// Let’s make you logo
serverless / Blog / Engineering Culture / 4 Cloud Deployment Models *with Examples*

4 Cloud Deployment Models *with Examples*

published Jul 31, 2023

Clouds floating around inside the grid.

This article covers the 4 basic cloud deployment models. Each model has its own benefits, drawbacks, and unique value it can bring your business. By understanding them, you can choose the one that will help optimize your workload placement and capitalize on your ROI.

You can't do modern business without relying on cloud solutions. Improving process efficiency and accelerating your time-to-market with flexible, scalable computing resources delivered precisely when needed is essential. However, the real critical business advantage depends on how your business uses the cloud.

Depending on your business needs, your cloud infrastructure and the placement of each workload will differ. Whether it's about optimizing costs, complying with data regulations, or ensuring uninterrupted performance for your critical applications, the right cloud strategy can give you a competitive edge.

Let us guide you through the cloud computing deployment models, explore their types (public, private, hybrid, and multi-cloud), and look at each in detail.

Exploring Types of Deployment Models in the Cloud

Public Cloud Deployment

Alright, let's talk about public clouds! These bad boys have been leading the cloud computing revolution since 2006, and everyone knows about them. They offer tons of perks that make them the top pick for many companies. But they've got some drawbacks and security stuff to consider too. So, let's dive in and check out what's up with this cloud deployment model.

Benefits of Public Clouds

  • Availability: Public cloud deployment model offers increased availability without investing in the infrastructure. Service providers handle the hardware, software, and staffing to ensure high availability, making it a cost-effective option for companies seeking reliable services.
  • Scalability: Public cloud implementations excel in scalability, providing temporary bursts or permanent capacity as needed. This flexibility allows businesses to accommodate varying workloads without building their own infrastructure.
  • Accessibility: Public cloud providers prioritize accessibility, ensuring their services can be accessed from a wide range of devices without special software or VPNs. They got users covered on tablets, smartphones, and various browsers.
  • Cost Savings: With the public cloud, you pay for what you use, not a penny more. That's how public clouds keep your capital costs in check and help you save on support and maintenance.

Drawbacks of Public Clouds

  • Integration Limitations: Housing your data in the public SaaS clouds can be a head-scratcher. It's challenging for reporting and integrating with other systems, especially if the provider remains elusive about their APIs or web services.
  • Reduced Flexibility: You're on the provider's upgrade schedule, like it or not. Plus, training your team on new systems during upgrades can be a bummer.
  • Forced Downtime: Maintenance time is in their hands and might not always align with your plans. The suspense is real, wondering when they'll spring it on you. I mean, they probably won't do that when you least expect it, right? Or would they?

Security Considerations:

  • Data Security: Public cloud providers hold the keys to your data kingdom, raising concerns about access and ownership.
  • Compliance: Weather alert! The lack of visibility into the backend systems calls for compliance concerns. Expect heavy pouring when it comes to security audits.
  • Auditing: Limited auditing capabilities also leave you relying on the provider's logs and alerts.

There you have it, the public cloud hype and its fine print. Remember, every cloud has its silver lining; with some planning, public clouds can be a rock-solid choice for your business.

Here are some real-world public cloud deployment models examples:

  • E-Commerce and Retail: An online retail giant rocks public cloud services to handle its e-commerce platform, covering for high availability during the crazy sale season. It scales like a boss, dealing with sudden surges of deal-hunters without disruptions.
  • Software as a Service (SaaS): A customer relationship management (CRM) software company offers its application as a SaaS solution through a public cloud. Sales managers dig it because they can access their CRM on any device, even their iPhones, without any fancy installations.
  • Internet of Things (IoT) Applications: An IoT startup uses the public cloud to process and analyze data from thousands of connected devices. It grows with them as more devices come onboard. Smart move!
  • AI and Machine Learning: A healthcare organization partners with a public cloud provider for top-notch AI and machine learning algorithms to analyze medical images. The cloud's powerful computing and AI services boost diagnostic accuracy and ramp up research efforts.

These are just a few examples of how public cloud services are used across various industries.

Got more questions about the types of deployment models in cloud computing? Hit us up at hello@serverless.direct, and we got your back!

Private Cloud Deployment

Before delving into the specifics, let's debunk a common misconception - private clouds are indeed authentic cloud environments. While public clouds are widely known and discussed, private cloud service deployment models offer distinct advantages that cater to different needs. In essence, the cloud's core characteristics remain unchanged, regardless of where it's hosted.

Benefits of Private Clouds

Private clouds are the way to go when you want full control over your cloud environment. Here are some key benefits:

  • Support and Troubleshooting: With direct access to all everything, troubleshooting in private clouds becomes a breeze, leading to faster turnaround times and more happy customers.
  • Maintenance Flexibility: You are in control when it comes to upgrades. Upgrade when and how you want. No more system outages. It’s all about tailored user experiences.
  • Monitoring Empowerment: Having direct access to systems means you can monitor everything from A to Z. Stay ahead of the game and take proactive measures to avoid outages.

Drawbacks to Consider

While the advantages of private clouds are enticing, certain drawbacks should be weighed against them:

  • Upfront Costs: Private deployment models for cloud computing require a substantial investment upfront. You got to invest in infrastructure to cover current and future needs.
  • Compatibility Challenges: Ensuring software and hardware play nicely across the cloud environment may take time and effort. You might need some specialized solutions and hardware to ensure compatibility.
  • Expertise Requirement: Building a private cloud is a challenging feat. You need experts in various domains like hardware, networking, security, and virtualization. It's good that you have Serverless Team only a call away.

Defining Responsibilities

In private cloud environments, you are in charge. Your organization owns all end-to-end solutions. You're responsible for the systems, the apps, and taking care of your clients.

Security Considerations

Security in private cloud-computing deployment models is relatively more manageable as you have complete control over systems, applications, and data. Keeping this in mind, your security considerations would look like this:

  • Compliance: Play by the rules of the compliance regulations. Either make sure you meet them or outsource specific processes to the pros who can deal with it.
  • Data Ownership: With private clouds, you own and control your data. And you decide who accesses it and how it's secured.
  • Auditing: Keep an eye on everything with real-time monitoring. Stay on top of things and take immediate action to keep your data safe.

Here are some use cases and examples of private cloud usage:

  • Sensitive Data Storage and Compliance: Financial institutions or healthcare providers are all about private clouds. With strict control and data security compliance, they keep their critical info locked down. Private clouds in their data centers let them add extra layers of protection with custom security measures, access controls, and encryption. It's like a digital fortress for their precious data while meeting industry standards.
  • Research and Development Environments: Enterprises engaged in research and development activities often need a private playground. That's where private clouds come in. They get their exclusive spot to test new apps and innovations without pesky interference from others. Top-secret stuff, like intellectual property and confidential projects, gets the ultimate protection in private clouds. No security breaches allowed!
  • Legacy Application Migration: Old-school apps still have a place in this cloud revolution. Organizations can upgrade their infrastructure at their own pace while enjoying cloud benefits. It's like a modern makeover without ditching the old stuff entirely.
  • Resource-Intensive Workloads: When you need serious computing power, private clouds deliver. Think simulations, data analytics, and scientific research. It's like a performance boost just for you. Customize your resources and get the job done without worrying about sharing.
  • Data Backup and Disaster Recovery: Let's face it – disasters happen. But with private clouds, you've got a safety net. Secure and customizable backup and recovery solutions keep your data safe. Spread critical info across private cloud spots to dodge downtime during tough times.

So there you have it – private clouds can do it all! They cover a wide range of uses with top-notch data security, control, and customization. Private clouds are the way to go for businesses with specific needs and a hunger for data privacy and compliance.

Hybrid Cloud Deployment

In a hybrid cloud environment, public and private clouds work harmoniously. Picture it as a cloud ecosystem where seamless integration and data flow make things dynamic and exciting.

Benefits of Hybrid Clouds

  • Flexibility: You can move your apps and workloads around. No need to go full-on public cloud. Take your time.
  • Fault Tolerance: Critical apps live in both, private and public clouds, so if one goes down, you're not left hanging.
  • Security Assurance: Keep your sensitive data tucked away in private clouds until it meets stringent security standards for public cloud migration.

Drawbacks of Hybrid Clouds

  • Complexity: Bringing different cloud models together means different rules, procedures, and strategies, making it more complicated to manage.
  • Integration Challenges: Moving data between clouds can get messy. Sometimes, you need help with duplicates or bumping into bandwidth and security concerns.

Security Considerations

  • Securing Data in Motion: Encryption, secure channels, and tight access controls are necessary to keep your data safe while moving between clouds.
  • Auditing Challenges: Keep tabs on everything! You need efficient event log tracking to match all those internal and external events for top-notch compliance and security.

Embracing Hybrid Clouds: A Balancing Act

  • Careful Planning: Think it through before jumping into hybrid clouds. Weigh the benefits, the complexity, and the security stuff. Make sure it's the right move for you.
  • Robust Security Measures: Lock it down! Encryption, secure channels, and strict access controls are your superhero tools to safeguard data in motion.
  • Efficient Data Movement: Plan wisely and optimize data transfers between clouds, considering bandwidth limitations.
  • Integration Strategy: Create smart integration strategies and use compatible technologies to keep the hybrid cloud party running smoothly.

Here are some use cases and examples of hybrid cloud usage:

  • Bursting Workloads for Seasonal Demands: So, picture this – retailers go through crazy ups and downs during holiday seasons. They take the hybrid cloud route to handle all that chaos without breaking the bank. When things get wild and need extra power, they burst their workloads into a public cloud. It's like calling for backup, but you only pay for what you use. Once the season's over, they smoothly slide back to their private cloud – smart cost optimization, right?
  • Data Backup and Disaster Recovery: Keeping your data safe is a top priority. Hybrid clouds have got your back here. They play it smart by making copies of your critical data in private and public clouds. So, if the worst happens – like a disaster or data loss – you can quickly recover your stuff from either cloud. No downtime, no headaches – just smooth sailing!
  • Confidential Data Management: Some data is top-secret, like healthcare records or financial info. To handle it with extra care, all the sensitive stuff goes into your private cloud – locked up tight, just how you like it. Meanwhile, the non-sensitive things enjoy the party in the public cloud, loving its cost-effectiveness and flexibility.
  • Test and Development Environments: Building cool software takes serious work, and developers need their text space. Hybrid clouds make it happen! They set up these test and development zones in the public cloud – no need for extra gear. Once the apps are all shiny and tested, they move them effortlessly to the private cloud or on-premises production – easy peasy!
  • IoT Data Processing and Analytics: Internet of Things devices are chatty little things that create tons of data. Hybrid clouds process and analyze the data right there in the public cloud, close to the devices. But super-sensitive stuff gets encrypted and sent securely to the private cloud for extra processing and storage.

Hybrid clouds are everything you wish for regarding flexibility, fault tolerance, and security. They give organizations the power to optimize their cloud game like never before. Just remember, they need some good planning, tough security measures, and slick data movement to make it all work.

Multi-Cloud Deployment

Multi-cloud deployment is like creating a dream team by combining the best of different platforms to meet your specific needs. Let's delve into the good stuff, the not-so-good parts, and the challenges.

Characteristics of Multi-Cloud Deployment:

  • Diverse Cloud Providers: You get to choose and mix multiple cloud service providers like AWS, Azure, GCP, and more.
  • Vendor Independence: Going multi-cloud means you’re not attached to one vendor. Flexibility and negotiation powers are all yours..
  • Optimized Workloads: With multi-cloud, you can put your workloads where they shine the brightest, optimizing performance and costs.
  • Enhanced Resilience: By spreading workloads across multiple clouds, you are prepared for anything, lowering the risk of service disruptions.

Benefits of Multi-Cloud Deployment:

  • Avoiding Vendor Lock-In: One of the primary benefits of multi-cloud deployment is the freedom from vendor lock-in. Dodge the risk of depending on a single vendor and get better deals by playing the field.
  • Best-of-Breed Services: Different cloud providers excel in different areas, and by sticking to a multi-cloud strategy, you get to cherry-pick the best-of-breed services from each provider, tailored to your needs.
  • Improved Performance and Latency: Put your workloads closer to your users by strategically placing them in cloud regions, reducing delays and boosting performance.
  • Mitigating Downtime Risks: If one cloud goes down, you can quickly shift your critical workloads to another, keeping your business running smoothly.

Drawbacks of Multi-Cloud Deployment:

  • Complexity in Management: Juggling multiple clouds requires skilled IT personnel and powerful tools to keep everything under control.
  • Cost Management Challenges: It's like managing multiple bank accounts! Tracking and managing costs across different providers can be a bit of a puzzle.
  • Integration Complexity: Integrating different cloud services demands careful planning to ensure everything plays nicely together.
  • Security and Compliance Risks: Dealing with various providers means facing different security practices. Staying safe and compliant takes some effort.

Here are some use cases and examples that show how multi-cloud deployment performs in the real world:

  • Risk Mitigation and Business Continuity: Worried about getting stuck with one cloud provider? With multi-cloud, you can spread your critical workloads across different clouds. So, if one provider goes down, your business keeps on going without a hitch.
  • Geographical Expansion and Compliance: Each country might have its own rules about data residency and compliance. But with multi-cloud, you can choose providers with data centers in specific regions, keeping things legit while still following your operational plan.
  • Cost Optimization and Performance Enhancement: With multi-cloud, you can pick the most cost-effective provider for non-critical stuff and the one with the most muscle for your demanding applications.
  • App Development and Testing: Multi-cloud lets you choose the best platform for your needs. You can use different providers' tools and services for faster app development, testing, and deployment.
  • Hybrid Architecture and Edge Computing: You're the master of your cloud universe! With multi-cloud, you can have public cloud power for big tasks, private clouds for sensitive stuff, and edge computing for super speedy applications. It's a cloud mix and match for a well-rounded setup.

Multi-cloud deployment lets you craft a cloud world that suits you to a T. You're free to mix and match providers, get diverse services, and stay strong even in rough times. But, of course, managing multiple clouds can be a challenge, with complexity, costs, and security to think about.


Kyrylo Kozak

CEO, Co-founder
Get your project estimation!

The Comparison of Top Cloud Deployment Models

To help you make an informed choice a bit easier, our experts have compiled this neat comparison of the most business-critical aspects of the four cloud deployment models.

Deployment Model Ease of Setup Data Security and Privacy Data Control Reliability Scalability Cost Efficiency Dependence on In-House Hardware
Public Cloud Easy Managed by Provider Limited High High High Minimal
Private Cloud Moderate Controlled by Organization High High High Moderate Moderate
Hybrid Cloud Moderate Controlled by Organization High High High Moderate Moderate
Multi-Cloud Moderate Managed by Organization High High High Moderate Minimal

Factors to consider when selecting a deployment model in the cloud

Alright, let's break down the key factors to consider when you choose the cloud deployment model for your organization:

  • Security and Compliance: You know it's crucial to keep your data safe and comply with regulations. Public clouds got robust security, but if you're in a sensitive industry, private or hybrid clouds might have the extra controls you need. So, assess your security needs and legal obligations to find the right fit.
  • Scalability and Flexibility: Business can be unpredictable, right? Public clouds are awesome for handling sudden surges with their rapid scalability. But for steady workloads, private clouds rock. If you want both worlds, go hybrid for the ultimate flexibility.
  • Cost Considerations: Money matters! Pay-as-you-go on public clouds works great for startups and those with changing resource needs. But for the long haul, private clouds might be more cost-effective, letting you control resource use and pricing. Do the math and pick what's budget-friendly in the long run.
  • Integration and Interoperability: You've got existing systems and apps that need to play nicely with your cloud choice. Check if your legacy apps can migrate smoothly or if you need a hybrid approach. Compatibility is key for seamless data flow and app functionality.
  • Organizational Objectives: Your cloud model should match your organization's goals. If you want to soar to the sky with innovation and growth, public clouds are your wingman. But if you're all about control and customization, private clouds might be more your style.

By carefully weighing these factors, you'll find the cloud model that's just right for you. Whether it's high performance, top-notch security, or the perfect fit for your specific needs, the cloud is yours for the taking. Need advice? Our experts at Serverless Team are ready to help you out.

Summing Up

Choosing the right cloud deployment model is a big deal for businesses. We covered the different models - public, private, hybrid, and multi-cloud, and explored what to consider when making this crucial choice.

Security and compliance are top priorities in the cloud, so be sure to evaluate data sensitivity and regulations. Scalability and flexibility matter, too; different models handle workloads and resources differently, so pick the one that fits your needs.

Cost is a big factor - think about the pay-as-you-go ease of public clouds versus the steady costs of private clouds. Integration with existing systems is key for smooth sailing during the transition.

And don't forget your business goals - innovation, global reach, or data control - your chosen model should support your long-term plans.

In this fast-paced tech world, the right cloud model can boost your success. So, assess security, scalability, cost, integration, and goals, and make a smart choice for your business to thrive.

As the cloud keeps evolving, those who embrace it and pick the right model will ride the wave of transformative future of cloud computing.

Stay ahead of the game, meet the digital world's demands, and let the cloud take you to new heights. Happy clouding!


Can I combine different deployment models for my cloud strategy?

You can combine various cloud deployment models to create a hybrid or multi-cloud strategy, leveraging their unique benefits and optimizing workload distribution.

How can I ensure a smooth migration to a cloud deployment model?

To ensure a smooth migration to a cloud deployment model, you need thorough planning, application dependencies assessment, data transfer, and security audit, and experienced cloud migration experts.

What is the difference between cloud service and cloud deployment models?

Cloud service refers to the specific services offered by cloud providers, while cloud deployment models are different approaches (public, private, hybrid, or multi-cloud) for deploying and managing those services.

Rate this article


Subscribe to our newsletter

Subscribe to our newsletter to receive the latest updates on cloud trends, best practices, and case studies, all delivered straight to your inbox.

to receive the latest updates on cloud trends, best practices, and case studies, all delivered straight to your inbox.

// contact

Give us a scoop

Once we get your text, we will email you the next steps. Or you can schedule a call with our CEO for an introductory consultation.

Kyrylo Kozak
Kyrylo Kozak
founder, CEO