Visit This Web URL https://masterytrail.com/product/accredited-expert-level-ibm-cloud-private-advanced-video-course Lesson 1: Introduction to IBM Cloud Private
1.1. Overview of IBM Cloud Private
1.2. Key Features and Benefits
1.3. Use Cases and Industry Applications
1.4. Architecture Overview
1.5. Components of ICP
1.6. Installation Prerequisites
1.7. Setting Up the Environment
1.8. Initial Configuration
1.9. Troubleshooting Common Issues
1.10. Hands-On: Basic Setup Walkthrough
Lesson 2: Deep Dive into ICP Architecture
2.1. Microservices Architecture
2.2. Containerization with Docker
2.3. Kubernetes Integration
2.4. Helm Charts and Package Management
2.5. Networking in ICP
2.6. Storage Solutions
2.7. Security and Compliance
2.8. Monitoring and Logging
2.9. Scalability and High Availability
2.10. Hands-On: Architecture Lab
Lesson 3: Advanced Installation and Configuration
3.1. Custom Installation Scenarios
3.2. Multi-Node Cluster Setup
3.3. High Availability Configuration
3.4. Backup and Restore Strategies
3.5. Upgrading ICP
3.6. Integrating with External Systems
3.7. Configuring Network Policies
3.8. Storage Classes and Persistent Volumes
3.9. Security Hardening
3.10. Hands-On: Advanced Installation Lab
Lesson 4: Container Orchestration with Kubernetes
4.1. Kubernetes Basics Refresher
4.2. Advanced Kubernetes Concepts
4.3. Pods, Services, and Deployments
4.4. Namespaces and Resource Quotas
4.5. ConfigMaps and Secrets
4.6. Horizontal and Vertical Pod Autoscaling
4.7. Custom Resource Definitions (CRDs)
4.8. Operators and Automation
4.9. Kubernetes Networking Deep Dive
4.10. Hands-On: Kubernetes Orchestration Lab
Lesson 5: Helm and Package Management
5.1. Introduction to Helm
5.2. Helm Charts and Templates
5.3. Creating Custom Helm Charts
5.4. Managing Helm Repositories
5.5. Helm Commands and Best Practices
5.6. Upgrading and Rolling Back Helm Releases
5.7. Integrating Helm with CI/CD Pipelines
5.8. Helm Security Considerations
5.9. Troubleshooting Helm Issues
5.10. Hands-On: Helm Package Management Lab
Lesson 6: Networking in IBM Cloud Private
6.1. ICP Networking Fundamentals
6.2. Configuring Ingress Controllers
6.3. Service Mesh with Istio
6.4. Network Policies and Security
6.5. Load Balancing and Traffic Management
6.6. DNS Configuration
6.7. VPN and Secure Connections
6.8. Multi-Cloud Networking
6.9. Troubleshooting Network Issues
6.10. Hands-On: Networking Lab
Lesson 7: Storage Solutions in ICP
7.1. Storage Options in ICP
7.2. Configuring Persistent Volumes
7.3. Dynamic Storage Provisioning
7.4. Storage Classes and Policies
7.5. Backup and Snapshot Strategies
7.6. Integrating with External Storage Systems
7.7. Performance Tuning for Storage
7.8. Storage Security and Encryption
7.9. Troubleshooting Storage Issues
7.10. Hands-On: Storage Solutions Lab
Lesson 8: Security and Compliance
8.1. ICP Security Fundamentals
8.2. Role-Based Access Control (RBAC)
8.3. Network Security Policies
8.4. Securing Container Images
8.5. Compliance and Auditing
8.6. Encryption and Key Management
8.7. Vulnerability Scanning and Management
8.8. Incident Response and Recovery
8.9. Security Best Practices
8.10. Hands-On: Security and Compliance Lab
Lesson 9: Monitoring and Logging
9.1. Monitoring Basics in ICP
9.2. Configuring Prometheus and Grafana
9.3. Logging with ELK Stack
9.4. Setting Up Alerts and Notifications
9.5. Performance Monitoring and Tuning
9.6. Log Analysis and Troubleshooting
9.7. Integrating with External Monitoring Tools
9.8. Custom Metrics and Dashboards
9.9. Long-Term Log Storage and Retention
9.10. Hands-On: Monitoring and Logging Lab
Lesson 10: Scalability and High Availability
10.1. Scalability Concepts in ICP
10.2. Horizontal and Vertical Scaling
10.3. Configuring High Availability
10.4. Load Balancing and Auto-Scaling
10.5. Disaster Recovery Planning
10.6. Performance Testing and Benchmarking
10.7. Resource Management and Optimization
10.8. Multi-Zone and Multi-Region Deployments
10.9. Troubleshooting Scalability Issues
10.10. Hands-On: Scalability and High Availability Lab
Lesson 11: CI/CD Pipelines in ICP
11.1. Introduction to CI/CD in ICP
11.2. Setting Up Jenkins in ICP
11.3. Creating CI/CD Pipelines
11.4. Integrating with Version Control Systems
11.5. Automated Testing and Quality Gates
11.6. Deployment Strategies (Blue-Green, Canary)
11.7. Rolling Updates and Rollbacks
11.8. Security in CI/CD Pipelines
11.9. Monitoring and Logging CI/CD Processes
11.10. Hands-On: CI/CD Pipeline Lab
Lesson 12: Microservices Architecture
12.1. Microservices Fundamentals
12.2. Designing Microservices for ICP
12.3. Service Discovery and Registration
12.4. API Gateways and Management
12.5. Inter-Service Communication
12.6. Data Management in Microservices
12.7. Resilience and Fault Tolerance
12.8. Scaling Microservices
12.9. Security in Microservices
12.10. Hands-On: Microservices Architecture Lab
Lesson 13: Advanced Kubernetes Features
13.1. Custom Controllers and Operators
13.2. Kubernetes Federation
13.3. Kubernetes Policy Management
13.4. Kubernetes Audit Logging
13.5. Kubernetes Resource Limits and Requests
13.6. Kubernetes Admission Controllers
13.7. Kubernetes Custom Schedulers
13.8. Kubernetes Service Mesh Integration
13.9. Kubernetes Multi-Tenancy
13.10. Hands-On: Advanced Kubernetes Features Lab
Lesson 14: Service Mesh with Istio
14.1. Introduction to Istio
14.2. Istio Architecture and Components
14.3. Traffic Management with Istio
14.4. Security with Istio (mTLS, Authorization)
14.5. Observability with Istio
14.6. Istio Policies and Configuration
14.7. Integrating Istio with ICP
14.8. Performance Tuning for Istio
14.9. Troubleshooting Istio Issues
14.10. Hands-On: Istio Service Mesh Lab
Lesson 15: Multi-Cloud and Hybrid Cloud Strategies
15.1. Multi-Cloud Concepts
15.2. Hybrid Cloud Architecture
15.3. Integrating ICP with Public Clouds
15.4. Data Synchronization and Replication
15.5. Networking in Multi-Cloud Environments
15.6. Security in Multi-Cloud Deployments
15.7. Cost Management and Optimization
15.8. Disaster Recovery in Multi-Cloud
15.9. Compliance and Governance
15.10. Hands-On: Multi-Cloud and Hybrid Cloud Lab
Lesson 16: Advanced Monitoring and Observability
16.1. Distributed Tracing with Jaeger
16.2. Advanced Prometheus Queries
16.3. Custom Grafana Dashboards
16.4. Log Aggregation and Analysis
16.5. Anomaly Detection and Alerting
16.6. Performance Profiling
16.7. Integrating with APM Tools
16.8. Observability Best Practices
16.9. Troubleshooting Observability Issues
16.10. Hands-On: Advanced Monitoring and Observability Lab
Lesson 17: Advanced Security Practices
17.1. Zero Trust Security Model
17.2. Identity and Access Management (IAM)
17.3. Securing API Endpoints
17.4. Container Image Security Scanning
17.5. Runtime Security and Threat Detection
17.6. Incident Response and Forensics
17.7. Compliance and Audit Logging
17.8. Security Automation and Orchestration
17.9. Penetration Testing and Vulnerability Assessment
17.10. Hands-On: Advanced Security Practices Lab
Lesson 18: Performance Tuning and Optimization
18.1. Performance Benchmarking
18.2. Resource Allocation and Management
18.3. Optimizing Container Images
18.4. Network Performance Tuning
18.5. Storage Performance Tuning
18.6. Application Performance Tuning
18.7. Horizontal and Vertical Scaling Strategies
18.8. Load Testing and Stress Testing
18.9. Performance Monitoring and Alerting
18.10. Hands-On: Performance Tuning and Optimization Lab
Lesson 19: Advanced CI/CD Practices
19.1. GitOps and Continuous Deployment
19.2. Infrastructure as Code (IaC)
19.3. Automated Canary Deployments
19.4. Feature Flags and Progressive Delivery
19.5. Security in CI/CD Pipelines
19.6. CI/CD for Multi-Cloud Deployments
19.7. Integrating CI/CD with Monitoring Tools
19.8. CI/CD Best Practices
19.9. Troubleshooting CI/CD Issues
19.10. Hands-On: Advanced CI/CD Practices Lab
Lesson 20: Advanced Microservices Patterns
20.1. Event-Driven Architecture
20.2. Saga Pattern for Distributed Transactions
20.3. Circuit Breaker Pattern
20.4. Bulkhead Pattern
20.5. Strangler Fig Pattern
20.6. Backend for Frontend (BFF) Pattern
20.7. Service Mesh Patterns
20.8. Data Mesh Patterns
20.9. Microservices Security Patterns
20.10. Hands-On: Advanced Microservices Patterns Lab
Lesson 21: Advanced Kubernetes Networking
21.1. Kubernetes Network Policies
21.2. Service Mesh Integration
21.3. Ingress Controllers and Load Balancers
21.4. Network Security and Encryption
21.5. Multi-Cloud Networking
21.6. Network Performance Tuning
21.7. Troubleshooting Network Issues
21.8. Advanced Network Configurations
21.9. Network Observability
21.10. Hands-On: Advanced Kubernetes Networking Lab
Lesson 22: Advanced Storage Solutions
22.1. Persistent Volume Claims (PVCs)
22.2. Dynamic Storage Provisioning
22.3. Storage Classes and Policies
22.4. Backup and Snapshot Strategies
22.5. Integrating with External Storage Systems
22.6. Performance Tuning for Storage
22.7. Storage Security and Encryption
22.8. Troubleshooting Storage Issues
22.9. Advanced Storage Configurations
22.10. Hands-On: Advanced Storage Solutions Lab
Lesson 23: Advanced Security and Compliance
23.1. Role-Based Access Control (RBAC)
23.2. Network Security Policies
23.3. Securing Container Images
23.4. Compliance and Auditing
23.5. Encryption and Key Management
23.6. Vulnerability Scanning and Management
23.7. Incident Response and Recovery
23.8. Security Best Practices
23.9. Troubleshooting Security Issues
23.10. Hands-On: Advanced Security and Compliance Lab
Lesson 24: Advanced Monitoring and Logging
24.1. Monitoring Basics in ICP
24.2. Configuring Prometheus and Grafana
24.3. Logging with ELK Stack
24.4. Setting Up Alerts and Notifications
24.5. Performance Monitoring and Tuning
24.6. Log Analysis and Troubleshooting
24.7. Integrating with External Monitoring Tools
24.8. Custom Metrics and Dashboards
24.9. Long-Term Log Storage and Retention
24.10. Hands-On: Advanced Monitoring and Logging Lab
Lesson 25: Advanced Scalability and High Availability
25.1. Scalability Concepts in ICP
25.2. Horizontal and Vertical Scaling
25.3. Configuring High Availability
25.4. Load Balancing and Auto-Scaling
25.5. Disaster Recovery Planning
25.6. Performance Testing and Benchmarking
25.7. Resource Management and Optimization
25.8. Multi-Zone and Multi-Region Deployments
25.9. Troubleshooting Scalability Issues
25.10. Hands-On: Advanced Scalability and High Availability Lab
Lesson 26: Advanced CI/CD Pipelines
26.1. Introduction to CI/CD in ICP
26.2. Setting Up Jenkins in ICP
26.3. Creating CI/CD Pipelines
26.4. Integrating with Version Control Systems
26.5. Automated Testing and Quality Gates
26.6. Deployment Strategies (Blue-Green, Canary)
26.7. Rolling Updates and Rollbacks
26.8. Security in CI/CD Pipelines
26.9. Monitoring and Logging CI/CD Processes
26.10. Hands-On: Advanced CI/CD Pipeline Lab
Lesson 27: Advanced Microservices Architecture
27.1. Microservices Fundamentals
27.2. Designing Microservices for ICP
27.3. Service Discovery and Registration
27.4. API Gateways and Management
27.5. Inter-Service Communication
27.6. Data Management in Microservices
27.7. Resilience and Fault Tolerance
27.8. Scaling Microservices
27.9. Security in Microservices
27.10. Hands-On: Advanced Microservices Architecture Lab
Lesson 28: Advanced Kubernetes Features
28.1. Custom Controllers and Operators
28.2. Kubernetes Federation
28.3. Kubernetes Policy Management
28.4. Kubernetes Audit Logging
28.5. Kubernetes Resource Limits and Requests
28.6. Kubernetes Admission Controllers
28.7. Kubernetes Custom Schedulers
28.8. Kubernetes Service Mesh Integration
28.9. Kubernetes Multi-Tenancy
28.10. Hands-On: Advanced Kubernetes Features Lab
Lesson 29: Advanced Service Mesh with Istio
29.1. Introduction to Istio
29.2. Istio Architecture and Components
29.3. Traffic Management with Istio
29.4. Security with Istio (mTLS, Authorization)
29.5. Observability with Istio
29.6. Istio Policies and Configuration
29.7. Integrating Istio with ICP
29.8. Performance Tuning for Istio
29.9. Troubleshooting Istio Issues
29.10. Hands-On: Advanced Service Mesh with Istio Lab
Lesson 30: Advanced Multi-Cloud and Hybrid Cloud Strategies
30.1. Multi-Cloud Concepts
30.2. Hybrid Cloud Architecture
30.3. Integrating ICP with Public Clouds
30.4. Data Synchronization and Replication
30.5. Networking in Multi-Cloud Environments
30.6. Security in Multi-Cloud Deployments
30.7. Cost Management and Optimization
30.8. Disaster Recovery in Multi-Cloud
30.9. Compliance and Governance
30.10. Hands-On: Advanced Multi-Cloud and Hybrid Cloud Lab
Lesson 31: Advanced Monitoring and Observability
31.1. Distributed Tracing with Jaeger
31.2. Advanced Prometheus Queries
31.3. Custom Grafana Dashboards
31.4. Log Aggregation and Analysis
31.5. Anomaly Detection and Alerting
31.6. Performance Profiling
31.7. Integrating with APM Tools
31.8. Observability Best Practices
31.9. Troubleshooting Observability Issues
31.10. Hands-On: Advanced Monitoring and Observability Lab
Lesson 32: Advanced Security Practices
32.1. Zero Trust Security Model
32.2. Identity and Access Management (IAM)
32.3. Securing API Endpoints
32.4. Container Image Security Scanning
32.5. Runtime Security and Threat Detection
32.6. Incident Response and Forensics
32.7. Compliance and Audit Logging
32.8. Security Automation and Orchestration
32.9. Penetration Testing and Vulnerability Assessment
32.10. Hands-On: Advanced Security Practices Lab
Lesson 33: Advanced Performance Tuning and Optimization
33.1. Performance Benchmarking
33.2. Resource Allocation and Management
33.3. Optimizing Container Images
33.4. Network Performance Tuning
33.5. Storage Performance Tuning
33.6. Application Performance Tuning
33.7. Horizontal and Vertical Scaling Strategies
33.8. Load Testing and Stress Testing
33.9. Performance Monitoring and Alerting
33.10. Hands-On: Advanced Performance Tuning and Optimization Lab
Lesson 34: Advanced CI/CD Practices
34.1. GitOps and Continuous Deployment
34.2. Infrastructure as Code (IaC)
34.3. Automated Canary Deployments
34.4. Feature Flags and Progressive Delivery
34.5. Security in CI/CD Pipelines
34.6. CI/CD for Multi-Cloud Deployments
34.7. Integrating CI/CD with Monitoring Tools
34.8. CI/CD Best Practices
34.9. Troubleshooting CI/CD Issues
34.10. Hands-On: Advanced CI/CD Practices Lab
Lesson 35: Advanced Microservices Patterns
35.1. Event-Driven Architecture
35.2. Saga Pattern for Distributed Transactions
35.3. Circuit Breaker Pattern
35.4. Bulkhead Pattern
35.5. Strangler Fig Pattern
35.6. Backend for Frontend (BFF) Pattern
35.7. Service Mesh Patterns
35.8. Data Mesh Patterns
35.9. Microservices Security Patterns
35.10. Hands-On: Advanced Microservices Patterns Lab
Lesson 36: Advanced Kubernetes Networking
36.1. Kubernetes Network Policies
36.2. Service Mesh Integration
36.3. Ingress Controllers and Load Balancers
36.4. Network Security and Encryption
36.5. Multi-Cloud Networking
36.6. Network Performance Tuning
36.7. Troubleshooting Network Issues
36.8. Advanced Network Configurations
36.9. Network Observability
36.10. Hands-On: Advanced Kubernetes Networking Lab
Lesson 37: Advanced Storage Solutions
37.1. Persistent Volume Claims (PVCs)
37.2. Dynamic Storage Provisioning
37.3. Storage Classes and Policies
37.4. Backup and Snapshot Strategies
37.5. Integrating with External Storage Systems
37.6. Performance Tuning for Storage
37.7. Storage Security and Encryption
37.8. Troubleshooting Storage Issues
37.9. Advanced Storage Configurations
37.10. Hands-On: Advanced Storage Solutions Lab
Lesson 38: Advanced Security and Compliance
38.1. Role-Based Access Control (RBAC)
38.2. Network Security Policies
38.3. Securing Container Images
38.4. Compliance and Auditing
38.5. Encryption and Key Management
38.6. Vulnerability Scanning and Management
38.7. Incident Response and Recovery
38.8. Security Best Practices
38.9. Troubleshooting Security Issues
38.10. Hands-On: Advanced Security and Compliance Lab
Lesson 39: Advanced Monitoring and Logging
39.1. Monitoring Basics in ICP
39.2. Configuring Prometheus and Grafana
39.3. Logging with ELK Stack
39.4. Setting Up Alerts and Notifications
39.5. Performance Monitoring and Tuning
39.6. Log Analysis and Troubleshooting
39.7. Integrating with External Monitoring Tools
39.8. Custom Metrics and Dashboards
39.9. Long-Term Log Storage and Retention
39.10. Hands-On: Advanced Monitoring and Logging Lab
Lesson 40: Advanced Scalability and High Availability
40.1. Scalability Concepts in ICP
40.2. Horizontal and Vertical Scaling
40.3. Configuring High Availability
40.4. Load Balancing and Auto-Scaling
40.5. Disaster Recovery Planning
40.6. Performance Testing and Benchmarking
40.7. Resource Management and Optimization
40.8. Multi-Zone and Multi-Region Deployments
40.9. Troubleshooting Scalability Issues