AWS Mainframe Modernization Replatform with Micro Focus Getting Started

AWS Mainframe Modernization Replatform with Micro Focus transforms legacy mainframe business applications. Businesses can scale their systems and procedures while enhancing their flexibility and agility. The tools also streamline the replatforming process while minimizing disruptions to operations. Course level: Fundamental Duration: 60 minutes Activities This course includes architecture overview and demonstrations. Course objectives In this course, you will learn to do the following: Understand the functionality and key components of AWS Replatform with Micro Focus Understand how AWS Replatform with Micro Focus works. Explain technical architecture and key use cases of AWS Replatform with Micro Focus. Examine the cost structure of AWS Replatform with Micro Focus. Intended audience This course is intended for the following job roles: Mainframe practitioners and specialists Mainframe developers Solution architects Prerequisites We recommend that attendees of this course have the following prerequisites: A minimum of 2 years of mainframe development, administration, and architecture experience Course outline Section 1: Introduction Module 1: Introduction to AWS Mainframe Modernization Replatform with Micro Focus Module 2: Architecture and Use Cases Section 2: Using AWS Mainframe Modernization Replatform with Micro Focus Module 3: How Can I Create Runtime and Deploy an Application? Module 4: How Do I Verify an Application Using a TN3270 Emulator? Module 5: How Do I Delete My Environment? Section 3: Resources Module 6: Learn More Module 7: Contact Us

AWS Migration Evaluator Getting Started

Course description Migration Evaluator quickly delivers optimized cost-modeling scenarios for your workloads on Amazon Web Services (AWS). It simplifies on-premises analysis of compute, local storage, memory, and Microsoft licenses. Migration Evaluator algorithmically helps you determine the best-fit, lowest-cost placement for each workload. Learn the value of Migration Evaluator and how we can assist you in building your business case for the AWS Cloud. – Course level: Fundamental – Duration: 45 minutes Activities This course includes presentations, demonstrations, videos, and assessments. Course objectives In this course, you will learn to: – Identify savings when migrating to AWS using Migration Evaluator – Understand the architecture, use cases, methodologies and deliverables – Navigate and use the Migration Evaluator console to explore collected data Intended audience This course is intended for: – Customers, Partners and Amazonians in development and specialist teams with an interest in migrations Prerequisites We recommend that attendees of this course have: – None  Course outline Module 1: Introduction to Migration Evaluator – How Migration Evaluator works. – Which problems Migration Evaluator solves – What are the benefits of Migration Evaluator – Migration Evaluator pricing information Module 2: Architecture and Use Cases – How to define the technical concepts of Migration Evaluator – How to identify typical use cases for Migration Evaluator – How to specify the requirements to implement Migration Evaluator in a real-world scenario Module 3: How to Use the Migration Evaluator Console – How to navigate the Migration Evaluator console – What is the Migration Evaluator Business Case – How to explore collected data Module 1 description Overview of the Migration Evaluator assessment, it’s benefits and the problems it solves. Module 2 description Overview of the architecture and most common Migration Evaluator use cases. Module 3 description Overview of the Migration Evaluator Console, data collection and exploration of collected data. Additional resources about Migration Evaluator.

Mainframe Modernization Patterns and Best Practices

Course description There are many ways to modernize mainframe workloads on Amazon Web Services (AWS). This course helps you identify and apply patterns of the AWS Mainframe Modernization, and also provides best practices for successful mainframe modernization project implementation. – Course level: Fundamental – Duration: 60 minutes Activities This course includes presentations and assessments. Course objectives In this course, you will learn to: – Differentiate between the four short-term migration and modernization patterns and the two most popular approaches. – Explain hardware emulator rehosting, mainframe compatible replatforming, mainframe automated refactoring, and modern middleware replatforming. – Explain mainframe data analytics, new channels and functions, development and testing, and backup and archival storage augmentation patterns. – List the nine best practices for successful project implementation. Intended audience This course is intended for: – Customers – Partners – Amazonians Prerequisites We recommend that attendees of this course have: – Fundamental level understanding of mainframes – Fundamental level understanding of AWS Cloud Course outline Introduction Mainframe Modernization Patterns Short-Term Mainframe Migration and Modernization Patterns Short-Term Migration and Modernization Deeper Dive Mainframe Augmentation Patterns Deeper Dive Best Practices Summary

Approach to Mainframe Migration and Modernization

Mainframe workloads often lack the agility needed to deploy new business functions and their technical complexity slows down development. This course provides you with the most common mainframe modernization drivers and an understanding of the key approaches to mainframe modernization using the three phases of migration (Assess, Mobilize, and Migrate and Modernize). • Course level: Fundamental • Duration: 60 minutes Activities This course includes presentations and assessments. Course objectives In this course, you will learn the following: • Common mainframe modernization drivers • The AWS value proposition for mainframe workloads • The AWS Mainframe Modernization Approach • The Migration Acceleration Program (MAP) methodology • Workload-by-workload migration process Intended audience This course is intended for: • Customers • Partners • Amazonians Prerequisites We recommend that attendees of this course have: • Fundamental level understanding of mainframes • Fundamental level understanding of the AWS Cloud Course outline • Introduction • AWS Mainframe Modernization Approach • MAP Overview • Assess Phase • Mobilize Phase • Migrate and Modernize Phase • Large Mainframe Workload-by-Workload Migration • Summary

AWS Application Migration Service (AWS MGN) – A Technical Introduction

In this course, you will learn key concepts, basic architecture, and implementation approaches for AWS Application Migration Service. A step-by-step walk-through guides you in the entire process of performing a migration with the service. This training is recommended if you are actively working on migration projects with Application Migration Service or assisting customers in doing so. • Course level: Fundamental • Duration: 2 hours Activities This course includes presentations, hands-on training, and demo videos. Course objectives In this course, you will learn to: • Describe the benefits of migrating to the AWS Cloud using Application Migration Service. • Define terminology and basic concepts. • Describe the keys to a successful implementation. • Configure Application Migration Service to set up initial and continuous data replication. • Perform necessary steps to migrate using the service. Intended audience This course is intended for: • Solutions architects and engineers who perform cloud migrations • IT project managers who are involved in helping migrate existing workloads to the AWS Cloud • Individuals who are part of an organization’s Cloud Center of Excellence (CCoE) Prerequisites 1. None Course outline • Introduction to AWS Application Migration Service • Preparing for Migration • Migrating Your System • Post-Migration • Resources and Conclusion

Getting Started with Migration Hub Refactor Spaces

Are you ready to fast-track application refactoring? AWS Migration Hub Refactor Spaces is the new starting point for incremental app refactoring. Refactor Spaces can help reduce the business risk of evolving applications into microservices or extending existing applications with new features written in microservices. In this course, you will learn the benefits, use cases, and technical concepts of Refactor Spaces. You will have an opportunity to see the demonstration using the AWS Management Console. • Course level: Fundamental • Duration: 1 hour Activities This course includes presentations, architecture, and a demonstration with the option to follow along. Course objectives In this course, you will learn to: • Understand how Refactor Spaces works. • Familiarize yourself with the technical concepts to reduce the complexity of refactoring monoliths using the Strangler Fig pattern. • Explain architecture and use cases for Refactor Spaces. • Specify what it would take to refactor an application in a real-world scenario. • Recognize the benefits and explain the cost structure of Refactor Spaces. • Use Refactor Spaces from the AWS Management Console. Intended audience This course is intended for: • Developers • Solutions architects Prerequisites 1-plus years of development and architecture experience Course outline • Introduction to AWS Migration Hub Refactor Spaces • Using Refactor Spaces to Architect a Cloud Solution

Introduction to Cloud Adoption Framework

This is a digital, introductory level course that will provide an overview of the AWS Cloud Adoption Framework (CAF) and how it is used to accelerate cloud transformation journeys. You will learn about the AWS CAF 3.0 structure and how it can guide successful cloud transformation. Learners can expect to leave this course with a mental model for how customers experience their journey to the cloud and next steps to participating in hand-on workshops to enable transformation. Course level: Fundamental Duration: 45 minutes Est. Activities This course includes videos, interactive elements, knowledge checks, and additional resources to continue learning. Course objectives In this course, you will learn to: • Articulate the goals and benefits of AWS CAF • Recognize AWS CAF structure and components • Identify core perspectives and how their capabilities will be impacted by cloud adoption • Describe AWS CAF implementation phases and corresponding workshops Intended audience This course is intended for: • Internal Amazonians, AWS Partners, and external customers • Learners may have backgrounds ranging from sales, business, technology, or operations. • Non-technical business professionals • Solutions architects Prerequisites We recommend enrollees have: • Basic understanding of the value of AWS services

Migration & Transfer

This is a digital, introductory level course that will provide an overview of the AWS Cloud Adoption Framework (CAF) and how it is used to accelerate cloud transformation journeys. You will learn about the AWS CAF 3.0 structure and how it can guide successful cloud transformation. Learners can expect to leave this course with a mental model for how customers experience their journey to the cloud and next steps to participating in hand-on workshops to enable transformation. •Course level: Fundamental •Duration: 45 minutes Est. Activities: This course includes videos, interactive elements, knowledge checks, and additional resources to continue learning. Course objectives: In this course, you will learn to: •Articulate the goals and benefits of AWS CAF •Recognize AWS CAF structure and components •Identify core perspectives and how their capabilities will be impacted by cloud adoption •Describe AWS CAF implementation phases and corresponding workshops Intended audience: This course is intended for: •Internal Amazonians, AWS Partners, and external customers •Learners may have backgrounds ranging from sales, business, technology, or operations. •Non-technical business professionals •Solutions architects Prerequisites: We recommend enrollees have: •Basic understanding of the value of AWS services

Amazon Quantum Ledger Database (QLDB) Service Introduction

This course introduces you to Amazon Quantum Ledger Database (QLDB), the service that provides a graph database for AWS customers. This course introduces you to the service and its core features and capabilities. Intended Audience: This course is intended for: •IT professionals •Data platform engineers •Database developers •Solutions architects Course Objectives: In this course, you will learn to: •List the purpose of the service and its function •Summarize the benefits of the service •Recall how the service works •Identify use cases for the service •Recognize how the service is billed Prerequisites: We recommend that attendees of this course have the following prerequisites: •None Delivery Method: This course is delivered through: •Digital training Duration: 10 minutes Course Outline: This course covers the following concepts: •Service Introduction