Platform engineering barely had time to settle on Internal Developer Platforms (IDPs) before Agentic Development Platforms (ADPs) started showing up in conference decks and...
Read More →Some of the most sophisticated Kubernetes teams in the world use Managed Kubernetes-as-a-Service (KaaS). They know Kubernetes well and understand where their time and...
Read More →Kubernetes isn't brand new anymore. Yet, for many teams, adopting it still feels intimidating. Even if you’ve watched Kubernetes become the default foundation for production...
Read More →Most organizations hire DevOps and SRE teams to shape how software runs on Kubernetes. The impact of that work shows up across platform, architecture, and product leadership,...
Read More →Self-hosted deployment on Kubernetes sounds manageable when it lives in a launch plan. Then the real installs start, and it turns into a different job entirely.
Read More →Back in January, we published a post about the retirement of ingress-nginx and laid out what that means for teams still running it. We also gave a CNCF CloudNative Live talk...
Read More →Most teams start with API-based AI because it’s fast, simple, and easy to ship. You plug an API into your product, pay per request, and don’t need to think about...
Read More →If your Kubernetes bill seems to be climbing faster than your traffic, you aren’t alone. Kubernetes itself isn’t the problem. Many teams overpay because default or estimated...
Read More →Teams run their own LLM inference for a range of reasons: data privacy, cost control at volume, latency, the ability to fine-tune, or just the need to operate independently...
Read More →Most AI teams don’t start with Kubernetes, even though that’s where their AI infrastructure usually ends up.
Read More →Many teams want to run AI and ML workloads on Kubernetes but are worried about wasting GPUs, overcomplicating the platform, or breaking reliability for the rest of their...
Read More →Running Kubernetes in production means you spend a lot of time troubleshooting, regardless of whether you are running web apps, data pipelines, or AI/ML and GenAI workloads....
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Fairwinds is a Kubernetes managed service provider, Kubernetes Certified Service Provider, and an AWS Advanced Tier Services Partner with the AWS EKS Service Delivery and Managed Service Provider designations. Our SRE teams manage and operate production Kubernetes environments for organizations across a range of industries.
