Training: Microservices Orchestration with Kubernetes
Level
AdvancedDuration
24h / 3 daysDate
Individually arrangedPrice
Individually arrangedTraining: Microservices Orchestration with Kubernetes
“Microservices Orchestration with Kubernetes” is an intensive three-day training that combines theory with practical workshops, enabling participants to gain the knowledge and skills necessary to deploy, manage, and scale microservices applications in Kubernetes environments. The training is 80% hands-on, allowing participants to build real-world solutions and understand Kubernetes’ advanced features, with the remaining 20% covering the core principles and best practices.
What You Will Learn
- How to effectively deploy, manage, and scale microservices in Kubernetes
- How to secure applications and data in Kubernetes clusters
- How to use tools such as Helm, Prometheus, and Grafana for system management and monitoring
- How to design microservices application architecture following Kubernetes best practices
Who is this training for?
This training is intended for developers, DevOps engineers, system architects, and IT administrators who want to deepen their understanding of microservices management in Kubernetes. It is suitable for both beginners in Kubernetes and those with basic experience.
Training Program
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1. Introduction to Kubernetes and Microservices
- Kubernetes architecture: key components and their role in application management
- Why Kubernetes is the ideal tool for microservices orchestration
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2. Kubernetes Basics
- Creating and managing Kubernetes resources: Deployment, Pod, Service
- Using kubectl and YAML to define applications
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3. Networking and Communication in Kubernetes
- Configuring networking in Kubernetes clusters: basics of Service and Ingress
- Securing communication between microservices: authentication and encryption
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4. Scaling and Load Management
- Application autoscaling in Kubernetes: Horizontal Pod Autoscaler (HPA)
- Performance monitoring with Prometheus and Grafana
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5. State Management in Microservices Applications
- Creating and managing Persistent Volumes (PV) and Persistent Volume Claims (PVC)
- Practical approaches to data management in Kubernetes
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6. Advanced Kubernetes Features
- Helm: managing application packages in Kubernetes
- ConfigMaps and Secrets: managing configuration and sensitive data
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7. Security in Kubernetes
- Implementing Role-Based Access Control (RBAC) in clusters
- Securing communication and access to Kubernetes clusters
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8. Practical Workshop: Deploying Microservices Applications
- Designing microservices architecture in Kubernetes
- Implementing, scaling, and monitoring a system in a real-world scenario