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"Renewal costs spiked from $10k to $50k." "Subscription will cost us 25x more this year." These are actual lines said by members still on VMware! The end of free and perpetual VMware licenses has led to unexpected cost increases. As a result, businesses are considering AWS migration as a solution. And you're just 6 best practices away from knowing Seamless VMware to AWS Migration 👇 🔒 To Prioritize Security - Implement AWS encryption for data in transit and at rest - Use AWS Identity and Access Management (IAM) for robust access control 💪 To Ensure Reliability - Use AWS Availability Zones for fault tolerance - Set up disaster recovery with Amazon S3 and AWS Backup ⚡Optimize Performance efficiency - Right-size resources with AWS Auto Scaling - Match workloads to appropriate EC2 instance types 💰 For Cost Management - Make use of AWS Cost Explorer for in-depth spending analysis - Implement tools like tagging resources and AWS budgets to receive visibility into spending 🌿 If Sustainability is a commitment - Reduce carbon footprint with right-sized instances - Support energy efficiency, as moving to AWS can lower your workload's carbon footprint by 88% 🌐Adopt Cloud-Native Architecture - Serverless computing with AWS Lambda - Containerize applications using Amazon ECS or EKS 💡 On these similar lines, Hemanth Vemulapalli, Solutions Architect for Migrations, and Mangesh Budkule, Sr. Solution Architect, offered a Pro tip: “You can accelerate VMware Migrations to AWS using "AWS Migration Hub Journeys," which will help you scale, enhance security, increase reliability, and improve performance with AWS' extensive global infrastructure.” Following these AWS Well-Architected best practices will help you build a more flexible, secure, and efficient cloud infrastructure and position your business for growth in the post-VMware era. Follow Simform for more insights on VMware saga and AWS updates. #aws #awsmigration #cloudmigration #awscloud #simform | Amazon Web Services (AWS)

I've ensured 100 AWS migration projects succeed. Found key reasons why migrations could fail. (This is how we solved it, and you can too) 1. Ever-changing migration plans Constantly changing your migration plan, like 'Lift and Shift', 'Re-platforming', 'Re-hosting' etc., is a red flag. This inconsistency can lead to unforeseen dependencies and legacy system issues. To mitigate this, conduct thorough application dependency mapping and discovery before planning migration phases. 2. Inconsistent migration methods In a multi-tier web application migration project, using different methods like 'Re-hosting', 'Re-platforming', and 'Refactoring' for different applications will prove inefficient. It can lead you to integration issues and performance bottlenecks. Avoid it by proper standardization, defining clear target architectures, and grouping similar applications together. 3. Ineffective escalation process In a large data warehouse migration project, you can face issues with data consistency and integrity. These technical issues need to be promptly escalated to the right team for quick resolution. As a solution, establish a strict governance structure and communication plan to ensure blockers reach the right teams promptly. 4. Late emerging migration issues While doing CRM system migration, unforeseen data migration complexities can surface late, causing delays and significant rework. To address this, implement mechanisms like early design processes, tools, and escalation paths to identify issues sooner and maintain project momentum. 5. Lack of stakeholder alignment This can usually be faced while undergoing an ERP system migration. Stakeholder buy-in can prove to be critical. Without alignment, miscommunication between the migration team and business stakeholders can lead to roadblocks. Ensure alignment early by highlighting how AWS benefits specific objectives, fostering strong support throughout the migration process. Just remember that the future is unpredictable. But if planned well, then things are manageable! In the same way, Murat Yanar, Director at Amazon Web Services (AWS), once said, “You may not be able to predict the future needs of your business precisely. But the AWS cloud provides services to meet these ever-changing demands and help you innovate flexibly and securely.” Curious to know: What’s your biggest challenge when it comes to AWS migration? #aws #database #scalability #softwareengineering #simform

We're pumped to see our name among the latest Gen AI services in the AWS Marketplace! 🎉 Our Gen AI PoC (Proof of Concept) allows you to evaluate the feasibility and impact of integrating Gen AI technologies into your existing systems. This allows you to make informed decisions about AI adoption. More than usual, we're committed to continuing to make meaningful contributions! 😊   #ai #genai #generativeai #artificialintelligence #AWS | Amit V. Singh | AWS Partners

Our previous week was super fun. Completed AWS Summit Washington, DC! Met many new tech enthusiasts. Loved answering their questions about Gen AI. And showed how to innovate faster & more securely Thanks for being there! But, if you didn’t get a chance to me, Then, DM our experts now! Ruben R., Abhinav (Abhi) Dahagam, Pete Jensen, Nic Noland, Angel Martinez ☁️ And they’d be happy to share quick insights with you! #awssummit #aws #generativeai AWS Events AWS Partners

Read this to save yourself MONTHS of pain in optimizing your AWS infrastructure 👇 (We've done the research for you) Primary requirement: Always use AWS WAFR. It is a framework that: Helps you optimize cloud architecture. Offers high-level guidance and best practices. Let’s build secure, efficient, cost-optimized applications. It includes:  ⤷ 58 questions across the six pillars.  ⤷ 314 items to evaluate your workloads.  ⤷ Risk assessment is categorized as high, medium, or low. Still unsure why it is crucial for your business? Glimpses about what you get: 1. Improved Performance: - Identifies and mitigates performance bottlenecks. - Ensures your applications run smoothly and efficiently. 2. Enhanced Security: - Helps implement robust security practices. - Protects sensitive data and reduces vulnerability. 3. Cost Savings: - Identifies cost-saving opportunities. - Optimizes resource usage and reduces waste. 4. Reliability: - Ensures your applications are resilient and recoverable. - Minimizes downtime and maintains business continuity. 5. Operational Excellence: - Streamlines processes and improves operational efficiency. - Enhances the overall user experience and satisfaction. 🔖 Save this post. And start incorporating these pillars into your architecture. You’ll surely get a stable and efficient system. Follow Simform for insights to help you build a future-proof organization with Gen AI and AWS. #awscloud #WAFR #aws #awswafr #simform Amazon Web Services (AWS)

Tech companies have this question: When is the right time to migrate to AWS? Straightforward answer: When your on-premises infrastructure is holding you back. If you need - cost efficiency - better scalability - improved performance - even more computing power Then, consider the AWS cloud. After migrating to AWS, your business can focus on innovation and strategy. NOT infrastructure. Andy Jassy, President and CEO at Amazon, puts it this way: “The democratization of tech has fundamentally changed the way businesses operate. You can’t wait for things to be perfect; it’s better to go sooner rather than later.” It is better to act now so your digital product gets the necessary resources to serve the wider community. Still thinking of why to migrate to AWS? You can expect: - 66% infrastructure cost savings - 29% increase in staff productivity  - 45% decrease in security incidents  - 43% faster time-to-market for new features Here’s a quick look at how your strategic approach to migrating to AWS should be: 1. Assess Current Infrastructure: Evaluate your existing systems, applications, and workloads. 2. Design the AWS "Landing Zone": Create a secure and scalable foundation for your AWS environment. 3. Execute Migration using the "7 R's" strategy: Rehost, Relocate, Replatform, Refactor, Repurchase, Retire, Retain. 4. Test and Validate: Ensure all migrated systems function correctly in the new environment. 5. Optimize Post-Migration: Improve your AWS setup for performance and cost-efficiency. After migrating to the AWS cloud, you’ll stop facing the problems of your infrastructure not aligning with your business goals, and you’ll get a scalable and robust system while paying only what you use! Found this useful? Follow Simform for such AWS insights. #aws #cloudmigration #awscloud #awsmigration #simform | Amazon Web Services (AWS)

Just days after Broadcom's acquisition, VMware costs are skyrocketing 3X to 15X! Here's how you can navigate this seismic shift:  A snippet of backstory 👇 - Perpetual licensing: Phased out - Free ESXi hypervisor: Discontinued - VMware Partner Program: Terminated So, businesses can face these 5 challenges: (...this is how to solve everything) ⚠️ Cost and Complexity ✔️ Leverage AWS's pay-as-you-go model and the Migration Acceleration Program (MAP) to cut infrastructure costs and simplify migration. ⚠️ Lack of Cloud Skills ✔️ Close skills gaps and upskill your workforce cost-effectively with AWS's training programs and service credits. ⚠️ Security and Scalability ✔️ Ensure security and high availability with AWS's robust infrastructure, encryption, compliance standards, and scalable services like Auto Scaling. As Adam Selipsky, Former CEO of Amazon Web Services, puts it, "The AWS global infrastructure spans 32 geographic regions around the world. Each and every region consists of three or more availability zones." ⚠️ Support Concerns ✔️ Choose the right AWS support plan to access engineers, account managers, and knowledge resources ⚠️ Integration Challenges ✔️ Facilitate smooth on-premises integration with AWS services like Direct Connect and Database Migration Service BOTTOMLINE By migrating to Amazon Web Services (AWS), you can build a more flexible, secure, and efficient cloud infrastructure without losing money on irrelevant areas. This will position your business for future growth and innovation in the post-Broadcom era. Follow Simform for more updates on the VMware saga. #vmware #awsmigration #cloudmigration #cloudengineering #simform

3 out of 10 healthcare organizations face challenges ensuring data privacy and security while adopting Gen AI. Here are some ways to solve this: - Implement access controls that restrict who can modify AI-generated materials. - Encrypt patient data used to train AI models and avoid privacy breaches. - Continuously monitor AI outputs for potential biases or harmful content. All these will help you mitigate risks while utilizing Gen AI’s potential. But you need to be careful. Because the right strategy depends on your specific use case and how things unfold. Our expert team will discuss this more at the AWS Summit DC. Visit us at booth #K25 or book a 30-minute chat here:  https://lnkd.in/daM6dpK8 #awssummit #aws #generativeai #Techevents | AWS Events

An outage that cost $80 million in fines. And the culprit was? A legacy system. But there’s more to it. The real issue came from insufficient change controls. Let's go through some key moments of the story. This is about the Swedbank outage.  A major outage hit in April 2022.  Caused by unapproved changes in their IT systems. This disrupted nearly 1 million customers — leaving them unable to make any transactions. Now, let’s see what technically went wrong. Swedbank made a manual change to its legacy COBOL mainframe transaction system to follow EU sanctions. Yet, they didn't follow their change management process. This caused routine payments to be flagged incorrectly, leading to widespread transaction failures and account errors. The outage delayed batch payments for ledgers, duplicated cash deposits, and overwhelmed service channels. The situation worsened as: - Support was overwhelmed with calls and messages, - 2.1 million Bank Giro payments were delayed, - and account balance errors occurred. Days passed before the team could identify the issue. The primary reason? System complexity. Resulting in a $85 million fine from regulators. However, this outage revealed critical IT engineering process failures: - Prioritizing approvals over close monitoring and gradual changes increased the risk. - Traditional change control processes are ineffective in a fast-paced environment. - Insufficient modern DevSecOps practices to balance speed and security. This can happen to any legacy system. To avoid such costly outages, the following measures can be implemented: - Automating change controls where possible - Implementing progressive delivery techniques - Leveraging infrastructure as code and policy as code - Building approvals into CI/CD pipelines - Investing in observability and automated rollback - Focusing on trunk-based development - Addressing technical debt in legacy systems At AWS re:Invent 2023, Amazon's CTO, Werner Vogels, famously said, "Everything fails all the time." This serves as a reminder of systems' inherent unpredictability and the need to design with failure in mind. So be quick to detect and fix the problem. Found this useful? Follow Simform for more such digital engineering insights. #swedbank #legacysystem #Systemcomplexity #chaosengineering #productengineering #simform

Scaling too slowly, security holes, disorganized data These are just some of the bumps that can throw your AI deployment off track Use this guide to keep your Gen AI adoption journey moving flawlessly 👇 1. Data Integration To make AI effective, consolidate data from various sources, formats, and databases, and maintain compatibility, consistency, and quality across systems. 2. Legacy Systems Compatibility When integrating AI with legacy systems, consider retrofitting or updating existing systems, APIs, or protocols to facilitate data exchange and interoperability. 3. Scalability and Performance To handle increasing data volumes and user demand, prioritize scalability, performance, and reliability in your AI infrastructure. 4. Security and Privacy Protect against unauthorized access and data breaches by implementing robust security measures, encryption, access controls, and data anonymization. 5. Regulatory Compliance Comply with regulatory requirements like GDPR, HIPAA, or PCI DSS by implementing appropriate safeguards and audit trails for your AI systems and data handling practices. 6. Organizational Culture and Change Management Address resistance to change and promote a culture of innovation by developing AI literacy across the organization. 7. Interdisciplinary Collaboration Facilitate effective collaboration between technical and non-technical stakeholders by bridging communication gaps and aligning priorities to define requirements and implement AI solutions effectively. Recently, in the AWS Summit LA keynote session, Matt Wood, VP of AI Products, AWS, said, “Generative AI represents probably the biggest technical shift in how we're gonna interact with data and information and each other since the advent of the very, very earliest internet.” So, it is obvious that neglecting these can quickly turn your AI investment into an expensive liability rather than a competitive advantage. Follow Simform to stay updated on the latest AI strategies and best practices for your organization. #ai #genai #aisolutions #simform