.kinsta.cloud Webinars On-Demand! The On-Demand Library hosts recordings of all live webinars and are always available for viewing at your convenience.Registration is free. Enjoy!
Closing the Loop on AI Coders: 3,200 Vulns Fixed with Zero Human Triage
Every category that's shifted work into the developer's live coding session — testing, linting, even infrastructure cost-checks — has already had its "moved into the IDE" moment. Application security hasn't, and not for lack of trying. The two established ways to test for vulnerabilities were both wrong for that inner ... Read More
October 1, 2026
StackHawk
Same Curve, Twice the Speed: Why AI Cost Management Isn’t Cloud FinOps 2.0
Attendees should join this session because AI spend is becoming one of the largest, least understood line items in the cloud bill, and most teams don't yet have a way to explain where it's going, let alone forecast it. The problem this webinar solves is the gap between traditional cost ... Read More
October 1, 2026
Harness
Why Your Observability Vendor Can’t Solve Your P1s: Breaking the Ingestion Tax and Agent Silos
Production incidents span code, metrics, cloud configs, and live clusters yet traditional vendors force you to copy all that telemetry into their store, charging a massive ingestion tax for an agent that remains blind outside its own silo. Join Techstrong and NeuBird AI to learn why the future of production-ops ... Read More
September 23, 2026
NeuBird
Building the AI Factory: CI/CD, GitOps, and Delivery for GenAI
The webinar is part of a sponsored whitepaper package with Futurum on GitOps. The core thesis of the paper is that GenAI operationalization is fundamentally a distributed systems and platform engineering challenge, rather than just a data science problem. The paper addresses the "Shadow AI" crisis. DevOps leaders are actively ... Read More
September 23, 2026
Red Hat
AI Observability Best Practices for Production-Ready AI
Join Dynatrace for a practical discussion on what AI observability looks like in production and the practices teams can use to make it work. We’ll cover how engineering and operations teams can connect AI behavior to application performance, improve visibility across AI workflows, and reduce risk as adoption scales ... Read More
September 22, 2026
Dynatrace
Autonomous Operations Starts with Resilience
In this session, we'll explore how organizations are evolving from reactive operations to autonomous operational resilience: systems that continuously observe application health, understand dependencies, anticipate operational risk, and take intelligent action before users and the business feel the impact ... Read More
September 22, 2026
InfoScale
See Every Database Change Across Your Enterprise
Join Liquibase for an exclusive preview of Change Intelligence and Liquibase Secure 6.0. See how Change Intelligence brings deployments, schema drift, policy outcomes, operational history, and audit evidence into a single view, helping teams understand what changed, where it happened, what failed, and what needs attention ... Read More
September 16, 2026
Liquibase
The AppSec Overload Problem And Why Context Is the Cure
Join Alan Shimel, CEO of TechStrong, and Emma Datny, Sr. Product Marketing Manager from Checkmarx to explore how contextual risk scoring and ASPM are changing the way teams approach AppSec, and why the ones pulling ahead aren't finding more vulnerabilities, they're fixing the right ones faster ... Read More
September 15, 2026
Checkmarx
How SoFi Cut Recovery to Minutes Across Five AWS Regions and Made Backup Pay for Itself
Join us for this live session featuring Shannon Bradley, Manager of DevOps Engineering at SoFi, who will cover the resilience patterns that keep it working across regions. Shannon walks through the architecture decisions, the move off native snapshots, and the operational habits that turned recovery into something SoFi counts on ... Read More
September 10, 2026
Eon
Give Your AI Investigator a Complete Case File
This session reframes the classic cost-versus-fidelity trade-off for the agentic era. When an AI investigator hits a sampled-out span, a rolled-up metric that no longer holds the dimension it needs, or a retention wall just short of the pattern it's chasing, it doesn't error out. It reaches a confident, wrong ... Read More
September 9, 2026
Bronto

