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In 2023, Walmart which is a global e-commerce giant saw its traffic has increased by 300% during a big ongoing sale. But instead of its website going down, its systems grew in real-time. This was possible because of a strong cloud-based setup. In today’s online-focused world, cloud tech isn’t just a choice. It’s essential for handling modern workloads.
The use of enterprise cloud solutions is growing fast. Gartner reports that worldwide public cloud spending jumped 20.4% to $675 billion in 2024. They expect this figure to hit $723 billion in 2025 driven by AI that creates content and the needs of new apps. By 2027, a whopping 90% of businesses will have a combination of in-house and public cloud setups.
This quick change shows how important the cloud has become for running today’s workloads such as AI/ML big data analysis, IoT, and container tech. It also helps businesses adapt and grow easier.
Clouds aren’t all the same. Businesses pick different cloud deployment models based on what they need to regulate. The tech they can handle and their main goals. Every model offers unique advantages and compromises, so knowing them matters a lot to match your tasks with the best setup.
A public cloud uses a system where third-party companies such as AWS, Azure, or GCP, provide services like computing power, storage, and networking through the internet. This setup allows businesses to scale, pay for what they use, and access services all over the world. Startups and large organisations find it useful because it works well in situations needing flexibility fast performance, and low effort to manage infrastructure.
A private cloud serves as a cloud setup meant for one organisation. It can be managed on-site or through a service provider. This setup allows organisations to have more control, tailor their systems, and maintain security. These features make it a popular option in Industries like banking and healthcare that require strict regulation. While it cannot scale as a public cloud, it ensures steady performance and complete oversight.
A hybrid cloud solution service mixes private and public cloud setups. It lets businesses shift apps and data back and forth between the two. This approach helps organisations manage sensitive tasks on-site and take advantage of the public cloud’s ability to grow when needed. It also helps to ease transitions by safeguard data sovereignty and making sure operations stay uninterrupted.
Multi-cloud means the organisation is making using more than one public cloud provider like AWS and Azure together. Businesses use this strategy to escape relying on a single vendor. It allows them to pick the best tools available and maintain good availability in different locations. Big companies often adopt this method to manage cost lower risk and keep performance steady.
Enterprise cloud computing is more than an infra upgrade. Moving to a scalable cloud environment opens new possibilities for processes and service delivery. Hence, it becomes a strategic enabler, allowing businesses to pivot their offerings at an organizational level.
Auto-scaling features enable systems to manage load changes balancing performance, risk, and cost
Turns hardware costs into operating expenses. Companies pay based on usage
Building infrastructure shortens the time to enter into a new market
Services like SageMaker, Vertex AI, and Azure Cognitive Services are already existing in the platform which are the core integrated AI/ML tools
Broad geographic coverage and well-known credentials boost worldwide business activities
Using distributed regions and zones helps to increase redundancy and ensure better uptime
| Evaluation Area | AWS | Azure | GCP |
| Strategic Focus | Innovation in Cloud-native and global scalability | Enterprise modernization, hybrid IT, and It is easily integrable with all other Microsoft app’s | AI/ML acceleration and data-first cloud adoption |
| Ease of Integration | It does require custom integrations or third-party tools | Seamless with Microsoft stack (SharePoint, Teams, Power BI) | Smooth with APIs and open-source tools, but less enterprise-native |
| Hybrid & Multi-cloud Readiness | Good: AWS Outposts and ECS Anywhere | Excellent: Azure Arc, Azure Stack and Microsoft Fabric | Strong for multi-cloud and hybrid cloud is catching up |
| AI & Data Analytics | Mature: SageMaker, Kendra, Lookout | Solid: Azure ML, Synapse Analytics, Cognitive Services | Market-leading: Vertex AI, BigQuery, DeepMind integrations |
| Security & Compliance | Strong across geographies; FedRAMP, HIPAA, ISO | They are deeply compliance focused that too particularly in BFSI and government sectors | End-to-end encryption, zero-trust by default, fewer certs than Azure |
| Developer Experience | Feature-rich but complex; requires experience | .Net /C# developer are friendly with this cloud platform | Cleanest interface; preferred by modern devs and data scientists |
| Pricing Model | Flexible but complex (Savings Plans, RI, Spot) | Competitive; especially good for enterprise agreements | Transparent, simple (per-second billing, sustained-use discounts) |
| Partner Ecosystem | It has a very broadest 3rd party marketplace and consulting base | It is an extensive work, especially for large SI’s | Leaner but focused; strong with open-source and startups |
Picking the right enterprise cloud computing platform goes beyond just choosing which cloud platform to use for your requirement. It has an impact on aligning your workloads, business goals, and technical skills with what each provider does best. Companies need to assess providers on several aspects that influence long-term value and how well they fit.
As enterprises scale their cloud footprint, managing complex environments internally becomes increasingly resource intensive. From rising operational overhead to the risk of reconfiguration and spiralling costs, many organisations are turning to Managed Cloud Services to simplify operations while staying focused on innovation.
Handling cloud setups in-house can soon turn into a handful as your system grows. Regular jobs like updates, backups, and keeping an eye on things eat up time and need special know-how. Managed services take these tasks off your plate giving your team room to tackle more important work.
Outages can have an impact on business continuity, customer trust, and revenue. Managed services give 24/7 monitoring and quick solution for problems. This boosts system dependability and makes sure SLAs are always met.
Without clear insight, cloud expenses can get out of hand due to extra resources or unused ones. Managed services include expense tracking right-sizing, and usage warnings. This ensures budgets stay on track and return on investment reaches its peak.
Overseeing resources across AWS, Azure, and GCP or between cloud and on-site locations poses difficulties. Managed providers offer unified control, the ability to move workloads, and combined tools. This makes hybrid cloud computing providers and multi-cloud plans much more viable in the long run.
Picking the right enterprise cloud computing platform goes beyond just choosing which cloud platform to use for your requirement. It has an impact on aligning your workloads, business goals, and technical skills with what each provider does best. Companies need to assess providers on several aspects that influence long-term value and how well they fit.
Here are some of the managed cloud service offerings provided by HSC:
In our digital world today the businesses view cloud as an essential tool, not just a strategic choice. Companies use cloud platforms to increase flexibility, expand their operations, apply AI for fresh ideas, or cut costs. These platforms now serve as the foundation to change how businesses work.
Big public cloud providers like Azure, AWS, and GCP offer strong features. Yet, the best pick depends on your workload needs current tech, compliance rules, and growth plans. Choosing a platform is the beginning; how you use it matters most. This is where managed cloud services step in to help out.
