Linux Cluster Training
Introduction to Linux Clustering
Gain an overview of Linux clustering technologies. Learn about the fundamentals of clustering, the benefits of using clusters, and the various types of clusters available for Linux systems.
Setting Up a Linux Cluster
Learn how to set up a basic Linux cluster. Understand the installation process, configuration tasks, and how to deploy and manage nodes in a cluster environment.
Cluster Management and Configuration
Explore the management and configuration of Linux clusters. Learn about tools and techniques for managing cluster nodes, resources, and configurations to ensure effective cluster operation.
High Availability and Load Balancing
Discover high availability and load balancing techniques for Linux clusters. Learn how to configure failover, load balancing, and redundancy to maintain service availability and performance.
Cluster Monitoring and Performance
Understand how to monitor and optimize cluster performance. Learn about monitoring tools, performance metrics, and strategies for tuning cluster resources to ensure optimal performance.
Security in Linux Clusters
Explore security best practices for Linux clusters. Learn about securing cluster communications, managing access controls, and protecting data within a clustered environment.
Scaling and Extending Clusters
Learn how to scale and extend Linux clusters. Understand how to add nodes, manage resources dynamically, and ensure that your cluster can grow to meet increasing demands.
Cluster Troubleshooting and Maintenance
Discover techniques for troubleshooting and maintaining Linux clusters. Learn how to diagnose and resolve common issues, perform routine maintenance, and keep your cluster running smoothly.
Advanced Cluster Configurations
Explore advanced cluster configurations and setups. Learn about complex clustering scenarios, integrating clusters with other systems, and optimizing advanced cluster features.
Hands-On Labs and Practical Projects
Engage in hands-on labs and practical projects to apply your knowledge of Linux clustering. Work on real-world scenarios to develop practical skills in cluster management and configuration.
Linux Cluster syllabus
1. Introduction to Cluster Computing
- Overview of Cluster Computing
- Advantages and Challenges of Cluster Computing
- Types of Clusters (High Performance Computing, High Availability, Load Balancing, etc.)
- Cluster Components and Architecture
2. Linux Fundamentals
- Introduction to Linux Operating System
- Basic Linux Commands and Navigation
- File System Management in Linux
- User and Group Management
- Permissions and Security in Linux
3. Networking for Clusters
- Networking Fundamentals
- TCP/IP Networking Essentials
- Configuring Network Interfaces in Linux
- Network File Systems (NFS) and Remote File Access
- Network Services: DNS, DHCP, NTP
4. Cluster Hardware and Software Setup
- Hardware Requirements for Cluster Nodes
- Selecting and Configuring Cluster Hardware
- Installing and Configuring Linux on Cluster Nodes
- Cluster Middleware: MPI, OpenMP, MPICH
- Setting up Cluster Communication and Interconnects
5. Cluster Management
- Introduction to Cluster Management Frameworks (e.g., OpenHPC, Rocks)
- Cluster Resource Management and Job Scheduling (e.g., Slurm, PBS, Torque)
- Monitoring and Performance Tuning Tools for Clusters
- High Availability (HA) and Failover Mechanisms
- Backup and Disaster Recovery Strategies
6. Parallel Programming on Clusters
- Introduction to Parallel Computing
- Parallel Programming Paradigms (MPI, OpenMP, Pthreads)
- Writing and Compiling Parallel Programs
- Debugging and Profiling Parallel Applications
- Performance Optimization Techniques
7. Security in Cluster Environments
- Understanding Security Risks in Clusters
- Authentication and Authorization Mechanisms
- Network Security: Firewalls, VPNs, SSH
- Data Security: Encryption, Access Controls
- Best Practices for Securing Linux Clusters
8. Advanced Topics in Cluster Computing
- Distributed File Systems (Lustre, GlusterFS)
- Virtualization and Containerization for Clusters (Docker, Kubernetes)
- Cloud Integration with Clusters
- GPU Computing in Cluster Environments
- Emerging Trends and Future Directions in Cluster Computing
9. Case Studies and Real-World Applications
- Case Studies of Successful Cluster Implementations
- Real-World Applications of Cluster Computing
- Hands-On Exercises and Labs with Cluster Setup and Configuration
- Troubleshooting Common Cluster Issues
10. Project Work and Presentations
- Participants work on a Cluster Project individually or in groups
- Project Topics can include Setting up a Specific Cluster Application, Optimizing Performance, or Solving a Real-World Problem using Cluster Computing
- Participants present their Projects to the class, demonstrating their understanding and skills acquired during the training
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details