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Designing, Deploying, and Operating Kubernetes Applications at Scale
You will understand what Helm really does, how it models state, tracks releases, and translates declarative intent into concrete Kubernetes resources. You will know exactly what happens during install, upgrade, rollback, and uninstall operations, and why Helm behaves the way it does in each phase. | |
You will learn how to install, configure, and operate Helm correctly, including how Helm uses environment variables, configuration paths, caches, registries, plugins, and Kubernetes authentication. You will be able to reason about Helm's behavior across machines, users, CI systems, and clusters. | |
You will master chart structure and chart design, from simple charts to complex, production-grade charts with dependencies, subcharts, CRDs, hooks, and lifecycle ordering. You will understand how charts are rendered, validated, versioned, packaged, and distributed. | |
You will learn how to customize deployments safely and predictably, using values files, schemas, overrides, and defaults. You will understand how configuration is merged, validated, and exposed to templates, and how to design charts that are flexible without becoming fragile. | |
You will gain a deep understanding of Helm releases and revision history, including how upgrades, rollbacks, and uninstall operations are recorded and replayed. You will know how to inspect what Helm installed, what it intended to install, and how that differs from what is currently running in the cluster. | |
You will learn how to debug Helm effectively, using dry runs, debug output, rendered manifests, hooks inspection, and release metadata. You will be able to diagnose failed installs, partial upgrades, broken hooks, and ordering issues without guessing. | |
You will understand advanced Helm behaviors such as dependency resolution, CRD handling, hook execution order, lifecycle guarantees, and the subtle differences between Helm's desired state and Kubernetes' actual state. | |
You will build and deploy real multi-service applications with Helm, managing dependencies, secrets, configuration, services, and databases in a repeatable and testable way. You will see how Helm fits into realistic application workflows, not just toy examples. | |
You will learn how to secure and verify Helm charts, including provenance, signing, verification, and distribution through both traditional repositories and OCI registries. | |
Finally, you will understand how Helm fits into GitOps workflows, how it interacts with tools like Argo CD, where responsibilities overlap, and where they must be kept separate. You will learn how to use Helm effectively in declarative delivery systems without fighting the tool or the platform. |
This guide sets out to explain Helm in context, not in isolation. It looks at the library, the ecosystem around it, and the ideas that hold everything together. This guide is designed to take you from a solid understanding of the fundamentals to confidently operating, debugging, and designing Helm-based systems in real production environments.
It focuses on how Helm behaves in practice, not just how to run commands. The goal is not memorization, but confidence: knowing what Helm is doing, why it is doing it, and how to design systems that work with it instead of around it.
By the end of "Helm…
This guide sets out to explain Helm in context, not in isolation. It looks at the library, the ecosystem around it, and the ideas that hold everything together. This guide is designed to take you from a solid understanding of the fundamentals to confidently operating, debugging, and designing Helm-based systems in real production environments.
It focuses on how Helm behaves in practice, not just how to run commands. The goal is not memorization, but confidence: knowing what Helm is doing, why it is doing it, and how to design systems that work with it instead of around it.
By the end of "Helm in Practice", my goal is for you to feel comfortable with Helm, transforming your perception of the ecosystem from a labyrinth of complexity into a well-organized, manageable, and actionable path.
k3s 
Helm 
Argo 
Docker 
Harbor 
Kubernetes
Aymen El Amri is a software and cloud-native engineer, trainer, author, and technopreneur with 15+ years of experience in building and scaling distributed systems, cloud architectures, and modern software delivery pipelines.
He founded FAUN.dev(), one of the web's most active developer communities focused on Kubernetes, cloud-native engineering, modern software delivery, and other related topics.
He has trained thousands of engineers on DevOps, SRE, Kubernetes, microservices, and cloud architectures, helping teams build reliable and scalable systems. His technical guides and courses are widely used by engineers and organizations looking to adopt cloud-native practices.
His work earned several honors, including a national open-source award. He also advises companies on shaping their cloud-native and platform engineering direction. TechBeacon listed him among the top 100 DevOps professionals to follow.
Find him on X, LinkedIn and FAUN.dev().
Designing, Deploying, and Operating Kubernetes Applications at Scale
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