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Introduction to Cilium (LFS146) is a free, self-paced Linux Foundation course for people who already know basic Kubernetes and want a guided introduction to Cilium networking, security and observability. The course page lists about 26 hours of material, hands-on labs, 90 days of access and a digital learning badge. It is a useful starting point—not a professional certification or a guarantee that you are ready to migrate a production cluster.

What is LFS146?

LFS146 is the Linux Foundation’s beginner-level course on Introduction to Cilium. It is online and self-paced, and the current course listing shows a price of $0. The stated 26 hours refer to course material, not a fixed completion time; lab setup and practice can add time. The listing also describes hands-on exercises, assignments, discussion forums, 90 days of access and a digital badge. Check the course page for current enrollment terms and access details.

“Beginner” here means beginner in Cilium, not beginner in Kubernetes. The listed prerequisites include familiarity with basic Kubernetes concepts and operations and using kubectl. If Pods, Services, namespaces and basic cluster troubleshooting are new to you, learn those first or expect to pause often.

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What Cilium does—and where Hubble fits

A Kubernetes cluster needs a Container Network Interface (CNI) to connect workloads. Cilium is open-source networking and security software that uses eBPF to implement datapath features in the Linux kernel. That foundation lets it provide connectivity, policy enforcement and visibility without requiring application code changes. The exact capabilities available depend on the cluster, kernel, configuration and Cilium version; see the Cilium and Hubble overview.

Hubble is Cilium’s observability layer. It helps operators inspect communication between services, DNS activity, connection failures and policy verdicts. In practical troubleshooting, that can help distinguish a DNS problem from a blocked connection or an application-level failure. It is more useful as a way to ask “what happened to this flow?” than as a dashboard to glance at after setup.

What the course covers

The official outline has eight chapters. Together they move from installing Cilium to exploring its policy, observability and multi-cluster capabilities:

  1. Cilium overview: The role of a CNI, Cilium’s eBPF-based approach and the problems the project addresses.
  2. Installation: Deploying Cilium in a Kubernetes lab and checking that the cluster is functioning.
  3. Network policy: Applying rules to control workload communication. Cilium policies can cover L3 and L4, with selected L7 use cases; policy rules still need to account for dependencies such as DNS and health checks.
  4. Hubble observability: Inspecting flows and policy decisions to understand which workloads communicate and where traffic is failing.
  5. Prometheus metrics: Exploring metrics that can support monitoring and troubleshooting.
  6. Transparent encryption: An introduction to encrypting traffic, a feature that also raises design and key-management questions in real deployments.
  7. Replacing kube-proxy: Understanding Cilium’s option to handle Kubernetes service load balancing instead of kube-proxy, and the operational implications of changing that component.
  8. Cilium Cluster Mesh: An introduction to connecting Cilium-managed clusters and the concerns around identity, reachability and service discovery.

The course describes learners as being able to install and use Cilium to connect, observe and secure applications, inspect activity with Hubble and create L3–L7 policies. Treat those outcomes as an introduction to the tasks, not proof of expertise in every protocol or production topology.

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Lab requirements: check these before enrolling

The most easily missed requirement is the cluster state: the course’s exercises call for a pre-provisioned Kubernetes cluster without a CNI plugin already installed. Many ready-made clusters have a network plugin installed by default. Installing Cilium over an existing CNI can create conflicts, so a disposable cluster designed for the lab is safer than experimenting on a cluster that hosts anything important.

The Linux Foundation lists Linux kernel socket load-balancing support and kernel baselines of 4.19.57, 5.1.16, 5.2.0 or newer. It also lists helm, kubectl and curl on the learner’s primary system. The labs were tested with local clusters based on Kind 0.25.0 and minikube 1.31, as well as Microsoft Azure AKS. These tested environments are not a promise that every newer or differently configured cluster will behave identically. Confirm the course’s lab instructions and your platform’s compatibility before building an environment.

Before starting, check basic access and tool versions:

kubectl version
kubectl get nodes -o wide
kubectl get pods -A
helm version
curl --version
uname -r

These checks help you spot missing tools, unreachable Kubernetes APIs or an unexpected kernel version. They do not by themselves confirm CNI compatibility, kernel capabilities or that a cluster is safe to reconfigure.

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Use the course’s installation instructions, not a copied command

Cilium installation options vary by Kubernetes provider, networking mode and release. A generic Helm command copied from elsewhere may not be right for AKS, EKS, GKE or a local cluster. Follow the course’s prescribed version and configuration when completing its labs; for other environments, use the relevant section of the Cilium Helm installation guide. The quick installation guide is another official starting point, but its instructions should not be assumed to match every course lab.

Once Cilium is installed, a lab may ask you to check deployment health and connectivity. Typical diagnostic commands include:

kubectl -n kube-system get pods
cilium status
cilium connectivity test

If a check fails, inspect events and Cilium agent logs rather than repeatedly changing settings:

kubectl -n kube-system get events --sort-by=.lastTimestamp
kubectl -n kube-system logs -l k8s-app=cilium
kubectl -n kube-system describe pods -l k8s-app=cilium

These commands are troubleshooting aids, not a universal repair sequence. A failure can come from a conflicting CNI, node routing, DNS, a policy, cloud firewalls or security groups, MTU and encapsulation settings, or missing kernel support.

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Who should take it?

LFS146 is a good fit if you already work with Kubernetes and want a structured, no-cost way to understand Cilium before using it in a lab or evaluating it for a platform. The Linux Foundation identifies application developers, systems operators, security professionals and Kubernetes users among its intended audience. You do not need to arrive as an eBPF specialist, but you should be comfortable with the Kubernetes command line and basic cluster operations.

It is a weaker fit if you are looking for a deep Linux networking or eBPF programming course, detailed production migration guidance, vendor support, or a proctored credential. It also may not be practical if you cannot provision a compatible cluster without an existing CNI.

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What the badge means—and what it does not

The associated LFS146 Credly badge lists Cilium, Hubble, eBPF, network policy, metrics and Cluster Mesh among its skills. Its stated earning criterion is a 70% passing grade on the final exam. That makes it a learning badge documenting course achievement; it is not the same as a proctored professional certification such as the CKA or CKS. Completing the course also does not establish that you can safely replace a production CNI, tune eBPF programs, or operate multi-cluster networking at scale.

Common lab problems to anticipate

  • An existing CNI is present: Cilium agents may start while workload networking or routes behave unexpectedly. Prefer recreating a disposable cluster without a CNI. Remove another CNI only when the platform’s documentation explicitly supports that procedure.
  • Kernel capability or compatibility issues: Check the kernel version, node operating-system documentation and Cilium agent logs. A newer-looking version number alone does not guarantee every feature is available.
  • DNS stops working after a policy: A policy can block DNS or another dependency even when its main allow rule looks right. Verify the namespace, destination identity, protocol and port, then use Hubble to see whether traffic was dropped.
  • Connectivity tests fail: Establish whether the issue is installation, routing, DNS, policy, cloud networking, MTU or kernel support before changing configuration. Cloud security groups and firewalls can affect results even when Kubernetes objects look healthy.
  • Managed-cluster limits: Cloud-provider networking modes and node types can restrict which CNI setups are supported. For example, AWS says EKS Fargate nodes use the Amazon VPC CNI and cannot use an alternate CNI; alternate-CNI support otherwise depends on deployment model. Read the current AWS alternate CNI guidance before planning an EKS lab or migration.

How to think about Cilium versus alternatives

Cilium is worth evaluating when you need its combination of eBPF-based datapath features, identity-aware policy, Hubble flow visibility, and options such as encryption or kube-proxy replacement. Those features do not make it universally faster, safer or simpler: performance and operational fit depend on workload, topology, kernel, configuration and the team’s experience.

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Calico is a credible alternative, and AWS lists both Cilium and Calico among alternate networking options for certain EKS scenarios. Compare the choices against your required routing model, policy needs, observability, kernel compatibility, cloud integration, support arrangements and migration risk—not a blanket performance claim. Provider-native networking may be preferable where provider integration and clear support boundaries matter more than Cilium-specific features. On EKS in particular, alternate-CNI support varies by deployment model and should be verified in AWS’s current guidance.

What to do after the course

Keep working in a disposable environment. Repeat policy exercises while deliberately testing DNS, service discovery and health checks; use Hubble to explain both allowed and denied flows. Then consult the current Cilium documentation for the specific feature and release you plan to use. If production adoption is the goal, add a separate design and test phase for kernel and datapath compatibility, MTU, load-balancer and health-check behavior, encryption and key management, failure domains, upgrades and rollback.

Cluster Mesh needs its own careful evaluation: connecting clusters involves cluster identities, network reachability, service discovery, policy behavior, failure isolation, version compatibility and clear operational ownership. The course introduces the concept; it is not a substitute for testing those conditions in your architecture. If your learning goal is Kubernetes administration or security certification, pursue the relevant CKA or CKS preparation separately. If your goal is supported production deployment, investigate the support and training options appropriate to your organization rather than treating a free introductory course as operational support.

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