Tag Archives: Cloud Adoption

Accelerate large-scale modernization of .NET, mainframe, and VMware workloads using Amazon Q Developer

2025-04-16 Krishna Parab

Post Syndicated from Krishna Parab original https://aws.amazon.com/blogs/devops/accelerate-large-scale-modernization-of-net-mainframe-and-vmware-workloads-using-amazon-q-developer/

Software runs the world – not just the new software applications built in modern languages and deployed on the most optimized cloud infrastructure, but also legacy software built over years and barely understood by the teams that inherit them. These legacy applications may have snowballed into monolithic blocks or may be fragmented across siloed on-premises infrastructure. The significant maintenance, security, and compliance challenges caused can create lasting implications for business performance and competitiveness. Therefore, transformation of legacy applications using modern languages, new frameworks, and cloud services has become an organizational imperative.

Application modernization challenges

Modernization of software applications is a long and painful journey – requiring large teams of developers, domain experts, and consultants who first need to understand the application landscape, devise strategic modernization plans, and then tactically implement the plans in phases, typically over a span of many years. This process is linear, slow, and complex. Traditional labor-intensive modernization approaches incur significant costs and take years to leverage new cloud technologies and innovations for business-critical applications.

Generative AI can help with intelligent automation, domain expertise, and scalability to transform modernization journeys.

Introducing Amazon Q Developer transformation capabilities

Q Developer transformation capabilities powered by LLMs and domain-expert agents support human-agent interaction via an IDE experience for individual developers and a web experience for multifunctional teams.

Amazon Q Developer transformation capabilities

Amazon Q Developer, the most capable generative AI–powered assistant for software development, is now the first generative AI-powered assistant for large-scale modernization and migration of .NET, mainframe, and VMware workloads. This extends Q Developer’s transformation capabilities for Java upgrades launched in April 2024 to new types of workloads. Q Developer combines both foundational models and specialized tools based on AI and automated reasoning via autonomous agents that tackle workload-specific modernization steps spanning analysis, planning, and implementation.

Multifunctional teams, including consultants, IT experts, workload domain experts, and developers, can use a unified web experience to offload transformation tasks to Amazon Q Developer agents and transform hundreds of workloads at a time. The agents can port .NET Framework to cross-platform Linux-ready .NET, modernize COBOL applications on mainframes to Java applications on AWS, or virtualized workloads on VMware to scalable workloads on EC2. The modernization teams engage with Q Developer using natural language and share transformation objectives, code repositories, and context. Q Developer agents analyze artifacts like code segments, dependencies, and integrations, applying expertise from prior modernizations. They propose customized plans tailored to codebases, resource utilization, and objectives. The teams can then review, adjust, and approve the plans with iterative engagement with the agents. After the plans are approved, the agents implement the transformation keeping the modernization teams updated on milestones completed and blockers needing human guidance. The transformation journey is an interactive process between the modernization team and Q Developer, with modernization team maintaining control and visibility over the transformation.

Human team members interact with Q Developer generative AI agents using natural language chat.

Natural language chat with Q Developer AI agents

Faster, scalable, and better modernization

Amazon Q Developer enhances transformation in three primary ways – acceleration, scalability, and quality.

Amazon Q Developer automates and accelerates complex, multi-step processes. Agents conduct assessment and discovery of legacy artifacts to build documentation and dependency maps that improve the understanding of source assets. Most large-scale modernization projects are done in waves that need to be carefully planned. The agents develop modernization wave plans based on source dependencies, stated project goals, and teams can review and approve the plans. Thereafter, the goal-seeking autonomous agents handle implementation complexities to execute the plans. Customers using Amazon Q Developer can modernize Windows .NET applications to Linux up to four times faster than traditional methods and help customers realize up to 40% savings in licensing costs. Migration Planning for the sequence to transform monolith z/OS COBOL application code that takes months to accomplish with human subject matter experts, Amazon Q Developer generates in minutes. Q Developer agents convert on-premises VMware network configurations into modern AWS equivalents in hours vs. the weeks required with traditional manual approaches. The shorter time spent on manual modernization means more freedom for your team to focus on innovation.

Modernization has traditionally been a linear journey with multiple steps and dependencies on cross-functional teams with limited mechanisms for collaboration. This limits teams’ ability to tackle large-scale projects. Amazon Q Developer addresses the challenges by task parallelization and web-based collaboration. Multiple generative AI agents work simultaneously on tasks. Large monolithic applications can be decomposed along business functions like engineering, marketing, sales applications, and transformed in parallel. A unified web-based experience for large-scale transformation means multi-functional team members can collaborate with the autonomous agents, and review and approve key decisions in one place, enabling teams to execute larger and more complex projects in a given time.

Finally, the quality of transformation manifested in functional equivalence, security, and resilience of modernized applications determines the business outcomes like project ROI and operational performance. To ensure transformation quality, you need expertise in languages and frameworks like COBOL, Java, .NET; specialized steps like code base analysis, monolith decomposition, code refactoring, network translation; and domains like mainframe, virtualization, and cloud. You may not have the requisite expertise in your team. That is where Amazon Q Developer can help. Q Developer agents are trained with specific domain expertise to identify code dependencies and frameworks, replace deprecated code, upgrade to new language frameworks, incorporate security best practices, and validate upgraded workloads using workload-tailored plans. Your team can examine the agents’ recommendations, make informed decisions, and guide the modernization journey towards better outcomes like enhanced security, compliance, and performance.

Q Developer supports modernization of .NET Framework applications to cross-platform .NET applications, mainframe-based COBOL applications to Java applications on AWS, on-premises VMware workloads to workloads on EC2, and Java v8/11/17 to Java17/21.

Workloads supported by Amazon Q Developer transformation capabilities

Next steps

Amazon Q Developer transformation capabilities are now available in preview. To learn more, please visit Q Developer web page featuring short demo videos and documentation that can get you started. Read the AWS News blogs that walk you through the unified web experience and IDE experience. Dive deeper into the transformation of specific workloads by reading the workload-specific blogs related to transformation of .NET, mainframe, and VMware workloads.

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Let’s Architect! Migrating to the cloud with AWS

2024-06-27 Federica Ciuffo

Post Syndicated from Federica Ciuffo original https://aws.amazon.com/blogs/architecture/lets-architect-migrating-to-the-cloud-with-aws/

In today’s digital world, businesses are increasingly turning to the cloud for its scalability, agility, and cost-effectiveness. Migrating your data center to the cloud can be a daunting task, but with the right approach and tools, it can be a successful journey. This Let’s Architect! blog post will guide you through the process of migrating to the cloud with AWS, leveraging the proven AWS Cloud Adoption Framework (AWS CAF) and exploring valuable resources to help you navigate each step.

AWS Cloud Adoption Framework

The AWS Cloud Adoption Framework (CAF) provides a comprehensive approach to planning, designing, and deploying your cloud migration. This robust framework outlines a four-phase methodology that guides you through every stage of the process, from strategy and planning to ongoing management and optimization. Here’s a closer look at the four phases of the AWS CAF:

Envision: Identify business transformation opportunities that align with your strategic goals and demonstrate how the cloud will accelerate your business outcomes.
Align: Assess your organization’s cloud readiness by identifying capability gaps across six key perspectives (Business, People, Governance, Platform, Security, and Operations). Address these gaps by developing strategies, ensuring stakeholder alignment, and implementing relevant change management activities.
Launch: Select impactful pilot initiatives and deploy them in production. These pilots should showcase the value proposition of the cloud and provide valuable insights for further refinement.
Scale: Focus on expanding production pilots and business value to desired scale and ensuring that the business benefits associated with your cloud investments are realized and sustained.

Figure 1. The AWS CAF recommends four iterative and incremental cloud transformation phases

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Large-scale migration and modernization

Migrating a large-scale data center to the cloud requires careful planning and execution. This video session focuses on valuable lessons learned from the thousands of enterprises who have migrated and modernized their on-premises workloads with AWS. Dive deep on technical lessons learned, mental models used, how to set up teams to modernize as they migrate, and how to engage with AWS Professional Services and AWS Partners for success. Finally, you will get insights on the latest AWS migration and modernization tools.

Figure 2. Migrating to AWS Cloud unlocked major benefits for Live Nation, including a 58% cost saving

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Dive deep into different AWS DMS migration options

At the heart of any successful data migration lies a robust database migration strategy. AWS Database Migration Service (AWS DMS) empowers you with a comprehensive suite of tools to seamlessly move and replicate your data. This session explains the various options offered by AWS DMS, including logical replication, managed native methods for export, import, and replication, and bulk extract and load functionalities. Through these options, you’ll gain a thorough understanding of how to migrate and replicate your data, along with the distinct advantages of each approach. The session also explores performance considerations to ensure optimal migration efficiency. Finally, you will learn how modern capabilities like serverless technologies, auto scaling, and schema conversion can simplify migrations.

AWS DMS Schema Conversion converts your existing database schemas and a majority of the database code objects to a format compatible with the target database

FIgure 3. AWS DMS Schema Conversion converts your existing database schemas and a majority of the database code objects to a format compatible with the target database

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Application Migration with AWS

Migrating and modernizing your applications is a crucial aspect of your cloud adoption strategy. The Application Migration with AWS workshop series provides hands-on experience with planning and executing application migrations. You’ll learn practical techniques like database replatforming, application rehosting, and containerization to make your move to the cloud smooth and efficient.

Figure 4. As part of this lab, you will perform a database migration with AWS DMS

Take me to this workshop!

But the journey doesn’t end there. As your applications scale in the cloud, managing that growth becomes key. This is where infrastructure as code (IaC) comes in, and AWS CDK takes IaC a step further by allowing you to write infrastructure code in familiar programming languages you already know. This streamlines your migration by leveraging your existing coding knowledge. We recommend this AWS CDK workshop to get started with CDK for infrastructure automation.

See you next time!

Thanks for reading! With this post, we provided resources to help you navigate your cloud migration journey with confidence and success. In the next blog, we will talk about Well-Architected best practices!

To revisit any of our previous posts or explore the entire series, visit the Let’s Architect! page.

New IDC whitepaper released – Trusted Cloud: Overcoming the Tension Between Data Sovereignty and Accelerated Digital Transformation

2022-04-28 Marta Taggart

Post Syndicated from Marta Taggart original https://aws.amazon.com/blogs/security/new-idc-whitepaper-released-trusted-cloud-overcoming-the-tension-between-data-sovereignty-and-accelerated-digital-transformation/

A new International Data Corporation (IDC) whitepaper sponsored by AWS, Trusted Cloud: Overcoming the Tension Between Data Sovereignty and Accelerated Digital Transformation, examines the importance of the cloud in building the future of digital EU organizations. IDC predicts that 70% of CEOs of large European organizations will be incentivized to generate at least 40% of their revenues from digital by 2025, which means they have to accelerate their digital transformation. In a 2022 IDC survey of CEOs across Europe, 46% of European CEOs will accelerate the shift to cloud as their most strategic IT initiative in 2022.

In the whitepaper, IDC offers perspectives on how operational effectiveness, digital investment, and ultimately business growth need to be balanced with data sovereignty requirements. IDC defines data sovereignty as “a subset of digital sovereignty. It is the concept of data being subject to the laws and governance structures within the country it is collected or pertains to.”

IDC provides a perspective on some of the current discourse on cloud data sovereignty, including extraterritorial reach of foreign intelligence under national security laws, and the level of protection for individuals’ privacy in-country or with cross-border data transfer. The Schrems II decision and its implications with respect to personal data transfers between the EU and US has left many organizations grappling with how to comply with their legal requirements when transferring data outside the EU.

IDC provides the following background on controls in the cloud:

Cloud providers do not have unrestricted access to customer data in the cloud. Organizations retain all ownership and control of their data. Through credential and permission settings, the customer is the controller of who has access to their data.
Cloud providers use a rigorous set of organizational and technical controls based on least privilege to protect data from unauthorized access and inappropriate use.
Most cloud service operations, including maintenance and trouble-shooting, are fully automated. Should human access to customer data be required, it is temporary and limited to what is necessary to provide the contracted service to the customer. All access should be strictly logged, monitored, and audited to verify that activity is valid and compliant.
Technical controls such as encryption and key management assume greater importance. Encryption is considered fundamental to data protection best practices and highly recommended by regulators. Encrypted data processed in memory within hardware-based trusted execution environment (TEEs), also known as enclaves, can alleviate these regulatory concerns by rendering sensitive information invisible to host operating systems and cloud providers. The AWS Nitro System, the underlying platform that runs Amazon EC2 instances, is an industry example that provides such protection capability.
Independent accreditation against official standards are a recognized basis for assessing adherence to privacy and security practices. Approved by the European Data Protection Board, the EU Cloud Code of Conduct and CISPE’s Code of Conduct for Cloud Infrastructure Service Providers provide an accountability framework to help demonstrate compliance with processor obligations under GDPR Article 28. Whilst not required for GDPR compliance, CISPE requires accredited cloud providers to offer customers the option to retain all personal data in their customer content in the European Economic Area (EEA).
Greater data control and security is often cited as a driver to hosting data in-country. However, IDC notes that the physical location of the data has no bearing on mitigating data risk to cyber threats. Data residency can run counter to an organization’s objectives for security and resilience. More and more European organizations now are trusting the cloud for their security needs, as many organizations simply do not have the resource and expertise to provide the same security benefits as large cloud providers can.

For more information about how to translate your data sovereignty requirements into an actionable business and IT strategy, read the full IDC whitepaper Trusted Cloud: Overcoming the Tension Between Data Sovereignty and Accelerated Digital Transformation. You can also read more about AWS commitments to protect EU customers’ data on our EU data protection webpage.

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The Five Ws episode 2: Data Classification whitepaper

2021-11-01 Jana Kay

Post Syndicated from Jana Kay original https://aws.amazon.com/blogs/security/the-five-ws-episode-2-data-classification-whitepaper/

AWS whitepapers are a great way to expand your knowledge of the cloud. Authored by Amazon Web Services (AWS) and the AWS community, they provide in-depth content that often addresses specific customer situations.

We’re featuring some of our whitepapers in a new video series, The Five Ws. These short videos outline the who, what, when, where, and why of each whitepaper so you can decide whether to dig into it further.

The second whitepaper we’re featuring is Data Classification: Secure Cloud Adoption. This paper provides insight into data classification categories for organizations to consider when moving data to the cloud—and how implementing a data classification program can simplify cloud adoption and management. It outlines a process to build a data classification program, shares examples of data and the corresponding category the data may fall into, and outlines practices and models currently implemented by global first movers and early adopters. The paper also includes data classification and privacy considerations. Note: It’s important to use internationally recognized standards and frameworks when developing your own data classification rules. For more details on the Five Ws of Data Classification: Security Cloud Adoption, check out the video.

If you have feedback about this post, submit comments in the Comments section below.

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How AWS can help your US federal agency meet the executive order on improving the nation’s cybersecurity

2021-08-13 Michael Cotton

Post Syndicated from Michael Cotton original https://aws.amazon.com/blogs/security/how-aws-can-help-your-us-federal-agency-meet-the-executive-order-on-improving-the-nations-cybersecurity/

AWS can support your information security modernization program to meet the President’s Executive Order on Improving the Nation’s Cybersecurity (issued May 12^th, 2021). When working with AWS, a US federal agency gains access to resources, expertise, technology, professional services, and our AWS Partner Network (APN), which can help the agency meet the security and compliance requirements of the executive order.

For federal agencies, the Executive Order on Improving the Nation’s Cybersecurity requires an update to agency plans to prioritize cloud adoption, identify the most sensitive data and update the protections for that data, encrypt data at rest and in transit, implement multi-factor authentication, and meet expanded logging requirements. It also introduces Zero Trust Architectures and, for the first time, requires an agency to develop plans implementing Zero Trust concepts.

This post focuses on how AWS can help you plan for and accelerate cloud adoption. In the rest of the series you’ll learn how AWS offers guidance for building architectures with a Zero Trust security model, multi-factor authentication, encryption for data at-rest and in-transit, and logging capabilities required to increase visibility for security and compliance purposes.

Prioritize the adoption and use of cloud technologies

AWS has developed multiple frameworks to help you plan your migration to AWS and establish a structured, programmatic approach to AWS adoption. We provide a variety of tools, including server, data, and database features, to rapidly migrate various types of applications from on-premises to AWS. The following lists include links and helpful information regarding the ways AWS can help accelerate your cloud adoption.

Planning tools

AWS Cloud Adoption Framework (AWS CAF) – We developed the AWS CAF to assist your organization in developing and implementing efficient and effective plans for cloud adoption. The guidance and best practices provided by the framework help you build a comprehensive approach to cloud computing across your organization, and throughout the IT lifecycle. Using the AWS CAF will help you realize measurable business benefits from cloud adoption faster, and with less risk.
Migration Evaluator – You can build a data-driven business case for your cloud adoption on AWS by using our Migration Evaluator (formerly TSO Logic) to gain access to insights and help accelerate decision-making for migration to AWS.
AWS Migration Acceleration Program – This program assists your organization with migrating to the cloud by providing you training, professional services, and service credits to streamline your migration, helping your agency more quickly decommission legacy hardware, software, and data centers.

AWS services and technologies for migration

AWS Application Migration Service (AWS MGN) – This service allows you to replicate entire servers to AWS using block-level replication, performs tests to verify the migration, and executes the cutover to AWS. This is the simplest and fastest method to migrate to AWS.
AWS CloudEndure Migration Factory Solution – This solution enables you to replicate entire servers to AWS using block-level replication and executes the cutover to AWS. This solution is designed to coordinate and automate manual processes for large-scale migrations involving a substantial number of servers.
AWS Server Migration Service – This is an agentless service that automates the migration of your on-premises VMware vSphere, Microsoft Hyper-V/SCVMM, and Azure virtual machines to AWS. It replicates existing servers as Amazon Machine Images (AMIs), enabling you to transition more quickly and easily to AWS.
AWS Database Migration Service – This service automates replication of your on-premises databases to AWS, making it much easier for you to migrate large and complex applications to AWS with minimal downtime.
AWS DataSync – This is an online data transfer service that simplifies, automates, and accelerates moving your data between on-premises storage systems and AWS.
VMware Cloud on AWS – This service simplifies and speeds up your migration to AWS by enabling your agency to use the same VMware Cloud Foundation technologies across your on-premises environments and in the AWS Cloud. VMware workloads running on AWS have access to more than 200 AWS services, making it easier to move and modernize applications without having to purchase new hardware, rewrite applications, or modify your operations.
AWS Snow Family – These services provide devices that can physically transport exabytes of data into and out of AWS. These devices are fully encrypted and integrate with AWS security, monitoring, storage management, and computing capabilities to help accelerate your migration of large data sets to AWS.

AWS Professional Services

AWS Professional Services – Use the AWS Cloud to more effectively reach your constituents and better achieve your core mission. This is a global team of experts that can help you realize your desired business outcomes when using the AWS Cloud. Each offering delivers a set of activities, best practices, and documentation reflecting our experience supporting hundreds of customers in their journey to the AWS Cloud.

AWS Partners

AWS Government Competency Partners – This page identifies partners who have demonstrated their ability to help government customers accelerate their migration of applications and legacy infrastructure to AWS.

AWS has solutions and partners to assist in your planning and accelerating your migration to the cloud. We can help you develop integrated, cost-effective solutions to help secure your environment and implement the executive order requirements. In short, AWS is ready to help you meet the accelerated timeline goals set in this executive order.

Next steps

For further reading, see the blog post Zero Trust architectures: An AWS perspective, and to learn more about how AWS can help you meet the requirements of the executive order, see the other post in this series:

How US federal agencies can use AWS to improve logging and log retention

If you have feedback about this post, submit comments in the Comments section below.

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Application modernization challenges

Introducing Amazon Q Developer transformation capabilities

Faster, scalable, and better modernization

Next steps

See you next time!

Prioritize the adoption and use of cloud technologies

Planning tools

AWS services and technologies for migration

AWS Professional Services

AWS Partners

Next steps

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