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. Join TNS host Chris Pirillo along with Dynatrace experts Paul Brugan and Jacob Hanley to learn practical, AI-powered strategies to help you operate Kubernetes with greater confidence and efficiency in 2026.
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FEATURED WEBINAR
The Next Step for Continuous Delivery: An IDP-Driven Platform
The Next Step for Continuous Delivery: An IDP-Driven Platform
Continuous Delivery solved deployment, but as AI accelerates software delivery, pipelines are still hard for developers to access without tribal knowledge and manual handoffs. Internal Developer Portals make delivery self-service by exposing pipelines, environments, and tasks through a single interface—while enforcing policies and guardrails. Join Harness Product Manager Rashmi Hegde to learn how platform teams connect catalog data, environments, and pipelines to reduce friction and keep delivery consistent.
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The Next Step for Continuous Delivery: An IDP-Driven Platform
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Continuous Delivery solved deployment, but as AI accelerates software delivery, pipelines are still hard for developers to access without tribal knowledge and manual handoffs. Internal Developer Portals make delivery self-service by exposing pipelines, environments, and tasks through a single interface—while enforcing policies and guardrails. Join Harness Product Manager Rashmi Hegde to learn how platform teams connect catalog data, environments, and pipelines to reduce friction and keep delivery consistent.
Break the Cycle of Spending $250Bn on Manual IT Operations with the IT Knowledge Graph
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For years, rules-based automation has only solved a fraction of IT operations, leaving teams to handle the complex, context-driven work manually, costing the industry $250 billion annually. Despite heavy investments in observability and headcount, many teams still struggle with reactive incident response, siloed data, and time-consuming escalations. AI is changing that. With an IT Knowledge Graph, organizations can connect data, context, and institutional knowledge to power smarter automation and faster decision-making. Join BigPanda’s CEO Assaf Resnick and VP of Product Marketing, Adam Blau to see how this new approach is delivering 430% ROI, $13.6M in labor savings and a 36% reduction in outages.
Spotify’s Adoption of Agentic-First Development
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AI agents are changing not just how software gets written, but who is responsible for it, how teams are structured, and what it means to own a system when an agent can modify thousands of components at once. Most organizations aren’t ready. The ones that are built rigorous platform foundations. Spotify is one of the few operating at that level. In this online event, TNS host Jennifer Riggins sits down with Spotify’s Stefan Särne and Sanjana Seetharam to explore what agentic-first development looks like at scale, what changed, what broke, and which platform principles made it work.
From Vectors to Tensors: Expanding the Possibilities of AI Search
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Vector embeddings transformed how we build search and retrieval systems, and if you’ve shipped production applications on top of them, you already know what they can do—and may also be starting to discover what they can’t. Vectors are powerful, but they represent a single point in space, while complex search problems involving multiple signals, multimodal data, or nuanced relevance ranking require something more expressive. Tensors extend what’s possible, enabling richer representations, more sophisticated scoring, and retrieval that can reason across dimensions that vector search simply wasn’t built to handle. In this session, Vespa.ai’s Bonnie Chase, Director of Product Marketing, and Zohar Nissare-Houssen, Strategic Presales Lead Engineer, will offer a practical primer on what tensors are, why they matter, and what they make possible in real-world applications, along with concrete use cases across retail, life sciences, and financial services.
RECENT WEBINARS
Developer-Led Observability: Debugging Distributed and AI Systems with Runtime Telemetry
Observability is no longer just an operations concern. Leading teams are moving telemetry upstream, giving developers direct access to logs, traces, and metrics to debug faster and build more reliable systems. In modern distributed and AI-driven environments, the challenge isn’t collecting data—it’s making it actionable in the moments that matter. When developers can explore telemetry in real time, they resolve issues быстрее, reduce escalations, and improve system performance from the start. Join Dynatrace’s Sean O’Dell and David Beran for a session on integrating observability into everyday developer workflows, featuring real-world examples, live demos, and practical takeaways you can apply immediately.
Scaling Kubernetes with Systemic Certainty, Not Operational Heroics
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.
Building Production-Ready Agentic AI — Why a Control Plane Matters
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.
AI-Powered Kubernetes Observability Best Practices in 2026
Scaling Real-Time AI & ML Workloads for Performance and Efficiency
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 explained why real-time context is now the core data primitive for intelligent systems. The discussion covered where traditional infrastructure falls short, what modern AI/ML workloads demand, and how purpose-built systems enable predictable, efficient scale. Discover a clear blueprint for building a real-time data layer ready for modern AI applications.
Building A Self-Service Developer Platform The Thoughtful Way
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
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
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
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.
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.