SaaS Vs. PaaS Vs. IaaS: Know the Best Fit for Your Business

Sayantani Bhattacharya | October 13, 2021

SaaS Vs. PaaS Vs. IaaS
With the growth of modern technologies, businesses are harnessing the power of cloud computing. Cloud computing is a strategic approach that allows on-demand data computing services over the internet on a pay-as-per-use basis. The storing and accessing of data in the cloud is done from a remote data center. As a result, it regulates the investment in costly hardware for an on-premise setup.

“Cloud computing is an innovative way to run your business.”

- Marc Benioff, Founder, CEO and Chairman, Salesforce.

According to the analysis report by the market intelligence firm ResearchandReport, the global cloud computing market size is projected to reach USD 1,251.09 billion by 2028, recording a CAGR of 19.1%. Amongst the different cloud computing models, the three most vital variants are SaaS, PaaS, and IaaS. This article describes the SaaS vs. PaaS vs. IaaS strategies, their comparison to help you determine the best fit for your business. 

The Three Most Vital Cloud Strategies for 2022

But before we begin, let us quickly look upon the interesting statistics on SaaS, PaaS, and IaaS in cloud computing by Statista. It states that the global market size for SaaS is expected to reach 172 billion USD, whereas PaaS and IaaS will reach 101 billion USD and 122 billion USD, respectively, in 2022. Several small-scale, medium-sized, or large-scale enterprises are adopting cloud service models to meet digital transformation. As you plan your workload migration to the cloud, it is vital to understand the ideal strategic model for your business by knowing the details and the difference between SaaS, PaaS, and IaaS.

SaaS (Software as a Service)

SaaS offers on-demand, ready-to-use cloud-based applications to the end-users. It is hosted by a provider and is delivered via the internet on a pay-as-you-go subscription. SaaS applications integrate data from diverse storage locations of an enterprise. SaaS providers keep enhancing their products and ensure that their customers use its latest version every time. Some examples of SaaS platforms are Google Workspace, Dropbox, Salesforce, Cisco WebEx, etc.

Benefits of SaaS

Let us consider a real scenario to explain the advantages of adopting a SaaS computing strategy.

How the University of Sydney Leveraged SaaS (Dropbox) to integrate the processes?

The University of Sydney was facing challenges due to disintegration among its multi-data storage platforms. They needed a unified application that is scalable, user-friendly, and easily accessible across their ecosystem for accelerating their research process.The University of Sydney could securely store and connect data to accelerate the research process by leveraging Dropbox. After implementing Dropbox, the university could significantly establish collaboration between their staff and students and external alliances across the globe. Further, they could control the overhead training and infrastructure cost. Governance also became easy with Dropbox, allowing IT teams to utilize their productive time in other crucial tasks. The scalability and user-friendliness were the primary factors that motivated the university to adopt Dropbox.Referring to the above instance, we can infer that a SaaS model can regulate cost, save time, be user-friendly, and scale as per demand. Further, this model is easy to deploy and maintain that needs minimum focus by the company's technical department.

Drawbacks of SaaS

Every pro comes with a con, and SaaS models are no exceptions.
  • Performance Reliability: SaaS applications are dependent on the internet, and as a result, they might become inconsistent at times. The only way to avoid this is by investing in a stable and high-speed internet connection. Additionally, you can also use software performance management tools to check the performance of SaaS applications at regular intervals.
  • Data Security: Data Security is one of the crucial aspects of any organization. SaaS apps lack transparency and the ability to protect business-critical data. As a result, some enterprises dealing with confidential information are in two minds to switch to the software-as-a-service model.

PaaS (Platform as a Service)

PaaS model provides a ready-to-use cloud environment for creating, testing, and maintaining software applications. With the PaaS model, you don’t have to build and maintain the infrastructure required for your application. Examples of PaaS models are Windows Azure, LoadSpring, Google App Engine, Apache Stratos, OpenShift, etc.

Benefits of PaaS

“LoadSpring Cloud Platform is more agile and flexible than other available solutions. We provide cloud solutions to our vendors and partners who want their applications to be SaaS-enabled. Our speed, performance, and seamless integration make it the ideal platform to deploy their apps.”

- Stacey Witt, Chief Marketing Officer at LoadSpring (During an interview with Media 7)

With Stacy’s statement, we can sense how a PaaS model can be helpful for your organization. PaaS is ideal for many medium or large-scale businesses because it provides a ready-to-go solution. All you need is an IT support team to handle the data usage and software. However, with the PaaS model, you have control over the performance of your platform. 
Let us explain with an instance.

How Atos Used PaaS (LoadSpring) to Solve the Challenges Faced by Siemens?

At the Gas and Power division of globally recognized brand Siemens, the leaders started experiencing a sloth in their locally hosted P6 and wanted to improve the performance.As an IT support provider for Siemens, Atos assisted them in overcoming the scenario. It referred LoadSpring to assess their P6 cloud-hosting. After sequences of operations, the LoadSpring platform enabled P6 to run 10 times faster than the locally hosted version. This enhanced performance saved an hour per user per week. As a result, Siemens considered their workload migration to LoadSpring that helped them increase their project efficiency.

Drawbacks of PaaS

Here are some of the loopholes to consider while adopting PaaS.
  • Dependent on Third-Party Vendor: PaaS solutions are vendor-dependent. If you wish to change your existing PaaS model, you may face compatibility issues. It is primarily because all the vendors might not support the same framework to develop and run the applications.
  • Security Concerns:  A potential risk for your application’s back-end data and hosting code may arise because it is stored at the vendors’ site. You should cross-check and verify the security and compliance protocols with your vendor beforehand.

IaaS (Infrastructure as a Service)

IaaS is one of the cloud computing models that provides virtual data centers to medium or large-scale enterprises. It includes the entire infrastructure to research and develop advanced technologies on the cloud. IaaS is a self-service model that hosts website and software solutions and performs data mining and analysis. Examples of popular IaaS models are Amazon Web Services (AWS), Microsoft Azure, Google Compute Engine (GCE), Cisco Metacloud, etc.

Benefits of IaaS

To understand the advantages of IaaS, let us consider a situation faced by the globally acclaimed OTT platform- Netflix.

How Netflix Depended on IaaS (AWS) For a Scalable and Reliable Infrastructure?

Netflix experienced a momentary surge in viewers and subscribers due to the extreme changes across the world. To accommodate this demand, it needed an infrastructure that could scale simultaneously. As a result, Netflix trusted AWS to help it modernize improved computation, storage, and infrastructure that allow the company to scale rapidly, function steadily, and match up to the capacity needs across the world.
Taking cues from the above example, we can deduce the benefits of using IaaS. IaaS cloud service model is highly scalable, easy to automate and deploy, flexible, and reliable. It also comes under the pay-as-you-go model and hence proves to be cost-efficient as well.

Drawbacks of IaaS

Here are some of the limitations of IaaS that you need to consider.
  • Train Your People: IaaS model will provide the complete infrastructure for your business, and you need to ensure the smooth running of all the operations. Hence, it becomes inevitable for your team to have thorough knowledge about the deployed model. Otherwise, you might have to face unnecessary hindrances.
  • Managing Downtime: Enterprises might encounter downtime with IaaS, restricting their access to operational data and applications. As a result, it might affect their process- efficiency for some time.

SaaS Vs PaaS Vs IaaS: A Comparative Study

Parameters SaaS PaaS IaaS
Full-Form Software as a Service Platform as a Service Infrastructure as a service
Operation It is a cloud-based model that unifies data on a single application and is available at a pay-as-you-go price. It needs the internet and a web browser to operate. It is a cloud-based service model available on a pay-as-you-go basis. It allows the developers to build, test, and maintain applications over the internet. It is a cloud-based, pay-as-you-go model for storage, networking, and virtualization services available over the internet.
User SaaS models are for the end-users. PaaS models are for application developers. aaS models are for the network/system engineers and architects.
Industry Fit for small/ medium/ large enterprises. Fit for medium/large enterprises. Fit for medium to large enterprises that have distributed infrastructure.
Technical Knowledge SaaS end-users don’t need any technical knowledge to operate the application. Technical knowledge is needed to work on the PaaS framework. Expert technical knowledge is mandatory to handle the IaaS framework.
Maintained by It is controlled and maintained by a third-party vendor. It is controlled and maintained by a third-party vendor. It is a self-service model controlled by enterprises. The service provider does the maintenance.
Examples Google Workspace, Dropbox, Salesforce, Cisco WebEx, etc. Windows Azure, LoadSpring, Google App Engine, Apache Stratos, OpenShift, etc. Amazon Web Services (AWS), DigitalOcean, Rackspace, Microsoft Azure, etc.

Which Cloud Strategy is Suitable for Your Business?

Each cloud model provides explicit features and functionalities. Knowing the difference between SaaS vs. PaaS vs. IaaS will help you decide the deployment based on your requirement. If you want cloud-based software to make your operational process efficient, you have SaaS by your side! On the other hand, if you want a seamless platform to develop customized applications, you can select PaaS as the solution. Further, if your business demands you to control the entire infrastructure completely, the IaaS is the best fit for you.

Tips To Select the Right Cloud Strategy for Your Business

Selecting the right cloud strategy helps your business grow. Further, it gives you the upper hand to utilize your organizational data as per your requirement. However, it is crucial to understand your business demand before you leverage any cloud service models. Here are some tips to opt for the best suit:
  • Gain knowledge about the cloud and learn how it can benefit your business
  • Recognize the demand
  • Identify your end-goal and have a clear road-map
  • Set a budget and timeline
  • Define the target state of your cloud strategy
  • Assess the capacity and readiness of your IT Department
  • Be alert about the potential risk

Final Takeaway

SaaS vs. PaaS vs. IaaS- Irrespective of which cloud service model you select, your decision to migrate the workloads to the cloud aligns your business goals with global technological advancement. Gartner says, “By 2022, up to 60% of enterprises would use cloud service through an external service provider, which is almost twice the percentage from 2018.” You can select the ideal cloud service that will cater to your problem statement and analyze which cloud service generates the most revenue for your business by referring to the advantages, limitations, and enterprise instances of the three vital cloud services for 2022, explained above.  

Frequently Asked Questions

What is the difference between IaaS, SaaS, and PaaS?

IaaS is a cloud-based model for services such as storage, networking, and virtualization. PaaS is a cloud platform with hardware and software tools to build an application. Finally, SaaS is a cloud-based application available via a third-party vendor.

Which out of IaaS, SaaS or PaaS is most beneficial for cloud computing?

All three service models have their features and areas of operation. It entirely depends on the enterprises to leverage the ideal service based on their business requirement.

Which cloud strategy (IaaS/SaaS/PaaS) generates the most revenue?

To determine which model can generate the most revenue for your business, you need to refer to its technology stack and choose the best model to make operations efficient by releasing the load on your workforce.



Smarsh® delivers cloud-based archiving solutions for the information-driven enterprise. The Smarsh platform provides a unified compliance and e-discovery workflow across the entire range of digital communications, including email, public and enterprise social media, websites, instant messaging and mobile messaging. With Smarsh, you can search and review all of your content in one place, creating efficiency and peace of mind.


Will Multi-cloud Strategy Be a Preferred Option?

Article | March 26, 2022

What Is a Multi-cloud Strategy and How Is It Different from Other Cloud Strategies? Long gone are the days of storing data on expensive data centers. Organizations are now rightfully leveraging the features offered by cloud computing. However, for organizations that use cloud services across numerous geographies, associating with just one cloud service provider to meet their needs is a struggle. This is where organizations opt to utilize a multi-cloud strategy. Most enterprise adopters of public cloud services use multiple providers. This is known as multi-cloud computing, a subset of the broader term hybrid cloud computing. In a recent Gartner survey of public cloud users, 81% of respondents said they were working with two or more providers. According to Michael Warrilow, VP Analyst, Gartner, the dominance of mega vendors in the public cloud services market is the main reason enterprise buyers choose multiple cloud providers. Multi-Cloud vs. Single Cloud According to Forbes, a typical organization would ideally use six cloud computing services. There is a general notion that a single cloud is a better and more effortless strategy to orchestrate. It is only when organizations add multiple clouds to their existing infrastructure in a haphazard manner that it can lead to chaos and trouble in maintenance. Multi-Cloud vs. Hybrid Cloud A hybrid cloud infrastructure blends two or more different cloud models, whereas a multi-cloud blends other clouds of the same kind. Since all cloud providers don’t have the same offerings, organizations must adopt a multi-cloud strategy to deliver best-in-class IT services. Multi-cloud infrastructure enables businesses to maintain a hybrid cloud environment that provides security and cost benefits at the same time. The most secure workloads are kept in the private cloud, while typical corporate data and apps are run on less expensive public cloud networks. What Is the Need for a Multi-cloud Strategy? With several major cloud platforms like AWS, Microsoft Azure, and Google Cloud Platform, organizations can utilize the advantages of each platform for their own functioning using a multi-cloud architecture. This helps organizations be independent of just one cloud service provider. According to Rightscale’s 2016 State of the Cloud Report, companies use an average of 3.6 different public clouds. It’s not always on purpose. In some organizations, multi-cloud happens by accident. The marketing team decides to use AWS while the HR department, operating in its silo, deploys Azure. And there you have it: a multi-cloud environment. There are several other benefits that an organization can utilize. Some of the most common pros of multi-cloud platforms are: Reduced risk of vendor lock-in and single-vendor dependency Availability of the latest services that suit your business needs Business continuity and disaster recovery Workload optimization Reduction in time-to-market Agility in addressing the latest business needs Challenges of Multi-cloud Approach Even though a multi-cloud approach is significantly advantageous, there are still certain downsides that organizations face while implementing their multi-cloud strategy. Exploring the top four challenges of the multi-cloud approach: Management Complexity With multiple cloud environments, management tasks become more complex. The core issue is the diversity of cloud vendors. Every public cloud vendor has its own portal, APIs, and unique processes for managing their environment. Talent Scarcity One of the significant challenges organizations face while deploying their multi-cloud strategy is the lack of resources with the mastery of managing specific cloud platforms. With supply being scarce, this would mean battling the tight labor market along with rapidly changing technologies. Because of this, organizations will have to rely on service providers who know how to work with multiple cloud systems to fill in the gaps. Cost Control Among other benefits, multi-cloud provides data administrators the ability to quickly deploy applications in the cloud environment of their choice. Unfortunately, the billing process can sometimes become troublesome when organizations implement a multi-cloud strategy. Governance, Compliance and Security Concerns Even though cloud service providers offer robust security architecture and protocols, it is eventually the organization’s responsibility to secure their data in all their cloud and on-premise environments, What Is the Future of Multi-cloud Infrastructure? All cloud services are prone to some failure at any given point and even though this statement is technically correct, there has been tremendous development in cloud computing that caters to such issues. Therefore, for organizations that wish to grow exponentially with the least possible hurdles, the best available option is implementing a multi-cloud strategy. When an organization uses a multi-cloud strategy, it empowers them to distribute their workloads across multiple cloud environments while mitigating any risk associated with individual cloud environments. This alone justifies the widespread growth and adoption of multi-cloud architecture solutions in the future. Some points that define the multi-cloud platform as the future of an organization are: Optimized ROI Superior Security Low Latency Autonomy Less Prone to Disaster Conclusion The use of a multi-cloud strategy alone now provides organizations with a significant competitive advantage. There are new tools that also help you monitor usage, performance, and costs across a multi-cloud environment. This also helps bring intelligence and automation to your multi-cloud approach. This enables your organization to efficiently and cost-effectively leverage multiple cloud infrastructures without having to change applications or operating systems. FAQ Q1: What Is the Difference Between Multi-cloud and Hybrid Cloud? Both multi-cloud and hybrid clouds are deployment models wherein you use more than one cloud. The core difference is that a hybrid cloud blends two or more different types of clouds, while a multi-cloud blends other clouds of the same kind. Q2: What Is the Purpose of Multi-cloud? A multi-cloud strategy allows stakeholders to pick and choose specific cloud solutions that would work best for their organization. When diverse business needs arise, organizations can allocate resources to different cloud providers, maximize those resources, and only pay for what they use. Q3: What Is the Most Important Aspect of Deploying a Multi-cloud Strategy? By effectively deploying a multi-cloud strategy, there are multi-cloud access layers that are deployed. This is a crucial layer of the multi-cloud network because it ensures that the cloud is securely accessible by all business components.

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Cloud Computing Vs. Edge Computing

Article | March 21, 2022

Understanding the Difference While talking aboutedge computing vs cloud computing, the first and foremost aspect that one must understand is that these components are entirely different and non-inter changeable. Therefore, one cannot simply replace the other in any circumstance. Edge Computing Edge computing is ideally known as a distributed computing framework that brings the enterprise closer to data sources such as the IoT and local edge servers. Edge computing is used to process time-sensitive data. By placing the computing services closer to the location, users can effectively benefit from faster, more reliable services. Edge computing is also a constructive way for a company to use and share resources across a lot of different places. Cloud Computing Cloud computing can ideally be termed as a platform where resources like compute, storage, and networks can be flexibly used depending upon specific workloads in a highly virtualized manner to fulfill the requirements of modern-day workloads. As a result, organizations can now leverage cloud computing rather than having to invest in hardware themselves and function on-demand effectively. What Is the C-suite Preference? Cloud computing’s central idea of offering centralized data sources that can be accessed from anywhere in the world is typically the complete opposite of edge computing’s local data handling concept. Even though cloud computing plays an essential role, the possibilities offered by edge computing to leverage the IoT.Edge computing efficiently process data they gather closer to the source and arenow asking organizations to reconsider their view ofIT infrastructure. Advantages of Edge Computing The exponential rise of IoT devices emphasizes a shift in how businessescollect and analyze data. While organizations use content delivery networks to decentralize data and service requirements by copying data closer to the user, edge computing uses smart devices, phones, or even network gateways to conduct tasks on behalf of the cloud, ensuring computing power is brought closer to the users. Some of the most renowned advantages of edge computing: Speed Security Scalability Versatility Reliability In 2015, Google Scholar had just 720 new publications relating to edge computing; by 2020, that number had increased to almost 25,000. The number of edge patent filings follows a similar pattern: there were 6,418 edge computing patent filings in 2020, more than a hundred times the number in 2015. Advantages of Cloud Computing The back and forth movement of data from the point where it is created to central servers for processing and then to the end-user requires a lot of bandwidth. The benefits of cloud computing are: Flexibility Consistency Low cost Mobile accessibility Maintenance Cloud computing is a great euphemism for centralization of computer services under one server.” EvgenyMorozov, American writer and researcher Detailed Analysis of the Cons Edge Computing Even though edge computing facilitates more opportunities for data processing and storage at a localized level, some regions are prone to disadvantages when it comes to implementation. Numerous areas will also face a lack of skilled IT professionals who are crucial in launching and managing the local edge network’s devices. With the vicious circle of limited network capacity, building sophisticated network models with diminished network infrastructure would be the ideal way to begin. Some of the cons have been highlighted below: Geographic inequalities Trouble preventing and monitoring security breaches Loss of data with potential energy Cost and storage implementation requirements Cloud Computing Despite the hype around flexibility in cloud computing in the IT world, there are still some disadvantages to cloud computing that users might come across, especially during smaller operations. Some of the cons have been listed below: Cloud security and data theft Cloud downtime Limited control Vendor lock-in Who Wins the Race? Traditionally, cloud computing has emphasized centralized cloud services divided into a handful of large data centers. This centralization allowed the resources to be highly scalable and sharable while maintaining control and security. Edge computing looks to address those use cases that cannot be adequately addressed by the centralization process, often because of networking requirements and other constraints. Several observers believe that in the debate between edge computing vs cloud computing, edge computing will eventually supersede cloud computing as computing, in general, will become decentralized, and the need for centralization will diminish. But because their duties are very different from one another, this scenario is implausible. Conclusion Edge cloud computing devices are built to accurately capture and process data on-site and analyzeitin real-time. This is not predominantly concerned with data storage. Whereas cloud computing is built on infrastructure and can be quickly expanded to meet the requirements of your workloads. So, ideally speaking, edge computing is appropriate for applications where each millisecond matters, and cloud computing is best for non-time-sensitive applications. FAQ What Is the Primary Difference Between Cloud Computing and Edge Computing? The primary difference between cloud computing and edge computing is that edge containers are situated at the edge of a network, near the data source. In contrast, cloud containers operate from a data center. Will Edge Computing Completely Replace Cloud Computing? This is a highly unlikely scenario where edge computing would replace cloud computing. There is always going to be aneed for centralized processing and storage. Edge computing would cover some of the shortcomings of cloud computing, instead of replacing it. Is Edge Computing the Future? A recent report by Market sand Markets predicted that the edge computing market will grow from $36.5 billion to $87.3 billion from 2021 to 2026.

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Impact of Cloud Computing in Changing Management

Article | March 15, 2022

Constantly evolving with growing technology and the market's needs makes an organization dynamic. Several companies have made significanttech changes to accommodate the ever-changing working environment. Resourceful computing has been a blessing to organizations as it helps them better manage themselves. Impact of Cloud Computing Cloud-based technology is an aspect that has constantly come up with innovative ways for organizations to perform better and more efficiently. It also accommodates the remote working requirements of employees. All operations, including management processes, are now shifting to the cloud. Cloud computing has been offering a wide range of options, even for managerial purposes. At present, around 94% of enterprises are already using a cloud service. In a way, it is also changing the landscape of management. Understanding How Cloud Computing Is Changing Management Cloud computing for businesses has allowed them to move massive amounts of data in a short period of time. It is fair to say that cloud computing management has fundamentally changed how we communicate and work. This has paved the way for an entirely new level of expectations, where organizations make the most of the benefits of the services provided by the cloud. Facilitates Faster Change Processes Cloud computing business models are specifically designed and built to facilitate speed when change is required. Cloud-based technology ensures that components and licenses are available on demand. As a result, by using only a few clicks and operations, inculcating change has become fast and straightforward. It also has a feature called auto-scaling, which means that capacity can be increased automatically and on demand. Shift from Control to Enablement Agile and DevOps have become the mainstay of solution development in the cloud; change management needs to move from control to enablement. New approaches like these are entirely self-managed and repel any attempt to impose bureaucratic power, which is a hallmark of change management. Cloud-based technology works towards de-risking numerous changes. Adopting the cloud computing business model means that change management should focus on leveraging capabilities and emphasizing change models. Historically, it has been seen that in the world of information technology, the main changes in management are influenced by the changes in the ways of gathering information. In the age of cloud computing, information is traveling in both directions at a great speed across computing systems, and possibilities like virtualization, scaling up or down for handling bigger workloads, or automated security patching across thousands of computers are far more flexible in nature. This demands a more flexible organizational structure that can respond to customer needs by adjusting itself. This flexible system depends on rapid data collection, analysis, and over-the-air changes to product software if required. Change Authority's Need to Adjust Traditionally speaking, several change authorities are dependent on the type of change that would be implemented. For example, a crucial difference like cost and risk would go to the board for approval, whereas a low-level change might require the data center manager's approval. To speed things up in the cloud environment, product and infrastructure teams need to prioritize and decide on changes first. With the cloud, individuals and small businesses can snap their fingers and instantly set up enterprise-class services.” Roy Stephan, Founder, and CEO, PierceMatrix. How Does Cloud Computing Management Redefine Business Functioning? The cloud computing business model helps organizations understand future processes. It presents an excellent opportunity to identify the impact of change that deployment will have on the organization at a very early stage of the project. Organizations can compare the impact of changes across various application platforms and factor this input into their software selection process. Early understanding of change impacts and delay elements also allows businesses to define project scope better and address their present challenges. The steps mentioned below will help your organization effectively start to manage change. Capture and analyze the effects of change Determine the degree of difficulty of the change Create the OCM roadmap, resources, and budget Conclusion Actionable insights are critical for pivoting the company in new directions as it responds to market changes. As a result, organizations that want to shift their business to the cloud must think carefully about their options and implementation strategies. FAQ How Can Cloud Computing for Business Change Management? Cloud environments also facilitate a wide range of automation, integration, and deployment tools. These tools allow organizations to make small, frequent changes that can reduce business risk and introduce business value at an increased rate. What Are the Considerations for Change Management in the Cloud? There are three considerations for change management in the cloud: Cloud environments facilitate faster change processes New solution development approaches require a shift from control to enablement Change authorities’ perspectives need adjusting What Are the Benefits of Cloud Computing for Management? The benefits of cloud computing for management are: Organizing and planning Product development and customer experience Controllability

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Importance of an Effective Cloud Disaster Recovery Strategy

Article | March 11, 2022

What Is Cloud Disaster Recovery? To understand cloud disaster recovery, one must know what disaster recovery is. As the name suggests, it has everything to do with the aftermath of a disaster. Ideally, disaster recovery is the process where organizations prepare for disasters and are fully equipped to recover from them. Therefore, it is undoubtedly an integral part of any business and helps maintain business continuity for any organization. In addition, disaster recovery is focused on securing an organization’s assets. Hence, cloud disaster recovery plans are a group of procedures and measures that ensure an organization is functioning smoothly with the help of dedicated cloud service providers. Understanding Why Cloud Disaster Recovery Is Important Business continuity is an essential component for every functioning organization. A business that has a break in functioning due to a disaster can hamper almost everything. This is precisely where a cloud disaster recovery plan comes into action. Using the amount of flexibility available, cloud technologies vastly aid in efficient disaster recovery, irrespective of the intensity of the workloads. With data being stored in a secured cloud environment that is curated to provide high availability, managing and setting it up isn’t a humongous task. The possibility of your business being affected by a disaster is never too small, and with the current rise in cyber-crime, is it worth the chance? Disaster recovery in cloud computing can help your business deal with ransomware, cyber-attacks, and other such disasters. These are threats that have the potential to completely destroy your files and present your business with a painful downtime. Most organizations know the value and importance of having an effective disaster recovery plan, and if you don’t have one in place yet, you already have a late start. But it’s never too late to implement effective disaster recovery strategies and benefit from cloud-based solutions. Understanding cloud disaster recovery benefits: Offers great flexibility Drastically reduces downtime Provides reliability Ensures simplification and efficiency Easy to deploy Highly cost-effective How to Formulate an Effective Cloud Disaster Recovery Strategy? With the help of cloud computing, disaster recovery has ideally become just another task that can be taken care of using some simple steps. Before formulating a cloud disaster recovery plan, it is suggested that you look into all the possible threats that might affect your organization. In the event of a disaster, you can figure out how much money will be needed and where your infrastructure is at risk by taking into account all the risk factors. To effectively formulate a cloud disaster recovery strategy, it is best to follow the steps below: Outline your possible risks and understand your infrastructure Conduct a business impact analysis Parameters of assessment: Recovery Time Objective (RTO) Recovery Point Objective (RPO) Establish a disaster recovery plan based on your RTO and RPO Choose the right cloud partner Focus on building your cloud disaster recovery infrastructure Standardize your disaster recovery plan on paper Constantly test your disaster recovery plan As data security becomes more important, the global disaster recovery cloud services market has increased dramatically. It is predicted to grow from $4.35 billion in 2019 to $23.3 billion in 2027.88% of enterprises say the public cloud will play a role in their backup plans in the future. Factors to Weigh While Assessing the Ideal Cloud Partner Strategic cloud disaster recovery assessment and planning is something that not everyone can take up.Also, why stress on this when you can engagewith a provider with great experience. The right cloud partner should ideally help you conduct a thorough business impact analysis to aid in the familiarization of the potential operational limitations you would encounter during a disaster. Hence, choosing a cloud partner who is intelligent, pragmatic, and solution-oriented should be of the utmost priority. Such a cloud partner will have all the necessary tools and help you carry out a better assessment of the potential danger to your data. While formulating the cloud disaster recovery plan, keep in mind: Design your strategy according to your recovery goals Implement control measures Prepare your software Implement your security and compliance controls Use cloud storage as your daily backup routine Conclusion In today’s age and time, disaster recovery should be a priority for every organization. While some calamities are unforeseen and highly impactful, successful organizations are always the ones that are capable of getting back up, and this is exactly where a cloud disaster recovery plan comes into action. Once you have assessed every aspect of your recovery strategy, you’d only have to pick the service provider who’s capable of implementing your requirements seamlessly. Once you have all these points in place, your business will be well equipped for almost any possible disaster. Make ‘business continuity’ ‘business as usual’ and imbed it into your management routines as decisions are made, instead of an afterthought check off the box exercise later.” Bobbie Garrett FAQ What Is a Cloud Disaster Recovery Plan? Cloud-based recovery plans help the organization recover its critical systems after a disaster and also provideremote access to your system using a secure virtual environment. Why Is a Cloud Disaster Recovery Plan Essential? When an organization does not have an effective disaster recovery plan, it puts the organization at risk of high financial costs, reputation loss, and an even greater risk of losing clients and customers. What Are the Benefits of Having an Effective Cloud Disaster Recovery Strategy? Using a cloud disaster recovery strategy, organizations can benefit from: Cost efficiency ncrease employee productivity Greater customer retention

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Smarsh® delivers cloud-based archiving solutions for the information-driven enterprise. The Smarsh platform provides a unified compliance and e-discovery workflow across the entire range of digital communications, including email, public and enterprise social media, websites, instant messaging and mobile messaging. With Smarsh, you can search and review all of your content in one place, creating efficiency and peace of mind.