Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD

Master Cloud-Native: Microservices, Containers, Kubernetes, Service Mesh, gRPC, Helm, Redis, Kafka, CI/CD, GitOps, ELK..
4.52 (520 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD
8 734
students
24 hours
content
Apr 2025
last update
$19.99
regular price

Why take this course?

Based on the comprehensive outline you've provided, it seems you are planning to cover a wide array of topics that are essential for anyone looking to become proficient in cloud-native technologies and architectures. Your course is well-structured and aims to take participants from theoretical knowledge to practical, hands-on experience with real-world scenarios.

Here's a summary of the key components of your course:

  1. Introduction to Cloud-Native:

    • Explanation of cloud-native concepts and its importance in modern software development.
  2. Cloud-Native Pillars:

    • Microservices architecture
    • Containerization with Docker
    • Orchestration with Kubernetes (and Minikube)
    • Service mesh with Istio and Envoy
    • Cloud-Native Databases (e.g., CockroachDB, Redis)
    • Message brokers (e.g., Kafka)
    • Auto-scaling (Vertical Pod Autoscaler, Horizontal Pod Autoscaler, KEDA)
    • Serverless computing (specifically AWS Lambda and its services)
  3. Infrastructure as Code (IaC) and GitOps with:

    • Terraform for provisioning infrastructure
    • ArgoCD for GitOps workflows
  4. Continuous Integration/Continuous Deployment (CI/CD):

    • Implementing CI/CD pipelines with GitHub Actions
    • Building and pushing Docker images to registries like DockerHub
  5. Monitoring and Observability:

    • Setting up Prometheus, Grafana, and the ELK stack for monitoring Kubernetes clusters.
  6. Hands-On Labs:

    • A series of labs to apply the knowledge learned in practical scenarios, including deploying microservices, containerizing applications, auto-scaling, and using cloud services like AWS EKS Fargate.
  7. AWS Serverless Labs:

    • Deploying services on AWS Apprunner, building microservices with AWS Lambda, API Gateway, and DynamoDB, and setting up Amazon SNS notifications with AWS Lambda.
  8. Course Target:

    • To equip software developers and architects with the skills to make decisions in cloud-native architecture boards.
  9. Learning Methodology:

    • A Learn-Explore-Design-Hands-on approach to ensure a thorough understanding of the subject matter.
  10. Outcomes:

    • Prepare for software architecture interviews and system design interview exams.
    • Gain real-world experience in designing, building, and deploying cloud-native applications using microservices, Kubernetes, service meshes, CI/CD pipelines, and more. Your course seems to be a comprehensive training program designed to bridge the knowledge gap between theoretical concepts and practical application of these concepts in the realm of cloud-native technologies. It aims to make participants ready to tackle complex software architecture problems and contribute significantly to the field of cloud-native applications and systems design.

Course Gallery

Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD – Screenshot 1
Screenshot 1Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD
Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD – Screenshot 2
Screenshot 2Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD
Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD – Screenshot 3
Screenshot 3Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD
Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD – Screenshot 4
Screenshot 4Cloud-Native: Microservices, Kubernetes, Service Mesh, CI/CD

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5219374
udemy ID
18/03/2023
course created date
21/08/2023
course indexed date
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