Cloud Native Days Norway 2026 - Real Real Cases. People.. Cloud Native.

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Kubernetes har blitt en sentral del av moderne applikasjonsdrift, men for mange oppleves det som komplekst, utilgjengelig og fullt av begreper som er vanskelige å sette i sammenheng. Dette kurset er laget for å senke terskelen og gi en trygg inngang til Kubernetes.

Speakers

Er du klar for å gi slipp på kontrollen og la AI-agenter drifte clusteret ditt? I takt med at AI-modeller blir smartere, går vi fra "Infrastructure as Code" til "Infrastructure as Agents". I denne super-praktiske, to-timers workshopen dykker vi ned i "Agentic Cloud Ops". Vi skal se på hvordan vi kan bruke agenter til å ikke bare deploye applikasjoner, men til å overvåke, feilsøke og sikre (hardne) Kubernetes-miljøer helt autonomt.

KRMOps (Kubernetes Resource Model Operations) is a Kubernetes-native approach to managing cloud resources declaratively. It extends the Kubernetes Resource Model (KRM) beyond cluster-native resources to AWS services and infrastructure, enabling fully API-driven cloud provisioning and reconciliation. KRMOps is powered by ACK (AWS Controllers for Kubernetes) and kro (Kube Resource Orchestrator) , both are now available as EKS Capabilities . What are EKS Capabilities? EKS Capabilities are fully managed, Kubernetes-native features that run within Amazon EKS, eliminating the need to install, maintain, and scale critical platform components on your worker nodes. This workshop focuses on ACK and kro capabilities:

Formula 1 teams rely on a constant stream of telemetry and race data to make critical decisions during a race. In this hands-on workshop, you'll build a real-time AI application that ingests live race data with Apache Kafka, detects anomalies using Apache Flink, and uses AI agents to recommend pit stop strategies as race conditions evolve. Through a series of guided exercises, you'll implement stream processing, stateful event analytics, anomaly detection, and agent-driven decision making. You'll also explore how AI agents can consume live event streams to generate race updates and social media content grounded in real-time race events. Designed for developers, platform engineers, architects, and data engineers, this workshop focuses on building an end-to-end intelligent application where streaming data directly drives AI-powered actions.

Speakers

Kubernetes policies are often introduced to improve security and consistency, but once enabled they can be difficult to understand and troubleshoot. When a workload is rejected, teams frequently lack visibility into which policy was evaluated, how often it fails. This talk presents a simple, technical workflow for observing Kubernetes policy behavior using Kyverno and VictoriaMetrics. Starting from a single validation policy, we show how policy evaluations and enforcement results are exposed as metrics, ingested into VictoriaMetrics and queried through a standard Prometheus-compatible API. A minimal dashboard is then used to inspect policy failures, affected namespaces and policy execution duration. The talk focuses on making policy enforcement observable using standard Kubernetes primitives and open metrics, without assuming prior experience with policy engines or observability systems.