Select Page
The Essential Checklist for Application Modernization

The Essential Checklist for Application Modernization

Let’s face it – your legacy applications are living on borrowed time. They were built for an era long gone, and if you don’t take immediate action, you’ll be left in the dust by agile competitors who have embraced digital transformation. These forward-thinking companies are reaping the benefits of scalability, innovation, and competitive advantage.

According to a recent industry-wide survey, a staggering 92% of industrial companies consider application modernization a critical priority for enabling business transformation. Yet, most organizations are still struggling to make significant progress, owing to the shackles of their outdated tech stack.

But where do you start? How do you navigate the complex journey of transforming your monolithic applications into a sleek, future-proof arsenal? The answer lies in a comprehensive and structured approach that addresses not just the technological aspects but also the organizational and cultural changes required for a successful modernization. And recognizing the application modernization triggers is the first crucial step. These catalysts serve as the driving force for change, prompting organizations to embark on the transformative journey of modernization.

In this practical guide, we’ll provide you with a comprehensive checklist that covers the essential steps and considerations for a seamless application modernization process.

The Modernization Process Checklist:

  1. Prioritize Applications – Not all legacy applications require an immediate overhaul. You can start by identifying the most critical systems that significantly influence your business operations. Then, prioritize these applications according to their strategic importance and the potential benefits they offer through modernization.
  2. Align with Business Strategy – Modernization isn’t just an IT project; it’s a strategic business initiative to accelerate business transformation. Make sure that your modernization plan is in harmony with your organization’s overarching business goals and strategies. This will help you make well-informed decisions and prioritize initiatives that deliver the most value for your organization.
  3. Involve Stakeholders – Application modernization is not a siloed endeavor. Engage key stakeholders, including business leaders, application owners, end-users, and IT staff, from the outset. Gather their input, address their concerns, and secure buy-in to foster a collaborative and inclusive process.
  4. Plan a Phased Approach – Attempting a “big bang” modernization of all your applications simultaneously is a recipe for disaster. Instead, plan to modernize your applications in phases, prioritizing the most critical systems first. This incremental approach will help mitigate risks and allow you to learn and adapt as you go.
  5. Focus on Minimal Viable Product (MVP) – For each phase, define the core functionality needed to meet your immediate business requirements. Build iteratively, starting with an MVP and then incrementally adding features and capabilities based on user feedback and evolving needs.
  6. Implement DevOps Practices – Modernization is not just about technology; it’s also about adopting modern software development and delivery practices. Embrace DevOps principles by automating build, test, and deployment processes, fostering collaboration between development and operations teams, and implementing continuous integration and continuous delivery (CI/CD) pipelines.

The Technology Checklist:

  1. Assess Cloud Readiness – Evaluate whether your applications can be refactored for a cloud platform with minimal rework. Cloud-native architectures offer scalability, flexibility, and cost-efficiency that are essential for modern applications.
  2. Review Integration Needs – Catalog all integration points between your applications and other systems, both internal and external. Ensure that your modernized applications can seamlessly integrate with these systems to avoid disruptions and maintain business continuity. Remember, your applications don’t exist in a vacuum; they’re part of a larger ecosystem.
  3. Consider Containerization – Containerization is a powerful technique that can significantly enhance the portability and scalability of your applications. Explore containerizing your monolithic applications using technologies like Docker to simplify deployment and management. In fact, according to a recent Forrester survey, 74% of organizations are already using or planning to use containers.
  4. Explore Microservices – Break down your monolithic applications into smaller, independent microservices that can be developed, deployed, and scaled independently. This approach fosters greater agility, flexibility, and resilience, enabling you to respond quickly to changing business needs.
  5. Enhance Security – Modernization presents an opportunity to implement robust security practices that are often lacking in legacy systems. Embrace modern security principles like zero trust, encryption, and automated security controls to protect your applications and data from evolving cyber threats.

The People and Organization Checklist:

  1. Establish Governance – Define clear governance processes and policies for your modernized applications across their entire lifecycle. This includes areas such as change management, incident response, compliance, and risk management. Trust us; you don’t want to be caught off guard when things go awry.
  2. Manage Change – Change is inevitable, but it doesn’t have to be disruptive. Proactively communicate upcoming changes to end-users, provide comprehensive training and support to employees, and address concerns to facilitate a smooth transition. Remember, people are the heart of any successful transformation.
  3. Upskill Teams – Invest in training and development for your developers, operations teams, and other IT staff. Equip them with the skills and knowledge required to work with modern technologies, processes, and practices. According to a recent McKinsey report, 87% of companies face skill gaps in their workforce, so don’t let your team fall behind.
  4. Embrace a DevOps Culture – Foster a culture of cross-functional collaboration, shared responsibilities, and continuous improvement. Break down silos between development and operations teams, encouraging them to work together towards common goals. It’s important to understand that DevOps is more than just a collection of tools; it represents a fundamental shift in mindset.
  5. Partner with Experts – Engage experienced modernization partners who can provide expert guidance, augment your in-house teams, and help you navigate the complexities of the transformation process. It would be advisable not to go at it alone; instead, leverage the expertise of those who have been there before, such as the expert team of professionals at Utthunga.
  6. Enable Analytics, AI/ML, and Data-Driven Insights – As you modernize your applications, build in capabilities for collecting and analyzing data, enabling advanced analytics, and leveraging AI/ML. These capabilities will empower you to make data-driven decisions and unlock new insights that can drive innovation and growth.
  7. Evaluate Low-Code Options – In some cases, leveraging low-code development platforms can accelerate the modernization process and enable faster delivery of applications. Evaluate whether low-code solutions are appropriate for certain use cases and can help streamline your modernization efforts.

Application modernization is a complex and multifaceted endeavor, but by following a comprehensive checklist that addresses both technological and organizational aspects, you can navigate the complexities and emerge with a future-proof, agile, and scalable application portfolio.

So, are you set to transform your legacy applications into a strategic advantage? Download our free Modernization Checklist and take the first step towards a future-proof, agile, and scalable application portfolio. This guide will provide the actionable steps and considerations you need across every stage of the modernization journey, from prioritizing applications and aligning with business strategy to implementing DevOps practices and embracing a data-driven culture.

Don’t wait to be left behind in the dust. Start your modernization journey today and unleash the full potential of your applications to drive innovation, enhance customer experiences, and propel your business toward long-term success.

Navigating Innovation Roadblocks with Application Modernization

Navigating Innovation Roadblocks with Application Modernization

Imagine your factory’s production line, once the pinnacle of efficiency, now struggling to keep pace with evolving market demands. As technology relentlessly marches forward, many organizations find their existing applications needing help to keep pace.

According to an eye-opening survey by Forrester, a shocking 73% of manufacturers have over half their applications still running on aging on-premise infrastructures and outdated mainframes. Once a source of stability, these legacy systems, with their antiquated technologies, rigid architectures, and cumbersome workflows, have become hazardous technical debts restricting agility, limiting functionality and scalability, and compromising security.

To compete in the era of intelligent manufacturing, data-driven operations, and disruptive innovation, industrial firms need to take a hard look at rationalizing and modernizing their application landscapes.

What is Application Modernization?

Application modernization is the process of migrating, optimizing, updating, and transforming applications to align with current technological standards, industry requirements, and evolving user expectations.

The first step in the modernization journey is a comprehensive evaluation of each application considering technical fit, operational costs, utilization, and business value. The analysis identifies which applications should be retired, retained, repurchased, rehosted, replaced, rearchitected, or rewritten.

Once this initial evaluation is complete, the modernization process focuses on taking the appropriate actions for each application. This may involve migrating applications to modern platforms, optimizing code and performance, updating user interfaces and experiences, or transforming architectures to leverage modern technologies and approaches.

The ultimate goal of application modernization is to create a streamlined, modern portfolio that aligns with the organization’s digital transformation needs now and in the future.

But how do you know when it’s time to say goodbye to the familiar and embrace the transformative power of modernization? This blog post serves as your guide, exploring the key triggers that signal your manufacturing applications might need a makeover:

The Growing Technology Gap

Integrating newer technologies like AI, ML, IoT sensors, and advanced analytics with legacy systems has become exceptionally difficult, requiring extensive customized coding and integration costs. On average, your legacy systems take 2-3 times more effort to maintain and cost over five times more per transaction than modern cloud-based applications.

Agility and Innovation Demands

Legacy applications severely constrain business agility and time to market with inefficient release cycles and the inability to scale rapidly. Monolithic applications make even minor tweaks slow and painful, while homegrown tools built for niche use cases create fragmentation. As a result, technical debt accumulates, manual workarounds become commonplace, and siloed systems start to obstruct visibility.

Performance and Scalability Issues

Modern industrial operations require applications that provides real-time insights, processes vast amounts of data, and executes complex tasks efficiently and accurately. Legacy systems simply lack the scalability and elasticity to meet such spikes in demand, eventually forcing you to over-provision infrastructure.

Rising Costs and Tech Debt

Maintaining multiple legacy applications entails high operational and maintenance costs, redundant functionalities, and inefficient processes and demands for specialized skills and hardware. Consequently, technical debt accumulates, making it increasingly difficult to innovate at the pace required today. Let’s not forget the tremendous number of servers and systems required to support this portfolio.

Enhanced Security Requirements

With cybersecurity threats constantly evolving, legacy platforms pose enormous security risks, as over 70% of breaches are tied to vulnerabilities in outdated systems. Built on antiquated architectures and lacking modern security features, they are particularly susceptible to shadow IT, cyber-attacks, and data breaches.

Regulatory Compliance Mandates

Evolving regulations often necessitate revamping aging applications that fail compliance requirements. Non-compliance with regulations like GDPR due to legacy apps can lead to heavy penalties for industrial companies. For instance, your legacy ERP systems likely lack the necessary security safeguards for sensitive financial data, like customer payment information, that are now mandated by regulatory standards. These systems simply weren’t designed for today’s security needs.

Business Continuity and Disaster Recovery

Unexpected events such as natural disasters, geopolitical tensions, and public health crises underscore the critical importance of business continuity plans. With their monolithic architectures and single points of failure, legacy applications can pose significant risks to continuity and resilience. Additionally, their inflexibility, coupled with poor failure provisions, may further amplify disruptions.

Scalability and Flexibility Requirements

As you expand your industrial operations and enter new markets to serve increasingly diverse customer needs, scalability and flexibility become crucial. Legacy monoliths may limit your ability to scale on demand, adjust to dynamic needs, and enable organizational agility. Moreover, point solutions grown organically over generations could further constrain flexibility.

Data-Driven Decision Making

Industry leaders like Siemens emphasize data-driven manufacturing as the next frontier for exponential value creation. However, decades-old industrial legacy systems frequently lack the capabilities to fully leverage data and analytics, potentially impeding your organization’s capacity to derive actionable insights and make informed decisions.

Customer Experience Expectations

Today’s consumers expect seamless omnichannel experiences with real-time responsiveness. Yet, legacy applications, burdened by fragmented data and inflexible interfaces, face considerable hurdles in meeting these expectations. The integration of modern customer experience features exacerbates this challenge even more.

Competitive Pressure

Legacy systems and outdated applications can hinder your organization’s agility, affecting innovation, time-to-market, and responsiveness to market trends. As competitors adopt advanced technologies and processes, you may find your existing systems struggling to support new products, meet customer needs, or data-driven insights, potentially leaving you behind in the game.

Addressing Your Modernization Triggers

All the above triggers point towards one vital truth: staying stagnant puts your competitive edge at risk. But fear not! Utthunga’s Application Modernization services help you navigate this complex digital terrain and unlock the true potential of your applications. We go beyond simple updates, offering comprehensive solutions to meet your unique industrial requirements.

We understand that every company’s needs are unique. Whether you’re facing technical obsolescence, demanding performance needs, cost pressures, enhanced security requirements, regulatory compliance, or evolving business goals, our team of experts is equipped to help you navigate the journey toward a truly modern application landscape. And we have more to offer.

Our Unique Value Propositions that Drive Real Change:

1. Seamless Business Logic Transformation:

We don’t just upgrade; we re-align your application logic with your evolving business needs. Our experts conduct an in-depth analysis of your current workflows, systems, and data architecture. We identify optimization opportunities, redundancies, and gaps. Then, we redesign and integrate your application portfolio to align with strategic business priorities. The result is transformed business logic that improves productivity, decision-making, and competitive positioning.

2. Tech Stack for Modernization:

Ditch the outdated tools and embrace future-proof technologies like cloud, APIs, and microservices. Based on an assessment of your landscape, we architect the optimal technology stack tailored to your specific requirements. We leverage leading platforms like AWS, Azure, and Google Cloud to improve scalability, resilience, and efficiency. Our API-driven integration enables legacy systems to share data and functions with modern applications. Transitioning to microservices architecture allows faster iteration and innovation.

3. Infrastructure to Connect OT to IT:

Break down silos and bridge the gap between operational technology (OT) and information technology (IT). Our solutions integrate plant floor systems like SCADA, PLCs, sensors, and manufacturing equipment with business applications. This enables a free flow of data to generate actionable intelligence. We implement edge gateways, OT security, and data orchestration platforms to connect operational data with business insights securely.

4. Complete Toolkit for End-to-End Modernization:

From strategy to execution, we offer a comprehensive set of tools and services. This includes current-state assessment, future-state architecture, transformation roadmap, pilot implementations, integration testing, data migration, cutover planning, training, and ongoing managed services for the modern environment. We guide you through the entire modernization lifecycle, ensuring a smooth transition and continuous optimization.

Our Modernization Expertise

Utthunga’s application modernization services cover a wide range of solutions for various applications, including:

ERP: Streamline your core business processes with modernized ERP systems.

CRM: Enhance customer relationships and boost sales with robust, modern CRM solutions.

MES, MOM, MDM, Digital Logbooks, IIoT Platform, CMMS, Traceability Apps: Optimize manufacturing operations and gain valuable insights with cutting-edge technologies.

Decision Support Systems, Supply Chain Apps, Workflow Management, Manufacturing Analytics, Alarms and Event Apps, Historian, KPI Dashboards, PaaS/SaaS Applications, Quality Monitoring Apps: Gain data-driven insights and improve decision-making across your organization.

Our Team of Experts: We don’t just offer services; we provide seasoned professionals who understand your industry and challenges. Our application modernization team comprises:

SME & Architect Pool: System architects, solution architects, cloud architects, IoT platform architects, IT architects, cybersecurity architects, domain/industry experts, business analysts, and program and project managers.

Engineers: Application engineers, cloud engineers, data engineers, QA engineers, DevOps engineers, cybersecurity engineers, UI/UX engineers.

Why You Should Partner with Utthunga?

  • Tailored Solutions: We don’t believe in one-size-fits-all solutions. We work closely with you to understand your specific needs and goals, developing a customized plan that aligns with your unique IT landscape and industrial objectives.
  • Future-Proof Technology: We leverage the latest technologies, including cloud, IoT, and AI, to ensure your applications are not only modern but also scalable and adaptable to future needs.
  • Reduced Costs: Modernization can save you money in the long run by reducing technical debt, improving operational efficiency, and minimizing security risks.
  • Enhanced Security: We prioritize security at every step of the process, ensuring your applications meet the highest industry standards and regulatory requirements.
  • Faster Time to Market: By streamlining your application portfolio, you can accelerate development and innovation, bringing new products and services to market faster.

Ready to Modernize Your Applications?

Modernizing legacy systems and streamlining your application portfolio boosts efficiency today while establishing a foundation for greater agility and faster rollout of future innovations. The results? Improved processes, better user experiences, and a stronger business overall, rebuilt from the ground up.

Our application modernization services go beyond just upgrading systems. We help you prevent future technical debt accumulation while ensuring easy integration of new innovations. At Utthunga, we keep the big picture in mind to future-proof your business and ensure you are always ahead of the curve.

So don’t let outdated applications hold you back. Contact us today and let our team of experts help you unlock the full potential of your industrial application portfolio. We’ll guide you through the process, mitigate risks, and ensure a smooth transition to a modern and future-proof application landscape.

To learn more about our capabilities, click here.

The Benefits of Implementing Condition Monitoring in Manufacturing: A Comprehensive Guide

The Benefits of Implementing Condition Monitoring in Manufacturing: A Comprehensive Guide

If you are in manufacturing, you know how important it is to keep your equipment smooth and running. Wear and tear can take a toll on even the most robust machine leading to unexpected downtime and maintenance cost that can impact your productivity and profitability. However, the solution for this is condition monitoring. Condition monitoring measures equipment characteristics and detects changes that could indicate an impending failure which will help you prevent breakdowns and keep your operations running smoothly. In this article, we will uncover the benefits of implementing condition monitoring in manufacturing and how it can help your business. 

Benefits of Implementing Condition Monitoring in Manufacturing

Condition monitoring is a method which helps businesses to track the health, performance and deterioration of their equipment in real-time. It monitors equipment’s physical and operational parameters such as pressure, temperature, vibration, and noise to detect any errors. Businesses can obtain several benefits such as reduced maintenance cost, improved product quality, increased uptime and enhanced safety by implementing condition monitoring. Let’s discuss some of the key benefits below:

  • Reduced maintenance costs: By detecting early signs of machine wear and addressing them before they become major issues, the need for unplanned maintenance is significantly reduced. This means that the maintenance can be planned for at a convenient time, and there is less chance of costly downtime due to equipment failure. Additionally, condition monitoring can help identify any problems with the machine and its components that require maintenance, meaning that only necessary repairs are done, reducing overall maintenance costs.
  • Increased equipment uptime: Condition monitoring plays a crucial role in minimizing unplanned downtime as it allows machine defects and malfunctions to be detected and addressed before they cause failure. Knowing the exact condition of equipment helps to plan maintenance activities, reducing the risk of downtime due to equipment failure. As a result, manufacturers can maintain high levels of productivity and efficiency, and reduce lost revenue due to unplanned downtime.
  • Improved product quality: The condition of the machines determines the quality of the products coming out of the production line. By monitoring equipment condition, manufacturers can detect and rectify any issues before they affect product quality. In turn, this leads to higher customer satisfaction, fewer returns, and improved profitability.
  • Enhanced safety: Implementing condition monitoring can improve the safety of both the equipment and workers. As it increases the chances of detecting issues in equipment or components before they cause a major problem and unexpected machine failure. Early detection of potential issues before equipment fails can minimize the risk of accidents, injuries, and damage to the machinery. It also allows for the proactive scheduling of maintenance, reducing the amount of time that maintenance personnel spend on repairs and inspections.

Successful Implementation of Condition Monitoring in Businesses and Resulting Benefits

Implementing condition monitoring in businesses has proven to be a game-changer in several industries. For instance, the steel industry giant, Tata Steel, has successfully implemented condition monitoring to find faults in equipment at an early stage, which has prevented machinery from breaking down and helped to foresee any possible problem that may result in loss to the business.

Conclusion

Implementing condition monitoring in manufacturing can bring a multitude of benefits to businesses. It enables proactive maintenance, reduces downtime, increases equipment reliability, and optimizes overall equipment effectiveness. If you require any  assistance with regard to condition monitoring, please don’t hesitate to connect with Utthunga. Utthunga offers a comprehensive range of condition-monitoring solutions that cater to various industry needs. 

By partnering with Utthunga, businesses can harness the power of cutting-edge technology to enhance their operations and achieve greater efficiency. Contact Utthunga today to revolutionize your manufacturing processes.

 

FAQs

1. How does condition monitoring improve equipment reliability?

Condition monitoring improves equipment reliability by detecting potential failures before they occur. By regularly monitoring the condition of the equipment, issues such as wear and tear or component fatigue can be identified early, allowing for timely repairs or replacement, which reduces equipment downtime and improves reliability.

2. How can condition monitoring increase productivity in manufacturing?

By implementing condition monitoring, manufacturers can increase productivity by reducing unexpected downtime, optimizing maintenance schedules, and improving overall equipment effectiveness.

Best Practices in Building an Effective Asset Performance Management (APM) Strategy

Best Practices in Building an Effective Asset Performance Management (APM) Strategy

In today’s competitive business landscape, maximizing asset performance has become crucial for achieving operational excellence. In order to optimally manage assets and achieve peak performance, businesses must take a full-fledged approach to their asset management strategies and technologies. One of the key ways businesses maximize asset performance is through an effective Asset Performance Management (APM) strategy.

This article will discuss the best practices for building an effective APM strategy.

  • Identify Your Critical Assets

The first step in developing an effective APM strategy is to identify the critical assets that require attention. Conducting a risk analysis will help your organization determine assets that are most vulnerable to failure or that have a significant impact on production. Once identified, these assets should be a high priority in the development of an APM program.

  • Set Goals and Metrics

After identifying critical assets, it is vital to set specific goals and performance metrics for each asset. This includes identifying key performance indicators (KPIs) such as asset uptime, mean time between failure, and asset utilization. Clear goals and KPIs will ensure that the maintenance program focuses on improving the performance of each asset, ultimately leading to an increase in overall plant performance.

  • Develop a Maintenance Plan

A maintenance plan is essential for ensuring that assets are operating at their full potential. This plan should include regular inspections, preventive maintenance tasks, and corrective maintenance tasks. The maintenance plan should be based on the manufacturer’s recommendations, as well as your company’s specific needs and objectives.

  • Invest in Predictive Analytics

Predictive analytics is a crucial component of a successful Asset Performance Management (APM) program. Advanced analytics tools can provide real-time data and insights into asset performance, including identifying potential issues before they occur. This helps maintenance teams to schedule maintenance activities, anticipate issues, and reduce the risk of equipment downtime.

  • Train Your Employees

To fully realize the benefits of an APM program, employees must be trained on the strategies and technologies used. This includes training on equipment monitoring systems, predictive analytics software, and maintenance procedures. An effective training program will ensure that the team is equipped with the knowledge and resources necessary to maintain assets optimally.

  • Implement Continuous Improvement

An APM program is a long-term investment, and there is always room for improvement. Regularly evaluating the effectiveness of the maintenance plan, tracking KPIs, and implementing continuous improvement strategies can help optimize asset performance.

  • Importance of Collaboration and Communication 

In addition to these best practices, collaboration and communication are significant components of a successful Asset Performance Management (APM) program. Effective communication between the maintenance team and other departments is essential to ensure that everyone is working towards a common goal. 

Here are some benefits of collaboration and communication for APM:

  1. Improved decision-making: Sharing knowledge and information with key stakeholders ensures that the data is well-understood, leading to better decisions.
  2. Increased employee engagement: Create opportunities for employees to contribute their ideas, encouraging engagement and buy-in for APM initiatives.
  3. Ensuring alignment: Alignment between departments and stakeholders delivers operational efficiency by eliminating silos.
  4. Facilitating implementation: Collaboration facilitates the adoption of APM best practices, and communication ensures everyone understands the goals and objectives, leading to successful implementation.

End Note: 

In conclusion, building an effective Asset Performance Management (APM) strategy is crucial for any business that seeks to achieve operational excellence. The best practices we discussed here, from defining KPIs to using advanced analytics, can go a long way in helping you achieve this goal. For any other assistance with regard to Asset Performance Management, please don’t hesitate to connect with Utthunga.

We understand the importance of effective APM and the challenges that come with it. That’s why we offer cutting-edge APM solutions and services tailored to your unique business needs. Our team of experts is always ready to help you develop an APM strategy that will yield results and keep you ahead of the competition.

So, if you’re looking to optimize your asset performance and achieve operational efficiency, contact us today. Let us help you make the most out of your assets and take your business to the next level!


FAQs

1. Which industries use asset performance management most?
Utthunga’s asset performance management solutions are utilized in a wide range of industries, including oil and gas, power generation, renewable energy, and manufacturing. These industries heavily rely on critical assets that require continuous monitoring and maintenance to ensure optimal performance and prevent costly downtime.
2. What types of technology can be used to optimize asset performance?
Utthunga leverages various advanced technologies to optimize asset performance, including IIoT, predictive analytics, Machine Learning, and Artificial Intelligence (AI). The company also offer customized dashboards and analytics solutions that help businesses to better monitor and manage their assets. These technologies enable real-time monitoring, data analysis, and predictive maintenance, while ensuring high asset availability, reliability, and efficiency.

How Embedded OPC UA can Enhance Potential for Interoperability

How Embedded OPC UA can Enhance Potential for Interoperability

Introduction

We have long realized that digitalization is the key to unlocking hidden business opportunities in the industrial sector. Digitization and digitalization becomes more successful when it is integrated across products, services, systems, and solutions. It is therefore essential to establish a seamless interoperability between the components of the enterprise and that of the automation systems. Over the years, industries have faced many challenges in building a unified structure that connects all the components, from factory floor devices to the host applications. We are now closer to the goal of building a unified system that delivers reliable interoperability, thanks to the development of OPC Unified Architecture and its easy implementation in the embedded layer. OPC UA allows you to connect field devices all the way up to the enterprise systems. Embedded OPC UA enables industries to utilize heterogenous data collected from various devices, exchange information with different components, and orchestrate processes across different layers. It also secures data storage and accessibility.

How Embedded OPC UA can Enhance Potential for Interoperability

Embedded OPC UA helps create a singular system (comprised of heterogeneous sub systems) that can work seamlessly with other systems. It presents multiple opportunities for control automation vendors and device vendors to make their products stand out with native open data connectivity that is more secure, easier to integrate in multi-vendor environments, and opens door to new markets due to the widespread use of OPC.

This strong demand for improved access to shop-floor data is driving machine and device vendors to use embedded OPC UA to build products that are interoperable with products (hardware and software) from other manufacturers. OPC UA makes it relatively easy for a multitude of applications to connect with each other. The built-in security enables vendors to provide their applications with the three pillars of secure connectivity: authentication, authorization, and encryption.

Embedded OPC UA SDKs can be ported to many embedded operating systems, including proprietary real-time operating systems, which consume the least memory and CPU resources. It finds application across the horizontal and vertical communication in an enterprise or plant.

Vertical Applications: This includes vertical integration from plant floor devices including the sensors/actuators and controllers in the field to IT systems or the cloud and vice versa.

Horizontal Applications: This includes horizontal integration for controller-to-controller (machine-to-machine M2M) communications.

Both these applications together facilitates the standardized secure communication and is also an enabler for:

  • Making field devices smart for easy connectivity
  • Conditioning monitoring (localized to devices)
  • Asset health monitoring
  • Device diagnostics
  • Production monitoring
  • Process and quality control
  • Security management

Advantages of embedded OPC UA solutions

  • OPC UA has been a popular standard for industrial communications since 2015 (its predecessor, OPC Classic, since the early part of this century)
  • It is compatible with a wide range of OT and IT communication protocols
  • It is scalable from sensor to cloud
  • It allows for effective data management as it enables aggregation, access, secure transfer across the industrial network
  • Industries can use embedded OPC UA with PubSub, cloud technologies and open source software for building effective interoperability solutions
  • Embedded OPC UA also supports publish/subscribe communication model that can be used to establish one-to-many or bidirectional communication systems
  • OPC UA communication is encrypted (though optional) hence ensuring data security
  • Data obtained from embedded OPC UA devices can be routed via central or external gateways, which allows for multiple device configuration and management
  • Once OPC UA is embedded in the devices, the engineer just needs to browse the tags to get the relevant information about the device
  • Its small footprint lets you effectively integrate into a product with minimal changes to the power consumption, cost, complexity, and form factor
  • Embedded OPC UA has an efficient internal architecture, which minimizes CPU utilization

Limitations and challenges of industrial interoperability

The biggest challenges of implementing industrial interoperability are:

  • Standardization

IIoT researchers state global standardization as one of the top challenge for industrial interoperability. Industries use devices from various manufacturers and follow unique processes. So, it can be difficult to come up with a one-size-fits-all solution.

  • Compatibility and connectivity issues

There is a gap in the communication between the existing resources and production process. In most cases, industries have islands of data that are maintained and accessed by different teams. Creating a cohesive network that can build a bridge between these islands of data can be a huge challenge for the developers.

  • Security

Data security is one of the critical factors that needs to be considered while implementing industrial interoperability. With all the data accessible from one point, the chances of cyber threats and hacks also rises. Therefore, security needs to be strongly considered while building an interoperable system.

  • Usage access

It is important to clearly define who will be given access and what they can access. Monitoring accessibility, especially on the production floor can be a huge challenge for all the stakeholders.

  • Cost

In the initial stages, when you are doing a complete overhaul of the existing system, the cost can be a huge limiting factor. Many companies worry about the returns on investment and hesitate to invest in OPC UA solutions. Therefore, it is important to work with experts who come with domain expertise and in-depth experience in OPC UA, so you get full value for your time spent and investment made.

Utthunga has over 12 years of experience in OPC UA server and client development. Our range of OPC UA services includes integration of OP UA in field devices and controllers, OPC UA in Edge devices, OPC UA to database integration, and several other use cases. We also offer OPC UA security consultation services. Contact Utthunga for more details on how you can implement interoperability in your company.

Why is Smart Manufacturing a Boon for the Pharmaceutical Industry?

Why is Smart Manufacturing a Boon for the Pharmaceutical Industry?

Smart manufacturing: Smart manufacturing provides the pharmaceutical industry with a host of benefits that help streamline production processes and increase efficiency. By incorporating advanced technologies such as machine learning, artificial intelligence, and data analytics, companies can optimize their supply chain, reduce waste, and minimize downtime. This results in higher quality products, improved safety, and reduced costs. Moreover, smart manufacturing enables pharmaceutical companies to keep pace with changing regulatory requirements and respond to market demands quickly, which is essential in a highly competitive industry.

How Can Manufacturers Employ It?

  • By maintaining a cloud-based database for data collection, analysis, interpretation, and application.
  • Combining 5G with industrial IoT to ensure that production-related insights can be remotely accessed anytime, anywhere, by operators, managers & business owners.

The Benefits Of The Smart Manufacturing Process In The Pharmaceutical Industry

  • Smart Engineering:

One of the biggest advantages of Industry 4.0 is that it improves the quality of product design, quality control, and the supply chain. Blockchain-based smart contracts, intelligent automation, and data science come together to build upstream & downstream connected ecosystems for developing smart products, keeping the future in mind.

  • Operational Excellence:

Digital technologies (like ML, AI, IIoT, etc.) are employed to automate and streamline each step in production, from load balancing to inline quality inspection and scheduling processes to performance management, testing, etc. It eliminates the possibility of errors and the time constraints associated with manual labor. Smart sensors constantly monitor the manufacturing process, run background checks, and troubleshoot errors to ensure that the machine is properly maintained and the conditions for yielding high-quality products are always followed. It makes the entire process very efficient and cost-effective.

Moreover, limited human intervention mitigates any threat to life. Operators are involved in the monitoring and application of technologies, not in complex operations. Thus, the use of advanced analytics and fully automated technology reduces the risk of onsite accidents.

  • Greater Sustainability:

Contrary to the traditional method of mass production, smart manufacturing relies on renewable energy. It was introduced with the objective of optimizing energy consumption, controlling waste production, and reducing poisonous emissions. As it is eco-friendly, it significantly boosts the environmental footprint and helps businesses comply with local and global environmental regulations.

  • Optimization Leading To Differentiation:

Being different doesn’t always mean staying ahead of the competition. It also involves exploring new avenues of research and the development of better business models, new services, and products based on futuristic technologies (e.g., nanotechnology, bioinformatics, etc.). The concept of smart manufacturing allows businesses to acquire product variance through research, experimentation, and trials based on real-time insights without compromising quality or exceeding the project budget. It helps manufacturers stand out from the crowd.

  • Quick Implementation Resulting In Better Business:

In the case of smart manufacturing, operators can quickly implement any changes in the current process, apply different technologies, or upgrade existing protocols. It avoids low-quality products & allows companies to predict market conditions, reduce delivery times, overcome unforeseen challenges, and meet customer demands. It guarantees better customer satisfaction, builds a solid brand reputation, and lets manufacturers expand their business beyond the local markets.

All the aforementioned benefits of smart manufacturing lead to two major outcomes: better decision-making based on practical applications and an efficient problem-solving process resulting from brainstorming & the use of reliable technologies.

Are you looking for IoT-enabled smart manufacturing technology to increase the efficiency of manufacturing & operations and facilitate swift data exchange? Your search stops at Utthunga, a one-stop platform for all Industry 4.0 solutions. Utthunga’s diverse range of smart product engineering and industrial solutions, including IIoT applications, hardware & software development, device integration, industrial communication, security, and testing, etc., enable you to automate industrial processes and help you gain an upper hand on the competition. Connect with us to learn more about how we can help youembrace smart manufacturing.

 

FAQs

1. What are the challenges of smart manufacturing?
Being complex in nature, smart manufacturing entails higher costs for implementation. It also raises concerns regarding data protection and the need for training employees in digital skills. It requires a lot of planning, research, and thought-through implementation.
2. What technologies are used in a smart factory?
A smart factory uses a combination of smarthardware and software engineering solutions to automate manufacturing operations. Some of the network infrastructure components used include sensors, motors, smart controllers, integrated information systems, etc. The software technologies in use include AI, Big Data, analytics software, IIoT, cloud computing, etc.
3. Why do we need smart manufacturing?
Smart manufacturing offers multiple benefits to manufacturers. E.g., enhance the efficiency of the production process, access to real-time data, eliminate the risks of errors, ensure sustainability, boost the quality of product, etc.

Edge Device Manager: Applications in the IIoT World

Edge Device Manager: Applications in the IIoT World

“Plan it before you program it,” a saying that echoes loud and clear in IT circles, is essentially the ethos of any successful IoT project. Internet Of Things (IoT) is a booming concept with an ever-increasing acceptance rate. Amidst the fascinating trends that emerge in this domain now and then, Edge Computing certainly tops the list. The idea of processing data remotely without sending it to the Cloud is an appealing concept. However, the only roadblock is the lack of proper planning to execute Edge computing. Without arranging for edge management before edge processing, you’re simply setting yourself up for a major disappointment. So, here is some compelling explanation for why an Edge Device Manager is what your project needs right now!!

What Is Edge Device Management?

Creating a central network where all small and large edge devices are interconnected and where you can track the performance of each of these devices is the essence of Edge Device Management. This management also covers the functional tasks of diagnosing failures, overseeing security, and pushing updates. A good Edge Device Management strategy covers all of the following aspects:

  • Seamless Connectivity
  • The collection of IoT devices should remain connected at all times with industrial communication protocols to reap maximum benefits. Working in diverse network conditions is not possible without having a way to bridge the functions of all the devices somehow.
  • Robust Security
  • Instances of security lapses and breaches via the edge are prevalent. Therefore, having end-to-end security through special web-controlled applications is essential for good edge device management.
  • Easy Upgrades
  • Only an advanced firmware management process enables the scheduling and handling of updates periodically. This becomes essential to empower the Edge network to make local decisions more efficiently.
  • Future-proofing
  • Keeping the network future-ready so that any emerging technology and protocol is incorporated when the need arises is a hallmark of edge device management.
  • Ready To Install and Use
  • The software that empowers an organization to manage its devices should be convenient. Therefore, Edge Device managers should come as certified products delivered ready to install rather than individual tools for different functions. All data migration services require device managers of similar kinds.

Why Are Edge Devices Essential for IIoT?

The features and definition of Edge devices represent their utility for the Industrial Internet of Things (IIoT). In a nutshell, edge devices help transmit data between a local network and the Cloud. However, to send this data without a glitch, there needs to be an intelligent gateway that segregates, translates, and securely transfers data from the source to the Cloud. Edge devices play this crucial role. The Industrial Internet of Things (IIoT) needs optimization to improve productivity significantly. Industrial settings require real-time analysis and adaptations to changing demands, so they must be performed consistently without delays or downtimes. Since Edge computing provides a low-latency alternative through its fast local processing, Edge devices are the most viable option for IIoT applications. Edge devices for IIoT offer critical benefits, such as the condition-based monitoring service. They can analyze data to detect and report possible failures, which improves equipment uptime. The fast processing speeds also enable technicians to plan for potential repairs, which allows them to stay equipped with the necessary data to plan accordingly. A different perspective on why industries need Edge computing over Cloud computing is that the Cloud usually depends on third-party gateways to boost security. Confidential industrial data is somewhat at risk in such arrangements. On the other hand, the security-conscious approach of edge devices offers a solution to this problem, especially in extreme security environments where third-party security is not allowed.

Various Roles and Applications of Edge Device Manager in the World of IIoT

Edge device managers play the following pivotal roles in an Industrial Internet of Things (IIoT) setting :

  • Manage a Huge Influx Of Data
  • With data being received and transmitted in abundance, the impeccable management capabilities of edge device managers come off as a blessing. These applications make rapid decisions regarding which data to keep and which to discard, thereby cutting the clutter completely and promoting proper utilization of information.
  • Event Processing
  • Once the computationally heavy work of developing and recognizing patterns is completed, edge device managers, with their ability to guide the execution of plans locally, complete the necessary actions without requiring any intervention.
  • All-round Monitoring
  • The edge device manager commands it all, from detecting latency changes to monitoring bandwidth usage. Also, the power monitoring function of edge device managers is crucial in industrial environments where devices are placed at inaccessible locations.

The Bottom Line

Edge computing is the best way to centralize industrial computing systems sustainably and effectively. Edge device managers serve by creating a conducive environment for edge devices to prove their worth. With proper management, edge computing gives businesses the luxury of operating in a hands-off environment, significantly lowering the instances of failures and network latencies. Uthunga is a product engineering and industrial automation solutions company. We offer data migration services, Automated testing services, DevOps consulting services, and more. Our Edge Device management offerings are tailored for specific industrial usage. Contact us to learn more about our industrial automation solutions and DevOps Services.

Role of Protocol Simulator in Digital-Twins

Role of Protocol Simulator in Digital-Twins

Digital twins have revolutionized the way organizations think about their product design and development. This futuristic concept has become one of the major trends of industry 4.0 since IoT and simulator tools have become more and more prevalent. So, what are digital twins, why is it important for organizations, and what is the role of protocol simulators in digital twins? To find out the answers to all these questions, read on. 

What are Digital Twins and How do they Work?

Digital Twins are the digital representation of physical objects or procedures. They allow the transfer of data which is collected from IoT devices, sensors, edge hardware, and other embedded devices, thus, replicating the real data transfer process in product development companies. It is a mega model that provides comprehensive information about the physical device along with its mechanical elements, magnitude, and different functional aspects that it encompasses. Digital twins are created with the help of sensors, communication networks, and a digital platform. These virtual models can aid in implementing new technology trends by employing advanced analysis, monitoring, testing procedures, and services. 

You cannot understand the system behavior precisely through traditional methods as communication networks have become very complex these days. So, by using network protocol simulation tools, you can develop the networks in real-time. The network is molded with the help of devices, links, and applications to get accurate network performance reports. 

Importance of Network Protocol Simulator

A network protocol simulator depicts the model of the real communication network with its application traffic and operating environment. This can help in studying the behavior of real networks under different operating conditions in an economical manner without any kind of risk. However, this network protocol simulator must have adequate fidelity so that the network dynamics are reflected precisely. A reputed digital transformation services provider can run a reliable Modbus master simulator faster than in real-time and offer a wide range of Modbus protocol simulator tools for network visualization, and analysis. 

Some common protocol simulators are listed below:

  • HART

uSimulate HART helps in simulating the communication protocols, control systems, field devices, procedure flow, and network traffic. HART can simulate HART slave devices efficiently. This hardware simulator can play a crucial role in the verification of host systems such as AMS, DCS, configurators, calibrators, and also allows operator training.

  • GE-GSM

GE-GSM Simulation tools are capable of simulating GSM Gateway as well as the GSM protocol version 1-message types. It can frame a Virtual Plant Topology with the help of the Network Topology which is popularly known as the GSM Gateway Configuration tool and simulates different Process Signals along with the  Network Traffic.

  • IEC-104

IEC-104 simulator is an efficient protocol simulation tool that can support 255 independent client nodes. This slave simulator can test the compliance as well as the performance of your IEC-104 masters by running on multiple platforms. It is a vital aspect in the power grid networks in which the reliability of the process is assured by the efficiency and speed of how the IoT devices share information between them. IEC 104 is a comprehensive communication protocol for seamless communication between the control station and the electrical substation.

Benefits of protocol simulations using digital twin

There is a range of advantages to be gained through the use of simulation, such as:

  • Lower Financial Risk

Financial risk is less in simulations as compared to real-life experimentation.The simulator proves to be an economical investment for verification of various host systems like AMS, DCS, Configurators, Calibrators, Diagnostics, etc. In real-world systems, the potential costs include hiring staff, buying new expensive equipment, and much more. Protocol simulation enables you to test theories and prevent costly real-life errors.

  • Repeated Testing in exactly the same conditions

Different theories can be tested conveniently by simulations, thus, allowing innovations in exactly similar circumstances. You can even test and compare your innovative ideas without any deviation.

  • Gain Better Insights of Process for Improvement

Required improvements can be integrated easily at any time throughout the product development process by testing different theories through protocol simulation.

  • Know the Short and Long-Term Impacts

With the help of a Modbus RTU protocol simulation, you can peep into the future by thoroughly analyzing the impacts in the coming years in just a few seconds. It enables you to see both short as well as long-term impacts to make more informed decisions that can prove to be beneficial in the future.

  • Assess Random Events

You can assess random events with a protocol simulation like an unexpected staff or supply chain issue.

  • Analyze Non-Standard Distributions

You can track non-standard distributions with ease along with analyzing your set parameters. When you take note of all changing parameters with the help of a simulation, you can mimic the real world more accurately.

  • Boost Stakeholder Buy-In

A Modbus tcp master simulator can also improve buy-in from your partners, and stakeholders. The results of any procedure changes can be visually demonstrated, thus, improving engagement with the stakeholders or even enabling a sales pitch based on simulation.

In the present competitive age, you must implement this potentially disruptive technology. However, the preciseness of digital twin models relies mainly on the accuracy of the data that is used in designing them. Utthunga is one of the top product development companies having a highly experienced team of professionals who can support projects of any scale and overcome all kinds of challenges with their cutting-edge digital twin technology and best-in-class DevOps Services. Utthunga’s protocol simulators have been created by experts on a world-class simulation framework, uSimulate which is easily configurable and boasts high performance.

How OPC UA is Revolutionizing Industrial Automation

How OPC UA is Revolutionizing Industrial Automation

revolutionizing Industrial Automation

Think about a production plant or a manufacturing unit, it is a visual cacophony of machines, robots, assembly lines, drives and many more parts, and yet completely (almost!) synchronized and working together. Bringing all of them together is the Industrial Internet of Things coupled with the open, Ethernet-based OPC UA communication standard that forms an critical part of the industrial automation landscape.

OPC UA does the job of integrating the IT/OT technologies with the diverse products, solutions and services across the entire OEMs, factory and process systems. Whether it is the security measures, networking, establishing standardized communication or needing a vendor and platform neutrality, OPC UA lays the foundation for a digitized industrial automation .

Source: Opcfoundation.org, OPC UA Interoperability for Industry 4.0 and IoT.

Connecting machine data to the enterprise

It is a fact that automation in the industrial world open doors for new business opportunities, enhanced solutions and services. But, the reality faced is how to effectively transfer the raw data generated from the shop floor equipment to the business applications like ERPs, CRMs; and draw insights to take actionable decisions for a competitive advantage.

Having a fully automated OEM unit or process system means having real-time and accurate information from these systems for analysis, machine alerts, maintenance notifications etc. based on your priorities. OPC UA provides two paths for this integration process:

  1. Via customized development solutions and services through OPC UA stack APIs
  2. Providing COTS solutions such as connectors, servers, clients etc. that connect your machines, field devices and other equipment etc. to the enterprise

OPC UA is the open source communication standard protocol designed specifically for industrial automation. It acts as a bridge that connects the IT with the OT, for information exchange between machines, devices or within devices. Implementation of this magnitude needs extensive software and hardware support through the OPC SDK that helps the stakeholders to overcome the various development and integration challenges associated with this process.

Consisting of APIs, OPC UA stack, protocols and sample implementations that support different platforms like Windows, Android, iOS, Linux, and programming languages like C, C# and Java; the SDK makes your devices, products and applications to be OPC enabled.

Meeting the Industry 4.0 requirements

Industry 4.0 mandates interoperability and standardized data connectivity for meeting its specific requirements including but not limited to

  • Integration across all levels.
  • Secure transfer and authentication at user and application levels.
  • Conformity to industry standards.
  • Scalability.
  • Semantic mapping of various information models to represent the actual products and their production steps.
  • Ability to plug-and-produce (instant discovery mechanisms that identifies OPC UA enabled devices and their functions when added to a network)

OPC UA serves as the common data connectivity and collaboration standard for local and remote device access in IoT, M2M, and Industry 4.0 settings. It supports OPC UA Server development, OPC UA Client Development and OPC UA Nano Server development for various communication mechanisms:

1. OPC UA client/server Model:

This one-to-one communication mechanism is used extensively in automation. The OPC server transfers the data to the OPC client based upon request in a secure, encrypted and reliable manner using the communication protocols such as EtherNet/IP, Modbus, etc.

2. OPC UA PubSub Model:

In the network, one-to-many or many-to-one communication mechanism is established. The data is available from the publisher, which can be accessed by multiple subscribers. Along with Time-Sensitive Networking (TSN) and cloud environment, OPC UA PubSub enables real-time communication at the control level (sensor, actuator or embedded devices) and meets the demands of time-critical applications.

3. OPC UA over TSN:

While OPC UA provides a standardized mechanism for data communication in a secure way; TSN is the infrastructure of vast array of sensors, actuators and other automation devices that extends the OPC UA information model down to the field level. TSN provides interoperability to the data link (layer 2) of the communication network. Thus, allowing guaranteed, optimized and scalable bandwidths for real-time capability and low latency in the network.

Utthunga’s OPC Spectrum

Utthunga’s comprehensive integrated automation service portfolio extends from the field-level devices to the enterprise-level systems. Enabling in this endeavour is Utthunga’s uOPC Suite, OPC product portfolio; and consultation and development services that help manufacturers to take advantage of all the modern technologies like AI, mobile devices, big data, machine learning, predictive maintenance, machine vision and more to create a smart industry automation environment.

As a flexible partner for OPC UA, our OPC offerings designed by experienced and certified professionals provide both horizontal (between devices from different vendors on different networks) and vertical support (from the factory floor to the enterprise level) thus enabling the industry 4.0 ecosystem.

Our technical and domain expertise in embedded, mobile, multi-platform and cloud connectivity for OPC UA Server development, OPC UA Client Development and OPC UA Nano Server development using the uOPC Suite helps in planning, executing, and delivering high-grade services and turnkey projects. It is designed to drastically reduce time and efforts to build custom solutions with easy integration and configuration.

Partners, end users, and customers can leverage our IP to deliver mix of solutions and services for:

  • Building products using out accelerators (protocol stacks, edge connectivity stack – uCOnnect, cloud application framework- Javelin)
  • Connecting heterogeneous system using our industry protocols stacks (HART, FF, PROFIBUS, PROFINET, EtherNet/IP etc.)
  • Creating field device integration and connectivity (FDT/DTM, FDI, OPC) solutions

Please visit our website or contact us directly to learn more about our OPC UA capabilities.

Software Testing in Industry 4.0

Software Testing in Industry 4.0

The fourth edition of the Industrial Revolution, or Industry 4.0, as it is commonly known is here to stay. The industrial processes are now witnessing a collaboration of information technology (IT) and operational technology (OT) for overall performance and business improvement. As digital transformation paves its way, industries are using more and more software to accomplish various tasks. Software vendors, be it ISVs or industrial OEMs, need reliable software testing tools to ensure the quality of these systems.

The quality and sustainability of an industrial automation system has to be thoroughly tested before it reaches the market. The software needs to be reliable and defect free to prevent any serious health or financial damage to the company. It needs to undergo field device testing, interoperability testing, pre-compliance or pre-certification testing and security testing besides the usual functional and non-functional testing.

Functional testing:

Ensures each function of the software is in compliance with the required specification Is independent of the source of the codes
Involves black box and white box testing
Necessary and relevant inputs are given and the results are compared with the ideal outcome

Nonfunctional testing:

Ensures features like software usability, reliability, security, etc. are in place and the product is ready to be launched
Primary focus is on customer expectation
Gives insights into the working of the software
Software testing in industrial automation systems
In the internet of industrial things, variety of systems and components are connected together to work as a single system. An IIoT network can be said to be a combination of:

Field devices like sensors, actuators
Embedded devices
Desktop applications
Enterprise applications
Cloud applications
Each of these is dependent on software in some way or the other. Therefore, for assurance of quality, it is imperative to carry out testing for each of these component types.

To test each of them, a proper test framework required. The framework functions at different levels and tests various industrial field devices, hosts, applications and network for both functional and non-functional parameters. Here the quality assurance professionals ensure delivery of product and solution as per guidelines and specifications. Software testing involves setting of test jigs and test beds, which provide support for both actual testing and test simulations.

Some of the testing areas are as below:

Industrial sensors

Industrial sensors are an imperative part of the industrial automation system. They help collect measurable data for functional testing purposes. The type of testing of sensors depends on the nature and application of sensors in the field.

Embedded devices

In order to check if the software and hardware in an embedded system meets the required expectations of both functional and non-functional attributes, it needs to be tested. Any protocol compliance testing company will run tests that not only picks out the bugs but also improves the system performance, efficiency and reduces the risks for both company and its customers.

Desktop and enterprise applications

A desktop application is essentially a software that monitors or controls the devices or performs other tasks (local to the plant) from a desktop. Enterprise applications on the other hand are mostly web-based that provide a business or an enterprise with macro information that directly impact profitability.

Cloud/on premise applications

Whether you use a third-party application like cloud to store data or store everything within the company, you need to make sure the applications are safe, secure, available and efficient.

Conclusion

With the continued adoption of IIoT and the explosion in the number of things/nodes in the local, private and public industrial networks, software vendors must ensure that their products are top notch with few or no defects. Defective or error prone nodes in the network will become the bottleneck and undermine the value of the entire system.

It is here that testing frameworks and rigorous device testing and compliance testing play an important role to ensure industrial products operate as expected.

We at Utthunga are experts in providing end-to-end testing services that includes software, hardware and firmware. Contact us to know more about our software testing which is so very critical in the era of Industry 4.0.