> ## Documentation Index
> Fetch the complete documentation index at: https://notes.kodekloud.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Course Overview
> A lab-focused course preparing learners for Certified Argo Project Associate covering Argo CD, Workflows, Rollouts, Events, and exam readiness on Kubernetes
Welcome to the Certified Argo Project Associate course.
I'm Barahalikar Siddharth, and I’ll guide you through the Argo ecosystem on Kubernetes — focusing on practical, hands-on skills that matter to employers and real-world cloud-native teams.
Why this course matters:
* Argo CD and other Argo projects are widely used at companies like Adobe, Tesla, and NVIDIA.
* GitOps is now a core pattern for scalable, auditable deployments.
* This course emphasizes labs and practice so you can learn by doing and recover from mistakes confidently.
This course is lab-focused. Expect guided exercises, break/fix scenarios, and mock exams designed to mirror real certification tasks.
Course modules at a glance:
| Module | Key Topics | Example/Outcome |
| ----------------------- | ----------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------- |
| Argo CD | GitOps principles, installation, app management via UI/CLI, reconciliation & health checks, Helm support, multi-cluster | Manage Git-backed app syncs and declarative deployments |
| Argo Workflows | Workflow authoring (DAGs, steps), artifacts, CLI/UI usage, data processing patterns | Submit and monitor reproducible workflows |
| Argo Rollouts | Blue/Green, Canary, progressive delivery, AnalysisTemplates, Prometheus integration | Implement safe canary rollouts with automated analysis |
| Argo Events | Event-sources, sensors, triggers (webhooks, queues) | Trigger workflows from events for automation |
| Certification Readiness | Mock exams, exam tips, common pitfalls | Prepare for the Certified Argo Project Associate exam |
We begin with Argo CD, covering GitOps fundamentals, the differences between traditional CI/CD and GitOps workflows, deployment models, and the surrounding tooling. You will install Argo CD, configure it, and manage applications from both the web UI and the CLI — including syncing manifests, managing secrets, and understanding reconciliation loops and health checks.
```yaml theme={null}
apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
generateName: cosmic-cow-recursive-
spec:
entrypoint: cosmic-cow
templates:
- name: cosmic-cow
steps:
- - name: wisdom-check
template: check-wisdom
- name: enlightened
template: cosmic-enlightenment
when: "{{steps.wisdom-check.outputs.result}} == \"enlightened\""
- name: confused
template: cosmic-cow
when: "{{steps.wisdom-check.outputs.result}} == \"confused\""
- name: check-wisdom
script:
image: python:3.8-alpine
command: [python]
source: |
import random
result = "enlightened" if random.randint(0, 1) == 0 else "confused"
print(result)
- name: cosmic-enlightenment
container:
image: rancher/cowsay
command: [sh, -c]
args: ["cowsay", "✨COSMIC ENLIGHTENMENT ACHIEVED! The bovine oracle"]
```
You will also explore advanced Argo CD topics:
* Reconciliation loops and automated drift correction
* Health checks and resource status reporting
* Fully declarative setups and Git sinks/sources
* Helm chart and Kustomize deployments
* Multi-cluster application management and access controls
Next, we cover Argo Workflows. This section teaches core concepts and architecture, installing and using the argo CLI, authoring workflows (steps, DAGs), handling artifacts, and patterns for batch or streaming data processing. Labs include submitting workflows and inspecting pod-level logs and outputs.
Installation example (replace the version tag with your desired release):
```bash theme={null}
ARGO_WORKFLOWS_VERSION="vX.Y.Z"
kubectl create namespace argo
kubectl apply -n argo -f "https://github.com/argoproj/argo-workflows/releases/download/$ARGO_WORKFLOWS_VERSION/install.yaml"
argo submit -n argo --watch https://raw.githubusercontent.com/argoproj/argo-workflows/master/examples/hello-world.yaml
```
Replace ARGO\_WORKFLOWS\_VERSION with the release tag you want to install (for example, "v3.4.8"). The sample `hello-world.yaml` run demonstrates a basic workflow submission and live watch.
After Argo Workflows, we move to Argo Rollouts. This module covers rollout concepts, architecture, and the tooling to implement progressive delivery strategies such as blue/green and canary. You’ll learn how to configure traffic routing, integrate metrics providers, and automate promotion or rollback via AnalysisRuns and AnalysisTemplates.
Example AnalysisTemplate for measuring a success-rate metric in Prometheus:
```yaml theme={null}
apiVersion: argoproj.io/v1alpha1
kind: AnalysisTemplate
metadata:
name: api-performance-check
spec:
args:
- name: service-name
- name: namespace
metrics:
- name: check-success-rate
provider:
prometheus:
address: http://prometheus.kube-prometheus-stack.svc.cluster.local:9090
query: |
sum(rate(http_requests_total{service_name="{{args.service-name}}",namespace="{{args.namespace}}",code!~"5.*"}[2m]))
/
sum(rate(http_requests_total{service_name="{{args.service-name}}",namespace="{{args.namespace}}"}[2m]))
count: 3
interval: 20s
failureLimit: 1
successCondition: result >= 0.99
```
Argo Events introduces event-driven automation for triggering Workflows and Rollouts. You’ll configure event sources and sensors, connect producers (webhooks, message queues, cloud events), and create end-to-end pipelines that react to external signals.
Certification readiness is covered with targeted mock exams, walkthroughs of common tasks, and exam strategy. These practice tests are designed to mimic the question styles you’ll see in the Certified Argo Project Associate exam so you can build confidence and identify areas for review.
Community and continued learning
* Join KodeKloud forums to discuss labs, share solutions, and ask instructors questions.
* Take advantage of community labs and contributed examples to extend your learning.
Are you ready to become a Certified Argo Project Associate and advance your cloud-native and DevOps career? Enroll, practice the labs, and use the mock exams to measure progress — we’ll guide you step-by-step.
Links and references
* [Argo CD documentation](https://argo-cd.readthedocs.io/en/stable/)
* [Argo Workflows documentation](https://argoproj.github.io/argo-workflows/)
* [Argo Rollouts documentation](https://argoproj.github.io/argo-rollouts/)
* [Argo Events documentation](https://argoproj.github.io/argo-events/)
* [GitOps Principles](https://www.gitops.tech/)
* [Helm](https://helm.sh/)
* [Prometheus](https://prometheus.io/)