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  • Edge Computing is Now the Stepping Stone for Smart Manufacturing Success!

    Edge Computing is Now the Stepping Stone for Smart Manufacturing Success!

    What are the Growth Drivers for Edge Computing?

    IDC research predicts that 45% of the data created by IoT will be stored, processed, analyzed and processed at the near end or edge of IoT, and more than 6 billion devices will be connected to edge computing solutions by the end of 2023. Edge computing infrastructure minimizes the inherent challenges of cloud infrastructure (such as network latency, network bandwidth and data storage costs, security and compliance issues), which is the single most important key driver of edge technology.

    The history of manufacturing is marked by major changes brought about by new technologies in the last couple of centuries. The first industrial revolution captured the power of water and steam. The second revolution brought electricity to factories, and the third revolution brought computerized automation. Today, the Fourth Industrial Revolution has ushered in the era of smart manufacturing, driven by new digital technologies for capturing and analyzing data and gaining insights and efficiency from data through not only edge computing but also artificial intelligence applications. Smart manufacturing supported by digital technology and enterprise-level infrastructure is the key to reducing downtime, improving product quality, increasing overall output, and exceeding current and future business goals.

    To effectively compete in this new era, manufacturers must adopt smart manufacturing processes and the leading infrastructure that supports it. Delaying this conversion is no longer a viable option. Companies that want to remain competitive must now embrace a complete smart manufacturing journey.

    How Do You Get There Though? How Do You Embark on a Smart Manufacturing Journey?

    This is the journey from the factory floor using Edge Computing. Edge computing is an accelerating ramp towards smart manufacturing and Industry 4.0. In the industrial and manufacturing environment, there are two edges – the industrial edge and the enterprise edge.

    Industrial Edge computing solves the problem of extracting data from traditional industrial assets such as PLC, DCS, robots and controllers, as well as the challenges of interfacing with hundreds of protocols, a large number of connected sensors, different data sources, and incompatible data formats. This is the key point for industrial equipment and factory systems to meet the digital world. Industrial Edge Computing provides the data context, repeatability, security and scale required for true conversion.

    Standardized, rugged gateways can be quickly and repeatedly deployed to the field or factory floor through an IT-approved enhanced operating system. Applications for virtualization and containerized OT (Operational Technology) can be deployed at this edge to convert traditional protocols and sensor readings into analytical quality data, ready for any enterprise or business application in the data center or cloud.

    Enterprise Edge deploys enterprise-level infrastructure and modern IT concepts locally on the factory floor or on-site. Systems at the edge of the enterprise need to manage and aggregate hundreds of data streams from the industrial edge. They can help bridge the gap between IT and OT organizations. Enterprise Edge Compute resources can manage Industrial Edge, deploy containerized and virtualized applications, provide cloud-native principles on Edge, and can immediately generate valuable insights through real-time and streaming analysis.

    Computing at the edge of the enterprise can help manufacturers significantly reduce their cloud computing costs while providing low latency to achieve immediate response and real-time insights from the analysis of IoT data. It also addresses key regulatory and governance issues related to data sovereignty and the prohibition of cross-border mobile data.

    There are usually three types of edge computing:

    • Local Devices and Equipment: The local equipment can meet the defined and specified purpose. These are easy to deploy and maintain.
    • Localized Data Centers: The localized data center can provide powerful storage and processing capabilities. These are pre-designed and can be customized and assembled on site. They save capital expenditures (CAPEX) very well.
    • Regional Data Centers: These are closer to data sources than centralized cloud data centers. They will have higher storage and processing capabilities than local data centers, but they will cost more and require more maintenance. These edge devices can be designed to be manufactured to order or prefabricated.

    Five Substantial Advantages the Edge Brings to Smart Manufacturing and Industry 4.0

    Lower latency

    One of the most frequently mentioned benefits of the edge is that it can greatly reduce the waiting time. It takes time to send the request to data centers around the world, and then wait for the response to return. Therefore, traditional cloud computing is not an ideal choice for many mission-critical applications.

    Without such low-latency smart manufacturing, you will not be able to experience all the advantages of the IoT. If the connected machine on the assembly line recognizes a fault, any delay in transmitting that signal can be costly. Otherwise, parts may stop functioning or even be damaged beyond repair. Low latency is essential for the normal operations of interconnected systems. The nature of traditional cloud computing is limited in this regard.

    Increased Cybersecurity

    Contrary to what is touted by most technology industries, for personal gain, cloud is not a hard requirement for the Industrial Internet of Things. You do not necessarily need a cloud IoT platform. Industry 4.0 is all about connected machines, so your manufacturing process can respond faster and smarter to changing factory floor conditions. Connecting assets will help you achieve a higher level of agility and automation. But this also increases your risk. More connected organizations can provide more attack surface and are more vulnerable to cyber attacks. However, your Industry 4.0 strategy can minimize risks through edge computing.

    If you process as much data as possible at the edge instead of sending them to the cloud, the risk of interception or tampering is much lower. A powerful edge computing system allows you to keep most of your IT and OT systems in a secure network.

    More Manageable Data Analytics

    Bringing intelligence to your manufacturing operations means collecting and analyzing data from sensors in your equipment to make real-time decisions and predictive maintenance. However, even in a modest Industry 4.0 project, the amount of data can overwhelm existing and new systems and increase bandwidth, data storage, computing, and data science huge costs.

    Processing most of the data at the edge to filter out the signal from the noise can help ensure that you only focus on the most important information, which greatly reduces the cost of data.

    Expanded Interoperability

    Edge computing can be the integration layer between your factory data and ERP systems. Just as edge computing can help you connect devices and processes without sending data to the cloud, it can also integrate factory floor data with ERP systems without cloud.

    Companies are rapidly moving towards event-driven architectures and expectations for real-time automated digital processes. Edge computing can be a real-time, event-driven integration layer between factory floor data and enterprise systems that can help you accelerate and automate business processes and digital insights.

    Reduced Storage Costs

    Smart manufacturing involves a large amount of data that needs similar storage. Traditional local storage options can be inconvenient, and cloud services can be expensive. Storing data at the edge is the ideal middle ground. With edge storage, factories can choose to only send relevant data to their cloud solutions. By analyzing data locally and sending only the results or aggregated data to the cloud, the edge can act as a gateway.

    In addition to reducing the pressure of cloud-based analytics, this also helps save storage costs. Some edge applications can even save some data locally. They do not need much storage, because each machine only processes its own operating data. The result is a segmented, organized and affordable data storage solution.

    Pratiti’s PraEdge – an Edge Computing Platform

    Pratiti has developed its own Edge Platform – PraEdge, for building IoT Apps on Edge to enable industrial device connectivity with a simple drag and drop interface, application deployment, and secure access to remotely located gateways.
    Key Features of PraEdge are:

    • It is meant for collecting data from various industrial systems, aggregate, analyse and connect it to cloud systems.
    • Industrial systems include Sensors, PLCs, Industrial Controllers, SCADA systems or Historians.
    • It is meant for on-premises of Discrete Manufacturing, Process Manufacturing, Power Generation, Water Distribution, Sewage Treatment etc.
    • It is meant for various requirements of IoT apps ranging from data acquisition services to building full-fledged apps to run within plant firewalls.
    • It is deployable on Industrial PCs or Windows Servers or Linux Servers.
    • Benefits include maximum privacy & security, enablement of proactive use cases, lower bandwidth & latency issues, reduced hosting costs and real time insights and triggers.

    In Conclusion

    The future of Industry 4.0 depends on edge computing. Industry 4.0 can only go so far. If the IoT is a computing step after the cloud, then the edge is the next logical step after the IoT. If this technology is not adopted, Industry 4.0 will not be able to develop all its functions and realize its maximum potential.

    This transition is almost inevitable but will not happen overnight. The speed at which the manufacturing industry can enter the next industrial revolution depends on the speed at which it implements these latest technologies. To realize the maximum potential, it is important to adopt edge computing and make it a cornerstone of your digital transformation initiatives, wherever applicable. To start your edge journey, reach out to us today!

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

  • The Role of Cloud Computing In the Internet of Things (IoT)

    The Role of Cloud Computing In the Internet of Things (IoT)

    Internet of Things (IoT) has gradually changed the way daily tasks are completed. IoT has spawned a network of interconnected devices and sensors, which is revolutionizing the way we perform daily tasks. Smart cities, smart homes, smart factories, smart retail, connected cars and wearable devices prove how connected devices can disrupt the status quo, creating an efficient, smart & automated planet. In addition to providing smarter solutions for families and housing communities, IoT is also used as a tool in the business environment of various industries. The IoT is booming, and predictions are promising – Statista estimates that by 2025, there will be 75 billion connected devices. Interestingly, these IoT devices themselves do not provide any major benefits, because the data they collect can be transformed into meaningful information, paving the way for the development of the IoT. However, due to the large amount of big data generated by the IoT, the Internet infrastructure is under great pressure. This makes companies and organizations look for a solution that can alleviate this burden.

    Enter cloud computing as an on-demand delivery of computing power, database storage, applications and IT resources. It enables organizations to consume computing resources such as Virtual Machines (VMs) instead of building computing infrastructure internally or on-premises. No wonder 96% of organizations have adopted the cloud in one form or another. Today, cloud computing has penetrated mainstream IT and its infrastructure. Many technology giants such as Amazon, Alibaba, Google and Oracle are using cloud technology to build Machine Learning tools to provide a wider range of solutions for global enterprises. In this blog, we will discuss why cloud computing is essential for the growth of the IoT.

    How Does IoT and Cloud Complement Each Other?

    Based on the principles of scalability and agility, cloud is hailed as a global revolutionary technology. Cloud solutions can promote the mass adoption of IoT initiatives. Here are some key reasons why the cloud is essential to the success of the IoT.

    Cloud computing and the IoT are dedicated to improving the efficiency of daily tasks, and there is a complementary relationship between the two. On the one hand, the IoT generates a lot of data, on the other hand, cloud computing paves the way for the transfer of these data. Many cloud providers use this advantage to provide a pay-per-use model in which customers pay for specific resources used. In addition, cloud hosting as a service reduces its overall cost structure by providing economies of scale. Cloud computing also facilitates developers to store and access data remotely and the cloud enables developers to implement projects without delay.

    • Remote Computing Capability:

      Cloud technology enables the IoT to surpass conventional devices, such as air conditioners, refrigerators, etc. This is because the cloud has such a large storage space that it eliminates the dependencies on on-premises infrastructure. With the rapid development of 5G and Internet speed, cloud technology has become the mainstream, enabling enterprises to access remote computing services with a single click of the mouse.

    • Security and Privacy:

      The prosperous development of IoT devices may enable organizations to perform tasks automatically, but it also brings serious security risks. A cloud with a wide range of control can be a viable solution here. Cloud makes the IoT more secure through preventive, detective, and corrective control. By providing effective authentication and encryption protocols, it provides users with strong security measures. In addition, with the help of biometric technology, IoT products can also manage and protect user identities. All of this is possible because to the enhanced security provided by the cloud.

    • Data Integration:

      With the continuous development of the IoT, companies have begun to try to use connected devices to extract real-time information about key business processes. Although these devices improve operational efficiency and optimize costs, they also generate huge amounts of data, which are too cumbersome to process even for their analytics platforms. Cloud-based solutions are very useful here. The cloud system has powerful data integration capabilities that can handle large amounts of data sent from multiple sources. As a result, data from enterprise systems and connected devices are stored, processed, and analyzed in the same location.

    • Low Threshold:

      Nowadays, many innovations on the IoT are looking for plug-and-play hosting services. Therefore, the cloud is very suitable for the IoT. Hosting providers do not have to rely on large equipment or even any type of hardware that does not support the agility required by IoT devices. With the emergence of innovative cloud hosting solutions, barriers to entry for most IoT-based companies have been minimized, allowing them to seamlessly implement large-scale IoT plans.

    • Business Continuity:

      Cloud computing solutions are known for their agility and reliability. Cloud services are located on top of a network of servers located in multiple locations. Their system stores copies of data in multiple data centers. Due to this redundancy, even if one of the servers goes offline for some reason or other reasons, IoT-based operations will continue to work. In addition, there is no risk of data loss as well.

    • Communication Between Devices:

      In addition to communicating with us, IoT devices and services also need to be connected to each other. Cloud solutions facilitate seamless communication between IoT devices. They support many robust APIs, such as Cloudflare, CloudCache and Dropstr, and allow interaction between connected devices and smartphones, paving the way for the development of connected technology.

    • When Paired With Edge Computing:

      In IoT-based solutions, edge computing or data processing near the edge of the network where the data is generated are usually used to shorten response time and speed up data processing. The deployment of the IoT usually uses a combination of cloud computing and edge computing for maximum utilization. Only the best combination of cloud and edge can help companies get the most value from their IoT plans. Even though the cloud can accelerate the growth of the IoT, there are certain challenges and shortcomings in deploying cloud technology. It is not because the cloud is technically flawed, but the combination of the IoT with the cloud is bound to bring in some obstacles for the users. If you continue to use IoT cloud solutions, it is best to know in advance the challenges you may face.

    What are the Challenges That Cloud and the IoT Bring Together?

    • Handling Large Amounts of Data:

      Processing large amounts of data can be overwhelming, especially when there are millions of devices. This is because the overall performance of the application is threatened. Therefore, following the NoSQL movement may be beneficial, but it has not been tried and tested for a long time. Therefore, for the cloud, there is no sound or foolproof way to manage big data.

    • Network and Communication Protocol:

      Cloud and the IoT involve Machine-To-Machine communication between many different types of devices with various protocols. Since most application areas do not involve mobility, managing this change can be difficult. So far, Wi-Fi and Bluetooth have been used as stopgap measures to promote mobility to a certain extent.

    • Sensor Networks:

      The sensor networks enable users to measure, infer and understand fine-grained indicators from the environment. However, processing large amounts of such sensor data in a timely manner has always been a major challenge. Although the cloud provides new opportunities for aggregating sensor data, it also hinders progress due to security and privacy issues.

    In Conclusion:

    The integration of cloud computing and the IoT heralds the next major leap in the Internet world. The combined new application is called IoT Cloud, which opens up new avenues for business and research. Cloud technology can play a very important role in unlocking the true potential of the IoT in the near future. To know more about how cloud and edge computing coupled with IoT can help your organization in your digital transformation, contact us today!

    Pratiti is an innovative Product Development company that possesses rich expertise in crafting and delivering software solutions using the latest digital technologies such as IoT, cloud computing, edge computing, data sciencedigital twin and AR/VR to name a few. The Pratiti team helps their customers realize value while working with integrity, certainty and insight; thus, becoming the trusted technology partner in their digital transformation journey.

    Our Services:

    Industrial IoT Companies | Offshore Software Product Development Healthcare Software Development | Digital Product Company

    Nitin
    Nitin Tappe
    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.
  • Why Application Testing Is So Important For A Successful Cloud Migration?

    Why Application Testing Is So Important For A Successful Cloud Migration?

    Moving applications and data to the cloud has helped organizations with functionality and flexibility. Migrating to the cloud is a strategic move, and organizations are adopting the cloud to realize various business benefits. Using cloud-based services is relatively more efficient, highly secure, and increases productivity, without any performance failures in the seamless expansion mode and safe operating environment. In addition to a reasonable pricing model, the use of multi-tenant features cannot be matched by the local infrastructure. Cloud migration testing can meet many business needs, such as improving operational efficiency, upgrading customer experience, providing omni-channel experience, and so on.

    Many cloud platform providers (such as Azure, Google Cloud Platform, and AWS) provide these high-yield services. They curb high procurement costs and provide services for expensive physical equipment to test applications/software before releasing products on the market.

    recent Forbes report states that “By 2020 a staggering 83% of the company workload will be stored on the cloud” which implies that many companies are already transferring their data and hosting their applications in the cloud. Another recent O’Reilly survey shows that 25% of businesses plan to move all their applications to the cloud within the next year. More and more businesses are leveraging the many benefits of the cloud. A report by Gartner forecasts that worldwide public cloud revenue will grow exponentially through 2022. Almost one-fourth of cloud budgets are spent on cloud-related services such as cloud consulting, implementation, migration, and managed services.

    Through this blog, we have consolidated our Subject Matter Experts’ thoughts on why you should test your applications after migrating to the cloud, why Cloud Migration is not complete without Testing, and What to test when migrating your application to the cloud.

    Why Should You Test Your Applications After Migrating to the Cloud?

    1. Avoid Hacking from Cybercriminals:
      During the migration process, security controls and compliance configurations may be destroyed, resulting in security vulnerabilities, which cybercriminals may take advantage of. Testing your application after the cloud migration ensures that all security mechanisms still exist.
    2. Improved Scalability:
      It also ensures that the application is running at the same or higher performance as before the migration. During the application testing phase, you can find settings and controls that can be adjusted to improve the overall scalability of the network system.
    3. Reduced O&M Costs:
      After migrating to the cloud, you need to ensure that mission-critical data, applications, and interfaces are still accessible. It is better to find out now, rather than later discovering that the third-party application is not yet fully integrated or has no access to the decision data. This helps avoid loss of revenue or unexpected Operations and Maintenance (O&M) costs in the future.
    4. Compatibility Check:
      The application testing process also makes sure that new applications and technologies are compatible with the new cloud environment and meet industry compliance requirements. Nobody likes to find out that the new technology is not compatible with the new environment or with your application.

    Why is Cloud Migration Incomplete Without Testing?

    To ease the cloud migration testing process for QA teams, it is important to implement the right test strategy. With the right test automation strategy in place, IT companies and QA testers can carry out cloud migration within an optimal time and take their product to the market sooner. There are tremendous benefits when Test automation is carried out using cloud testing platforms like AWS Device Farm, Sauce Labs, and Xamarin Test Cloud. Some of these benefits are:

    • Use appropriate quality gates to handle many test cases.
    • Using automation to accelerate cloud migration testing.
    • Expanded the scope of testing in platforms, browsers, and devices.
    • Effective communication and collaboration with stakeholders.
    • Parallel execution.
    • Test reporting.
    • Seamless DevOps integration.
    • Scalability.
    • Reduced infrastructure costs.
    • Advanced analysis of test results.

    What to Test When Migrating Your Application to the Cloud?

    1. Application Integration:
      After migrating your application to the cloud, perform integration tests to confirm that the application has been seamlessly integrated with the new infrastructure and other third-party applications. Integration testing includes checking whether APIs and libraries are still working and whether the dependencies between applications have been broken. In order to successfully perform integration testing, you need to be vary of the systems and interfaces that should be tested for integration, the resources you need to ensure effective verification and integration testing, the plan to test third-party components, and the mechanisms you can use to identify coordination issues in the new cloud environment. It is always worthwhile to spend a few extra bucks to ensure that there are no errors in the integration.
    2. Application Security:
      When storing data in the cloud, security is the most important factor. The cloud-based environment comes with advanced security technologies that can mitigate some of the most complex cyber-attacks. Since new forms of malware and viruses are released every day, you need to confirm that the data and network environment are still safe after the cloud migration. Application security testing involves performing various tests, including penetration testing, security audits, and vulnerability scanning. To develop an effective security testing plan, you need to know the type of sensitive data that you store, use or transmit as well as users who can access this data. One needs to be also cognizant of what compliance requirements need to be considered and what data access controls are available. During the security test, please ensure that only authorized users can access your cloud network, preventive measures against common threats are in place and functioning normally and the data in transit, in use, and sitting idle is properly secured.
    3. Application Performance:
      The final process of determining the successful migration is performance and response times. This important step ensures that your customers and end-users still get at least the same level of performance as before the migration. You need to ensure that performance expectations and your SLAs with the cloud provider are met. You need to carefully identify and document the end-to-end process of all business applications; identify and resolve any application architecture not supported by the cloud; determine monitoring requirements and set up appropriate tools and perform load testing in parallel with traditional networks to confirm response time is in accordance with the SLAs.

    In the process, you may also encounter areas where workloads can be optimized to take advantage of the underlying advanced technologies in the new cloud environment.

    Application Testing is a very important part of cloud migration strategy that cannot be ignored. At Pratiti, we possess rich expertise with devising Cloud Strategies, building and testing Cloud-Native Applications, Cloud specific frameworks, Microservices development, Managed Services, and more. If you are looking to adopt cloud or migrate your applications to the cloud, do get in touch with us today for a seamless experience.

    Our Services
    Industrial IoT Companies | Data Analytics SolutionsHealthcare Software Development | Digital Twin Platform

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

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