GitOps Evolution Through the Lens of a Flux Maintainer

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GitOps Evolution Through the Lens of a Flux Maintainer Stefan Prodan Principal Engineer @ ControlPlane.io FluxCon NA 2025

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GitOps - The Early Days @ C O N T R O L P L A N E I O

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Flux v1 - GitOps Inception (2016 - 2019) @ C O N T R O L P L A N E I O

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Flux v2 - GitOps Maturity (2020 - present) @ C O N T R O L P L A N E I O

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Flagger - GitOps Progressive Delivery (2020 - present) @ C O N T R O L P L A N E I O

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Flux v2 - Open Container Initiative (2022 - present) @ C O N T R O L P L A N E I O

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Flux Operator GitOps on Autopilot Mode

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Flux Operator - Overview @ C O N T R O L P L A N E I O The Flux Operator is designed to automate the lifecycle management of Flux components and to streamline the GitOps workflows for Kubernetes clusters. Highlights ● Declarative cluster bootstrap (FluxInstance CRD) ● Flexible cluster synchronisation (Git repos, OCI registries, S3 buckets) ● Deep insight into the delivery pipelines managed by Flux ● High-level abstractions built on top of Flux APIs (ResourceSet CRD) ● AI-assistant GitOps with Flux MCP Server ● Enterprise Edition with vulnerably remediation & automated patching

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Flux Operator Declarative Cluster Bootstrap

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Flux Operator - Gitless GitOps (2024 - present) @ C O N T R O L P L A N E I O

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Flux Operator Dynamic Resource Composition

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ResourceSet API @ C O N T R O L P L A N E I O The ResourceSet API offers a high-level abstraction for defining and managing Flux resources and related Kubernetes objects as a single unit. Features ● Reduces the complexity of GitOps repositories ● Multi-instance & multi-cluster provisioning for tenants and workloads ● Advanced dependency management based on CEL expressions ● Deploy app code and config changes made in Pull Requests to ephemeral environments for testing and validation

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Flux MCP Server Agentic GitOps

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Flux Operator - Model Context Protocol (MCP) Server @ C O N T R O L P L A N E I O The MCP Server connects AI assistants directly to your Kubernetes clusters running Flux Operator, enabling seamless interaction through natural language. Features ● AI-powered troubleshooting & root cause analysis for issues with apps and infrastructure deployments ● Cross-cluster comparison for Flux configuration and Kubernetes workloads ● GitOps pipeline analysis, generation and refactoring ● Engineers learn Flux concepts in the context of your actual infrastructure