
This is the Introduction to Mainframe to Cloud Mastery: Best Practices. Here, we will present: the primary audience for the course; the overall course goal; the skills, knowledge, and abilities that students will acquire; the stages to complete in order to successfully migrate mainframe workloads to the cloud; and 8 modules comprising the course.
A PDF copy of the companion book of the same title is available for download from the Resources area of this lesson.
Overview of mainframe architectures, applications, and how workloads are structured.
An in-depth look at transactional processing, batch processing, and other critical workloads.
Introduction to major cloud platforms (AWS, Azure, Google Cloud) and their offerings for workload migration.
Identifying workload characteristics (latency, security, performance) that affect cloud compatibility.
Understanding why cloud environments are beneficial for mainframe workload modernization.
How to create a thorough inventory of mainframe applications, data, and hardware components.
Techniques to map dependencies between applications, databases, and mainframe components.
How to identify mission-critical workloads and assess their importance to business operations.
Metrics to assess workload performance and scalability requirements.
How to evaluate the risk and complexity of migrating different workloads to the cloud.
Defining clear business and IT goals for the migration project.
Different approaches for phased migration (e.g., pilot testing, big-bang, or gradual transition).
How to create a roadmap with key milestones, timelines, and resource requirements.
Techniques to prioritize workloads based on risk, business impact, and technical complexity.
Defining measurable outcomes, including downtime minimization, performance benchmarks, and security compliance.
How to categorize workloads for rehosting (lift-and-shift), refactoring (code changes), or retiring.
Techniques to optimize workloads, including code refactoring and database migration planning.
Best practices for testing workload performance before migration, ensuring cloud compatibility.
Understanding when to use public, private, or hybrid cloud models for specific workloads.
Strategies for modernizing data storage and applications to take advantage of cloud capabilities.
Introduction to cloud security concepts, including shared responsibility models.
Best practices for encrypting data during migration and managing access controls in the cloud.
Understanding key compliance requirements (GDPR, HIPAA, PCI-DSS) and how to meet them during migration.
Overview of cloud-native security tools and services for real-time threat detection and mitigation.
Implementing backup solutions and disaster recovery plans during migration.
Overview of key migration tools, including AWS Migration Hub, Azure Migrate, and Google Cloud Migrate.
Understanding different migration methods—rehosting, replatforming, and refactoring—and their application.
Techniques to reduce downtime during migration, including parallel processing and phased migrations.
Ensuring data accuracy and integrity using secure transfer protocols and validation processes.
Using automation tools and orchestration frameworks to streamline the migration process.
How to perform functional, performance, and security testing of workloads after migration.
Techniques for identifying and resolving performance bottlenecks in the cloud.
How to optimize cloud resource usage and reduce costs through rightsizing and autoscaling.
Setting up monitoring systems for performance tracking and issue resolution.
Implementing CI/CD practices to improve agility in cloud environments.
Introduction to cloud monitoring tools like AWS CloudWatch, Azure Monitor, and Google Operations.
Best practices for conducting security audits and ensuring ongoing compliance with regulations.
How to conduct regular performance reviews and apply optimizations based on real-time data.
Using cost management tools to track cloud expenses and adjust resource allocation.
Adopting a culture of continuous improvement with regular updates, patch management, and performance tuning.
Mainframe to Cloud Mastery: Best Practices
Are you ready to modernize your legacy systems and unlock the full potential of cloud computing? The online course, Mainframe to Cloud Mastery: Best Practices, is your comprehensive roadmap to successfully transitioning mission-critical workloads to the cloud. Designed for IT professionals, mainframe system managers, and business leaders, this course offers step-by-step guidance on navigating the complexities of mainframe-to-cloud migration while leveraging the best tools and strategies available today.
Through this course, you’ll gain in-depth knowledge of planning, executing, and optimizing cloud migrations tailored to your organization’s unique needs. Learn how to assess your mainframe workloads for cloud compatibility, explore migration methodologies such as rehosting, replatforming, and refactoring, and adopt strategies to minimize downtime and ensure data integrity. You’ll also discover how to manage security and compliance in the cloud, optimize costs, and continuously improve cloud efficiency post-migration.
Key modules include:
Understanding Mainframe Workloads and Cloud Compatibility
Cloud Migration Tools and Techniques
Security and Compliance in Cloud Environments
Post-Migration Testing, Optimization, and Cost Management
Exploring Advanced Topics like APIs, CI/CD, and Emerging Cloud Technologies
This course is enriched with real-world case studies, practical checklists, and interactive exercises to reinforce your learning.
As part of your learning journey, you’ll also gain access to the companion book, Mainframe to Cloud Mastery: Best Practices. This invaluable resource serves as both a guide while taking the course and a reference for implementing the concepts in your organization. The book dives deeper into the strategies and tools covered in the course, with additional insights and examples.