Application Modernisation: Transforming Legacy Systems for the Digital Age
In today’s fast-paced digital landscape, application modernisation has become a strategic priority for organizations looking to stay competitive. Legacy systems, while reliable, often struggle to meet the demands of modern users, cloud computing, and advanced analytics. Modernising applications not only enhances performance and scalability but also reduces operational costs and improves customer experience.
Key Steps for Effective Application Modernisation
Modernising applications requires careful planning, strategic investment, and the adoption of the right technologies. Here are key steps to consider:
Assess Legacy Systems: Begin with a comprehensive audit of your existing applications. Identify outdated components, performance bottlenecks, and integration challenges. Understanding the current state of your systems is essential for defining a clear modernization roadmap.
Choose the Right Modernization Approach: Depending on business needs, you can refactor, replatform, or rebuild applications. Refactoring optimizes existing code, replatforming moves applications to the cloud with minimal changes, and rebuilding involves creating a new application from scratch.
Leverage Cloud Solutions: Cloud platforms offer scalable infrastructure, high availability, and cost-effective deployment options. Organizations like Cloudzenia provide cloud services that help businesses modernize applications efficiently, ensuring seamless migration, performance optimization, and reduced operational overhead.
Implement Microservices Architecture: Breaking monolithic applications into microservices enhances flexibility, scalability, and maintainability. Microservices allow teams to develop, deploy, and update components independently, accelerating innovation and reducing downtime.
Adopt DevOps Practices: Integrating DevOps with modernized applications streamlines development, testing, and deployment processes. Continuous integration (CI) and continuous delivery (CD) pipelines ensure faster release cycles while maintaining high quality and reliability.
Prioritize Security and Compliance: Modernization offers an opportunity to strengthen security frameworks and ensure regulatory compliance. Use automated security testing, data encryption, and access controls to protect sensitive information while modernizing applications.
Monitor and Optimize Performance: Continuous monitoring post-modernization is critical. Use analytics and performance metrics to identify inefficiencies, optimize resource usage, and ensure applications meet business and user expectations.
Conclusion
Application modernisation is no longer optional—it’s a necessity for businesses aiming to thrive in the digital era. By assessing legacy systems, leveraging cloud platforms, adopting microservices, implementing DevOps practices, and prioritizing security, organizations can transform outdated applications into agile, scalable, and efficient solutions.
Taking the first step toward modernisation can dramatically improve user experience, reduce costs, and enhance business agility. Explore modern cloud solutions, evaluate your application portfolio, and plan a modernization strategy that aligns with your long-term goals.
What is DevOps: Guide to Revolutionizing Software Development and IT Operations- OpsNexa!
Explore the world of DevOps in this detailed guide, uncovering its principles, practices, What is DevOps, and tools that bridge the gap between software development and IT operations. Learn how DevOps enhances collaboration, speeds up software delivery, and improves quality.
Explore the world of DevOps in this detailed guide, uncovering its principles, practices, and tools that bridge the gap between software dev
In today’s high-speed digital world, Agile methodologies have transformed the way organizations deliver software. They emphasize collaboration, flexibility, and customer satisfaction. Yet, to truly excel in this dynamic landscape, Agile leaders need to embrace a powerful ally: DevOps. In this guide, we’ll delve into the perfect synergy between Agile and DevOps, offering a clear, concise roadmap…
How To Reduce Cycle Times By Adopting Systemic Collaboration
The technology landscape, today, is evolving to accommodate the changing demands of the customers, who want the best quality solutions in the shortest possible time at a lower cost.
But is it feasible to shrink the cycle time further without compromising on the quality while reducing cost? While it may seem impossible to achieve all three objectives together, by introducing systemic collaboration across the IT organization’s ecosystem, it is possible to deliver excellence on all three dimensions.
Often different tools (portfolio, ALM, QA) are siloed and don’t talk to each other. That results in manual time-consuming process for information sharing and collaboration, resulting in higher cost and longer cycle times. And, even quality may be compromised sometimes to meet time-to-market objectives.
It all boils down to the need for rich, in-context collaboration that can only happen if the underlying IT ecosystem is integrated. In an integrated ecosystem, a product owner using a specialized agile management tool, such as CA Agile Central, VersionOne, etc. has full visibility into the real-time status of all the user stories as well as feedback from QA teams, even though those teams are using their own specialized tools, such as TFS, Jira, HP ALM, etc. – all of this in his/her own tool. This enables them to have full context and continue to collaborate effectively, in real-time, even though they are using different tools. As a result, the teams are able to deliver quality solutions faster, at a lower cost.
In this blog, we will discuss how organizations can create seamlessly integrated ecosystems, to bring down their cycle times and costs without compromising on quality.
Making multiple, disparate systems talk
By making the multiple, disparate, cross-functional systems talk, organizations can enable all teams to have full context of all relevant information, in real time. This not only enhances the collaboration between the teams, but also help these teams take better decisions collaboratively without abandoning the best tool for their roles.
Due to the inherent transparency and collaboration in this setup:
The exchange of customer data happens in real time, with complete context, and without any manually-induced errors and delays.
All teams have holistic view of customer information and all of them work with unified set of facts and enabling them to make the right choices independently.
Teams are no longer spending time to sync-up information, prioritizing tasks, and struggling to define agreeable timelines, thereby focusing more on building great solutions and experiences.
Below is an example of how systemic collaboration can bring synergy within an ecosystem and help increase the efficiency of an organization:
Problem: A big student information systems company, one of our customers, was trying to bring down the time taken in resolving customer tickets. Their support team was using Zendesk and development team was using CA Agile Central, which were tools best suited for their roles. Since the systems were not integrated with each other the data won’t, automatically, flow from one system to another. The teams had to manually update their systems for every interations on each ticket, which led to delay and errors.
Solution: By integrating their support and development systems, using OpsHub, the customer significantly brought down the resolution time for their customer tickets. The integration also led to seamless exchange of information between both the teams – which increased cross-team collaboration and reduced the instances of manually-induced errors and delays.
Long term impact of systemic collaboration
Systematic collaboration doesn’t only accelerate quality delivery, it also impacts the business strategies and customer relationships in the long run.
Seamless systemic collaboration leads to complete and effective communication between the teams. When same level of information is accessible to everyone, there are lesser chances of blind spots in the processes.
Evaluating the systems in an age of systemic collaboration can be challenging: not all best-of-breed systems are collaborative, not all collaborative tools are functionally rich. To bring the best-of-breed, heterogeneous tools together and make them work effectively, a seamless integration platform that can connect these systems is ineludible.
Last but not the least, with systemic collaboration, it is possible to tighten Service Level Agreements and prioritize critical issues immediately.
OpsHub Integration Manager (OIM) is a preferred integration solution that comes along with many popular ALM, DevOps, IT Service Management (ITSM), and Customer Relationship Management (CRM) tools. OIM supports integration 50+ ALM, CRM, ITSM, and DevOps tools. To see the list of tools OIM supports for integration, click here.
Know How Integrations of ALM & DevOps Systems Enable Visibility, Traceability Across Software Lifecycle. Connect Software Development Systems with Integration Tool.
OpsHub Integration Manager integrates 50+ ALM, DevOps, CRM, and ITSM solutions. It has a proven track record of helping enterprises boost their productivity by over 25%.
OpsHub Integration Manager also helps enterprises facilitate wiser, contextual decisions by making all critical data available to all stakeholders, in their preferred systems, with complete context, in real-time.
OpsHub is a leading provider of integration and migration solutions for the Application Lifecycle Management (ALM), IT Service Management (ITSM), Customer Relationship Management (CRM), and DevOps systems. OpsHub products enhance the efficiency and effectiveness of the agile teams in ALM and DevOps environments.
Top 5 Factors which we should Consider When Building An Integration Solution which not only brings collaboration but also leverages the functional richness.
The need for software integration is well-established. We discussed about how a well-unified ecosystem helps enterprises deliver phenomenal customer experience in one of our previous blogs. Every enterprise that works with multiple systems and cross-functional teams realizes at some point the need for integrating their Application Lifecycle Management (ALM) and DevOps systems to accelerate delivery and provide a holistic customer experience. A good integration solution (the features of which we have discussed here) not only brings collaboration but also leverages the functional richness of the individual systems to create a highly productive and collaborative ecosystem.
In case of application development ecosystem, integration within the ecosystem and with the operations teams brings the spotlight on the business priorities and helps cross-functional teams, cumulatively, deliver high quality products and brilliant customer experience.
In this blog, we will discuss the factors that an enterprise whose core focus is something other than integration should consider when they decide on building an enterprise integration solution. We will also discuss why buying an off-the-shelf enterprise integration solution can be a wise choice.
Factors enterprises must consider when building an enterprise integration solution inhouse
Creating an enterprise integration solution is a complex task. It involves the understanding of the architecture of multiple systems, the uniqueness, features, and flaws of these systems, and the challenges in making them successfully work together. When enterprises decide on building an inhouse integration solution, their vision is mostly limited to their own ecosystem. Therefore, sometimes, they fail to consider the factors which, if ignored, will create issues over long term, the cost of fixing these issues and the impact on their teams’ productivity due to these issues. These factors are: scalability, complete traceability, failure recovery mechanism, system upgrades, and change in business processes.
Scalability in future: Managing more systems + people + business
Usually, the first problem that an enterprise faces with an inhouse integration solution is the solution’s inability to scale up to meet the new requirements. Scalability might be needed for multiple reasons such as:
Addition of more users in the ecosystem due to business expansion
Addition of more projects due to growing data/clientele
Addition of new systems for newer business needs
Now, as the initial integration design was not designed with the above needs in mind, such kind of updates typically require a full-blown project again to find a new solution. It becomes a time-consuming task specially when customizations are required to add new users, projects, or systems. For example, sometimes the new system being introduced in the ecosystem has no similarity with the with the already integrated systems and requires additional backend work to integrate with the existing ecosystem. More importantly, the delay caused due to enterprise’s inability to consider the future needs for scalability, sometimes, impacts the successful execution of a critical project.
Another key reason why enterprises can’t ignore the need of scalability in future is because as the team sizes grow, there would a need to successfully handle concurrent updates. The integration solution must be able to handle the concurrent flow of data from multiple systems without errors and failures.
To create an integration solution that is scalable for future needs is a specialized, time-consuming process, and requires a system development mindset.
Enterprises such as OpsHub dedicate a lot of time researching and working on ways to support multiple types of systems and keep their integration solution ready for future scalability. The out-of-box integration solution offered by OpsHub also comes with multiple deployment options, such as on-premise, on cloud, or both – a feature that is difficult to create inhouse.
Complete traceability: Rich context about data in the ecosystem + Regulatory compliance adherence
Complete traceability is important for richer collaboration and reliable decision making. An integration solution, designed to provide complete traceability for all work and non-work items, helps stakeholders put right quality checks in place and get holistic context of the data present in the ecosystem. Traceability is constructed piecewise in multiple, disparate systems and a good integration solution should be able to consolidate all the pieces of information. Lack of this sort of traceability not only affects productivity but also leads to breach of regulatory compliance requirements in industries such as finance and aviation.
Now, a minimal viable integration workaround that enterprises create inhouse to connect two systems will never be able to support complete traceability for all work and non-work items due to its poor design approach. Approaches such as API call approach that enterprises generally use to create inhouse integration solutions or, the otherwise slightly better, file systems approach do not support the kind of traceability that’s actually needed to create a unified ecosystem with 100% traceability of all items.
A robust failure recovery mechanism: Safe data + Secure transactions
Inflight failures when parallel streams of concurrent updates are coming from disparate sources (which is a common phenomenon in an ALM ecosystem) can be a nightmare if the integration solution doesn’t have a reliable failure recovery mechanism in place. It can lead to loss or corruption of critical customer data. Therefore, it is critical for the integration solution to support automatic recovery in case of a failure and ensure eventual data consistency across the ecosystem.
However, this kind of robust failure mechanism is impossible for an integration solution if it doesn’t keep a record of the transient states of all transactions happening across in the ecosystem in an audit log.
Now, handling failure efficiently is certainly not the top-of-the-mind feature when an integration solution is built inhouse. Therefore, it is common for these solutions to run into issues such as data corruption due to temporary system failure, connection loss between the two systems, or unexpected changes in mapping.
Robust integration solution such as OpsHub Integration Manager have robust failure recovery mechanism that queues up failures for resolution even when an end system is unavailable/down for a while. In the failure recovery mechanism designed by OpsHub, failed events are processed automatically and could also be processed manually by administrators.
System upgrades: Readiness to handle API changes + Feature enhancements
Unlike a decade back, enterprises, today, don’t follow bi-annual or annual cycles to release the upgraded versions of their software. Upgradation can be as frequent as weekly or monthly. Therefore, enterprises must always be prepared to ensure that the inhouse solution is always compatible with the new version(s). The preparedness could be: a) being ready to manage the upcoming changes in the software solutions or b) being familiar with the pre-release version of the software solutions. Advance planning not only makes it easier to adopt new features/releases but also significantly improve time to value. The reaction time to changes becomes even more critical when enterprises are dealing with Software as a service (SaaS) products and they don’t have the luxury to wait before adopting the latest release.
Change in business process: Re-evaluation of the existing systemic integration
Evolving business priorities, changing business needs, or change in the business model can impact the way two teams within an enterprise and their corresponding systems interact with each other. This, in turn, calls for a re-evaluation of the existing systemic integration in the ecosystem. For example, an integration solution designed on direct API call-out approach will need additional development to support even minor changes in the business processes. The process of development, testing, and deployment will not only add to the maintenance cost but also disrupt the business, sometimes for long periods.
The trigger-based integration approach that OpsHub follows is thoughtfully designed to manage such high-level business changes. The robust integration approach that OpsHub follows allows enterprises to make minor mapping updates to keep the integration up and running even in case of major business process changes.
In short, designing a robust integration solution is a complex task When an enterprise realizes the need for integrating its ecosystem or integrating two or more systems, their default reaction is, ‘Yes! Let’s just create one inhouse’.
Prima facie, the process of connecting two or more systems looks very simple. Checking the APIs of the source and the target systems, and using the APIs to integrate the systems can be done by an enterprise’s inhouse team – if not perfectly, at least to an extent where the immediate needs for integration can be addressed. The idea of developing an integration solution inhouse sounds faster, cheaper, and easier to handle as compared to going all over looking for a vendor that understands the enterprise’s exclusive needs until enterprises consider incorporating the five critical factors we discussed in this article in their inhouse solution.
Even after putting all the money and effort, an enterprise not specialized in creating an integration solution can’t be sure that they have built an integration solution better than an integration solution available off the shelf with a vendor.
Apart from niche skills and efforts required to design an integration solution, the collaboration between integration solution vendors and software providers to keep the integration solution ready latest for all latest releases give the vendors an edge over inhouse integration solutions. Therefore, if the core focus of an enterprise is not to create an integration solution – it is not worth investing years to develop an expertise in creating integration solutions.
The cost of building a robust integration such as OpsHub Integration Manager, the effort required from the inhouse resources to reach that level of expertise, the time required to get the integration solution ready for use can rather be invested in enhancing the enterprise’s core business application. This is the reason big companies such CA Technologies, Atlassian, IBM, Salesforce, Jama, VersionOne, and many more partner with OpsHub to provide integration solutions for their customers instead of building one inhouse.
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