Category: IT

How Low-Code Integration is Changing the Lives of Software Developers

Once considered an impediment to software development, low-code was viewed as a rigid, templated coding style that hindered creativity. 

Today, many software engineers and developers view low-code as a liberator…almost the AI of software development, automating mundane steps while freeing up human capital to focus on higher value work.

A low-code integration platform allows companies to extend and supplement existing workforces while facilitating automation, reducing errors, and ultimately elevating the role of software developer to that of an innovator. 

In this post, we focus on how low-code integration platforms contribute to an agile and progressive business, why companies are adopting this methodology, and the overall benefits the business – and developers – achieve with a low-code model.

>> Book a personalized demo with our team of experts and see how Digibee’s iPaaS will bring efficiency to your business. 

happy-web-developers-working-on-a-laptop-low-code-solutions

What is Low-code?

Low-code is a development methodology that uses visual versus textual coding. Instead of a technical environment, low code is model-driven, using a drag-and-drop interface that is accessible to a broader range of developers. Especially for more junior team members who may not yet have the experience to produce in a highly technical environment.

Organizations benefit from greater productivity, decreased costs, and improved agility. These are meaningful results, reflected in the outlook of industry analysts who predict the worldwide low-code technologies market will grow 20% in 2023.

Low-code integration platforms deliver speed and automation, while maintaining the ability of developers to customize, transform, and orchestrate end-to-end business processes. When a low code integration platform has the ability to handle the complexity of truly enterprise environments, the result is a democratization of tasks across development teams that traditionally would be bottlenecked with integration specialists working over their personal capacity.

Why are organizations adopting low-code platforms?

Expediting the completion of key projects is instrumental to innovation and growth. To achieve these results, development cycles must be strategic and predictable, while also delivering digitally-driven outcomes to customers and partners within an evolving ecosystem. 

Due to resource constraints, process/system complexity, and an ever-evolving ecosystem, many key projects are consigned to the IT backlog. The result is a painful lag between the company determining what it needs to succeed and how quickly the development team will deliver it. 

A low-code integration methodology allows companies to segment IT backlog work, shortening project timelines by assigning simpler tasks to less experienced workers. Instead of important projects languishing on an ever-growing to-do list, initiatives are quickly completed. More hands make for faster work, with experienced people focusing solely on the highest value tasks.

Enterprises must eliminate redundant and time-consuming tasks, freeing up bandwidth to focus on higher value activities that satisfy individual needs and the needs of the business.  

– Peter Kreslins, Digibee CTO and Co-Founder

Why are organizations adopting low code platforms?

Increasing delivery of key projects drives business results. These results include the predictable and strategic delivery of digitally driven outcomes to customers and partners in an evolving ecosystem.

The pressure to deliver outcomes is higher than ever and this demand often falls on the IT project backlog. It is no secret that the IT project backlog is growing due to resource constraints, process / systems complexity, and a digital ecosystem that is changing at an exponential rate.

These complexities can cause key business initiatives to take too long and consume so many resources that other important projects may have to be pushed aside.

A Low Code methodology leaves room for these projects that have historically lost priority while preparing you for the future of a certain increase in the amount of data generated and consumed by your organization.

What are the advantages of low-code for developers?

The prioritization of IT backlog projects depends solely upon the time and resources available to tackle the coding work. This involves the team members writing, testing, debugging, deploying, and managing environments (test and production). 

The more coding required, the more likely that problems will arise. Especially if the team is under-resourced or under-skilled. As a result, the project delivery date is delayed, which pushes out the positive results it’s meant to deliver. The outcome? Missed revenue and lost business opportunities.

A low-code integration model accelerates the development process, simplifying the work and enabling the development team to deliver critical innovation projects on time and on budget. 

Here are some examples of the advantages a low-code integration platform provides to developers:

Flexibility

  • Existing (and older) models, systems, and processes have undergone many changes, often resulting in a lack of continuity, forced freezing, and downstream compatibility issues due to a reliance on specialized coding and knowledge. 
  • Low code removes these legacy hindrances, allowing workers to connect systems and processes in a modular way. This simple approach promotes the rapid adoption of new workflows and technologies, enabling the team to easily support (and quickly complete) modernization initiatives.

Speed

  • Low-code is an optimizer, providing greater speed with improved results. Reusability and embedded governance immediately accelerate the development process.
  • Building code using a visual (versus textual) model saves time while still allowing for manual coding as needed. Low-code also bridges the communication gap among non-IT stakeholders to further expedite the project.

Greater autonomy

  • Low-code democratizes processes, simplifying the development lifecycle, and supporting individual contributions. It also enables professionals with less experience (or less technical backgrounds) to contribute to the project, tasking them with work they’re able to perform.
  • With improved communication and collaboration between business and IT teams, it’s possible to share a holistic view of the project, keeping all stakeholders informed and aware.

More features and innovation

  • Low-code makes it easier to accelerate innovation cycles, offloading basic tasks to less experienced workers, and elevating senior developers to focus on new products/services and strategic projects. 
  • A low-code integration platform delivers greater cost-efficiencies, ensuring the most expensive resources are delivering the highest ROI, while empowering less experienced developers to build and maintain integrations as they learn and grow.

How to choose a low-code platform

Low-code integration platforms support process agility and enhanced security while accelerating delivery cycles, all with a lower total cost of ownership.

Our customers rely on Digibee’s low-code integration platform-as-a-service (iPaaS) technology to:

  • Efficiently build and maintain integrations
  • Lower demand on IT while empowering junior developers
  • Support business users with automated workflows
  • Increase revenue with faster time to market
  • Expand existing development resources for increased efficiency, productivity, and profitability

Digibee’s low-code iPaaS

Give us your integration use case scenario, and book a no-obligation demo (your choice of 15, 30, or 60-minutes) to learn how you can leverage our low-code iPaaS to increase efficiency, productivity, and profitability.

Introducing the Digibee AI Assistant

Innovation at Digibee is a top priority. After all, our mission is to help our customers in their digital transformation journeys, so it only makes sense that Digibee evolves on a similar path. 

With some of the brightest minds in the industry, the Digibee team has an insatiable curiosity and inherent desire to continually improve how enterprises integrate and innovate. Our best ideas are based on our understanding of what’s needed and what’s next. And then we make it happen.

Case in point is the Digibee AI Assistant, a new capability in our customer training portal: the Digibee Academy 2.0. The technology is unique and AI-driven and tailored to answer questions in real-time from customers seeking information.

It’s been an exciting project and we are happy to share this with our customers! Here are some more details about how Digibee will use AI, today and into the future, to support our customers and advance our technology.

>> Book a personalized demo with our team of experts and see how Digibee’s iPaaS will bring efficiency to your business. 

How AI Helps Digibee Users

Digibee believes in empowering our platform users and our employees to help them achieve their true potential. 

We are very proud of how intuitive the Digibee drag-and-drop platform is for Solution Engineers to learn and use, and how quickly they become proficient in building, running and monitoring integrations with our iPaaS. Yet we always strive to leverage the best available technologies and ideas to continually improve the user experience. 

The advances we’re achieving with AI make it easier for everyone to find the information they need in real-time. It also provides us with important insights to better understand the needs of our users, helping to inform how we improve and evolve the Digibee platform.

There are short and long term advantages for our customers in using our platform, and our iPaaS will evolve based on what we learn – both from our users directly and from what we can glean from AI.

Unlike many integration technology vendors, the Digibee support model – including the Academy and our AI Assistant – is provided free of charge. Our customers shouldn’t have to pay to learn. And while our support is free, our customers truly experience the benefit of our platform when the training wheels come off, providing development folks and architects with total autonomy.

The transformation from perceiving integration as a growth inhibitor to utilizing it as an enabler of speedy innovation is fully realized.  

The Future of AI for Digibee

The future looks bright! AI provides us with a variety of opportunities to elevate the Digibee customer experience and innovate our iPaaS technology. 

For the Digibee Academy 2.0 implementation, we created a cross-functional ad hoc team from different areas within the organization, all with skills related to data science and most from within the Education team. Based on the success we’ve seen to-date, we’re exploring the creation of a formal function and/or team to support continuous development and delivery of AI-powered capabilities.

With the Digibee Academy, the model will evolve beyond a question and answer format to make proactive content recommendations based on each user’s needs. The system will also grade assignments and provide personalized feedback for users leveraging our self-serve training model. 

Beyond the current implementation, we’re examining the application of AI within the Digibee iPaaS. The team is actively exploring conversational UX and other AI-powered capabilities, including enhancements to pipeline creation and maintenance workflows, the provision of smart recommendations, and the automation of tasks and processes for all users. 

What’s Next?

Today, we’re actively testing the system internally at Digibee. The AI Assistant will provide real-time answers to questions regarding the content within the documentation portal. It will also help users complete self-training courses, improve their knowledge, and build a better understanding of the Digibee iPaaS.

For more information about the Digibee AI Assistant, the Digibee Academy 2.0, or Digibee’s iPaaS technology, schedule a 15 or 30 minute call with us.

The “Why” Behind Enterprise Integration in Retail

The Digibee State of Enterprise Integration survey, was carried out earlier this year, compiling input and opinions from one thousand CTOs, CIOs, system architects, and web developers in North America. 

The survey data provides compelling insights to the state of integration across multiple industries. In this blog post we explore some of the findings specific to Retail, one of three industry sub-reports we published.

One distinct and very interesting insight is the “why” behind enterprise integration. Based on responses from Retailers, the highest-value objectives for integration rank as follows: 

  1. Improve time to market
  2. Migrate to/upgrade cloud, digital transformation
  3. Enable automation and AI

One theme ties these three objectives together: Proactive investment in innovation to better compete. It’s clear that retailers can’t afford to be complacent in today’s changing landscape. And while integration hasn’t traditionally been viewed as a strategic technology, the truly insightful leaders see how integration can help enable key innovation. This insight is reflected in these objectives.

>> Book a personalized demo with our team of experts and see how Digibee’s iPaaS will bring efficiency to your business. 

1. Improve Time to Market

Almost 35% of respondents rank time to market as the top enterprise integration objective for Retail. This makes sense when you consider the significant upside to the business, including greater market share, increased revenue, and a meaningful leg up on the competition.

improve-time-to-market-data-Retail-SEI-reportWhen a retailer is able to reduce time to market, the business is rewarded with more selling days. Especially important within the e-commerce use case, where customers shopping online expect to find the newest products and services at their fingertips. And when they don’t, it’s an easy hop to the next online retailer.

But being first to market is only half of the equation. The product or service you deliver to your customers is also key. Accurate data analytics – especially real-time data – are critical in allowing you to meet (and even beat) customer expectations, with businesses achieving up to 70% in market share as the first to market with a new product. 

Improving time to market in retail is all about greater efficiencies throughout the organization. Optimized supply chains, real-time data analytics, and e-commerce integration with adjacent software applications and systems. Retail digital transformation is essential to all of these advances, and enterprise integration is the foundation upon which it is built.

Without a truly connected environment, retailers lack the insights to understand what’s working, where improvements are needed–and most importantly–to gauge in real-time the quality of the customer experiences they deliver.

The State of Enterprise Integration for Retail Report

2. The Cloud & Digital Transformation

At number two on the integration objectives list for Retailers is cloud/digital transformation.

digital-transformation-data-Retail-SEI-reportGiven the speed of innovation within retail, this is not a surprising result. In recent years, we’ve seen the rapid adoption of some amazing technologies, for example, digital and curated shopping, automated checkouts, and enhancements in how retail inventory systems are managed and optimized. Digital transformation – and especially the cloud – have enabled all of these advances. 

Today, the retail cloud market in North America is expected to grow at an astounding CAGR of 4.56%, for a valuation of $109.98 billion USD from 2023-2030.

With so much opportunity, it’s no surprise companies are hopping on the retail digital transformation bus in record numbers, with most aiming to elevate the customer experience (CX) they deliver. No longer a nice-to-have, a personalized and omnichannel CX is table stakes for most retailers. 

In order to evolve, retailers must shift to a composable technology stack, allowing them to rapidly adapt and adopt new technologies as needed, a non-starter with traditional monolithic retail platforms. 

Enterprise integration connects the old with the new, knitting together all of the different systems and applications in the retail stack, supporting agility and flexibility in an industry where change is constant.

3. Enable Automation and AI 

Retailers ranked automation and AI number three on their integration objectives list, a natural evolution once the cloud and digital transformation initiatives are in place.

automation-and-AI-data-Retail-SEI-reportThe prioritization of AI is reflected in the global retail market numbers where retail market size is expected to reach about $45.74 billion USD by 2032, growing at an estimated CAGR of 18.45% from 2023 to 2032.

When you consider the volumes of data generated by digital e-commerce, AI is an imperative. With AI, retailers are able to organize and examine data in real-time from a range of sources (e-commerce data, retail ERP systems, marketplace, customer, and competitor information, etc.)

The results speak for themselves. Data insights that support amazingly accurate demand forecasting for improved inventory management; the detection of early-stage changes in market and consumer behaviors; and, since all roads lead back to the CX, real-time data that optimizes customer interactions.

AI is helping retailers build interactive systems that streamline customer communication throughout the buying journey. This improves the quality of customer personalization and engagement.

Forbes
The Future of Retail: Four Ways For The Industry to Utilize AI

Real-time access to accurate customer profile and order history, e-commerce chatbots, tracking of e- and in-store activities, an improved check-out experience, and even product placement are made better with AI.

AI also enables automation, a valuable capability that delivers meaningful benefits across the retail operation. All of the advances noted in the preceding digital transformation section previously fell to humans, making for time-consuming and often error-ridden work. AI frees workers from these mundane tasks while increasing accuracy and speed.

Achieve Your Business Objectives with Digibee’s iPaaS

Digibee’s low-code, cloud-native integration platform as a service (iPaaS) technology enables you to connect all of the dots (and IT infrastructure) to help you achieve your digital transformation objectives.

Download your complimentary copy of the Digibee State of Enterprise Integration for Retail sub-report today for a deep dive into all of the data. Understand how your peers are progressing and examine year-over-year trends and observations to inform your integration strategy.

Top Findings: Digibee’s 2023 State of Enterprise Integration Report – Implementation Time

In 2023, Digibee’s conducted its second annual annual State of Enterprise Integration survey, reaching out to one thousand CTOs, CIOs, system architects, and web developers in North America.

In this blog post series, we examine one of the top findings in the report, as ranked by your peers. Implementation time stood out as one of the biggest challenges when embarking on an IT digital transformation strategy. Many survey respondents said while their goal was accelerating digital transformation, integration implementation took much longer and was more complicated than expected.

Top Findings: Digibee’s 2023 State of Enterprise Integration Report – Budget & Spend

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The 2023 data is in, and Digibee’s second annual annual State of Enterprise Integration survey, is out! We reached out to more than a thousand enterprise IT professionals – from web developers and system architects to CTOs and CIOs – across North America to understand today’s integration trends, challenges, and opportunities.

Now we’re diving into some of the key findings with a series of blog posts – this one focuses on IT budgets and the cost of integration.

The Pros and Cons of APIs and How Enterprise iPaaS Helps

The path to digital transformation is never a smooth one, with most enterprises facing some serious house cleaning before they achieve their desired future state. Typically, we focus our efforts on the legacy systems and non-cloud-native applications holding us back. Rarely do we place APIs in this category.

Long the savior of IT teams around the world, APIs have helped us simplify integrations, support communication between systems, and liberate applications from siloed, monolithic architecture.  While impressive (and imperative) capabilities for the enterprise, APIs bring their own legacy challenges to the table.

To ensure the success of your enterprise integration strategy, the modernization of APIs must be a part of the plan.

>> Book a personalized demo with our team of experts and see how Digibee’s iPaaS will bring efficiency to your business. 

Top Findings: Digibee’s 2023 State of Enterprise Integration Report – Migrating to the Cloud

In 2023, Digibee conducted our second annual State of Enterprise Integration survey, reaching out to one thousand CTOs, CIOs, system architects, and web developers in North America. 

In this series, we examine the top findings uncovered in the report, including the number one objective of organizations when implementing enterprise integration: cloud migration

Cloud Migration Checklist: Transition to the Cloud in 6 Simple Steps

Cloud migration is becoming more and more common – and increasingly complex. While most organizations have moved at least some of their digital assets to the cloud, cloud migration strategies remain prone to disruptions and delays.

But failure is not inevitable. A carefully developed cloud migration roadmap can help you remove roadblocks and avoid common pitfalls. Follow this simple cloud migration checklist to ensure you have everything you need in place for a smooth transition.

>> Book a personalized demo with our team of experts and see how Digibee’s iPaaS will bring efficiency to your business. 

6 Steps to Optimize Your Cloud Migration

Digital transformation and cloud migration initiatives have become the number one reason enterprises embrace integration. And while partnering with an integration solutions provider can help minimize disruptions and downtime during the migration process, you’ll still need a cloud migration plan in place to optimize the transition.

happy-engineer-working-in-cloud-computing-server-cloud-migration

Step 1. Determine Your Goals

Understanding what you hope to achieve is crucial to successful cloud migration. Identify the factors driving your move to the cloud and how you’ll determine if you’ve reached your goals. Is your organization looking to:

Step 2. Plan Your Environment

The next stage in developing your cloud migration strategy involves planning your target environment in the cloud. This can include selecting a cloud provider – [1] 87% of organizations use a multi-cloud strategy today, so don’t assume your current cloud environment is the right option for new migration plans.

Take an inventory of your data, applications, systems, and infrastructure to determine what will be included in your cloud migration and what will remain in the current environment. Identify any dependencies and data flows that will affect (or be affected by) your transition to the cloud.

Step 3. Build Your Cloud Migration Roadmap

Once you’ve identified what is involved in your cloud migration plan and where it will move to, you can start planning how the transition will go.

  • Document performance, challenges, and requirements of all relevant infrastructure
  • Review compatibility between your existing and target environments
  • Plan the order of your migration tasks, accounting for dependencies and complexity
  • Determine milestones for each step in the cloud migration process

Step 4. Implement Your Plan

With your cloud migration goals and roadmap in place, you can begin the task of migrating your assets to the cloud. Working with an integration solutions provider, you’ll need to:

  • Replicate all master data so that existing endpoints can be adjusted and reused
  • Decouple systems – resist the urge to transform monolithic legacy system components into microservices, which can increase migration complexity and cost
  • Ensure your target cloud environment, network, and existing systems are connected and communicating
  • Migrate applications and data, testing accessibility and functionality frequently

Step 5. Validate Your Cloud Migration

When every step of your cloud migration project plan is complete, it’s vital to validate the success of your transition before going live with the changes. Your new cloud environment should now be an exact copy of your production environment, allowing for rapid testing to confirm all critical services are up and running and all data is accessible.

Step 6. Replicate Transactions and Go Live

Transactional histories can be migrated incrementally or in a single operation – your strategy should be determined by the volume and location of your data. Once transactions are replicated, you can flip the switch and adopt the replica environment created in the cloud for production. Shut down integrations relating to the on-premises environment and develop a plan to decommission them.

Integration is the Key to Cloud Migration Success

Integration bridges the gap between your current capabilities and what you hope to achieve in the cloud, reducing the risk associated with cloud migration strategies.

Digibee has developed an Integration Platform-as-a-Service solution that makes it easier for your team to free data from legacy systems and achieve your cloud goals, whatever they may be. Our low-code, intuitive interface simplifies the integration process so developers of all skills levels and experience can create integrations that maximize the value of your investments in the cloud.

Our 2023 State of Enterprise Integration Report highlights the important role integration plays in today’s cloud migration strategies. Download your complimentary copy today or book a no-obligation demo to see our solution in action.


12023 State of the Cloud Report, Flexera

Top Findings: Digibee’s 2023 State of Enterprise Integration Report – System Downtime

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In 2023, Digibee conducted our second annual State of Enterprise Integration survey, reaching out to one thousand CTOs, CIOs, system architects, and web developers in North America. 

In each blog post in this series, we examine a top finding in the report, as identified by your peers. Today we dig deep on the impact of system downtime when implementing an integration platform.

Digibee 2023 State of Enterprise Integration Report: The stories behind the data

Our second annual survey of the enterprise integration market was published today, unveiling some intriguing insights and generating plenty of discussion. 

In reviewing the survey results, I was struck by one constant. Most organizations now consider integration to be a core requirement for their digital transformation initiatives. In fact, coupled with cloud migration (a critical enabler in most modernization projects), digital transformation is the top integration objective in the survey, with almost 30% of respondents ranking it number one.

This is an amazing result, especially when you consider that just a few short years ago, the majority of enterprises were still on the fence about implementing iPaaS technology.

What is Cloud-to-Cloud Migration (and Why Should You Care)?

Cloud-to-cloud migration is exactly what it sounds like. It’s the process of moving digital assets (data, applications, etc.) from one cloud environment to another. 

You’ve probably read more articles than you’d like to admit about the how, why, and when of moving your systems, data, and applications to the cloud. But cloud-to-cloud migration? Try finding information on that, and your searches will probably yield a lot fewer results.

Google search results on cloud-to-cloud migration tend to just ignore what it interprets as a redundant “cloud” in your query and steer you back toward the benefits of moving to the cloud and comparisons between public, private, and multi-cloud solutions. 

Digging into types of cloud migration leads to disagreement on how many types there are – all focusing on types of migration from an on-premise system to the cloud. (Some mix of rehosting, redeployment, repackaging, refactoring, repurchasing, retiring, and retaining, for the record.)

So what is cloud-to-cloud migration? And why would anyone bother with it?

>> Book a personalized demo with our team of experts and see how Digibee’s iPaaS will bring efficiency to your business. 

What Drives Cloud-to-Cloud Migration?

If you’ve made the move to the cloud already, why would you bother doing it all again? Even the smoothest, most straightforward transitions still come with a level of stress. Who comes out on the other side of what can be a time-consuming, disruptive project and says, “hey, let’s do that again!”

Obviously, I’m exaggerating. No one is just moving all their data and applications from cloud to cloud in a high-stakes game of Frogger. But companies are embracing cloud-to-cloud migration – more often than you might think. Why?

Multi-Cloud is a Thing

Just about every company uses cloud in some form. And 87% of organizations have embraced a multi-cloud strategy. With multiple cloud environments on the go, the odds are high that sometimes you’ll move things from one to another, so cloud-to-cloud migration is more common than Google would lead you to believe. But what’s driving inter-cloud traffic?

Not All Clouds are Created Equal

Your business is continually evolving and changing – and what you need from a cloud environment will fluctuate too. Not every cloud environment is suitable for every use case (hence the widespread adoption of multi-cloud strategies), and that’s where cloud-to-cloud data migration comes in.

Cloud service providers have different strengths and varying weaknesses, just as you have varying priorities for the systems that live in the cloud. Those differences can make a strong business case for cloud-to-cloud migration.

1. Cost

Not all cloud environments are set up to support the same needs. A cloud solution designed for storing a lot of data that rarely moves won’t offer the best rates if you suddenly want to upload and download data regularly, for example.

2. Security or Compliance

Business-critical information or sensitive customer data must be stored in a cloud space that can meet specific standards. If the environment you started in can’t meet those requirements, you may opt to migrate vital data elsewhere.

3. Performance and Reliability

The environment you chose for its high levels of security may not deliver the performance you need for heavily used applications. Any customer-facing systems you have hosted in the cloud need elevated levels of performance and minimal downtime.

4. Features and Capabilities

If the features or capabilities of your cloud environment don’t match your changing goals or needs, you may have to find a new solution. The need for more control, increased transparency, or better integration between systems all fall into this category.

Cloud-to-Cloud Migration Challenges

Because cloud-to-cloud migration doesn’t come with any of the issues that can affect on-premise-to-cloud migrations, many of the challenges typically associated with migration don’t apply. You’ve (presumably) already developed a cloud strategy and laid out what you hope to achieve with migration. You understand cost, security and compliance, and technical needs, and hopefully, secured organizational buy-in for use of the cloud. But that doesn’t mean moving from one cloud to another is guaranteed to be hassle-free.

The main challenges associated with cloud-to-cloud migration are both related to the basic concept of change, and the pain it can induce:

  • Platform limitations – Different cloud environments have varying rules for how data is handled, and thus each has distinct limitations. Before you embark on a cloud-to-cloud data migration, it’s essential to ensure the target environment will meet all your requirements.
  • User Experience – Change is hard. Even a carefully orchestrated migration between cloud environments can impact the user experience. Files deleted before a cutover may reappear in the new environment, frustrating or confusing your users.

How to Optimize Your Cloud-to-Cloud Migration

There are compelling reasons to support cloud migration – and there are challenges that make the process unappealing. If you’ve decided, for whatever reason, that moving assets from your existing cloud environment to a new digital space is right for you, there are steps you can take to minimize pain and disruption. Conveniently, most of these steps are the same ones you took (or should have taken) when you migrated to the cloud in the first place:

  • Set operational goals and expectations
  • Ensure you understand the motivations for migrating
  • Research and analyze environments to find one that meets your expectations
  • Identify risks associated with the transition
  • Develop a migration plan that mitigates risk and minimizes disruption to all users

At Digibee, we’ve developed a low-code iPaaS that can help you make cloud-to-cloud migration easy and pain-free. The flexible, scalable and reusable elements of Digibee iPaaS ensures that moves to the cloud, or migrations from cloud to cloud, happen seamlessly.

See for yourself. Give us your cloud to cloud use case scenario, and book a no-obligation demo (your choice of 15, 30, or 60 minutes) to learn how our solution can simplify the migration process.