Multi-Cluster databases on Kubernetes: Architecture and deployment
Introduction Running a database on Kubernetes is well understood. Running one that survives a complete regional failure, a corrupted control plane, or a severed network requires a fault-resistant architecture. This post walks through how to build…
Impact Since completing the migration, Michelin has experienced no CNI-related failures or incidents across its fleet. For a platform team that previously spent significant time firefighting networking problems that they couldn’t even observe clearly, this has…
KeycloakCon Japan 2026: Navigating cloud native identity and the AI frontier
The countdown is officially on. In just a few weeks, the cloud-native ecosystem meets in Yokohama for KubeCon + CloudNativeCon Japan 2026. Taking place on Tuesday, July 28 from 09:00 – 12:30, KeycloakCon Japan brings together…
Telemetry that matters: Designing sustainable, high-impact observability pipelines
As system architectures grow increasingly complex, the cloud-native community faces a subtle but pressing challenge: we are drowning in our own telemetry data. It is easier than ever to instrument an application and collect signals, but…
Introduction Flipkart, one of India’s leading digital commerce companies, operates hundreds of interconnected services across Kubernetes and virtual machine environments. During marquee events such as Big Billion Days, Independence Day Sale, and Diwali Sale, even minor…
In March, I gave a talk at KubeCon + CloudNativeCon Europe 2026 in Amsterdam. After the session, the same questions kept coming up on the CNCF Slack and in person: why build agentic AI on cloud…
Modern software delivery is no longer constrained by application code — it is constrained by the platform that runs it. This article presents the design of a cloud-native Internal Developer Platform (IDP) built on Kubernetes and…
The tools are ready. So why are most cloud native teams still running three observability stacks?
I’ve spent enough time in and around cloud native infrastructure to know that we’re reasonably good at standardizing the theory. OpenTelemetry for instrumentation, Prometheus for metrics, Jaeger and Tempo for distributed tracing, Fluentd or Loki for…
From public static void main to Golden Kubestronaut: The Art of unlearning
Ten years ago, my entire world fit inside a public static void main. I was a Java developer. Infrastructure? That was someone else’s problem a black box where my JAR files went to live, or quietly…
Peer-to-Peer acceleration for AI model distribution with Dragonfly
The problem: AI model distribution is broken at scale Large-scale AI model distribution presents challenges in performance, efficiency, and cost. Consider a typical scenario: an ML platform team manages a Kubernetes cluster with 200 GPU nodes….