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Corporate Advanced Full-Stack Development with React and Node

Node JS

  1. Advanced Node.js Performance Optimization
  • Identifying and resolving performance bottlenecks in Node js applications
  • Memory management and garbage collection optimizations
  • Profiling and benchmarking Node.js applications
  1. Microservices Architecture with Node.js
  • Introduction to microservices architecture
  • Building and managing microservices using Node js
  • Communication between microservices (e.g., REST APIs, message queues)
  1. Scalable and Resilient Node.js Applications
  • Horizontal scaling techniques for Node js applications
  • Implementing clustering and load balancing
  • Handling errors and failures in distributed systems
  1. Real-time Applications with Node.js and WebSockets
  • Building real-time chat applications using WebSockets
  • Using socket.io for bidirectional communication
  • Scaling real-time applications with socket.io clusters

React JS

  1. React Performance Optimization
  • Advanced optimization techniques for React applications
  • Memoization and reselect for optimized rendering
  • Lazy loading and code splitting for performance improvement
  1. React Native for Mobile App Development
  • Introduction to React Native and its architecture
  • Building mobile apps for iOS and Android using React Native
  • Accessing native device features and APIs
  1. State Management with Redux Toolkit
  • Advanced Redux concepts (e.g., middleware, selectors)
  • Implementing Redux Toolkit for efficient state management
  • Advanced patterns for handling complex state scenarios
  1. Testing and Debugging Complex React Applications
  • Advanced testing techniques for React components (e.g., integration testing, snapshot testing)
  • Debugging performance issues in React applications
  • React-specific debugging tools and techniques

 AWS

  1. Advanced AWS Networking
  • Implementing advanced networking architectures in AWS
  • Virtual private cloud (VPC) design and configuration
  • Hybrid cloud networking with AWS Direct Connect and VPN
  1. AWS Advanced Security and Compliance
  • Advanced security practices for AWS environments
  • Security automation and incident response
  • Compliance frameworks and regulations in AWS
  1. Advanced AWS Serverless Architecture
  • Advanced serverless application design patterns
  • Event-driven architectures and AWS Lambda integrations
  • Serverless orchestration and workflows using Step Functions
  1. AWS Advanced Monitoring and Performance Optimization
  • Monitoring and troubleshooting complex AWS environments
  • Performance optimization techniques for AWS services
  • Using advanced monitoring tools (e.g., AWS CloudWatch Insights, AWS X-Ray)

Kubernetes

  1. Advanced Kubernetes Networking and Ingress
  • Advanced networking configurations (e.g., network policies, service meshes)
  • Ingress controllers and advanced routing strategies
  • Securing and encrypting Kubernetes network traffic
  1. Advanced Kubernetes Operators
  • Building custom Kubernetes operators
  • Managing complex applications with custom resource definitions (CRDs)
  • Using operator frameworks (e.g., Operator SDK) for operator development
  1. Kubernetes Monitoring and Observability
  • Monitoring Kubernetes clusters and applications
  • Implementing observability with metrics, logging, and tracing
  • Using monitoring and observability tools (e.g., Prometheus, Grafana, Jaeger)
  1. Kubernetes Security and Compliance at Scale
  • Implementing security best practices in large-scale Kubernetes deployments
  • RBAC and access control in complex environments
  • Auditing, compliance, and vulnerability management in Kubernetes clusters

Ansible

  1. Ansible Advanced Playbook Development
  • Developing reusable and modular Ansible playbooks
  • Ansible roles and role dependencies
  • Using dynamic inventories and dynamic playbooks
  1. Ansible Performance Optimization and Scaling
  • Optimizing Ansible playbooks for improved performance
  • Scaling Ansible automation to manage large infrastructure
  • Using asynchronous and parallel execution strategies
  1. Ansible Custom Modules and Plugins
  • Developing custom Ansible modules and plugins
  • Extending Ansible functionality with custom modules
  • Writing dynamic inventory scripts
  1. Ansible Infrastructure Testing and Continuous Integration
  • Infrastructure testing using Ansible and tools like Testinfra
  • Integrating Ansible with CI/CD pipelines (e.g., Jenkins, GitLab CI)
  • Infrastructure as Code (IaC) and automated testing practices

Jenkins

  1. Jenkins Pipeline Orchestration
  • Advanced pipeline scripting and customization
  • Implementing complex Jenkins pipelines using Jenkinsfile
  • Pipeline libraries and shared libraries
  1. Jenkins Configuration as Code (JCasC)
  • Managing Jenkins configuration using declarative YAML files
  • Infrastructure as Code for Jenkins with JCasC
  • Versioning and managing Jenkins configurations with Git
  1. Jenkins Distributed Builds and High Availability
  • Scaling Jenkins for distributed builds and parallel execution
  • High availability and fault tolerance strategies for Jenkins
  • Docker-based Jenkins agents and Kubernetes integration
  1. Jenkins Advanced Plugin Development
  • Developing custom Jenkins plugins to extend functionality
  • Jenkins plugin development best practices
  • Integrating Jenkins with external systems through plugins

Docker

  1. Advanced Docker Networking and Service Meshes
  • Implementing advanced networking concepts in Docker (e.g., overlays, MACVLAN)
  • Service mesh architectures using tools like Istio
  • Advanced load balancing and traffic management
  1. Docker Security Best Practices and Vulnerability Management
  • Container runtime security considerations
  • Implementing secure container configurations
  • Vulnerability scanning and management in Docker images
  1. Docker Orchestration with Swarm and Kubernetes
  • Deploying and managing multi-node Docker Swarm clusters
  • Integrating Docker Swarm with Kubernetes for hybrid deployments
  • Migrating applications from Docker Swarm to Kubernetes
  1. Docker Enterprise and Enterprise-grade Features
  • Exploring Docker Enterprise Edition (EE) and its features
  • High availability and disaster recovery in Docker EE
  • Docker EE security and compliance features

Duration 90 Days

Fees 300000

Course Partner OrisysIndia Consultancy Services Pvt. Ltd. OrisysIndia Foundation

Certification Yes

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