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Build a CI/CD Pipeline on Kubernetes with Argo Rollouts, ArgoCD, Argo Workflows and Events, Argo Image Updater

What you will learn

Build a CI/CD Pipeline for a Micro Services Application by integrating Argo Rollouts, ArgoCD, Argo Workflows and Events, Argo Image Updater

Implment Blue/Green Deployment Strategy using Argo Rollouts. Write Argo Rollout Spec to Replace Kubernetes Deployments with.

Progressively Deploy to Production using Canary Release Strategy along with Nginx Ingress Controller for Traffic Shifting

Using principles of GitOps, Automatically Sync the Desires State from Git Repository to Kubernetes Cluster with ArgoCD

Set up Continuous Integration Pipeline with Argo Workflow. Learn Steps and DAG Based Orchestration along with writing Workflow Spec.

Event-Driven Automation: Set up event-driven automation pipelines with Argo Events to trigger deployments and workflows based on Git Repository Changes.

Integrate with Prometheus and Grafana for automated Experiments and Analysis, Rollout and Rollback based on the results of the Analysis.

Add-On Information:

  • Gain a comprehensive mastery over the entire Argo ecosystem, understanding the symbiotic relationship between ArgoCD, Argo Rollouts, Argo Workflows, Argo Events, and Argo Image Updater to engineer resilient, self-healing CI/CD pipelines.
  • Architect and implement sophisticated production-grade deployment strategies that move beyond basic rolling updates, ensuring zero downtime and mitigating deployment risks through meticulous planning and execution.
  • Develop a profound understanding of GitOps principles, establishing a single source of truth for your infrastructure and application configurations, enabling automated synchronization and drift detection across your Kubernetes clusters.
  • Construct dynamic, event-driven automation flows that react intelligently to external triggers, such as Git repository commits, enabling truly responsive and adaptive CI/CD pipelines for modern microservices architectures.
  • Master the art of declarative pipeline orchestration using Argo Workflows, crafting intricate multi-step or directed acyclic graph (DAG) based CI/CD processes directly within Kubernetes, ensuring consistency and version control.
  • Implement robust observability-driven progressive delivery, leveraging integrated monitoring and alerting tools like Prometheus and Grafana to automatically analyze deployment health and performance, facilitating automated decisions for rollouts or rollbacks.
  • Acquire the practical skills to configure advanced traffic management patterns with Nginx Ingress Controller, seamlessly integrating it with Argo Rollouts to precisely shift traffic during canary releases and A/B testing scenarios.
  • Learn to streamline the image update process across your deployments using Argo Image Updater, ensuring your applications are always running the latest approved container versions with minimal manual intervention.
  • Cultivate expertise in building highly automated, secure, and auditable deployment workflows, enhancing operational efficiency and significantly reducing manual errors in complex Kubernetes environments.
  • Gain invaluable hands-on experience through six real-world projects, solidifying theoretical knowledge into practical, demonstrable skills that are immediately applicable to enterprise-level cloud-native deployments.

PROS:


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  • Deep Dive into a Specialized Stack: Offers in-depth knowledge of a powerful, coherent set of tools for end-to-end CI/CD.
  • Practical, Project-Based Learning: Six real-world projects ensure hands-on application and skill consolidation.
  • Industry-Relevant Skills: Master highly sought-after tools and methodologies crucial for modern cloud-native DevOps roles.
  • Comprehensive CI/CD Coverage: Covers the entire spectrum from continuous integration to advanced deployment strategies and event-driven automation.
  • Future-Proofing Your Career: Equips participants with expertise in GitOps and progressive delivery, essential paradigms for future-proof DevOps careers.

CONS:

  • Steep Learning Curve for Beginners: Assumes a foundational understanding of Kubernetes and general DevOps concepts, which might be challenging for absolute newcomers.
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