CLOUD INFRASTRUCTURE MANAGEMENT
Article | October 13, 2021
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
Software as a Service
Platform as a Service
Infrastructure as a service
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.
SaaS models are for the end-users.
PaaS models are for application developers.
aaS models are for the network/system engineers and architects.
Fit for small/ medium/ large enterprises.
Fit for medium/large enterprises.
Fit for medium to large enterprises that have distributed infrastructure.
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.
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.
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
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.
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Article | October 13, 2021
Today, almost every company across diverse industries leverage some kind of cloud infrastructure for efficient business. Cloud computing now has become mainstream as most organizations’ IT ecosystems adopt public and private cloud, alongside traditional IT practices. Moreover, many businesses also believe the hybrid cloud environment will assist them in addressing the challenges of these distinct infrastructures.As a wide array of cloud offerings available in the market, companies are often left besieged with conflicting pressures, ranging from cost management and security to vendor lock-in concerns. However, easing these challenges requires a grave step that several organizations are investing in when they plan for cloud adoption and that is a robust cloud governance model based on a wary assessment of long-term needs.Many businesses around the world are now realizing the importance of a multi-cloud strategy, and its demand is increasing rapidly. In a 2017 State of the SaaS-Powered Workplace report, companies use an average of 16 Software-as-a-Service (SaaS) apps, where 73 percent of businesses believed over 80 percent of their apps will be SaaS by 2020.
Article | October 13, 2021
If you don’t completely understand hybrid cloud, you’re not alone.
Organizations feel the pressure of being competitive by being innovative and adaptive due to changing infrastructure, changing strategies and changing technologies. Many businesses are looking to move their data centers to the cloud for obvious reasons like disaster recovery or increased capacity but importantly to bring in the digital transformation. Cloud has emerged as an enabler of success.
Cloud computing has evolved over the recent years to fulfil the varied needs of organizations, even as each organization realizes that it has different cloud requirements. This gave birth to Hybrid Cloud environment with both public and private cloud services.
Data is by-far the most important resource for organizations these days. This is where all the business lives. As organizations embark on strategic business initiatives to digital transformation, hybrid cloud model provides a wider data-centric view and seamless access to your data to produce insights by optimizing resource without compromising security.
Table of Contents:
- What is Hybrid Cloud?
- Why Hybrid Cloud over other cloud options?
- Gaining data insights in a Hybrid Cloud Environment
- Leveraging data to power innovation in a Hybrid Cloud environment
- In Conclusion
What is Hybrid Cloud?
Forrester research describes hybrid cloud as “One or more public clouds connected to something in my data center. That thing could be a private cloud; that thing could just be traditional data center infrastructure.” To put it simply, a hybrid cloud is a mash-up of on-premises and off-premises IT resources.
To expand on that, hybrid cloud is a cloud-computing environment that connects a mix of public cloud, private cloud and on-premises infrastructure. A key advantage to this model is that it allows workloads and data to travel between private and public clouds as demands and costs change, providing businesses with the flexibility they need.
There is not a single hybrid cloud model that works for every organization and every model should fit the unique needs of each company. By allowing multiple deployment models in a hybrid cloud, organizations are able to benefit from a seamless and secure environment which enables productivity and flexibility.
We believe in a world where you integrate public cloud with your on-premises infrastructure, and use each where it makes sense in conjunction with each other. And when we say integration, we mean true integration – across infrastructure, applications, development platforms, identity, and databases. This is what we call hybrid cloud.
- Microsoft Azure Jumpstart
Why Hybrid Cloud?
It is not usually feasible for businesses to go all in and move completely into the cloud straight away, unless they happen to be cloud-native organizations. That doesn’t mean that enterprises with legacy systems have been unable to make any headway with cloud. To get around this, they can try a mixture of public and private clouds, and combine this with hosted, collocated and on-premise infrastructure where necessary.
Hybrid cloud allows organizations to experience the advantages of both types of cloud. By spreading computational data across both resources, it is possible to optimize the environment whilst keeping everyday functions as streamlined as possible. Enterprises can make their own minds up on which type of data should be stored in a public cloud, whilst keeping any sensitive data in the private cloud. This is granting them the key element that they need: control. Access to the benefits of private and public clouds is perfect for organizations wanting to grow at the speed they need.
Hybrid solutions grant business the key element that they need: control. Control to optimize their IT investment by selecting the best-fit infrastructure for different categories of workload. Control to choose where their most critical data should reside. Control to spread their workloads across multiple platforms to avoid the risk of vendor lock-in from a single platform strategy.
Only 40% are currently able to move workloads across cloud types or providers. That means enterprises striving toward flexible use of hybrid clouds face a looming challenge, because 62% are looking to achieve portability within the next 18 months.
- CIO Quick Pulse Cloud
READ MORE: https://cloud.report/blogs/flexible-building-blocks-for-the-new-cloud-and-data-driven-world/12337
Gaining data insights in a Hybrid Cloud Environment
• Maintain the “Right” Data Placement
If your organization uses hybrid cloud, IDC highlights the “right” data placement as being critical to comply with regulatory mandates, to meet application response time, and to optimize infrastructure costs. In many cases, you must keep certain datasets within their respective countries of origin, or you must be able to move other datasets from one location to another. In either case, all your customers who access data, regardless of location, need the same seamless customer experience. By dispersing data correctly, your organization can provide faster data access for customers around the world.
And with the “right” data placement, hybrid cloud environments can provide data and data insights faster, without violating global regulations or creating content siloes.
• Develop a Holistic Picture of All Your Workloads and Data
To gain insight into your hybrid cloud environment, you need to have a complete picture of the workloads and the datasets within that environment. IDC suggests building “data maps,” which include your data, key owners, security requirements, sensitivity levels, data sources, and any other key metrics to meet your organization’s needs.
When your organization has this holistic picture, you can measure data as part of a whole set. You can also manage workloads and identify data trends that might have been siloed in the past. When all your data has been measured together as part of a larger map, you can discover new insights, identify new opportunities, and make data-driven business decisions.
• Understand the Real Costs of Your Service Options
Along with your holistic picture of workloads and data, you need to understand the real costs of your service options. What up-front costs are required? What hidden costs might be exposed later? What’s the TCO over time, and does it match the value of your data?
Cloud solutions are not one-size-fits-all, and your organization can create an environment that’s based on your needs, without added cost. As you create your hybrid cloud strategy, consider your existing costs and evaluate what options you have as you move data into your cloud environment.
• Embrace AI and Machine Learning
Forward-thinking organizations recognize that artificial intelligence (AI) and machine learning are the future of cloud data storage and management. A cloud environment with AI learns from the data that it gathers, makes predictions, and troubleshoots potential problems before they occur. IDC predicts that in the future, AI will drive self-configurable and self-healing infrastructures, enabling systems to dramatically reduce—or even eliminate—human errors.
You can also use AI and machine learning to seamlessly move data between an on-premises infrastructure and a cloud environment. In a hybrid cloud environment, seamless movement, accessibility, and connectivity are crucial. With AI attached to a hybrid cloud, your organization can manage and control data like never before.
READ MORE: https://cloud.report/blogs/how-to-maximise-business-objectives-using-hybrid-cloud-architecture/12360
Leveraging data to power innovation in a Hybrid Cloud environment
1. Control and Secure Your Most Valuable Asset environment
It’s impossible to gain insights from information that you don’t know that you have. In a hybrid cloud environment, you can easily keep your data visible and accessible without losing security. You can establish full data visibility across multiple clouds, and you can implement data protection policies that extend beyond your data center boundaries. With a hybrid cloud environment, you can control and secure your data, wherever it lives.
2. Access and Share New Data Insights
Infrastructure analytics and machine learning work across hybrid cloud environments to help you better understand your data. These data insights include performance, capacity, and availability of each dataset. With this kind of visibility into your organization’s data, you can:
• Decrease troubleshooting time.
• Optimize resources and reduce capital expenditures and operational expenditures.
• Manage costs.
• Implement showback and chargeback reporting.
Data visibility and insight go hand in hand. With integrated data management in a hybrid cloud environment, your organization can eliminate data bottlenecks and share insights to drive new business opportunities and growth.
3. Accelerate Application Delivery and Embrace Digital Transformation
Many enterprises are turning to DevOps as the best way to deliver new software features, services, and applications more quickly and with higher quality. Hybrid cloud environments facilitate DevOps practices by simplifying data services and by connecting your data, in the cloud or on the premises. By bringing developer and operations teams together, DevOps can reduce friction and put your company on a path to continuous integration and seamless delivery.
4. Empower Employees to Make Data-Driven Decisions
In a hybrid cloud environment, your organization can place data where it provides the greatest value, whether it’s a corporate data center, a production facility, a public cloud, or at a cloud service provider. A hybrid cloud also enables you to move data easily as your requirements change. With integrated and accessible data, employees at every level can make data-driven decisions. Working with data in a hybrid cloud environment is all about maximizing the value of the data. That means improving the customer experience, making information more accessible to stakeholders, and identifying opportunities that lead to new markets and new customers.
5. Accelerate Innovation
When your data is mapped and accessible in a hybrid cloud environment, your employees can discover new ways of looking at data to improve performance management, gain new business intelligence, and spot potential customers. Your company can move quickly to advance new ideas from concept to production while reacting faster to market changes. With your data connected through the hybrid cloud, you’re strategically positioned to unleash your data and to grow your business.
Public and private clouds have certain limitations, which is where Hybrid Cloud model shines. Hybrid Cloud approach allows the power to integrate your current IT Infrastructure with new cloud workloads. This leads to seamless access, wider data view and deriving new data insights for faster innovation while adhering to the ever changing tech scenario.
Article | October 13, 2021
Small and medium businesses (SMEs) play a significant role in the development and growth of the economy of any country. They are also a vital part of the global economy. To stay afloat in an increasingly interconnected and competitive global market, SMEs also need to adapt to the latest technology. SMEs that fail to do so will eventually have to close their doors.One of the most crucial technologies that SMEs must start using is cloud computing. It can help your business grow swiftly, lower infrastructure costs, and help drive innovation. According to a survey by Gartner, up to 60 per cent of organisations will use an external service provider’s cloud-managed service offerings by 2022, doubling the percentage of such organisations since 2018.