Hey everyone. Good morning, good afternoon, and good evening wherever you are. My name is Rashma. Thanks for joining me while I talk about application modernization, if you are the one who is already working on any of the legacy applications like ier, IBMI, or IBM mainframes, or you are. Start working on one of these applications, then you're in the right place because in the next couple of minutes we'll be talking about what are these, legacy applications, why do we care about modernizing these legacy applications? What are the various approaches or strategies and what are the various trends to modernize these legacy applications also? after we, complete this presentation, if you have any questions, you can please feel free to shoot an email to Arch in the new arch gmail.com. All right, so let's dive in, to see how we can transform really, these legacy applications. We'll jump into the presentation. All right. So application modernization. We still, see this as a very critical imperative for so many enterprises as we, seek to maintain the competitive advantage in an increasingly digital business landscape, you do not believe, approximately 72% of enterprises are actively trying to modernize their applications with 28% of them are still in planning stages. And today, organization implementing successful modern initiatives have experienced 40% increase in operation efficiency and a 38% improvement in customer satisfaction rates. And definitely I would also mention this organizations though, that are not planning, modernization as part of their investments, they tremendously spend between 60 to 80% of their budget still maintaining, their existing applications, but not on the renovations. Let's see the current state of these legacy applications. when you say current state of these legacy applications, Sometimes we hear that, people say legacy applications, but we still tend to use many of these applications for our critical day-to-day business operations. Though they, they claim themselves like they're still functional. We, we still want to continue because. These business operations are so critical for their existing business. and it is. and if I try to change any of these things, I will have a fear that, okay, what will happen? Will it disrupt my today's business? So likewise, likewise, many companies today, they're still continuing their legacy applications. thinking that if I try to change this, I may end up in some state of disruption, but we still, try to see some of the challenges. For example, legacy applications still maintain that monolithic architectures and outdated technology stacks. And knowingly, unknowingly, we will be having certain challenges with these, legacy application architectures. 64% of organizations site, they have some, they have to improve their application. Maintainability also, they want to prioritize their, scalability. This is, these are the two main challenges we tend to hear from, corporates, in terms of, maintaining the legacy applications or modernizing these legacy applications. And what are those key business drivers, if you want to consider to, to modernize these legacy applications? Customer experience that is one of the key driver people will consider to, yes. I have this issue today and I have to try to modernize the, my legacy application. And security considerations is some of these, legacy applications. Sometimes they, they pose certain security challenges, which again, is a key driver for the corporates to think about modernizing these legacy applications. So maintenance challenges. And business drivers. And the third factor you should consider when you want to modernize these legacy applications is the specific patterns that industry follows. For example, if you take, health healthcare sector, they have to strictly follow their regulatory compliance. certain organizations, they still follow that. And as part of that, you should take care of, up keeping your application up to date. like I mentioned, again, healthcare sectors, they prioritize interoperability, improvements. That is another factor that you should consider. Then API first approaches to enable system integration. So these are the, this is the current state where we have our legacy applications. today I would like to talk about a few, major approaches or the strategies. many of us would try to use, if you want to modernize these legacy application. One such approach would be cloud migration, and other one would be containerizations. So we will see what are the strategy that we have, when we want to employ these, cloud and containerization. So assessment framework, yes. Whether it is containerization or a cloud migration strategy, you have to thoroughly do your portfolio analysis. Why? There is, as per the research, it clearly states that, you have made a thorough portfolio analysis before. You want to, really start your journey with this cloud migration or containerization strategies. Had it been, any ad hoc approach, then you wouldn't be really able to realize the, written on investment on any of the approaches. Yeah, container architect orchestration. I'm sure, we would've, here about, Kubernetes, majority of the organizations today they use is Kubernetes, in terms of, their production operations with 64% managing between two and five clusters. So organization with mature T Pro practices demonstrate a 47% reduction in application deployment team and 35% enhancement in resource. whereas in terms of cloud architecture, definitely people who, involved, in this, cloud architectures for, as part of their legacy application modernization journey, they see definitely some amount of improvement in application scalability and decrease in operational overhead. And definitely it is going to boost your developer productivity. And also must I must say that it should. It should also show some reduction in incident resolution times. So when we talk about clouds to date, it is essential that we will be, hosting some of our applications into a multi-cloud strategy. So we should also consider, when I consider these multi-cloud, strategies, what are the various, other factors that I should consider? 41% enhancement in disaster recovery capabilities and 37% improvement in vendor negotiation leverage. And 49% implementing geographical service delivery. So all these things, enterprises now operate in the multi-cloud environ. They have to, take care of these, parameters, so container security. if you have chosen containerization as your strategy. Organizations definitely must identify security as their top container management concern. So 77% have implemented comprehensive container specific security tools, and while 84% incorporate automated security scanning into their security frameworks, so data operations and storage. So this is another consideration, organization should take care where, they, it is essential for database and data-driven applications. 45%. Currently runs stateful applications in Kubernetes with, 80% planning to increase their stateful workloads. So data production emerges as a primary concern for 54% of the organizations. So this is about, a cloud or a continuation strategy. And what are the various considerations that you must be taking care of when you are about to, introduce this multi-cloud strategy? Okay. And my second approach, or the strategy I would say is artificial intelligence. So if I'm not still talking about artificial intelligence, then I'm not, I'm nowhere in this, in the competition today who is not using artificial intelligence. Okay? if. Artificial intelligence is so popular, how artificial intelligence is going to be, helping me in terms of this application modernization. Okay. A driven code analysis, cognitive computing and performance optimization. So in each of these areas, AI is going to play a vital role, to assist me in modernizing my legacy applications. Sir. So what, how, and what exactly these AI tools or ML software is going to do. So if you look at this, information here presented, a powered code analysis tool report, a 52% reduction technical debt accumulation, and a 40% implement in code quality metrics. Absolutely. So these AI algorithms can process legacy code bases at 15 times the speed of manual review while maintaining 94% accuracy. So these numbers, out of a research paper I have, gathered this and these numbers very much say how much, a critical role these AI tools or softwares will play, while you want to plan your application modernization. Cognitive computing today. So if organizations wants to implement this cognitive computing solutions. they, they would've realized that a 63% implement in the business rule extraction accuracy, and a 58% reduction in system documentation effort. NLP Natural Language Processing capabilities show a 76% success rate in converting unstructured legacy documentation in the structure knowledge basis. So this is about cognitive computing, performance optimization. Okay, so AI driven performance prediction. Models achieve 91% accuracy in forecasting system behavior under various load conditions. So organization leveraging these capabilities report a 52% implement in resource utilization and a 47% reduction in performance related incidents. So not only these three areas, either in terms of testing or data insights, there are like several areas where these AI plays a very vital role, and it helps a lot in boosting your efficiency, in reducing the time, and the cost, et cetera. So many ways the A is going to play a critical role. like I mentioned, testing and addition support systems. So automated testing. So these AI softwares would really help people to, to do the test coverage means it really helps us to, write enough number of testing cases as given a set of core snippets. so I really no need to, engage so many people to write these test cases. So AI is going to do the job for me. So 78%, it does the test coverage with 60, 65% less effort compared to traditional approaches like I mentioned. So it also reduces the testing cycles. While it improves the defect detection rates. So much automation is in place, so why not we see this improvement, right? So improving defect detection rates by 43%. And pattern recognition. So AI is so popular, in terms of identifying pattern, what are the various, stages or, situations. My system tends to slows down or my system shows some performance slow down. So those areas, I can very well map it down and I can have an algorithm in place to see, okay, these are all the maintenance schedule, I have to take care in terms of, maintaining them. System recover and et cetera in all those aspects. So has become, so this a powered, pattern recognition has become so instrumental in architecture optimization. So like I mentioned, not only in this maintenance schedules, like also architecture optimization, if there is any repetitive processes or any workflows, this a really helps in identifying such duplication or in redundancy. They can very well help. To optimize those workflows. It also improves the decision making. So if you have a machine learning model, and you can very well use it to predict the success rate of different modernization patterns with 85% accuracy. Data driven decision support. So AI will also help us to, to do so much data analytics and out of that it'll help the, top layered, management. Cater people to, consider these data analytics and it'll, it really help them to perform some data insights and to use that further for, next business, enhancements. So organization implementing these AI Power Edition support systems report a 67% improvement in modern success rates and a 49% reduction in project risk. These tools can effectively analyze complex dependencies with 84% accuracy. Okay. in our approaches, the next one would be low-code and no-code development platforms. I'm sure you guys would've already have heard of, these low-code, no-code development platforms. What exactly you mean by low-code? No, Today we all, spend so much time in, in, gathering the requirements, spending time in drafting the technical requirement specifications. And again, after that, people spending time in, writing, a huge amount of code. what if I'm given a chance, without, much code or with no code, I will be able to do all that magic. That, that is, that, that is why it, it is, possible through these low-code no-code development platforms. So as per the research, the global market is expected to grow at a compound annual growth rate of 28.1% through 2027 because of the significant benefits to, you know, through these, local no-code platforms. Accelerated development. organizations who are, really thinking about these, local no core platforms, they're going to experience a 65% reduction in the application development cycles compared to the traditional approaches, cost efficiency. People who implement these platforms. they achieve, they're gonna achieve 47% cost savings compared to traditional development approaches and governance. So in terms of governance, organizations are going to achieve 62% higher user adoption rates and report, 44% fewer implementation challenges. So training impact comprehensive training programs result in 57% higher developer productivity with these platforms. Success factors include the effective security frameworks, like 73% success rate, robust training programs, and integration capabilities. So here I have put few numbers in terms of specific industry who are adopting these local Norco platforms, financial services, 38% of this financial sector. they're using this LCNC adoption with Workflow Automation Solutions delivering 61% year on. Year over year growth and healthcare, 35% of these, healthcare sector. They use these LCNC platforms for interactive patient engagement, achieving a 54% adoption across provider networks. And coming to the retail sector, 27% of the retail sector, they use these platforms in their omnichannel customer experience solutions and 40% in manufacturing sector where they use these platforms for smart operations management. platforms. Revolution is in production efficiency. So enterprises implementing these platforms or these solutions, they have proved that you know it is going to have a faster delivery of digital transformation initiatives with enhanced business responsiveness to market changes. Also, they're going to demonstrate a stronger cross collaboration. Along with that, these organizations experience a 55% decrease in IT project backlogs and a 39% boost in innovation capabilities through democratized development programs. And the next one we have in this approach, in the strategies is microservices architecture. This is another popular, approach, a strategy where we use so, so predominantly when I want to modernize my legacy applications. So what exactly is a microservice? So in, in traditional approaches, I would be having a long services, our workflows, our processes. So now as the days evolve, as the technology evolve, we realize that. decomposing these long written services into small, in a micro manner so that, having constructed all these microservices in a very, communication manner is going to improve the architecture and efficiency. strategic decomposition. So this is what I mentioned, so you will be decomposing a long, processes to make them much more easy for in terms of, communication and efficiency. So you will be dec decide deciding a precise boundaries for optimal service isolation. Also, you will be talking something about service mesh architecture, where you'll be streamlining this, interservice communications, like I mentioned about, so pattern based development. you'll be deciding or designing a fall tolerance resilient, mechanisms. for, as part of this pattern based development and network resilience, robust security controls and traffic orchestration data consistency, so scalable event sourcing and transaction patterns. So organizations implementing these strategic decomposition methodologies achieve a 64% implement in system maintainability and scalability. the demonstrate superior results, in terms of like success rate for incremental monolith transformation teams like embracing domain driven design frameworks experience a 47% reduction in cross team boundary disputes and architecture. So this is, so service mesh architecture is, very popular. Like when you implement it is gonna deliver 58% higher reliability in complex service interactions. While reducing network related incidents by 45%, organizations report a 67 enhancement in disrupted tracing capabilities, enabling faster problem resolution and comprehensive system visibility across the microservices ecosystem, future outlook and digital transformation. Accelerated modernization. 84% of organizations have accelerated their digital modernization initiatives with 67% increasing technology investments specifically for legacy application transformation. This momentum continues to build as a digital transformation becomes a strategic imperative rather than an optional advantage. Risk management. So this is another category, you have to consider when you. Implementing Structural Risk Management framework report 70% modern disruptions success factors. Include that proactive risk identification on integrated adaptive response mechanism across systems technology stack evolution. 78% of these enterprises now prioritize flexible, scalable architectures as foundation elements. Those embracing modern database technologies achieve 62% improved application responsiveness. 57, 50 6% less data latency and 51% enhanced systems. Scalability, creating a more agile technological ecosystem. So sustainable modern practices. But sustainable modernization practices where, long-term sustainability, organiz implementing sustainable modernization frameworks achieve a 66% implement in long-term system continuity and 59% election technical declaration. So this focus on sustainability ensures a system remain viable and adaptive over time innovation capabilities. So organization fostering innovation driven modernization approaches report 16% improvement in feature delivery speed, and a 54% enhancement in customer experience metrics. Innovation has become a crucial differentiator in modern in sectors, enterprise risk considerations. So 81% of organizations now incorporate risk assessment into their modernization planning phases. So automated risk assessment tools lead to 58% I improvement in risk identification, accuracy, and better alignment between technical capabilities and business objectives. yeah. So this is about, our, various strategies and trends that we would be, using to do this legacy modernization. one final thought I would want to, present before I say thanks and leave for the presentation is, I really do not want to enforce that you have to abandon your existing, systems legacy systems. it is up to each one of us to maintain a proper balance of what are today's business needs. And if my, today's applications or the existing legacy applications, though they are called outdated, are they really, helping me to meet today's business needs. If not, then I have to see, what is the, what is the possible way, what is the most profitable way? to use the stability and the enhancement of the existing system. At the same time, I need to modernize in a way that I have to make use of these latest technologies like, cloud adoption, microservices, containerization, I. Importantly, artificial intelligence, so that my application is no more called as an outdated applications because it has all the latest capabilities, to be in a position to interact with the few other peer technology platforms, for, to meet the latest business, requirements. So of course, another factor we should consider is the culture of the organization and customer experience. people who work on these platforms, they should all feel, comfortable when you make a move towards this modernization, I'm pretty sure you have learned enough, information when you want to modernize, these legacy applications for the most business profitability to achieve today. I hope you enjoy the presentation. I just wanted to say thank you. Thank you so much. Thanks for listening to me. Bye. You have a good one.