Latest news with #cloudmigration
Al Bawaba
2 days ago
- Business
- Al Bawaba
NetApp Accelerates VMware Migrations with Amazon Elastic VMware Service Integration
NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, today announced that Amazon FSx for NetApp ONTAP® is now a supported external storage option for Amazon Elastic VMware Service (Amazon EVS) on Amazon Web Services (AWS). Amazon EVS, now generally available, is a new AWS service that allows users to run VMware Cloud Foundation (VCF) directly within their Amazon Virtual Private Cloud (Amazon VPC), alongside other applications. With Amazon EVS, organizations can quickly migrate VMware workloads to AWS to seamlessly extend and expand their VMware environments and unlock business agility and integration with Amazon EVS combines NetApp's proven, secure data management and protection capabilities with AWS's scale, resilience, and performance, allowing customers to simplify and accelerate their AWS migration without re-platforming or re-factoring their existing applications or changing their data management mission critical workloads to the cloud can help businesses drive transformation by eliminating aging infrastructure, reducing operational costs, and meeting critical business timelines, but they need an effective data strategy to avoid introducing new challenges such as unexpected costs, sprawling IT environments, and fragmented services. As the only enterprise storage solution provider with a first-party data storage service natively built on AWS, NetApp is uniquely equipped to help customers accelerate modern workloads in the cloud by offering enterprise storage solutions natively built on AWS. Customers have been able to reduce costs by 50 percent after adopting Amazon FSx for NetApp ONTAP®. Using FSx for ONTAP to migrate and manage their VMware environments enables customers to leverage Intelligent Data Infrastructure to improve migration planning and decrease total cost of ownership with built-in data management capabilities.'Customers utilizing Amazon EVS with FSx for ONTAP can now enjoy the same data efficiency, protection, and automation they trust on-premises,' said Pravjit Tiwana, Senior Vice President and General Manager, Cloud Storage at NetApp. 'Through our collaboration with AWS, we're making it easier to move critical workloads to the cloud and manage them at scale.'To better support customers as they manage advanced workloads in the cloud, NetApp has released capabilities including:• Amazon FSx for NetApp ONTAP support for Amazon EVS: Amazon EVS, the new self-managed cloud solution for VMware from AWS, is now generally available, and FSx for NetApp ONTAP is a supported storage option. Amazon EVS automates and simplifies deployments and provides a ready-to-use VCF environment on AWS. This allows VMware administrators to quickly migrate VMware-based virtual machines to AWS using the same VCF software and tools they already use in their on-premises environment. Using FSx for ONTAP as external storage for the Amazon EVS environment reduces overhead by providing advanced data management and protection functionality, reducing total cost of ownership and increasing cyber resiliency.• Migration advisor for Amazon EVS workloads: The migration advisor feature of BlueXP workload factory for AWS now supports Amazon EVS workloads, helping simplify and speed up migration processes. Customers can now automate the discovery of on-premises virtual machines, provisioning of FSx for ONTAP, and placement of datastores in Amazon EVS.• Expanded VMware disaster recovery support in BlueXP: BlueXP disaster recovery for VMware now integrates with Amazon EVS, leveraging FSx for ONTAP storage as a reliable disaster recovery target. Supported datastore options include NFS (file-based) and VMFS (block-based) via the iSCSI protocol, ensuring versatile and efficient disaster recovery solutions.• Enhanced ransomware protection features: Further enabling customers to protect Amazon EVS workloads, NetApp ONTAP autonomous ransomware protection (ARP) for FSx for ONTAP is used to detect and respond to ransomware events in real time. Additionally, NetApp BlueXP ransomware protection service supports FSx for ONTAP to help customers with comprehensive orchestration of their defense against ransomware events. Enabling these features to support workloads natively in AWS helps protect customer data and minimize downtime by proactively detecting ransomware at the storage layer across the hybrid a NetApp Preferred Partner and an AWS partner, believes these latest announcements will come as good news to businesses looking to migrate VMware workloads to public cloud. 'Enabling support for FSx for ONTAP on Amazon EVS gives customers more granular control over the data powering some of their most important workloads,' said Robin Gardner, CCO at Xtravirt. 'Customers will be able access NetApp's advanced data management functionality to reduce the overhead of managing virtual environments and more efficiently and securely manage hybrid deployments.' No ransomware detection or prevention system can completely guarantee safety from a ransomware attack. Although it's possible that an attack might go undetected, NetApp technology acts as an important additional layer of defense.
Associated Press
23-07-2025
- Business
- Associated Press
H1 2025: Ennov accelerates growth, reimagines future for longstanding clients
Ennov scales AI in its unified GxP platform update, transitions a first InSight client to it, and delivers a seamless cloud migration for all InSight clients. PARIS, FRANCE, July 23, 2025 / / -- Ennov, the fast-rising unified GxP platform provider for Life Sciences, today unveiled key milestones reached in the first half of 2025. Building on a strategy set over a year ago by its internal research lab, the company has significantly expanded the use of AI and NLP across its GxP platform—now active in Regulatory and Quality, with pilots launched in PV and Clinical domains. Another significant milestone was achieved in the first quarter with the successful and timely completion of the Transition Services Agreement (TSA), which supported the transfer of operations following Ennov's acquisition of Calyx ET's business. A crucial part of this transition—the seamless relocation of customers, including several of the world's Top 5 life sciences companies, to the Ennov Cloud—was executed flawlessly. The strategy is already demonstrating its strength, with sales up by double digits compared to the same period last year. Longtime customers are securing their future with Ennov. One of the world's top‑30 pharmaceutical companies—and a longstanding InSight client—has decisively switched all regulatory operations to the Ennov platform, supplanting the industry's leading EDMS solution. AI at Scale: From Vision to Execution In the first quarter, Ennov released version 10.4 of its unified GxP platform, marking a significant step forward in the deployment of embedded AI and NLP technologies. This latest version extends intelligent automation to the Quality domain—particularly in user training—and to Regulatory processes, with a focus on eCTD management. Additionally, version 10.4 introduces new AI-powered use cases in the Pharmacovigilance and Clinical domains, further strengthening Ennov's commitment to delivering tangible value across the GxP lifecycle. Ennov is currently the only GxP platform to offer AI natively embedded into daily operations. Thanks to its unified architecture, AI is integrated at the core of the platform and seamlessly powers all solutions built on top of it. On-Time TSA Completion with Calyx ET Reflects Seamless Integration and Operational Excellence Following the acquisition of Calyx ET's division exactly one year ago, the Transition Service Agreement (TSA) was scheduled for completion by the end of Q1. Ennov is pleased to report that, despite its ambitious scope, this objective was not only met but also delivered ahead of schedule. The TSA encompassed several key areas, including the transition of internal IT systems and, most notably, the migration of all clients to Ennov's Cloud platform. After nine months of intensive effort—totaling over 15,000 person-days—and alongside the migration of internal mailboxes, productivity tools, and devices, Ennov successfully executed for its clients the migration of 1,000 servers, the transfer of 1 PB of disk data, synchronization of over 40 TB with client systems, and the consolidation of 230 databases. Meeting Client Expectations with Long-Term, Budget-Conscious Solutions Following a 16% surge in Q1 order intake year-over-year, Ennov is confident that 2025 will sustain its five-year momentum. The overall Ennov business has achieved an average annual growth rate of 20% over the past five years, generating €58.4M in revenue in 2024. This success reflects the market's growing demand for a unified, end-to-end GxP solution that is both more streamlined and cost-effective than those available in recent years. Ennov presents a clear and reassuring long-term vision for InSight customers, formerly served by Calyx. In June 2025, Ennov celebrated a significant milestone: the first decision among these clients to migrate all their regulatory solutions—including registration tracking, publishing, and document management previously handled by Veeva—to the Ennov platform. About Ennov With over 25 years of innovation, Ennov delivers user-friendly, powerful software supporting the entire Life Sciences R&D continuum—Clinical, Regulatory, Quality, Pharmacovigilance, and Commercial functions. These diverse solutions are all built on a single, unified GxP compliance platform, sharing core components—such as document management, workflows, advanced data, analytics, and AI—to ensure seamless interoperability and eliminate silos. Supported by a team of approximately 450 professionals across five countries on five continents, Ennov combines global reach with local expertise to serve its clients effectively. Our operational excellence is evident in our 98.5% on-time delivery rate, 96% maintenance renewal rate, and consistently high user adoption, all powered by the seamless, unified experience of our platform. We proudly hold ISO/IEC 27001 and ISO 9001:2015 certifications and maintain a 100% customer audit success rate, reflecting our unwavering commitment to security and quality. Recognized by Gartner® across key domains—EDM, RIM, Pharmacovigilance, and eTMF—we stand as a global innovator. Laure Bros Ennov [email protected] Legal Disclaimer: EIN Presswire provides this news content 'as is' without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Yahoo
09-07-2025
- Business
- Yahoo
Platformr and ClearScale Announce Strategic Partnership to Accelerate AWS Migration and Modernization
BEND, Ore., July 9, 2025 /PRNewswire/ -- Platformr, a leading AWS cloud management solution, and ClearScale, an AWS Premier Consulting Partner, today announced a strategic partnership designed to transform how organizations migrate to and modernize on Amazon Web Services (AWS). The collaboration aims to eliminate the complexity, cost, and inefficiency traditionally associated with cloud transformation by combining Platformr's CloudOps automation capabilities with ClearScale's deep AWS expertise. By integrating Platformr as an AWS CloudOps accelerator tool into ClearScale's end-to-end cloud services, the partnership transforms expensive, labor-intensive migration and modernization efforts into automated, cost-effective, repeatable wins. Customers can now expect to cut project timelines from months to days and scale rapidly with an expertly-managed AWS Organization aligned with best practices for security, compliance, reliability, and cost management. The joint solution empowers organizations to fully leverage advanced AWS technologies and tools. Instead of dedicating valuable resources to maintaining and managing AWS infrastructure, companies can now shift their focus to designing and innovating the solutions that increase time-to-value and maximize their cloud investment. "Our mission at Platformr is to simplify and accelerate AWS migration and modernization for organizations of all sizes. By partnering with ClearScale, we're enabling customers to move to AWS faster and more securely than ever before, turning what used to be months-long, resource-draining projects into streamlined, automated successes," said Ryan Comingdeer, CEO of Platformr. "ClearScale is committed to delivering exceptional business outcomes, and this partnership with Platformr takes that commitment to the next level," said Matt Stoyka, CEO of ClearScale. "By leveraging Platformr, we can do more for our customers, giving them a faster, more reliable, and cost-effective path to AWS and collaborating with them to build and evolve their business." About PlatformrPlatformr is a cloud management platform that automates AWS CloudOps to deliver a secure, scalable cloud foundation for managing multiple accounts and operating confidently at scale. In less than an hour, Platformr configures and deploys an AWS framework aligned with well-architected best practices that centralizes cloud operations, access management, and visibility while ensuring improved cloud governance and operational efficiency. Trusted by businesses seeking to maximize the benefits of AWS with minimal risk and effort, Platformr empowers organizations to scale rapidly, reduce operational overhead, and focus on innovation rather than infrastructure. Learn more at and follow Platformr on LinkedIn. About ClearScaleClearScale, an all-in AWS Premier Tier Services Partner, delivers award-winning experience and expertise across AWS industries and competencies, empowering business leaders to create clear business value at speed and scale. Our core service areas include AWS Migration & Modernization, Cloud-Native Application Development, Infrastructure & DevOps Modernization, Data Modernization & Analytics, Application Modernization, Artificial Intelligence & MLOps, and Generative AI. For more information, visit and follow us on LinkedIn. For media inquiries, please contact: Platformr Media RelationsJennifer ClearScale Media Relations1-800-591-0442info@ View original content to download multimedia: SOURCE Platformr Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
09-07-2025
- Business
- Forbes
Best Practices: AI-Powered Code Translation In Cloud Migration
Chetan Mathur is CEO of Next Pathway, the Automated Cloud Migration company. Cloud migration has shifted from a question of "if" to one of "how fast and how well." For today's enterprise leaders, the true differentiator is not just reaching the cloud, but doing so with efficiency, predictability and readiness for an AI-powered future. As digital transformation accelerates, automation of code translation and, in particular, AI-driven code translation, has emerged as a critical enabler for organizations seeking to modernize at scale. The New Imperative: Modernize At Speed Legacy data warehouses and applications, often built on platforms like Teradata or SQL Server with complex data pipelines, pose significant complexity. These systems can contain millions of lines of code, intricate data dependencies and deeply embedded business logic developed over decades. Traditionally, translating this code for cloud-native platforms has been a manual, error-prone process that can stall transformation and exhaust valuable resources. That landscape is rapidly changing. AI-powered code translation and automation now enable organizations to accelerate migrations, minimize risk and achieve rapid cutovers, unlocking the full potential of the cloud and AI. How AI And Automation Are Transforming Migration Modern automation platforms, powered by generative AI, can analyze legacy code, translate it for cloud environments such as Snowflake or AWS and optimize it for performance and compliance. These tools handle SQL, ETL, stored procedures and complex data pipelines, reducing manual effort and compressing migration timelines from years to months or even weeks. (Disclosure: My company, Next Pathway, has a partnership with AWS and Snowflake.) In practice, AI-driven translation platforms ingest legacy codebases, parse and map logic to cloud-native constructs and automatically generate target code. Machine learning models, trained on millions of lines of code, enable these platforms to recognize patterns, optimize queries and suggest architectural improvements. Automated validation and testing frameworks further ensure that translated code is functionally accurate and high-performing in its new environment. According to Forrester, organizations adopting AI-driven automation in cloud migration are achieving faster transitions, greater agility and improved operational efficiency—key advantages for enterprises modernizing at scale. Real-World Proof: Automation In Action Danske Bank, one of Europe's largest financial institutions, migrated 16,600 servers and 25 PB of data to AWS using hyper automation. Automation cut the migration timeline in half, reduced costs by 50% and replaced weeks of manual runbook creation with seconds, enabling rapid, secure and large-scale cloud adoption. Micron migrated 500 TB of data from a legacy data warehouse to Snowflake. Automation was central to the process, enabling rapid data ingestion, transformation and analytics, unlocking new business insights and accelerating scientific innovation. WHOOP transitioned from a legacy data warehouse to Snowflake in just three months. Automation and Snowflake's managed services enabled rapid migration, improved governance and eliminated resource contention, supporting business growth and innovation. Nomura Research Institute leveraged AWS Transform's agentic AI to automate the analysis, documentation and code translation of millions of lines of mainframe COBOL and JCL. This AI-driven approach reduced code analysis and migration time from months to weeks, enabling rapid, accurate modernization with minimal manual effort. Best Practices For AI-Powered Cloud Migration AI-driven automation is transforming cloud migration from a technical hurdle into a strategic opportunity. Here's how leading organizations are rethinking their approach: Start with a sharp focus on business impact. Map migration priorities to outcomes such as accelerating innovation, enabling real-time analytics or supporting new digital business models. This ensures every decision is guided by measurable value and enterprise-wide alignment. Manual processes cannot keep pace with today's complexity. AI-powered crawler systems provide deep visibility into legacy environments, surfacing hidden dependencies and risks. Automated translation and orchestration accelerate timelines and preserve critical business logic. Integrating automated quality assurance (QA) testing throughout ensures accuracy, security and performance before cutover. Break migration into manageable phases to minimize business disruption and risk. Start by automating the migration of pilot workloads to validate your approach and processes. Once your automated approach is proven, progressively migrate larger and more complex workloads in subsequent phases. This structured strategy helps meet critical deadlines and ensures business continuity throughout the migration journey. Automated, continuous testing validates data accuracy and application performance at every stage. Real-time monitoring provides immediate feedback, helping teams address issues proactively and maintain high standards of security and compliance. Invest in training and foster cross-functional collaboration. Empowering teams to work with cloud-native and AI-driven tools ensures your organization can fully leverage new capabilities and sustain innovation over time. By approaching migration as a strategic enabler, organizations can achieve agility, resilience and innovation while minimizing disruption. This positions them to lead in an AI-powered future. Conclusion AI-powered code translation is more than a technical breakthrough—it's a strategic imperative. Enterprises that seize this capability will not only accelerate their migrations, but will also unlock the agility, resilience and innovation required to lead in the AI-driven future. The organizations that act now will shape the standards and set the pace for digital transformation in their industries. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Fast Company
07-07-2025
- Business
- Fast Company
Cloud migrations, driven by data and AI, are back on the drawing board
It's still early days, but we are obviously witnessing the burgeoning impact that artificial intelligence (AI) is having in many areas of business. This AI-fueled progress may have a related effect—it could prompt more organizations to initiate cloud migrations. You may be thinking, 'Been there, done that.' And while it's true that the cloud model has served businesses well for more than 20 years, there's still a lot of room to grow. By some estimates, the cloud market is on pace to surpass $1 trillion within the next few years. Here's why I'm convinced that AI will help drive this continued momentum. At the top of the list: The advantages of the cloud model are as compelling as ever, especially with AI. Cloud services deliver the most up-to-date tools and technologies, speed of development, and cost flexibility—all of which are essential to organizations shifting their AI initiatives into higher gear. But it's more than that. Many of the latest and greatest AI capabilities—large language models, generative AI (GenAI), and, more recently, agentic AI—are cloud-native by design. Organizations that want to implement those leading-edge technologies and integrate them into their own applications and operations will find it faster and easier to do so if their data and AI infrastructure are in the cloud. One of the biggest motivators behind cloud migration is data readiness. AI requires accurate, well-managed data, both from outside sources and a company's own private data. Agentic AI raises the bar. Consider that today's newly emerging AI agents are capable of reasoning and taking actions autonomously. Business leaders can not afford to have bad customer experiences or employee missteps as a result of agents running on off-target data. Even a 1% error rate means trouble because it can lead to repeated mistakes. For example, one global biopharmaceutical company took a big step forward by migrating 96% of its data to the cloud. With modern infrastructure, the company has been able to perform clinical trials faster, reduce IT costs, and improve team productivity by 40%. This also laid the foundation for them to integrate AI-powered capabilities in areas like drug development. With clean, well-governed data readily accessible, the company is better equipped to leverage AI responsibly, including agentic AI systems that require data precision. MORE THAN STORAGE AND INFRASTRUCTURE Another potential driver of cloud migration is that AI-powered data management can automate and accelerate the development of data pipelines. Today, the tools and platforms to do this most effectively are cloud-based. Everything from data quality to integration and governance can be ushered along with speed and efficiency using ChatGPT-like GenAI copilots and agents. In other words, cloud migration is about more than storage and infrastructure. Think of it in terms of AI agility. In the cloud, developers and tech teams can build, test, and deliver at the speed of business. A note about speed: Nothing is moving faster than agentic AI. A simple three-step readiness plan is to identify early use cases for AI agents, prepare the data, and ensure that the infrastructure can meet and exceed your performance criteria. Cloud computing, which scales on demand, may be the best option. I'm bullish about this trend, but realistic. Not every business application or workload can be immediately moved to the cloud. Some organizations, particularly in regulated industries, may face data residency or other governance requirements. The good news is that they may still be able to use cloud tools for data preparation, even when their databases and storage systems are located on premises, making many of the advantages still available. One stopper that sometimes stands in the way of modernization is legacy architecture. Some businesses continue to extend the life of systems that may be 10 to 20 years old (or more!). At some point, however, the law of diminishing returns comes into play. What's gained by keeping those tried-and-true systems running may come at the expense of business innovation. CIOs and CTOs seldom go all-in on the cloud in one fell swoop. Migrations typically happen as a matter of priority, one application, workload, or data center at a time. Now, with GenAI and agentic AI projects increasingly moving from proof of concept to enterprise deployment, the business case for another round of cloud migrations is getting stronger.
