Modernize Enterprise Apps
Rapidly Modernize Your Enterprise Applications to Stay Ahead
Modernizing your organization’s legacy systems can often appear challenging. Veraqor provides comprehensive app modernization solutions to assist enterprises in optimizing their technology investments and get the best returns.
Overcoming Modernize Enterprise Apps Challenges
- Incompatible Legacy Systems
- Downtime Caused by Limited Scalability
- Slow Development Cycles
- Increased IT infrastructure Cost
- Frequent Downtime Due to Manual Processes
- Compromised Security or Threat Ignorance
- Complex Cloud Processes
- Delayed Innovation & Product/Service Delivery
- Inefficient & Outdated Apps/Infrastructure
Transform Your Legacy Apps for Faster Development Cycles & Efficient Ops
Migrate or Rearchitect Legacy Apps & Databases
Key Benefits
Increased System Performance
Scalability and Flexibility
Enhanced Security and Compliance
Reduced Expenditure
Technical Capability
Legacy System Assessment
We commence with a comprehensive evaluation of your existing legacy systems. This involves a meticulous examination of technology stacks, the identification of security vulnerabilities, and an assessment of compatibility with state-of-the-art cloud solutions.
Migration Strategies
Tailoring the transition to your unique needs and constraints, we offer a range of migration strategies. Whether it’s Lift & Shift, re-platforming, or refactoring, our goal is to ensure a seamless and efficient transition for your business.
Rearchitecting
Seamlessly rearchitecting your legacy systems, we unlock the advantages of scalability and accessibility. Leveraging cloud-native solutions, we enhance system performance while reducing infrastructure overhead through Microservices, Containerization, serverless computing, and cloud-native or NoSQL databases.
Security and Compliance
We prioritize your data’s security and compliance. Our approach integrates robust security measures and adherence to industry regulations into the migration or re-architecture process, ensuring the safeguarding of sensitive information.
Migrate or Rearchitect Legacy Apps & Databases Trends
Legacy systems are rapidly adopting cloud-native solutions, with a remarkable 25% increase in adoption over the past year.
The implementation of strict data privacy rules has led to a 53% increase in compliance-driven modernization efforts, ensuring robust data protection.
The transition from legacy monolithic apps to microservices has seen a 40% improvement in flexibility and maintainability, meeting modern business demands.
Hybrid deployments continue to grow, with a projected 67% adoption rate by 2025, as organizations leverage on-premises and cloud solutions for cost-effective performance.
Data Estate Modernization
Veraqor’s Data Estate Modernization provides enterprises with the necessary tools, frameworks, and platforms to acquire the capabilities necessary for success. With our services, we help clients create successful pathways to industrialization through cloud innovation and use the data source for meaningful purposes. By leveraging cloud automation capabilities, companies can ingest, transform and consume data in real-time to support their operations and bring down TCO.
Key Benefits
Enhanced security and threat detection for both cloud and on-premises environments
Simplified management and governance for cloud and on-premises IT estates
Accelerated innovation and delivery of new products/services to customers
Improved business efficiencies with modern apps and infrastructure
Technical Capabilities
Data Estate Modernization
Modernizing your data estate can involve shifting or lifting entire data environments to the Cloud, deploying hybrid data scenarios, or upgrading to the latest versions of SQL Server on-premises. Veraqor delivers all this through data estate modernization offerings.
Data Estate Redesign & Development
We specialize in designing and developing modern data estates that provide business continuity and high availability, as well as geo-replication and failover mechanisms to ensure optimal stability and success. Through data estate redesign and development, we ensure that enterprises get tailored solutions.
Managed Data Services
Managing an extended data estate that includes a variety of services can be a real challenge for IT departments. Our managed data services make it easy for enterprises to manage all their workloads with no extra effort or stress to streamline processes and increase productivity.
Data Estate Modernization Trends
80% of enterprises will have the mechanism in place in upcoming years to shift to cloud-centric infrastructure and applications, twice as fast as before the pandemic.
72% of organizations reported their industry’s pace of cloud transformation has been accelerating after the pandemic.
Cloud-Native Application Development
Key Benefits
Platform Independence
Increased Efficiency with CI/CD
Cost-effective Operations
Improved Resiliency & Availability
Technical Capability
Tailored Cloud-Native Strategy
Collaboratively, we craft a customized cloud-native strategy focused on your specific business goals and long-term targets. Our seasoned experts leverage cloud resources to optimize return on investment, ensuring your cloud journey aligns seamlessly with your organizational objectives.
Microservices Architecture
Embrace modernization with microservices, a transformative approach that ensures flexibility and maintainability. By more efficiently allocating resources, we empower your systems to scale seamlessly and respond promptly to evolving demands, nurturing adaptability and robustness.
Containerization
Harness the power of Docker and Kubernetes for containerization. This enhances application portability and resource efficiency, enabling effortless scaling and streamlined management across diverse cloud platforms while maintaining consistency and security.
Continuous Integration/Continuous Deployment (CI/CD)
Our automation-driven CI/CD pipelines are engineered to simplify the update process, reducing deployment risks substantially. This approach cultivates a culture of agility and reliability in your software development lifecycle, ensuring the swift and dependable integration of new features and enhancements.
Cloud-Native Application Development Trends
Cloud-native applications project a 30% CAGR from 2021 to 2028.
Cloud-native security services are forecasted to reach a $12.6 billion market size by 2024.
70% of cloud adopters report over 20% cost reductions through cloud-native development.
Over 50% of enterprises are expected to implement hybrid cloud strategies by 2025 for workload optimization and cost savings.
Power Platform
Key Benefits
Data-Driven & Efficient Insights
Improved Data-Visualization
Quick & Customized Solutions
Streamlined Processes
Technical Capability
Power BI
Veraqor’s Power BI empowers your workforce and operations with real-time data-driven insights. It’s a game-changer, enhancing decision-making capabilities across your organization across various functions. With easy and intuitive dashboards and reports, you’ll make informed choices swiftly and confidently.
Power Apps
Veraqor enables you to foster innovation within your team with Power Apps. You’ll have the power to create custom applications that precisely fit your business needs and ensure quick low-code/no-code development. This agility ensures that you stay ahead by addressing unique business challenges efficiently and allowing you to be more resilient.
Power Pages
With Power Pages, building user-friendly, low-code business websites becomes a breeze, and Veraqor’s expertise with Power Platform makes it easy for you to accomplish your objectives. Delivering vital information and services to your customers is more efficient than ever. Your web presence will captivate and serve your audience seamlessly.
Power Automate
Power Automate is the key to streamlining your operations, and Veraqor helps organizations achieve peak automation with its extensive experience and understanding of multiple facets of the work. By automating mundane, time-consuming tasks and processes, we allow you to experience a boost in overall efficiency. This translates to more productivity and less manual effort.
Power Platform Trends
Businesses report a 50% reduction in development time with Power Platform.
Power Apps have resulted in 60% faster application development.
In recent years, Power BI users have seen a 40% improvement in data-driven decision-making.
Power Automate users report a 55% increase in operational efficiency.
DevOps
Streamline your application development journey, from design, development, and deployment – an experience providing full visibility of the steps in-between each process stage, with detailed reports on implementation plans, activities performed, and performance optimization measurements. With our cloud-native knowledge and secure infrastructure, launch applications to market faster.
Key Benefits
Improved collaboration between development & operations teams
Resource optimization & fast-to-market applications
Greater agility in responding to changing business demands
Increased uptime for applications through automated monitoring & maintenance processes
Technical Capabilities
CI/CD Pipelines
CI/CD pipelines enable cloud development teams to deploy applications quickly, automate processes and services for greater efficiency, monitor performance optimization, securely store data, and apps, and ensure reliable and efficient development cycles. Adopting CI/CD pipelines can help businesses stay ahead of the competition while maximizing user experience and success.
Microservices
Microservices allow developers to improve the speed, reliability, and scalability of their products and apps. By decoupling software into independent services, teams can reduce complexity and more easily manage their workflows. This enables faster production cycles and allows businesses to establish an infrastructure more quickly.
DevSecOps
Through DevSecOps, we ensure that your applications are built with the utmost security in mind. From the initial build stage till the end, DevSecOps provides comprehensive visibility into the secure state of application development at all stages including deployment, integration and monitoring. By continually assessing and upgrading security protocols to industry best practices, organizations can remain confident that their products are secure and compliant even after release.
DevOps Trends
DevOps adoption has increased by 17% over the past few years.
High-performing DevOps organizations experience 200% more frequent deployments, 24% faster recovery from failures, and three times lower failure rates.
77% of companies that implement DevOps report a significant improvement in their IT performance.
The DevOps market is projected to reach $17 billion in the upcoming years.
DataOps
Join the shift towards a more collaborative, agile, and data-driven approach to managing and analyzing data to accelerate your data initiatives, reduce time to value, and improve overall quality and reliability.
Key Benefits
Faster time-to-insight
Greater alignment between data initiatives and business goals
Improved data quality
Reduce data management costs
Technical Capabilities
Continuous Integration & Delivery
Continuous Delivery (CD) is the process of automating the deployment of code changes to a staging or production environment. This enables businesses automate the deployment of new data pipelines and ensuring that they are tested and validated before being deployed to production, while reducing the risk of errors, improving data quality, and increasing the speed of data delivery.
Collaborative Development
Collaborative development in DataOps requires an agile and iterative approach to data pipeline development that involves continuous feedback and collaboration between different teams. This means that data pipelines are developed and tested in an agile manner, with regular feedback loops to ensure that they meet the needs of the business.
Monitoring & Alerting
By implementing monitoring and alerting in DataOps, organizations can proactively identify and resolve issues before they impact the performance or reliability of the data pipeline. This helps to improve data quality, reduce downtime, and minimize the risk of data loss.
Security & Compliance
Implementing security and compliance in DataOps allows organizations to apply new technologies and best practices such as data encryption, access controls, audit logging, and vulnerability management. Add the right policies and procedures for handling sensitive data, conducting regular security audits and assessments, and you can ensure that data pipelines are compliant with relevant regulations and standards.
DataOps Trends
A recent survey reveals 92% of companies have a DataOps initiative or plan in place, up from 77% in the previous years.
Deloitte’s recent study found that companies that adopt DataOps are able to deliver high-quality data to stakeholders 50% faster than those that don’t.
ResearchAndMarkets predicts that the global DataOps market will grow from $5 billion in the near future to $15.9 billion.
MLOps
Leverage a suite of capabilities to enable your organization to deploy, manage, and improve machine learning models in production environments. With these capabilities, your organization can accelerate its machine learning projects, improve accuracy and consistency, and reduce costs.
Key Benefits
Increased efficiency & accuracy
Improve ROI of machine learning projects
Faster time-to-market
Scale machine learning operations as needed
Technical Capabilities
Model Monitoring & Feedback Loops
With the help of monitoring & feedback loops, you can ensure that your machine learning models remain accurate and effective over time, and that they continue to provide value to the business. This will help improve data quality, reduce downtime, and minimize the risk of model failure or bias.
Model Versioning & Management
Typically implemented using a combination of tools and technologies such as version control systems, model registries, and deployment pipelines, these tools enable your data teams to track changes to machine learning models, store models in a central repository, and deploy models to production environments in a consistent and automated manner.
Data Management
From data preparation, cleaning, transformation, and augmentation, data management in MLOps can ensure that the data used to train, validate, and test machine learning models is of high quality and well-organized. This helps to improve the accuracy and reliability of machine learning models and ensures that models are developed and deployed in a consistent and efficient manner.
Collaboration
Reduce errors and inconsistencies, improve the accuracy and reliability of models, and ensure that models are developed and deployed in a timely and efficient manner. This critical component helps you focus on promoting communication, coordination, and teamwork among data science teams.
MLOps Trends
Databricks revealed 83% of organizations that are deploying machine learning models in production use MLOps practices, up from 55%.
According to MarketsandMarkets, the global MLOps market size is expected to grow from USD 1.1 billion to USD 4.5 billion in the next three years.
Algorithmia found that 93% of organizations believe that MLOps is important to the success of their machine learning initiatives.
Industry Scenarios
Generating Business Value Across Industries
Enterprise cloud solutions that provide real-time, actionable insights.
Using cloud and analytics, this solution helps oil and gas companies centralize their assets data and manage it effectively. This allows them for improved decision-making around maintenance schedules and investment in new equipment.
This solution allows COOs to look after their equipment effectively, use sensor data and analytics, closely monitor their equipment performance in real-time, and predict when maintenance is needed. The cloud can fast-process vast volumes of data to extract real-time insights, leading to cost-effective and efficient operations.
Through the cloud’s real-time processing, organizations can monitor any external environmental factors, such as air and water quality, enabling them to be aware of any potentially harmful impacts. This also helps companies ensure their workforce’s safety, avoiding any hazardous operations that may result in a catastrophe.
Retail Manufacturing Data Analytics report enables organizations to use powerful tools and a data-driven approach to make intelligent decisions. It allows businesses to analyze and follow up on progress and study consumer behaviors.
This solution helps gather and compile important data from the organization and present it through a dashboard. By bringing together all the IT asset information and developing relations with financial information, it provides complete health of the IT infrastructure that is critical to your business growth.
Leveraging AI and ML algorithms can help healthcare providers make sense of this vast amount of data, providing insights into patient outcomes, identifying patterns and trends, informing diagnosis and treatment recommendations, and managing the data better. These technologies can analyze large datasets of patient records, medical images, and genomic data to make these predictions and recommendations.
The advancements in computing power and declining hardware costs have opened new possibilities in the healthcare industry. High-performance computing clusters can run complex simulations and model diseases, drug interactions, and clinical trials. This can enable healthcare providers to make faster and more accurate decisions, leading to better patient outcomes.
Collaboration and data sharing across multiple organizations are increasingly important in today’s healthcare industry. Establishing collaborative data-sharing platforms and networks can enable seamless data exchange and analysis across hospitals, research institutes, and pharmaceutical companies. This can accelerate research, improve treatment outcomes, and help identify new approaches to healthcare challenges.
Developing new drugs or vaccines is time-consuming and costly for pharmaceutical and biotech companies. The use of AI technology can help expedite the drug discovery and development process. AI-powered algorithms can identify potential drug targets, predict drug efficacy and safety, and optimize clinical trial design, leading to faster drug development timelines and better patient outcomes.
The CFO is looking to comprehend the business performance across the key countries and regions. This particular demo presents usual finance department business scenarios explaining revenue growth and profitability, planning, analysis, and expense management.
Cloud & Application Modernization Framework
See How Organizations Are Innovating
Situation
The university faces identity management challenges due to new students entering and others graduating every year, sparking the onboarding and off-boarding of 10,000 to 15,000 identities. The university also has roughly 22,000 staff and faculty identities with diverse needs, complicating standardization.
Solution
The suggested solution was to unify the complexity created by Active Directory Federation Services (AD FS) with Azure AD. By doing this, the university could consolidate identity management with the rest of its Microsoft tooling and provide a more unified single sign-on (SSO) capability for faculty, staff, and students within the University of Illinois system.
Impact
The University of Illinois Urbana-Champaign (U. of I.) consolidated identity management by using Microsoft Azure Active Directory (Azure AD) to unify its sprawling estate of highly diverse users. With Azure AD, the university can use metrics collected in the cloud to make decisions at the time of authentication. Consolidating identity management with the rest of its Microsoft tooling allowed the University of Illinois Urbana-Champaign to provide the convenience of a unified single sign-on (SSO) capability for faculty, staff, and students within the University of Illinois system. This further elevated security and positioned the university for more advanced methods like implementing password-less authentication.
Situation
The issue that Vodafone was facing was that its software engineering work across the company was supported by disparate systems, with different source repositories, change control systems that relied on Word documents and a stasis-inducing attitude to risk and compliance.
Solution
The use of Azure DevOps and GitHub, which allowed Vodafone to streamline and automate their coding, testing, and development processes. This has resulted in a 40% time saving in the global web engineering team and more than 50% time saving in the global app engineering team. In addition, the use of these tools has resulted in a four times increase in developer productivity, without a commensurate increase in headcount.
Impact
Vodafone has been able to respond rapidly to customer requirements on digital channels, which is increasingly important as digital channels account for a larger share of customer interactions. The use of Azure DevOps has enabled Vodafone to move to a completely remote planning process and to experiment and iterate quickly on product development. The business is now beginning to embrace this functionality and is funding teams instead of funding specific projects or deliverables.
Situation
The problem that the Cambridgeshire and Peterborough NHS Foundation Trust faced was the need to migrate more than three million clinical documents, plus structured data from the previous EPR system, in over 300 user-defined data capture forms to a new EPR platform. The Trust held legacy data from 1997 to 2013 in its clinical data library, data from 2013 to 2020 in its existing RiO EPR system, and in an associated on-premises data warehouse.
Solution
Cambridgeshire and Peterborough NHS Foundation Trust migrated more than three million clinical documents and structured data from the previous electronic patient records (EPR) system, held from 2013 to 2020, to Microsoft Azure and Azure Cognitive Search. They put all the data into a cloud storage solution to make it available to clinicians. The Trust moved most office workloads and file storage from on-premises server rooms to Microsoft Azure, SharePoint, and OneDrive.
Impact
Cambridgeshire and Peterborough NHS Foundation Trust was able to migrate more than three million clinical documents from its legacy data and 2013 to 2020 data to a new EPR platform in just four months, using Microsoft Azure’s cloud technology. The solution was developed in-house by the Trust’s IT team, with support from Microsoft’s Fast Track team. The project boosted the skills and engagement of the Trust’s IT team and created a better, cheaper solution that also provided new search capabilities, such as the ability to search handwritten notes using Azure Cognitive Search.
Situation
SPAR NL had a legacy of omnichannel retail systems and custom point-of-sale add-ons that made it challenging to stay on top of industry trends. The architecture did not allow them to create a best-of-breed architecture where they can make changes when something better comes on the market, like a food service solution or online delivery opportunity.
Solution
SPAR NL and HSO replaced the old message-brokering system with a custom solution built on an Azure server-less computing platform with seamless integration services. They created an event-driven, server-less Azure integration platform that connects existing on-premises services and scalable cloud apps. The new platform gave SPAR the agility it needs to respond much faster to changes while providing end-to-end monitoring for quick diagnostics and insights. This Azure integration solution made it possible to get an order right, get the scalability right, and get an order directly to the right systems.
Impact
SPAR NL was able to replace several legacy systems, including a pivotal automation solution that was not available as a cloud service. With the event-driven, server-less Azure integration platform, SPAR NL could connect existing on-premises services and scalable cloud apps, enabling the company to respond faster to changes while providing end-to-end monitoring for quick diagnostics and insights. The new solution allowed SPAR NL to get an order right, get the scalability right, and get an order directly to the right systems. The system’s transparency and monitoring capabilities provided the IT team with an overview of where the data was heading and where the errors were popping up.
