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#054 - From Shiny Objects to FinOps: Taming Cloud Costs in the AI Era with Josh Schlanger (CloudX...
In this episode of the Kubernetes for Humans podcast, we are joined by infrastructure and FinOps expert Josh Schlanger. Drawing on over 15 years of experience across Martech, e-commerce, and health tech, Josh shares why solving core business problems should always take priority over chasing new, "shiny object" technologies.
What Are Containers? (And Why "It Works on My Machine" Finally Dies)
What are containers in DevOps—and why do they solve the classic “it works on my machine” problem? In this episode of Cloud Security in a Minute, Sysdig breaks down containers in simple terms: what they are, how they work, and why they’ve become the backbone of modern cloud applications. You’ll learn: Containers package everything an application needs—code, dependencies, and system tools—so it runs consistently anywhere: your laptop, the cloud, or at massive scale.
Groq vs. GPUs: The future of AI inference in 2026
Back in 2016, Jonathan Ross founded Groq, the AI chip startup, which went on to enter a non-exclusive licensing agreement with NVIDIA for Groq’s inference technology (as part of a $20 billion deal). The name ‘Groq’ is commonly confused with X (formerly Twitter)’s Grok, which was launched in 2023 as a Gen AI chatbot. As demand for real-time AI continues to grow, inference has become one of the most important and expensive parts of the machine learning lifecycle.
Is your AI DPDP compliant?
"In the Indian context, you need to protect your data integrity right now." Techdome CEO Rahul Joshi highlights the urgent shift toward Sovereign AI for Indian enterprises. With the DPDP Act now in effect, the traditional "API-first" model poses a significant risk to data privacy and compliance.
NVIDIA DGX vs. NVIDIA HGX: What is the difference?
While GPUs remain among NVIDIA's flagship products, they also offer a range of other compute products beyond the dedicated graphics cards for which they are known. If you are unfamiliar with the words DGX or HGX, this blog is for you. Throughout this blog, we will cover what these terms mean in practice and when you should be using them.
Kubernetes multi-cluster: the Day-2 enterprise strategy
A multi-cluster Kubernetes architecture distributes application workloads across geographically separated clusters rather than a single environment. This strategy strictly isolates failure domains, ensures regional data compliance, and guarantees global high availability, but demands centralized Day-2 control to prevent exponential cloud costs and operational sprawl.
Multi-Agent AI SRE Has Landed and Its Built for Your Most Complex Stacks
Once upon a time, a monolith running on a handful of servers meant that incident management, even at 2:17 AM, was something a single generalist could handle. One person with enough context across the stack could reasonably diagnose whether the database was choking, a config had changed, or a server was running hot. They’d fix it and go back to sleep.
Introducing hosted control planes on Konstruct
For seven years, I've watched the same pattern. An organization decides it needs a platform and assigns two of its best engineers. They estimate it will take three months, but eighteen months later, they're still integrating ArgoCD with their secrets manager, still debugging Crossplane providers, and still arguing about how to structure the GitOps repo. What’s happened is they’ve built something that works for one team and can't be repeated for a second.