A computing platform is the environment in which we can run software. It includes the hardware and the operating system (OS), like Microsoft Windows or Mac OS. It also includes other underlying software, such as a web browser and associated application programming interfaces (API).
We live in a digital world. Computers are a part of our daily lives. We use them for everything from email to online banking to shopping. They’re also a vital part of the modern workforce, be it a software developer or a scientist.
There are various platform types. However, in this post, we’ll explain what a computing platform is and how it works. We’ll also discuss the different computing platforms and how they help us accomplish things.
What Is A Platform?
In the digital world, a platform comprises tools for building, modifying, maintaining, and monitoring online services and applications. It’s an environment that’s set up to run, or execute, software programs. In other words, it is a set of hardware architecture, equipped with an operating system, that allows programs to run.
Computation platforms are typically used by IT specialists or developers—game devs, web developers, software-as-a-service developers, and more.
Types of Computing Systems
Hardware-Centric Models
There are three main types of hardware-centric computer systems.
- Mainframe computers: Built for size and speed, these supercomputers are generally used by large organizations and governments.
- Minicomputers: These medium-sized devices can be small- to medium-sized servers.
- Personal computers: Hardware devices that are used by individuals and provide them with a computing environment. So, your laptop running a Windows operating system or MacOS is a personal computer, as is your iPad, tablet, or mobile phone.
Service-Oriented Models
These platforms are designed to provide a service. They can be divided into the following categories.
- Hardware platform: A set of compatible physical components on which software programs can be run.
- Cloud platform: A set of services and infrastructure that allow you to develop and run applications. It’s usually delivered by a cloud provider (e.g. Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform, etc) as opposed to systems and information that are on-premises.
- Platform as a Service: A specific category of cloud services that offer you the infrastructure and applications required for software development (e.g. Heroku, Google App Engine, RedHat Open Shift, etc).
- Desktop Platforms: These are operating systems designed for personal computers and workstations, such as Windows, macOS, and Linux. They provide a user interface and applications for general computing needs.
- Server Platforms: These are operating systems and software designed to manage and provide resources over a network, such as Windows Server, Linux distributions like Red Hat Enterprise Linux, and UNIX.
- Mobile Platforms: Operating systems specifically designed for mobile devices, such as Android and iOS, offering apps and services optimized for touch interfaces and mobile connectivity.
- Web Platforms: These include browsers and associated server-side technologies that enable the operation of web applications and services.
- Enterprise Platforms: Software solutions for integrating various business processes within an organization, such as ERP and CRM systems.
- Embedded Systems: Specialized computing platforms for dedicated functions within electronic devices, like IoT equipment, routers, and smart home devices.
- Development Platforms: Environments for software development, including IDEs and code editors.
- Cross-Platform Systems: Software applications or resources that function across multiple operating systems or device types.
Architectural Platform Model
- Client/server platform: A network architecture where multiple clients (users or computers) request and receive services from a centralized server
As you can see, the term platforms includes a whole number of systems. To keep things contained, we will specifically cover cloud platforms. But, before we do that, let’s take a quick look at the history of computing platforms.
The History of Computing Platforms
Early Computing Systems (1940s-1950s)
- Electromechanical and Electronic Computers: Pioneering machines like the Z3, ENIAC, and UNIVAC I marked the beginning of the computing era. These were room-sized, stand-alone systems that used vacuum tubes and punch cards. This is also the time when the early programming languages were developed.
Mainframes and Minicomputers (1960s-1970s)
- Mainframes: Dominated by companies like IBM, mainframe computers became the backbone of business computing, handling large-scale processing for enterprises.
- Minicomputers: Smaller and less expensive than mainframes, minicomputers like the PDP series and IBM System/3 were more accessible to medium-sized businesses.
Personal Computers (1980s)
- PC: The introduction of the IBM PC in 1981 and subsequent machines from Apple, Commodore, and others brought computing power to individual users. The rise of Microsoft’s MS-DOS and later Windows, alongside Apple’s Macintosh, established the desktop platform era.
- Internet and Web Platforms (1990s): The Internet transitioned from a research network to a public utility, leading to the Web’s explosion.
- Web Browsers: Netscape Navigator and later Internet Explorer become gateways to information and services.
Mobile and Cloud Computing (2000s-2010s)
- Smartphones and Mobile OS: The launch of smartphones like the iPhone in 2007 and platforms like iOS and Android changed how users interact with digital services. These now come in different sizes, processing speeds, and with a range of applications and processes.
- Cloud Platforms: Companies like Amazon, Google, and Microsoft developed cloud computing services, offering scalable, on-demand resources and SaaS (Software as a Service). You can access them within the browser, with no additional installation required.
Virtualization, Big Data, and AI Platforms (2010s-Present)
- Advanced Virtualization: Enhanced virtualization technologies led to more efficient resource management and cloud platform expansion.
- Big Data Analytics: Platforms emerged to process and analyze the growing volume of digital data.
AI and Machine Learning: Platforms like TensorFlow and cloud AI services enabled complex algorithms to run large-scale machine learning models.
Through each era, computing platforms evolved to become more powerful, interconnected, and user-friendly. These platforms have paved the way for a future where ubiquitous computing and AI continue to revolutionize how we live and work. One of the ways they’ve changed the way we work is through cloud platforms that make remote working easier.
Which brings us back to the topic of cloud platforms.
So where does that historical arc land us today? At its core, computing in the cloud means moving the work of processing, storing, and managing data away from a local machine and onto remote infrastructure — infrastructure that someone else maintains, scales, and secures. It’s a shift in where the heavy lifting happens, not in what the heavy lifting is. Understanding that distinction is the key to making sense of everything the cloud has to offer.
What Is The Cloud?
In a nutshell, the cloud is the term given to a network of servers that each serve a different function. It’s a series of interconnected remote servers, forming a central ecosystem rather than a single physical entity.
We use this infrastructure to manage data, run applications or deliver content among other things. Instead of storing and accessing data and files from a local hard drive, you host them on a server online. You can access them from any device with an internet connection and are available anywhere. These services are often scalable. You pay for what you use, which makes them cost-efficient. You can increase the service costs as and when you feel the need for more.
There are different ways to deploy resources into the cloud. Businesses can choose public, private, or hybrid cloud technology. Public clouds are shared resources, while a private cloud is a more secluded server where you own most, if not all, resources. In contrast, a hybrid cloud offers the best of both worlds, sharing services between both public and private.
What Are the Cloud Services Available?
Over the years there have been many advancements in cloud computing. As a result, there are a wide range of services on offer for industries. These services can be categorized into the following:
- IaaS (Infrastructure as a Service): IaaS platforms provide users access to raw processing power, data storage and network capabilities. They include hardware components and a software framework, to take away the burden of infrastructure management away from you.
- PaaS (Platform as a Service): Tailored more towards software developers, this type of service provides teams with a pre-configured development platform layer as well as other components such as web servers, SDKs and database management.
- SaaS (Software as a Service): These tend to be pre-build applications hosted in a cloud infrastructure online. Web-based software platforms tend to serve a variety of business needs, from CRM and marketing automation to business analytics.
Technical Specifications to Keep in Mind When Choosing a Cloud Platform
When discussing cloud computing platforms, it’s crucial to compare technical specifications that define their performance and usability. These specifications can vary greatly between service providers and are pivotal in fulfilling different computational needs, from basic web applications to complex, data-intensive workloads.
Compute Performance
- Virtual CPU (vCPU) and Memory Allocation: Cloud platforms allocate virtual CPUs and memory to virtual machines (VMs) and services, impacting the ability to handle compute-intensive tasks.
- Auto-scaling: The ability for a cloud platform to automatically scale resources affects how well it can adapt to fluctuating workloads, ensuring optimal performance without manual intervention.
Compute performance in the cloud is vital for running applications efficiently. Service providers offer a range of machine types with varying vCPU and memory configurations, catering to different sizes and types of workloads.
Storage Solutions
- Object Storage: Highly scalable, used for storing unstructured data. Performance varies based on redundancy and retrieval speed.
- Block Storage: Offers traditional drive interfaces and is typically used for database storage. Performance is characterized by IOPS (Input/Output Operations Per Second) and throughput.
- File Storage: Provides a shared file system accessible to multiple instances. Performance is measured by the ability to handle concurrent access and the speed of operations.
Cloud platforms offer diverse storage options, each with distinct performance characteristics. Choosing the right storage solution is dependent on the specific requirements of an application, such as latency sensitivity, throughput demands, and scalability.
Networking Capabilities
- Bandwidth: The amount of data that can be transferred in and out of cloud services. High bandwidth is crucial for data-heavy applications.
- Latency: The time taken for data to travel between the client and the cloud service, affecting real-time applications.
- Content Delivery Network (CDN): Cloud platforms often integrate CDN services to distribute content globally, reducing lags and improving user experience.
The networking infrastructure of a cloud platform affects application performance, especially for services that require rapid data transfer and low latency, such as streaming and online gaming.
Service Integrations and Ecosystems
- Platform Services: Services like databases, AI, and machine learning offerings. The range and quality of these integrated services can greatly influence developer productivity and application innovation.
- Marketplace: A robust marketplace with third-party software and services enhances the platform’s capabilities and flexibility.
The richness of a cloud platform’s ecosystem determines how well it supports application development and deployment. A wide array of integrated services and a comprehensive marketplace allow for more powerful, efficient, and innovative solutions.
Security and Compliance
- Certifications: Compliance with industry standards like ISO, GDPR, HIPAA, and others ensures data is protected and privacy regulations are met.
- Network Security: The ability to configure firewalls, VPNs, and other security measures is critical for protecting applications and data.
Cloud platforms must offer strong security features and compliance certifications to ensure customer trust, particularly for enterprises handling sensitive data.
Reliability and Availability
- Service Level Agreements (SLAs): Commitments on uptime and availability. Higher availability percentages are desirable for mission-critical applications.
- Redundancy and Disaster Recovery: Data replication and backup services across multiple geographic locations ensure business continuity.
The reliability of a cloud platform is essential for businesses that rely on constant uptime for their services. Strong SLAs and robust disaster recovery provisions are indicators of a trustworthy platform.
Pricing and Cost Management
- Pay-as-you-go Model: Cloud platforms typically charge based on resource usage, offering flexibility and potentially lower costs than traditional computing.
- Cost Management Tools: Providers offer tools to monitor and manage cloud spending, which is essential for controlling budgets and optimizing resource usage.
Understanding the pricing structure and having robust cost management tools is critical for businesses to get the most value from their cloud computing investments.
In the competitive landscape of cloud computing, these technical specifications are key differentiators between providers. You must carefully assess your specific needs against what each platform offers to ensure you choose the right environment that balances performance, cost, and scalability.
Cloud Platform Applications
Cloud computing platforms provide versatile infrastructure, platforms, and software that cater to a wide array of real-world applications across various industries. Here are several examples that highlight the use of cloud computing in different contexts:
Web Hosting and E-commerce
We use cloud platforms extensively to host websites and e-commerce platforms due to their scalability and reliability. Businesses can handle varying levels of traffic and transactions without having to invest in their own infrastructure. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) offer services that businesses widely use for hosting these online services.
Azure in particular stands out as one of the most versatile cloud platforms available today, extending well beyond simple web hosting into areas like AI services, DevOps pipelines, hybrid cloud infrastructure, and enterprise-grade security. Its broad ecosystem makes it a go-to choice for organizations of all sizes. Understanding Azure’s full range of cloud computing capabilities helps clarify why it consistently appears alongside AWS and Google Cloud as a foundation for both traditional workloads and the advanced data processing use cases we’ll cover next.
Data Analytics and Big Data Processing
Companies leverage cloud-based big data platforms like Google BigQuery or Amazon Redshift for processing and analyzing large datasets. These platforms can handle petabytes of data, allowing businesses to gain insights into customer behavior, operational efficiency, and market trends.
Disaster Recovery and Data Backup
Cloud computing provides solutions for data backup and disaster recovery by allowing data to be replicated across multiple geographically dispersed data centers. This ensures business continuity and data integrity in the event of outages or disasters. Microsoft Azure and AWS offer specific services designed for these critical tasks.
Development and Test Environments
You can use Cloud platforms for their development and testing environments. They can be spun up or down as needed. This allows developers to work on applications in conditions that mirror production environments without capital expenditure on hardware. PaaS offerings like Heroku or IBM Cloud are examples of such environments.
Streaming Media Services
Streaming platforms such as Netflix and Spotify use cloud computing to deliver content to millions of users worldwide. The cloud provides the necessary bandwidth and storage, as well as a distributed delivery network to ensure a smooth streaming experience.
Internet of Things (IoT)
Cloud computing is integral for IoT applications, providing the backend infrastructure necessary to collect, process, and analyze data from a myriad of devices. Platforms like AWS IoT Core or Azure IoT Hub offer specialized services. These facilitate the management and integration of IoT devices with applications and other cloud services.
Artificial Intelligence (AI) and Machine Learning (ML)
Companies and researchers use cloud platforms to build, train, and deploy AI and ML models. These platforms provide access to powerful computing resources, including specialized hardware like GPUs and TPUs, that are necessary for processing complex algorithms. Services like Google AI Platform and Azure Machine Learning service are tailored for these tasks.
Mobile and Desktop Application Deployment
Developers use cloud services to deploy mobile and desktop applications, taking advantage of the cloud’s global presence to ensure that applications are always available and responsive. Apple’s iCloud and Google Play are examples of cloud services that support the back-end of mobile applications.
Collaborative Workspaces
Cloud-based productivity tools such as Office 365 and Google Workspace enable collaboration and communication across organizations. They allow teams to share documents, spreadsheets, presentations, and work together in real-time, regardless of their physical location.
Software as a Service
Businesses of all sizes leverage cloud software applications for various functions, including customer relationship management (CRM) with Salesforce, human resources management with Workday, and project management with Asana. SaaS provides a subscription-based model that offloads the maintenance and upgrade responsibilities from the user to the service provider.
These real-world applications demonstrate the broad utility and transformative potential of cloud computing, enabling organizations to be more agile, data-driven, and cost-efficient in their operations.
What Are The Caveats Of Using Cloud Technology?
Your business likely uses cloud-based software like Google Drive or Dropbox. So, you may already be employing cloud resources, and these are just two examples.
Cloud-based solutions can indeed be beneficial and make the work lives of your employees a lot less complicated. However, could you put your entire faith in their ability to keep your sensitive data completely secure? Do you know what measures are being taken by the provider to ensure the safety of your data?
Although cloud technology is largely beneficial, it has some drawbacks. Here are what we believe to be some disadvantages of the technology.
High dependency on a stable internet connection
The majority of people running businesses tend to operate within highly populated areas. That means they enjoy a better internet connection. However, some don’t have this privilege. Cloud systems need a connection to access the service. If you’re a business in an area with a poorer network connection, you might struggle to use the technology.
A cloud user may experience downtime during network outages or storms. In such a case, you might be better off with an on-premise solution, that is locally installed on your desktop computer.
Generally, though, hosted providers assist you in developing a plan for business continuity and promise to deliver good uptime.
Lack of Control
When you move your business data to the cloud, you are trusting another party with the security and protection of your company’s data. You are putting faith in their ability to maintain your information and data with the same level of care that you would.
If you cannot trust that your cloud provider is secure, both virtually and physically, then why are you using their services? You must keep these considerations when choosing the company.
Some people find the lack of in-house control unnerving. If this is one of your concerns, then maybe opting for a partner with local contacts is best for you. It may be worth learning about the measures that your current hosted services provider takes to ensure safety on their cloud.
The Future of Cloud Computing Platforms
The landscape of cloud computing is continuously evolving, fueled by technological advancements and shifting business needs. Here are some insights into emerging trends in cloud computing platforms. Using these, we offer our predictions about future developments and their potential impact.
Serverless Computing
There’s an increasing move towards serverless architectures where developers can build and run applications without managing servers. The serverless market computing market grew to $9318.4 million (USD) in 2022. It’s estimated to grow at a CAGR of 20.8% from 2022 to 2030.
We think this growth will allow businesses to focus more on development and less on infrastructure. That would lead to cost efficiency and faster time-to-market for new features and applications.
Edge Computing Integration
Edge computing processes data closer to the source of data generation rather than relying solely on centralized cloud data centres. It’s being used in the IoT for faster processing times.
The global edge computing market size is predicted to be $317 billion (USD) in 2026. We think this technology will become increasingly integrated with computing platforms. It will help reduce latency, and enable real-time analytics for IoT devices and mobile applications.
AI and Machine Learning Platforms
The global AI market size was estimated to be $454.12 billion (USD) in 2022. By 2032, it will be $2575.26 billion (USD). We are seeing enhanced AI and ML services offered directly through the platforms, providing accessible tools for complex data analysis. These services will become more sophisticated. They will offer more advanced capabilities like automated machine learning (AutoML), and innovative use cases in virtually every sector will flourish.
Hybrid and Multi-Cloud Strategies
Businesses are adopting hybrid and multi-cloud approaches to distribute their workloads across multiple cloud environments. Cloud services will continue to evolve to support seamless integration between different platforms. They will help improve interoperability and give organizations more flexibility in their cloud strategies.
Quantum Computing in the Cloud
The quantum computing market is likely to be around $93 billion (USD) in 2040. Tech giants are beginning to offer quantum computing capabilities in the cloud. As quantum technology matures, cloud service providers will offer early access to quantum processing power, invoking a new era of computational abilities for research and development.
Sustainability and Green Computing
With increasing awareness of climate change, cloud providers are investing in sustainable, energy-efficient data centers. It’s looking like the green computing market will be worth $62 billion (USD) in 2030. Green computing initiatives will be at the forefront. Cloud providers will likely introduce more eco-friendly services and carbon footprint tracking tools for their clients.
Enhanced Security and Compliance
As cyber threats grow in sophistication, cloud systems are enhancing their security features. We should see more advanced security measures, such as AI-powered threat detection, blockchain for data integrity, and tighter compliance controls to protect user data and privacy. As a result, these platforms will become more secure.
Autonomous Cloud Services
Cloud services are increasingly becoming autonomous. They are beginning to use AI to self-manage and self-secure without human intervention. This will lead to the development of self-healing autonomous supercloud environments that can predict failures and mitigate them automatically.
Democratization of IT
Cloud services are making it easier for non-IT professionals to develop and deploy applications through low-code and no-code platforms. This trend will empower more business users to create solutions, driving innovation and aligning IT development with business needs more closely.
Increased Governmental Cloud Adoption
Public sector entities are turning to cloud solutions for modernising infrastructure and improving citizen services. Governments will increasingly adopt cloud services, leading to an acceleration in digital transformation initiatives and enhanced public-private partnerships.
These predictions reflect a future where computing platforms become more integrated into the fabric of business and society. That, in turn, will enable new capabilities, efficiencies, and innovation. As the cloud continues to mature, its role as a critical enabler of the digital age will only deepen. That means it would offer vast opportunities and challenges in equal measure.
How Cloud Computing Helps SMEs Grow Faster
Cloud computing offers essential solutions for SMEs. A fast-changing economy can greatly affect scalability, either positively or negatively, depending on how it is implemented.
Cloud computing, if implemented properly, can enable SMEs to grow exponentially at a cost that is far cheaper than traditional computing models for small businesses. It can make development and deployment cheaper and quicker. Plus, the workload of your team decreases as the maintenance of the computer architecture and infrastructure is no longer their responsibility.
With cloud computing, your business can take advantage of unlimited storage space while releasing space from your dedicated servers. Thus, you can run servers smoothly and efficiently without overloading them.
Monitoring, maintaining, and upgrading system networks are also responsibilities of cloud computing service providers. Systems administrators can detect potential problems and fix them before the network crashes by using advanced tools.
To improve productivity, SMEs should be flexible. The cloud gives you and your staff the ability to access files no matter where they are. For employees who work on the road or from home, this is more convenient.
You can also share files much more easily. As a result, your employees can collaborate more easily, even from remote locations. The online storage of files facilitates real-time collaboration among project teams.
