QE strategy to mitigate inherent risks involved in application migration to the cloud

Cloud migration strategies, be it lift & shift, rearchitect or rebuild, are fraught with inherent risks which need to be eliminated with the right QE approach

The adoption of cloud environments has been expanding for several years and is presently in an accelerated mode. A multi-cloud strategy is the defacto approach adopted by multiple organizations, as per Flexera 2022 State of the Cloud Report. The move toward cloud-native application architectures, exponential scaling needs of applications, and increased frequency and speed of product release launches have contributed to increased cloud adoption.

The success of migrating the application landscape to the cloud hinges on the ability to perform end-to-end quality assurance initiatives specific to the cloud. 

Underestimation of application performance

Availability, scalability, reliability, and high response rates are critical expectations from an application in a cloud environment. Application performance issues can come to light on account of incorrect sizing of servers or network latency issues that might not have surfaced when the application is tested in isolation. It can also be an outcome of an incorrect understanding of probable workloads that can be managed by an application while in a cloud environment. 

The right performance engineering strategy involves designing for performance in mind and fulfilling performance validations, including load testing. This ensures that the application under test remains stable in normal and peak conditions and defines and sets up application monitoring toolsets and parameters. There needs to be an understanding of workloads with the potential to be moved to the cloud and ones that need to remain on-premise. Incompatible application architectures need to be identified. Load testing should be carried out in parallel to record SLA response times across various loads for those moved to the cloud. 

Security and compliance

With the increased adoption of data privacy norms like GDPR and CCPA, there is a renewed focus on ensuring the safety of data migrated from application to cloud. Incidents like the one with Marriott hotel, where half a million sensitive customer information like credit cards and identity were compromised, have brought the need to test the security of data loaded onto cloud environments. 

A must-have element of a sound QA strategy is to ensure that both applications and data are secure and can withstand malicious attacks. With cybersecurity attacks increasing both in quantity and innovative tactics, there is a strong need for the implementation of security policies and testing techniques, including but not limited to vulnerability scanning, penetration testing, and threat and risk assessment. These are aimed at the following.

  • Identifying security gaps and weaknesses in the system
  • DDoS attack prevention
  • Provide actionable insights on ways to eliminate potential vulnerabilities

Accuracy of Data migration 

Assuring the quality of data that is being migrated to the cloud remains the top challenge, without which the convenience and performance expectation from cloud adoption falls flat. It calls for assessing quality before migrating, monitoring during migration, and verifying the integrity and quality post-migration. This is fraught with multiple challenges like migrating from old data models, duplicate record management, and resolving data ownership, to name a few. 

White-box migration testing forms a key component of a robust data migration testing initiative. It starts off by logically verifying a migration script to guarantee it’s complete and accurate. This is followed by ensuring database compliance with required preconditions, e.g., detailed script description, source, and receiver structure, and data migration mapping. Furthermore, the QA team analyzes and assures the structure of the database, data storage formats, migration requirements, the formats of fields, etc. More recently, predictive data quality measures have also been adopted to get a centralized view and better control over data quality. 

Application Interoperability

Not all apps that need to migrate to the cloud may be compatible with the cloud environment. Some applications show better performance in a private or hybrid cloud than in a public cloud. Some others require minor tweaking, while others may require extensive reengineering or recoding. Not identifying cross-application dependencies before planning the migration waves can lead to failure. Equally important is the need to integrate with third-party tools for seamless communication across applications without glitches. 

A robust QA strategy needs to identify applications that are part of the network, their functionalities, and dependencies among applications, along with each app’s SLA since dependencies between systems and applications can make integration testing potentially challenging. Integration testing for cloud-based applications brings to the fore the need to consider the following: 

  • Resources for the validation of integration testing 
  • Assuring cloud migration by using third-party tools
  • Discovering glitches in coordination within the cloud
  • Application configuration in the cloud environment
  • Seamless integration across multiple surround applications

Ensure successful cloud migration with Trigent’s QE services

Application migration to the cloud can be a painful process without a robust QE strategy. With aspects such as data quality, security, app performance, and seamless connection with a host of surrounding applications being paramount in a cloud environment, the need for testing has become more critical than ever. 

Trigent’s cloud-first strategy enables organizations to leverage a customized, risk-mitigated cloud strategy and deployment model most suitable for the business. Our proven approach, frameworks, architectures, and partner ecosystem have helped businesses realize the potential of the cloud.

We provide a secure, seamless journey from in-house IT to a modern enterprise environment powered by Cloud. Our team of experts has enabled cloud transformation at scale and speed for small, medium, and large organizations across different industries. The transformation helps customers leverage the best architecture, application performance, infrastructure, and security without disrupting business continuity. 

Ensure a seamless cloud migration for your application. Contact us now!

Underlying challenges manufacturing enterprises face during cloud migration

Cloud migration has increased enormously as manufacturing companies gain and maintain a competitive edge. A fundamental paradigm shift in planning and orchestrating business models is required. Manufacturing companies need to ensure that management and IT teams work together to build a product and cloud service portfolio that complement each other and are aligned for operational excellence. 

Although manufacturing companies produce tons of data, the irony is that there isn’t enough information. Manufacturers find transformation difficult since equipment lasts for decades, and replacements are costly. They tend to have siloed data that sits in a data lake before being used appropriately. When interconnected, they struggle to deal with unstructured data and the process required to scale that solution across the enterprise. Many manufacturing companies are now addressing this issue with an edge platform.

Jabil1, the manufacturing solutions provider, quickly addressed the data problem. Its plant floor quality assurance solution organizes data to analyze issues in real-time and offers a high prediction accuracy rate. With an ability to identify errors even before they occur, Jabil sees substantial productivity improvements. 

While young companies may find it easier to hop onto the Cloud, large enterprises often find themselves struggling under the weight of legacy IT systems that are somewhat rigid and may require more extended transition periods. 

We aim to uncover ways to circumvent these issues to ensure quick transitions and faster cloud success.

Implementing the right strategy ensures a successful migration to the Cloud. Let’s discuss

The state of cloud migration in manufacturing

As per a recent survey, the number of companies using cloud technologies as part of their digital transformation endeavors has increased from 51% in 2019 to 62% in 20212. During this time, edge computing deployments grew from 43% in 2019 to 55% in 2021, while fog computing, known for its capabilities to create a small, cloud-like computing infrastructure, rose from 20% in 2019 to 25% in 2021. 

The jump is not surprising because manufacturing processes require real-time control and response rate to operate and support efficiently while checking on downtimes. Cloud helps in remote monitoring, collaboration, and building a data-driven culture. 

A classic case in point is UNOX3. Its pursuit of creating ‘intelligent’ ovens took the cloud route to develop new cutting-edge projects for data-driven cooking. 

UNOX has revolutionized its customer service via an omnichannel cloud contact center that enables it to meet 95% of service-level customer requests efficiently compared to just 67% before cloud adoption. A managed live streaming service to create interactive video experiences and a content delivery network service to deliver content and applications with low latency and high transfer speed has helped it improve agility, scalability, and savings.

In the wake of the pandemic, remote monitoring compelled manufacturing companies to migrate to the Cloud. It allows them to create key performance indicators and enables plant floor managers to closely watch asset utilization and OEE (Overall Equipment Effectiveness). 

Automation technology supplier Emerson for instance, witnessed a surge in the use of sensors combined with edge gateways when manual on-site inspection became difficult. Explains Peter Zornio, chief technology officer at Emerson, “Previously, people were looking into automating some manual inspection with sensors and edge gateways but held back because they thought it was too expensive. But suddenly, without enough people on site to do inspections, the technology presented them with a way to move forward.”

While everyone is sold on the idea of migrating to the Cloud for its apparent benefits like flexibility, agility, enhanced privacy, security, and greater operational efficiency, the struggle to migrate successfully to the Cloud is real and overwhelming for many. In manufacturing setups, systems are usually interconnected with the plant equipment, leading to roadblocks on the way to cloud adoption. 

However, there are ways and means to avoid them. 

Create a robust cloud migration strategy 

The right cloud migration strategy based on a thorough assessment of your needs and resources can be a good starting point. 

Core Technology Molding Corporation, known for its highly engineered plastic products and tooling designs, has been able to keep operations running smoothly with a cloud-based ERP system. It allowed the company to address its need for monitoring processes in real-time when employees were forced to work from home.

The one that’s most appropriate for you should be found on the following considerations:

  • What are your business goals? What problems are you trying to resolve?
  • In which stages of production are downtimes most damaging for business? 
  • What are your security, regulatory & data privacy requirements?
  • How equipped are you to tackle disasters to ensure business continuity?
  • Are skills & experience internally available to undertake a cloud migration project?

Your cloud migration exercise has to be driven by a purpose. You need to identify the pain points to understand what could work for your business. 

Assess your cloud readiness

Cloud readiness is not just limited to tools and platforms but includes people and processes too. The digital literacy of your employees is crucial for successful cloud adoption. Cloud providers offer advanced tools, testing, and interface options to enable agile development in a typical manufacturing IT environment where the cost of experimentation and failure is extremely high. With hundreds of applications spread across multiple physical data centers in diverse geographical locations, fragmented IT poses a considerable problem. 

Cloud can enable standardization of infrastructure and platform to recover quickly from outages. Suntory Group, a Japanese multinational brewing, and distilling conglomerate, adopted AWS cloud to standardize their infrastructure and systems. The decision was part of its global expansion plan to accelerate processes following a merger or acquisition and reduce operational burden. The Group reduced infrastructure TCO (Total Cost of Ownership) in the Japan region by 25% soon after cloud adoption.

Manufacturers need data to forecast demand, expedite orders, check the quality, and predict equipment failures in real-time. They need to break data silos and make informed decisions to increase production capacity and improve the supply chain. They need a 360-degree view of the data to get deeper insights. Going beyond the mere ‘life and shift and wait’ approach is essential to gain greater sovereignty over your data.

Siemens, the manufacturing giant, has been leveraging Google Cloud’s data cloud and AI/ML capabilities to implement artificial intelligence at scale. By harmonizing the factory data, employees working on the plant floor can visually inspect products and predict the wear and tear of machines on the assembly line.

Collaborate with the right technology partner

Applications and Data cannot be moved overnight and will cause security concerns if you overlook the migration time that would be required. It’s therefore essential to have a meticulously crafted roadmap based on priorities, business goals, timelines, resources, and budget. 

While everyone understands the importance of cloud adoption, a whopping 74% fail to capture its total value, according to McKinsey’s recent Cloud in Discrete Manufacturing Industries survey4. 50% of respondents have found cloud technology more complex than they had perceived it, while 40% admitted to exceeding their cloud budgets.

Choosing a migration partner based on familiarity or low pricing can lead to migration failures that can be too expensive to rectify. While iterating ways to budget cloud migrations, Gartner5 points out that 60% of infrastructure and operations (I&O) leaders will experience public cloud cost overruns through 2024, putting a big dent in their on-premises budgets.

The role of a technology partner is highly critical here. 

The right technology partner will evaluate the complete ecosystem, review the interdependencies across siloed applications, and prioritize the workloads to be migrated. They will offer a comprehensive cloud strategy to enable successful cloud adoptions without impacting business users and service-level agreements. They will have the tools and resources to move multiple, complex applications. 

They will help you adopt the Industry 4.0 framework with appropriate automation tools and cloud-based data analytics. With real-time visibility into the manufacturing ecosystem, they can empower you to build more innovative products and create value for your customers and business partners.

Ensure migration success with Trigent

Allow us to help you migrate smoothly to the Cloud and manage your manufacturing workloads with ease. Our technology experts can help you with cloud-native applications and advanced data analytics solutions to achieve agility at scale. 

Our cloud strategy has been helping our clients get maximum business value. We can help you too. 

Call us today for a business consultation.

References

  1. https://cloudblogs.microsoft.com/industry-blog/manufacturing/2017/10/11/digital-transformation-excellence-lessons-from-manufacturing-leaders/
  2. https://www.automationworld.com/TakeFive/video/21977710/how-industry-is-using-cloud-edge-and-fog-computing-today
  3. https://aws.amazon.com/solutions/case-studies/unox/
  4. https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/clearing-the-air-on-cloud-how-industrial-companies-can-capture-cloud-technologys-full-business-value

6 Cloud Migration Mistakes that Businesses Need to Avoid

Businesses worldwide are busy moving their legacy applications to the cloud in the wake of the pandemic. While reducing infrastructure costs and enhancing security remain important reasons for many, it is crucial to assess the individual business environment to understand why cloud migration is important for you. 

Cloud migration needs to be seamless and simple for it to be effective. Cloud adoption has tangible benefits as over 70% of companies have already moved some of their workloads to the public cloud, as confirmed by Gartner1. Yet, it predicts that 60% of infrastructure and operations leaders may experience cost overruns by 2024 that may end up hurting their on-premises budgets.

As per a Cloud Security Alliance report2, 90% of CIOs have experienced failure or disruption in data migration projects caused by complexities encountered while migrating from on-premises environments to the cloud. Only 35% of the survey respondents met their migration deadlines. The 2019 Fortinet study reveals 74% of the companies moved their applications back to on-premises on failing to attain desired returns.

This brings us to the most pertinent questions – why do these migrations fail, and what can you do to ensure a successful cloud migration? And most importantly, why is cloud migration an essential endeavor for organizations?

Address challenges and migrate to the Cloud seamlessly. Talk to us now

Advantage Cloud – Why migration from legacy systems to cloud is important for an organization

There are several benefits of migrating to the cloud as it gives businesses much-needed flexibility and scalability. The Coca-Cola Company achieved 40% operational savings while reducing maintenance costs and improving performance by migrating to the cloud. 

Cloud-native startups are already collecting data from their customers and markets to accordingly align their offerings and implement product updates in the production stage. 

SaaS is preferred by many who wish to add or delete features based on customer feedback. Subscription-based models that allow marketing teams to have more enriching interactions with end-users and implement changes across marketing, sales & pricing, and customer support functions are proving to be extremely valuable. 

According to Gartner, end-user spending on cloud services will grow at a CAGR of 21.7% taking it from $396 billion in 2021 to $482 billion in 2022. Explains Brandon Medford, senior principal analyst at Gartner, “Organizations are advancing their timelines on digital business initiatives and racing to the cloud in an effort to modernize environments, improve system reliability, support hybrid work models and address other new realities compelled by the pandemic.”

To meet retail’s new mandates, the largest grocery chain in the U.S. Kroger, recently unveiled a privacy-compliant collaborative cloud that offers a granular view of customer behavior. 

Planning for successful cloud migrations

Cloud migration calls for a lot of planning to ensure a positive business and operation impact.

When Netflix decided to go all-in on the cloud, most were unaware of the existence of the cloud. But it had problems that needed immediate attention, and thus came its famous Simian Army that unleashed the Chaos Monkey. It is a software tool developed by Netflix engineers to simulate failures of cloud instances and test the resiliency and recoverability of their Amazon Web Services (AWS).

Proper planning is the key to successful migrations and should consider various aspects from the present and future perspectives. Remember, you need to build the cloud for the future, anticipating growth and new business models. A simple ‘lift and shift’ may work for some while others may need a complete overhaul of application architectures through re-architecting. To avoid downtime and performance degradation, you need to understand cloud migration best practices. 

But before you start anything, you need to ask the right questions. Why do you want to move to the cloud, and what do you expect? Is your workforce ready for this transition? What migration strategies will work for your business? 

Here are a few mistakes you must avoid at all costs to ensure smooth cloud migration. 

Failing to understand organization networks and infrastructure

Every solution provider will offer unique attributes making it highly overwhelming for businesses to choose solutions based on their business and data needs. Lack of proper understanding causes breaks in the systems, and some data may be left behind. This can disrupt functions and lead to additional costs and frustrations.

For instance, Sime Darby Industrial Sdn Bhd (SDISB) faced scalability and security issues due to config limitations in their Cloud infrastructure. Periodic lags and downtime arising from these misconfigurations caused major disruptions driving up costs for the company.  A personalized, end-to-end solution by a partner was needed to help SDISB improve its Cloud e-commerce site performance.

Trying to migrate everything in one go

While migrating data and workflows, simply prioritizing a ‘life and shift’ approach to move workloads without modifying or analyzing them may not be the best move. You may have to rewrite and re-release applications in a cloud-native manner or replace them based on a proper assessment. Workloads need to be assessed first before initiating a migration project. 

Besides, every storage and solution will have its own merits and limitations that need to be evaluated, and the right backup strategies would play a critical role. Organizations like OVHcloud, Europe’s largest cloud provider, had already taught us a lesson in data backup the hard way when its data center suffered a catastrophic fire. Those who had purchased the backup and disaster-recovery services offered by the company were able to resume operations while others suffered.

The right migration partner can play a crucial role here. A proof-of-concept or minimal viable cloud is recommended to get a realistic view of the migration. This will eliminate the threat of losing essential data or causing breaks or breaches arising from inefficient migration. 

Not having the right migration partner

The migration partner you choose will largely determine the success of your cloud migration. Rather than choosing them based on familiarity or low pricing, you should focus on their experience. A partner with certified experts across Cloud Vendor solutions will provide you with a design that is right for your business rather than pushing a specific technology. Handing the migration project to internal teams may be feasible only if the team has relevant prior experience and expertise.

You may ask your migration partner for a cost proposal along with the necessary recommendations following proper assessment of your data and infrastructure to commence the project on the right foot.

Failing to map dependencies

Incomplete application assessment also leads to encountering dependency bottlenecks later. You need to discover and account for the interdependencies between on-premises systems early on to ensure there are no hiccups along the way. Failure to do so would lead to incorrect grouping and order of application migrations, eventually leading to burgeoning costs and cascading delays. It will also lead to perennial performance issues and cause your migration costs to go off the rails.

Failing to factor in hidden costs

You need to pay close attention to transformation costs that may involve upskilling, increased salaries for cloud management roles, changes in organizational structure, operating procedures, new practices, etc. 

Adobe found this out the hard way in 2018 when its engineers realized that a single computing job on Microsoft Azure was racking up charges of $80,000 per day. A week later, this had accumulated to a bill of more than half a million dollars.

No matter what the cost, budgeting must include indirect project costs to ensure the organization operates optimally without any financial stress.

Added care required to move legacy applications safely onto the cloud

It’s easier to safely move legacy applications to the cloud once you analyze the complexities involved in different types of data and apps. For instance, moving your corporate email service to a public cloud SaaS service is pretty straightforward. What’s challenging to migrate is an application that was developed years ago. The fact that your entire business relies on it can only make it even more difficult. 

There could be bespoke applications developed in-house, but the new cloud offerings cannot align with these customizations. A classic case is Autodesk’s SaaS offering that runs just one version of the software and is not compatible with customized applications or third-party add-ins. What’s more, businesses that have unique ERP applications often struggle with cloud solutions that cannot accept such personalized versions. Organizations can avoid this turmoil by choosing one of these options to ensure safe and swift migrations.

  • Infrastructure-as-a-Service (IaaS) wherein applications can be moved as is or with minor tweaks to operate from the service provider’s infrastructure.
  • Platform-as-a-Service (PaaS) offers a secure database or development environment for organizations to install and manage their customized applications or code. 
  • Software-as-a-Service (SaaS) wherein all responsibilities are managed by the service provider to offer a tailored service to organizations for cost efficiency, scalability, and flexibility. 

The right migration partner will help you with suitable cloud solutions and strategies and even offer customized ones to ensure migration success. The infamous data scraping breach or the breach that cost Facebook huge losses, including a $5 billion penalty, have taught us essential lessons in cloud security.

No matter which migration partner you choose, make sure they adopt a security-first approach. After all, security cannot be an afterthought and is the only way to reduce the attack surface and the breaches arising from it. Ensure you regularly maintain the patches and updates, configure cloud-native solutions correctly, and secure the network for vulnerability management and incident response.

Simplify your Cloud migration journey with Trigent

Our domain experts at Trigent assess your portfolio and business needs to determine the pain points and ways to address them. As a cloud migration specialist, we blend unique methodologies with purpose-built assessment tools to decide the right migration strategy for your business. Accordingly, we devise a detailed transformation roadmap prioritizing apps to be migrated and treatments to migrate to the cloud using best practices seamlessly. 

Allow us to assess your cloud readiness to help you rapidly scale and succeed with the right cloud solutions. Call us today for a business consultation.

References

  1. https://www.gartner.com/smarterwithgartner/6-ways-cloud-migration-costs-go-off-the-rails
  2. https://www.ciodive.com/spons/why-do-cloud-migrations-fail/600946/

Tech Trends Driving the Higher Education Industry

The campuses that were bustling with life a year ago now have a deserted look. The dormitories, classrooms, and practical rooms all wait for normalcy to return. The pandemic has impacted all walks of life, and education is no different. As per the latest New York Times survey comprising 1,900 American colleges and universities, there have been 397000 cases and about 90 deaths due to the coronavirus.

The explosion of the virus and the regulations to curb the spread have expedited the adoption of technology. Universities that were warming up to technology before the pandemic are now swiftly embracing technology to overcome the pandemic’s challenges and chart out their future course of action.

Here are the top trending technologies that have got the education industry’s attention and are sure to have a long-standing impact on the education industry and system.

AI drives operational and administrative efficiency

AI’s impact on the education sector or specifically in higher learning institutes can be manifold. Many universities or institutions are already leveraging AI to deliver time-sensitive academic and admin tasks, increase enrollment, improve IT processes and amplify the learning experience. A Wall Street Journal article noted that the Georgia Institute of Technology addressed 40% of student’s queries using an AI-powered chatbot assistant freeing up humans to tackle complex questions. AI could also spell good news for students with hearing and visual impairments by refining language translations and providing improved access.

While AI’s potential has been a topic of discussion at institutions, its adoption in the education industry is still lagging. A recent survey revealed that implementation was the most significant challenge institutions faced in adopting AI. Only 41% of universities have chalked out a strategy on utilizing AI. Another major deterrent is the cost involved, with 57% of institutions having a separate budget for AI projects.

Hybrid learning delivers continuity, convenience, and safety

With the contagious virus on the prowl student, health and safety have become priorities for institutions. The learning environment is poised for a significant overhaul. Hybrid learning or blended learning is the best option available to institutions. The students’ young age on campus is another reason hybrid learning is a perfect fit for the current day and age. Statistics from Bill and Melinda Foundation reveal the 55% of today’s college and university students are Gen Zers. The new generation of students is well averse to using technology. Pew Research highlighted that 95% of Gen Zers have access to smartphones while close to 97% use one of the major learning platforms.

A recently concluded survey by the Institute of International Education has revealed that 9 out of 10 universities in the US plan to implement the hybrid learning model across their campuses. 92% of institutions participating in the survey suggested looking at a wholly revamped instructional plan starting fall 2020.

Immersive, engaging, and impactful learning experiences using AR/VR

Not long ago, the thought of remote learning, especially for higher education, was a distant dream. The biggest challenge to any such suggestion was the impact of in-person classes conducted by the professor in charge, the face-to-face interactions, live demonstrations, and the practical sessions. The emergence of the coronavirus and the social distancing regulation compelled colleges to go digital. Every need has a solution. In this case, the need for real conversations, universities turned to AR/VR that had already made inroads into the classroom. As per Burroughs, 2018 and Internet2, 2019, as of 2018, 18% of universities and colleges had fully deployed VR, 28% had used it to some extent, and 32% were testing the technology. Gartner predicts that by 2021, 60 higher education institutions in the United States will focus on using VR to create simulations and put students into immersive environments.

Through its Virtual Immersive Teaching and Learning (VITaL), San Diego State University’s Instructional Technology Services is using VR capabilities to teach students astronomy. Students in Western Carolina University’s (NC) School of Nursing are using VR to virtually attend to rare emergencies and understand how to attend to such instances. In another compelling use case, Fordham University’s (NY) Gabelli School of Business teaches its students lessons in leadership and teamwork using VR. Students in this particular exercise walk on a 1400 foot skyscraper urged by team members or guided by fellow students to diffuse bombs.

Robust ‘anywhere’ learning systems with cloud technologies

Campuses are sophisticated systems similar to bustling cities. Apart from learning systems, they provide transportation, campus safety, accounting, administration, and everything else required to run a well-oiled system for the residents, in this case, the students. All these facilities provided by the institutions need to run cohesively. Embracing the cloud enables institutions to create a data-centric mindset and rely more on quantifiable data measurement to drive and assess enrollment functions. Institutions are adopting cloud products to leap towards process re-engineering to aim for system-wide digital transformation. The approach will reduce information silos and enable standardization of data driving information sharing, boosting efficiency and sustainable growth.

The pandemic has put an enormous financial burden on institutions. Budget cuts for public institutions and diminishing private funds and endowments have further crippled institutions’ financial capability to harness cloud capabilities helping colleges and universities balance their expenses while benefiting from the high-standard IT services.

The Julliard School for performing arts having its physical presence in New York, will be training 800 students from 42 different countries. The faculty will be training all these students from its campus in Manhattan. The cloud powers Julliard’s digital foray.

Conclusion

Like every other industry, the higher education domain needs a revamp. Campuses across the United States are increasing digital transformation speed to face any unforeseen eventuality. Trigent is at the forefront of enabling institutions and universities to quickly and efficiently utilize technology advances. Our domain expertise empowers institutions to promptly ramp-up capabilities backed by our technology experts.

Let us together build a digitally strong foundation for an empowered future. Call us today.

Cloud Migration in Retail – Why retail should dovetail cloud for success?

The year 2020 has been a year of learning for all industries. The unprecedented scale and reach of the pandemic encompassing the world impacted every region and industry. Retail in the United States is no different. Sales dropped from $5.47 trillion in 2019 to $4.89 trillion in 2020 due to the virus and restrictions to curb the pandemic. The prevailing condition demands that the retail industry, like every other industry, initiate or increase its speed of adopting technologies that enable businesses to face the new normal.

Cloud migration plays an essential role in this transformational journey. A major driver set to act as the backbone, enabling the adoption of technologies and delivering desired business results. The global retail cloud market that stood at $11.89 billion will touch 39.63 billion by 2026, emphasizing cloud as a significant driving force that will propel the retail sector in the future.

Here are some of the factors that make the cloud migration a lucrative proposition for retailers.

Cloud retail solutions for in-sync operation

Many brick-and-mortar stores or offline stores still depend on legacy systems. Dependence on legacy impacts the integration of various business operations such as inventory, shipping, development, and POS. Cloud migration enables retailers to get the different business operations in sync and get a consolidated view of all departments and locations in real-time. A real-time view of the inventory, shipment, and other business processes enables an in-sync seamless functioning across the organization.

Superior Customer Experience (CX) and convenience with application migration to cloud

The experience-driven economy has furthered the emphasis on personalization. Not only is there a demand for superior, seamless experiences, but users also want these experiences to be personalized. 80% of consumers are more likely to buy from a brand that provides personalized experiences. Retailers are well placed to provide to their customers what they demand. With a gold mine of customer and sales data, retailers can utilize cloud-enabled computing capabilities to analyze data. Cloud allows retailers to get a unified view of data from multiple sources, enabling the retailers to make data-driven, timely decisions. Moving to the cloud also boosts the performance of web applications ensuring that users do not abandon the site due to slow performance and a poor experience.

Cloud migration strategy for scalability

Many reasons impact the sale of products. It could be the launch of a new product from a renowned brand or end of season sale that causes a spike in sales. The retail industry is also impacted by peak demand during particular seasons, such as the holiday season. As per Adobe Analytics, online retail sales grew 32.2% from 2019 to touch $188.2 billion during the holiday season. Similarly, the sales could also dip owing to low demand and other factors. Cloud migration helps retailers to prepare for such eventuality. Cloud-enabled systems can be programmed for scalability, meaning they can be automated to meet the requirements in case of a surge and limit the use of resources in case of a dip. Retailers can also save big on infrastructure investments and costs by using many cloud service providers’ pay per use model.

Retailers are looking for technologies that can immediately impact their business. They are either already experimenting or looking to build solutions that enhance customer experience and drive growth. Cloud works as the perfect catalyst in this transformational journey for retailers as it powers agility and provides the platform to build modern apps faster and at scale, anytime-anywhere.

Explore the latest trends in technology that are shaping the future of retail. Learn how Trigent’s expertise can help you conquer the cloud and get an edge over the new normal.

Incorporate the latest capabilities in cloud technology with Trigent’s team of certified cloud experts. Our suite of cloud services encompassing cloud advisory, cloud-native application development, cloud architecture, migration services, and cloud management is equipped to support you at every stage of your cloud journey.

Cloud: a lifeline for the healthcare Industry

The healthcare industry has been steadily expanding, owing to a rising aging population and the growing trend of wellness centers. With a pandemic in the mix, however, the industry has been left burdened and unprepared. The silver lining here is that people have embraced telehealth services. With the onset of Covid 19, the number of users accessing e-healthcare services has catapulted. Doctors can now provide remote care to patients from the safety of their homes, making life easier for everybody involved.

Cloud has played a heroic role in these trying times. Even those that swear by traditional systems established regulations, processes, and operational methods, have had to make the mental, cultural, and ultimately, physical switch to the Cloud. Admittedly for them, the pros outweigh the cons.

Saving time, reducing costs, increasing efficiency

When Hunterdon Healthcare, a healthcare center in New Jersey, migrated to the Cloud, they saved $1.3 million in IT costs. With a Cloud-based system, tasks are simplified, making the turnaround quick and seamless. Processes are streamlined, thereby eliminating silos and enhancing resource utilization. Cloud-based technology brings with it a sense of ease and convenience, cutting down administrative and hardware costs in the process. In hospitals that use legacy systems, a lot of time and effort is lost on manual data collection and transfer, notwithstanding the additional costs invoked by human error. Cloud brings operational efficiency into play – giving patients better care and healthcare organizations a better bottom line. While there is an initial cost incurred to transform legacy systems into Cloud-based ones, in the long run, the cost of running the latter is much lower. Right now, as physicians, nurses, and other healthcare workers are (at best) experiencing exhaustion, Cloud-based systems are proving to be a necessary, life-saving investment.

Interoperability and collaboration

Interoperability between hospitals, diagnostic centers, clinics, dispensaries, pharmacies, etc., is perhaps the biggest advantage of Cloud. Different information technology systems can communicate with each other, making it easy to compile a complete and comprehensive patient history record – this helps physicians make informed decisions. Further, with Cloud, one can access patient data and other applications remotely – this drastically scales the reach of medicine, especially to rural areas. Research into Covid 19 has shown that individuals with pre-existing conditions and compromised immunity are more susceptible to the virus. When testing for Covid 19, access to one’s complete medical records helps doctors prioritize cases and provide care accordingly.

Real-time remote care

Transcending time, distance and other variables, cloud-enabled IT relays real-time information, which cuts down the time, cost and effort involved in physically going to a healthcare facility, waiting for an appointment, etc. Real-time e-diagnosis has been widely helpful amidst the pandemic, ensuring that people do not unnecessarily put themselves at risk by visiting hospitals for non-Covid-related medical issues. Instead, complying with social distancing norms, telehealth services help doctors communicate directly with patients, and make a diagnosis (and if necessary, a treatment plan) without putting either party at risk. Research by McKinsey and Company shows that out of a number of people that had canceled medical appointments during the lockdown, 44% accessed telehealth options. They also found that online searches for telemedicine increased more than ninefold. Since Cloud-based healthcare facilities keep track of the numerous technological advances in medicine, it helps improve patient outcomes, giving them an advantage over facilities that do not use Cloud services.

Data security on cloud

The biggest apprehension with cloud-based systems is data security. The confidentiality and security of one’s medical data is an obvious concern, but Cloud systems can reduce risks by complying with regulations and policies like GDPR (General Data Protection Regulation) and HIPAA (Health Insurance Portability and Accountability Act).

Skilled personnel

Other worries include internet connectivity issues, unskilled personnel, and worries over a lack of the ‘human’ element. The implementation of training programs will help familiarize staff with the workings of Cloud systems. As for the human element or the lack thereof, it is important to note that like with everything else in the service industry, healthcare too, has had to be tailored to suit consumer expectations in terms of speed, comfort, etc. If anything, therefore, Cloud-based systems provide patients with a value-based service.

Although it took a pandemic to catalyze the industry’s adoption of cloud services, there is no denying that it is the future of healthcare. The benefits and undiscovered potential of Cloud could redefine diagnoses, treatments, and more. Trigent helps healthcare organizations that are at any Cloud maturity stage – whether it is on an advisory level, migrating from a legacy system to the Cloud, developing a particular application, adapting portfolios to match the evolved Cloud architecture or any other Cloud service.

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Ref:

  • Siwicki, B. (2019). Hunterdon Healthcare migrates to Google Cloud/G Suite and saves $1.3 million.
  • Fabius, V., Kohli, S., Timelin, B., & Veranen, S. (2020). Meet the next-normal consumer.

How to Plan Your Datacenter Migration to the Cloud

Cloud computing is on every CIO’s mind but not always for the right reasons. This could be because of the fears related to security, business continuity, cost efficiency and data availability. Summarizing these sentiments, Lydia Leong, Vice president and distinguished analyst with Gartner says, “Efficiency-driven workload migration demands a different mindset and approach than agility-driven cloud adoption. The greatest benefits are derived from cloud-enabled organizational transformation, yet such transformations are highly disruptive and difficult. Moving to cloud IaaS without sufficient transformation may fail to yield the hoped-for benefits, and may actually result in higher costs”.

Datacenter migration

Datacenter migration requires evaluation of the weight of the data residing in the data center, and its current age and capacity. For example, if it is on its last leg, it might be better to decommission the data center and migrate to the cloud. If there are capacity limitations, these could also be reasons for considering cloud migration.

Then you would need to evaluate existing skill sets. If the internal IT organization does not have the requisite skillsets for cloud migration, it might be best to look for a cloud solutions service provider. The partner firm should have a strong reputation, experience in cloud technologies, and have a dedicated team of cloud specialists. If these technologists have industry experience, it would be even better.

The partner firm should be able to work out a thorough business case, perform a cost analysis, and prioritize workloads for a successful migration. The vendor needs to define the scope and road map for the migration. This immediately sets a context in terms of timelines and costs involved. It also prepares the existing teams for what is in store. During the discovery stage, the vendor should do a thorough analysis of the on-premise data center to prioritize it accordingly for migration.

Transition from “difficult to change” to Evolutionary Cloud Architecture

Data collection has to be as intense and exhaustive as possible to ensure that gaps are avoided. The vendor needs to work with the internal IT stakeholders to ensure that the data center is evaluated thoroughly, for a robust application inventory. This step could take at least a fortnight to complete but is crucial to planning capacity for cost optimization.

The above few steps naturally lead to the next one where the vendor does a deep analysis of critical information. The analysis will be comprehensive and map the migration to overall organizational goals, identify workloads and group them accordingly. This gives a clear perspective on cloud and infrastructure requirements post-migration and the costs for long term maintenance. Along with all these, there will need to be a plan for disaster recovery.

The final step, i.e. of creating a formal workload migration plan will be proposed by the vendor. Depending on the findings, the vendor may propose a wave or tier approach, to ensure short term return on investment and minimize operational disruptions. This migration plan is the blueprint or detailed architecture of how the migration will proceed.

Trigent Software’s 6 Keys to Successful Cloud Migration

  • Gain executive sponsorship and develop a strategy early
  • Portfolio assessment: Review and select the right applications to migrate
  • Budget for migration costs: tools, services, skilled resources
  • Start small and scale
  • Re-host (Lift and Shift) – low risk & reward
  • Re-platform (lift-and-reshape) – medium risk, high reward
  • Re-architect – high risk, high reward
  • Identify risks and ensure operational continuity
  • Create a repeatable plan and process to improve it.

Do you need help to securely and efficiently migrate your datacenter? We can help.

Single or Multi-cloud?

A recent study by 451 Research indicates that nearly a third of large organizations work with four or more cloud vendors, making one wonder whether multi-cloud is the future of cloud computing. The recent acquisition by Google of Orbitera, a platform that supports multi-cloud commerce, shows that Google recognizes that multi-cloud environments are the future. In a market estimated by Gartner to be worth $240 billion next year, multi-cloud creates a new front in the so-called “cloud computing wars.” This can only be good news for those businesses looking for flexibility, cost savings, and ultimately better solutions.

It appears that organizations that prefer multiple cloud providers have very logical reasons for this. They use multiple cloud providers to support specific applications or workloads. For example, a core application may need more resilience to perform when power is lost or expand to capacity and another department within the same organization may need the cloud to enhance productivity. Having one single cloud solution may compromise its outcome, which is probably why large companies with multiple functions may end up with several clouds. Another reason, as per a report by Ovum, seems to be overall dissatisfaction with a single cloud service provider. Key reasons cited include poor service performance and a lack of personalized support.

Related: We build impactful cloud solutions that solve challenging business problems.

One more reason could be that companies vary of keeping all their applications and workflows in one single cloud, because it can leave them vulnerable and reduce their pricing negotiation powers with the provider, in the long term.

While the logic behind a multi-cloud environment may seem sensible, the fact remains that it can be difficult to jostle between clouds. While cloud providers make it easy to move applications to their platforms, leaving it is not easy, to ensure that their business is not reduced to a price-sensitive commodity.

Also, some organizations are worried about the downtime involved in moving petabytes of data

Many organizations are rightly concerned about the downtime involved in moving petabytes of data between cloud providers. Fortunately, the same patented Active Data Replication technology that all the major cloud vendors offer to make it simple for customers to move to the cloud can also be used to migrate data between the clouds.

The ramifications of this are huge. While Amazon Web Services (AWS) remains the dominant player in the space, businesses wanting the freedom to juggle multiple cloud services and avoid vendor lock-in may well help the other players to catch up.

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