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.
FEATURED WEBINAR
From Silos to Governance: Securing IT/OT Data Movement
June 23, 2026
9AM PT | 12PM ET
From Silos to Governance: Securing IT/OT Data Movement
June 23, 2026
9AM PT | 12PM ET
IT and OT environments were never designed to talk to each other, but as organizations connect operational technology to broader networks and cloud infrastructure, the seams between IT and OT have become some of the most exposed attack surfaces in the enterprise. Manual scripts, point-to-point integrations, and one-off file transfers create security blind spots and compliance exposure that are difficult to audit and remediate at scale. In this session, Fortra’s Jerrod Foster & Michael Barford will walk through the fundamentals of IT/OT integration, where the security and compliance risks actually live, and how a managed file transfer architecture built for complex environments can replace fragile, ungoverned data movement with something organizations can actually control, audit, and maintain at scale.
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UPCOMING WEBINARS
From Silos to Governance: Securing IT/OT Data Movement
Register today
June 23, 2026
9AM PT | 12PM ET
IT and OT environments were never designed to talk to each other, but as organizations connect operational technology to broader networks and cloud infrastructure, the seams between IT and OT have become some of the most exposed attack surfaces in the enterprise. Manual scripts, point-to-point integrations, and one-off file transfers create security blind spots and compliance exposure that are difficult to audit and remediate at scale. In this session, Fortra’s Jerrod Foster & Michael Barford will walk through the fundamentals of IT/OT integration, where the security and compliance risks actually live, and how a managed file transfer architecture built for complex environments can replace fragile, ungoverned data movement with something organizations can actually control, audit, and maintain at scale.
The Kubernetes rightsizing trust gap: Why the stakes just got higher
Register today
June 24, 2026
9AM PT | 12PM ET
Most platform teams had a working theory about Kubernetes rightsizing before AI workloads arrived and raised the cost of deferring: recommendations are useful, humans should review them, and automation can wait until teams are more confident. That position becomes harder to defend when workloads include inference endpoints running at peak load, bursty ML training jobs, and GPU-adjacent containers that cost real money every hour they’re overprovisioned. While 89% of engineering teams consider rightsizing automation mission-critical, 71% still require human review for every change, and only 17% have reached continuous automated optimization. The gap isn’t technical, it’s a trust problem. On June 24, CloudBolt’s Yasmin Rajabi and Reid Vandewiele will walk through the mechanics that let teams move from advisory recommendations to conditional autonomy to continuous optimization for Kubernetes and AI workloads, without the all-or-nothing leap that keeps many teams stuck waiting longer.
Operationalizing AI in Observability: From Debugging to Automated Remediation
Register today
June 30, 2026
9AM PT | 12PM ET
Engineering teams today have more observability data than ever, which means getting to an answer can take too long. Humans are still the bottleneck, manually pivoting between dashboards, logs, and traces, rebuilding context from scratch every time something breaks. High performing teams are shifting from human stitching together signals to AI systems that can understand, investigate, and act across the entire environment. In this session, Vignesh Palaniappan will walk through what operationalizing AI in observability actually looks like in practice, with real use case examples across each stage of the journey, from faster investigation to fully autonomous remediation.
RECENT WEBINARS
Beyond the SRE: Democratizing Observability Data with GenAI
May 12, 2026
NOW AVAILABLE ON DEMAND
Observability data has long been the domain of SREs and IT operations teams, but that’s starting to change. GenAI is making it possible for developers, DevOps engineers, application owners, and business stakeholders to tap into observability data directly, asking questions in plain language and getting real answers without needing to be experts. This shift matters because the questions worth asking aren’t only coming from operations. Developers want to debug production systems without waiting. Business owners want to understand outage impact. Compliance teams need to investigate PII exposure across historical and real-time data—yet too often, those answers take too long to resolve. In this session, Elastic’s Thaddeus Walsh and Brad Quarry show how OpenTelemetry brings observability data together in context, and how GenAI unlocks it for a wider range of roles and use cases.
Your Delivery Pipeline’s Impact on AI Productivity
May 7, 2026
NOW AVAILABLE ON DEMAND
Organizations are rapidly pouring money into AI tools, expecting faster, more reliable software delivery—but gains aren’t showing up where it counts.Developers are moving faster, yet throughput gets absorbed between the code editor and production. With only 1% of companies mature in deployment, AI productivity rarely translates into outcomes. When deployment, testing, security, compliance, and incident management remain manual, AI-generated code amplifies bottlenecks. In this session, Charlotte Fleming and Steve Fenton explored why AI gains stall, how pipelines absorb throughput, which Continuous Delivery capabilities matter most, and how to close the automation gap.
From Vectors to Tensors: Expanding the Possibilities of AI Search
May 5, 2026
NOW AVAILABLE ON DEMAND
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, 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.
Spotify’s Adoption of Agentic-First Development
April 29, 2026
NOW AVAILABLE ON DEMAND
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 sat 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.
Break the Cycle of Spending $250Bn on Manual IT Operations with the IT Knowledge Graph
April 28, 2026
NOW AVAILABLE ON DEMAND
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.
The Next Step for Continuous Delivery: An IDP-Driven Platform
April 23, 2026
NOW AVAILABLE ON DEMAND
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.
Developer-Led Observability: Debugging Distributed and AI Systems with Runtime Telemetry
April 16, 2026
NOW AVAILABLE ON DEMAND
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, 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, a demo, and practical takeaways you can apply immediately.
Scaling Kubernetes with Systemic Certainty, Not Operational Heroics
April 9, 2026
NOW AVAILABLE ON DEMAND
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
March 24, 2026
NOW AVAILABLE ON DEMAND
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
March 19, 2026
NOW AVAILABLE ON DEMAND
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