Webinars

FEATURED WEBINAR

Scaling Real-Time AI & ML Workloads for Performance and Efficiency

March 18, 2026

10am PT | 1pm ET

Scaling Real-Time AI & ML Workloads for Performance and Efficiency

March 18, 2026

10am PT | 1pm ET

As real-time inference and advanced ML workloads become revenue-critical, platform teams must deliver massive amounts of contextual data with strict latency and zero downtime. But most real-time stacks weren’t built for this — resulting in latency spikes, scaling pain, and rising costs. In this webinar, DragonflyDB co-founder and CEO Oded Poncz explains why real-time context is now the core data primitive for intelligent systems. We’ll cover where traditional infrastructure falls short, what modern AI/ML workloads demand, and how purpose-built systems enable predictable, efficient scale. You’ll leave with a clear blueprint for building a real-time data layer ready for modern AI applications.

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UPCOMING WEBINARS

Scaling Real-Time AI & ML Workloads for Performance and Efficiency

March 18, 2026 10am PT | 1pm ET

AI-Powered Kubernetes Observability Best Practices in 2026

March 19, 2026 11am PT | 2pm ET

Is your Kubernetes observability strategy keeping up with the growing complexity of AI workloads? As K8s environments become more dynamic and AI-driven, ensuring performance, reliability, and security is more challenging than ever. To succeed, organizations need end-to-end Kubernetes observability powered by AI-driven insights. With the right visibility and best practices, teams can optimize performance, strengthen security, and drive better business outcomes. In this webinar, join TNS host Chris Pirillo with Dynatrace experts Paul Brugan and Jacob Hanley to learn practical, AI-powered strategies that will help you operate Kubernetes with greater confidence and efficiency in 2026.

Building Production-Ready Agentic AI — Why a Control Plane Matters

March 24, 2026 11am PT | 2pm ET

Agentic AI promises autonomy, but most organizations remain stuck in pilot mode. Generative models alone can’t deliver the reliability production demands—agents can hallucinate, misread context, and amplify small errors across complex workflows. Without a unifying control plane, scaling agentic AI leads to unpredictable outcomes. Join TNS host Chris Pirillo and Dynatrace’s Greg Findlen and Wayne Segar to learn what it takes to run agentic AI in production. Discover how end-to-end observability, deterministic real-time context, and a centralized control plane enable reliable autonomy—while balancing human oversight, feedback loops, and automation at scale.

Scaling Kubernetes with Systemic Certainty, Not Operational Heroics

April 9, 2026 9AM PT | 12PM ET

Is your platform team spending more time firefighting than building? For organizations running Kubernetes at scale, infrastructure drift, manual patching, and unreliable upgrades have become the normalized cost of doing business. Engineers are pulled into reactive toil, SSH-ing into nodes and untangling snowflake clusters while the roadmap sits untouched. At five nodes, one skilled engineer can hold it together. At one hundred, that same approach becomes your biggest bottleneck. Drift isn’t just an operational headache; it’s a compliance risk and an expanded attack surface. Join TNS host Chris Pirillo with Sidero Labs’ Jeff Behl and Kevin Tijssen to learn how to stop managing deviance and start eliminating it.

RECENT WEBINARS

Building A Self-Service Developer Platform The Thoughtful Way

March 12, 2026 10:30am PT | 1:30pm ET

As more organizations repatriate, modernize, and build new workloads on-premises, the demand for a “public cloud-like” experience inside the data center has never been higher. Many organizations are building Kubernetes-based internal development platforms to answer this call. The key to success is choosing the underlying building blocks and infrastructure that is integrated with essential open source tools that simplify deployment across your environment. In this technical session hosted by Charles Humble, Broadcom’s Jad El-Zein showed how you can automate full-stack deployments of Kubernetes infrastructure – including networking, and storage policies – with a simple git commit.

How To Architect a CI/CD Pipeline That Really Scales

February 3, 2026 Now Available On-Demand

DevOps and platform engineering teams often believe they’ve solved scalability with “push-button” onboarding. However, tools that clone templates, such as internal developer portals, merely automate the creation of technical debt. The moment a pipeline is copied, it drifts. Six months later, making an update across 100 services means managing 100 separate pull requests — or convincing 100 teams to make a change. In this session, our host Chris Pirillo welcomed Harness’ Eric Minick and Choice Hotels’ Stephen Cihak for a spirited discussion on why copying CI/CD templates creates technical debt and leads to operational paralysis (the “scaffolding trap”). Watch now and you’ll also learn why the future of DevOps scaling isn’t about copying YAML; it’s about inheriting it.

5 Managed File Transfer Trends Shaping Secure Data Exchange in 2026

January 29, 2026 Now Available On-Demand

As enterprises exchange more sensitive data than ever, the need for secure, compliant, and intelligent file transfer solutions is accelerating. Join our guests from Fortra for an in-depth look at the top five managed file transfer trends transforming how organizations move data in 2026 and beyond. Our host, Chris Pirillo, guides them through a lively conversation about how modern MFT solutions are built for your enterprise and ready for secure file transfers, with capabilities that go far beyond point-to-point exchanges. We explore AI-powered automation, predictive workflows, advanced reporting for improved decision-making, unified security and compliance management, and API integration and interoperability for seamless enterprise connectivity. Discover how embracing these trends can help your organization reduce risk, improve efficiency, and stay ahead in a rapidly evolving digital landscape.

Avoiding the Argo Ceiling: Scaling GitOps Without Maxing Out

January 20, 2026 Now Available On-Demand

Every GitOps journey starts with a honeymoon phase: one cluster, one Argo instance, one happy team. But success creates sprawl. One cluster becomes 50, and the isolation that made Argo secure turns into a management nightmare. We call this “The Argo Ceiling,” the breaking point where visibility dies and governance becomes a guessing game. In this webinar, our guests from Harness and TNS Host Chris Pirillo uncover the data from enterprise teams who hit that ceiling. They explain why “Tab Fatigue” and “Glue Code” are the first symptoms of a broken process and reveal the real engineering hours lost to maintaining custom dashboards and brittle orchestration scripts. Dive into how to implement a GitOps control plane to unify your estate without ripping and replacing the tools your developers love.

Cloud Cost Optimization Isn’t Broken. The Approach Is.

January 15, 2026 Now Available On-Demand

Cloud spend rarely explodes overnight — it accumulates. Most orgs attempt to solve this problem at the wrong stage, relying on reactive cost controls, manual audits or finance-led governance that arrives long after architectural decisions are locked in. Shifting left reframes cloud value as an engineering responsibility, not a financial afterthought. That means embedding optimization, security and governance directly into design, CI/CD and deployment workflows. In this webinar, experts from Harness explain how a shift-left strategy enables proactive optimization, and show how Kubernetes environments can be continuously aligned with intent without slowing devs down. See how architecture becomes enforceable policy, how zero-drift environments eliminate configuration entropy, and how to turn best practices into defaults rather than documentation.

How Highly Regulated Industries Operate Successfully at the Edge

December 9, 2025 Now Available On-Demand

In distributed environments where every second counts, cloud native and edge technologies deliver faster, smarter, and safer experiences. But for regulated companies, strict compliance requirements create significant concerns, including around data sovereignty, security and access control, data validation and integrity, and disaster recovery, when operating at the edge. In this webinar, Matt Grubis, Executive Chief Engineer at GE HealthCare Patient Monitoring Solutions, Justin Barksdale, Distinguished Solution Architect at Spectro Cloud, and TNS Host Chris Pirillo explored how GE is using cloud native and edge technologies to deliver better patient care experiences for 1 billion patients — all while meeting the rigorous compliance demands of regulated environments. They discuss how GE’s approach to software infrastructure enables agility, consistency, and compliance across thousands of connected medical environments.

Scaling Edge Platforms to Thousands of Global Locations

December 2, 2025 Now Available On-Demand

Delivering digital experiences consistently across thousands of locations is key to customer satisfaction and operational excellence. And achieving that level of service demands a new kind of architecture: modular, portable, and built edge-to-cloud. Global retailer YUM! Brands has solved the challenge by deploying next-gen edge platforms to support AI/ML workloads, boost uptime, and drive agility across its more than 40,000 locations thanks to Spectro Cloud solutions. From AWS re:Invent, Ryan Good of YUM! Brands and Justin Swagler of AWS joined our founder, Alex Williams, to dig into how to enable centralized management and scalable, production-grade infrastructure to bring innovation closer to customers — whether you’re in retail, industrial, manufacturing, or any type of business that operates in remote locations.

Kafka at Scale: Smarter Architectures for Real-Time Business Impact

November 20, 2025 Now Available On-Demand

Apache Kafka is the backbone of modern digital-native businesses — powering event-driven applications, real-time personalization, and resilient data pipelines. But running Kafka at scale often brings cost, complexity, and operational headaches. In this webinar, we welcomed Greg Harris and David Esposito of Aiven to explore how leading companies are using Kafka to deliver real business impact today. They also share an exclusive sneak peek at Inkless Kafka, a breakthrough that removes local disks to make Kafka up to 80% leaner, significantly reducing total cost of ownership while simplifying operations and unlocking new ways to scale in the cloud.

From Friction to Flow: Shifting How Developers Leverage Observability

November 6, 2025 Now Available On-Demand

Developers are expected to deliver secure, resilient, and high-performing applications faster than ever. But fragmented toolchains, complex cloud environments, and siloed workflows often slow them down. The result? More time chasing issues and less time innovating. In this webinar, Sean O’Dell and Jeff Blankenburg of Dynatrace joined TNS Host Chris Pirillo to explore how AI-powered observability transforms the developer experience from friction-filled to flow-driven. Whether you’re building cloud native apps, managing microservices, or modernizing legacy systems, you’ll walk away with practical insights and new perspectives to simplify workflows, accelerate innovation, and unlock developer productivity.

Achieving Relevant AI with Vector Search

November 4, 2025 Now Available On-Demand

The shift from traditional lexical search to semantic search, GenAI and agent-based approaches is reshaping industry practices. But despite the clear advances AI has brought to search, organizations and users still struggle with trust and accuracy problems. Dave Moore, Principal Solutions Architect at Elastic, and TNS Host Chris Pirillo explored the evolving landscape of search in the age of AI. They discussed the critical role of vector databases in enabling trustworthy, intent-driven retrieval and powering reliable AI agents. You’ll learn how advanced vector capabilities provide a unified, scalable foundation for search and AI workflows, supporting accuracy, adaptability, and seamless integration with modern AI frameworks.

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