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 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.

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.

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.

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.

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.

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.

Platform owners are Kubernetes experts, responsible for delivering reliable, efficient and cost-effective platforms. Developers, meanwhile, focus on building and shipping applications — not fine-tuning CPU/memory requests or autoscaling configs. For many dev teams, resource optimization isn’t familiar territory, and managing it can slow down feature delivery. Watch now as Andrew Hillier, co-founder and CTO of Densify, and TNS Host Chris Pirillo share practical steps platform teams can take to solve the resource management challenge. Learn how to gain visibility into risks and inefficiencies, set optimal resource specs, automate scaling and foster better collaboration with application teams.

For all the excitement surrounding it, AI-code generation has yielded — at most — limited and patchy gains in engineering productivity. The problem isn’t the code generation, it’s that writing code is only a small part of software engineering. Fortunately, there are things you can do to overcome the roadblocks and achieve the efficiency and output AI has promised. We welcomed Will Wilson and Akshay Shah, distributed systems engineers and software quality nerds at Antithesis, to dive into these issues. They discuss why AI isn’t boosting engineering productivity, the bottlenecks engineering organizations face, and how to make the gains you’re looking for. 

Cloud costs can be a contentious subject for finance and engineering teams. Finance wants to control spending, while engineering is doing everything they can to deliver performant software under constrained resources. The result? Resentment, anger, and no resolution to the actual problem of controlling cloud spending or giving devs the resources they need. In this webinar, two FinOps specialists, Patrick Brogan and Ben Linares — one with a finance focus, the other with a technical background — from Harness joined our host, Chris Pirillo. Together, they break down common challenges and share what it takes to align priorities and drive collaboration across teams. We explore where teams get stuck, what’s working today, and how automation can help manage cloud spending effectively.