How to Build a Cloud-Based SaaS Application from Idea to Launch?

87% of SaaS startups fail to scale their cloud-based applications effectively due to poor planning and infrastructure choices. 

Even more challenging, many businesses overlook the critical importance of early-stage decisions for long-term growth. They focus solely on product development, losing sight of the need to establish the right tech stack, compliance, and scalability from day one.

And here’s the kicker: By the time these failures are realized, they’ve wasted thousands in unoptimized costs and delayed launches.

But imagine this:

What if you could skip the uncertainty and have your cloud-based SaaS application development with a clear, structured approach from the ground up?

Here’s the blueprint:

In this guide, we’ll break down the entire SaaS development lifecycle—from idea to launch—highlighting the tools, key steps, and best practices successful SaaS companies use to avoid pitfalls and thrive in a competitive market.

Let’s get started.

What Are the Key Steps in Developing a Cloud-Based SaaS Application?

The key steps in developing a cloud-based SaaS application are:

• Step 1: Idea Validation and Market Research
• Step 2: Defining Core Features & Functionality
• Step 3: Choosing the Right Technology Stack
• Step 4: Designing a Scalable Architecture
• Step 5: Cloud Infrastructure & Hosting
• Step 6: Development & Iteration
• Step 7: Testing and Quality Assurance
• Step 8: Launch Strategy

Let’s discuss the key steps in detail.

Step 1: Idea Validation and Market Research

Before diving into developing a SaaS application, validate your idea to ensure there’s real demand in the market.

• Conducting Customer Research:

Understanding your target audience is crucial. Surveys, interviews, and focus groups help you get insights into your customers’ pain points and expectations. Use this data to shape your product idea.

• Identifying Pain Points:

Pinpoint the problems your SaaS will solve. Identify pain points that your target customers face and determine how your solution will offer value over existing options.

• Validating with Real Users:

Test your ideas with early adopters before building a product. Consider launching a landing page or a beta version to gauge interest.

• Example: Dropbox started as a simple MVP, gathering feedback and validating the need for cloud file storage before scaling.

Step 2: Defining Core Features & Functionality

Once your idea is validated, define the core features your SaaS application must have.

• Determining the Minimum Viable Product (MVP):
• Focus on the core features that directly solve your customers’ problems. Skip unnecessary features and focus on what will generate immediate value.
• Prioritizing Features:

• After identifying core features, prioritize them based on user needs. Implement features incrementally, starting with the most impactful ones.
• Features to Consider:

• User authentication
• Data storage and management
• Basic user interface (UI)

Step 3: Choosing the Right Technology Stack

Choosing the right tech stack is crucial for a successful SaaS product. Here’s what you need to consider:

• Frontend Technologies:
  • React or Vue.js for front-end development that provides dynamic, fast web interfaces.
  • HTML5, CSS3, and JavaScript for responsive design.
• Backend Technologies:
  • Node.js or Ruby on Rails are ideal for SaaS backend development due to their scalability and real-time capabilities.
  • Python is a good choice for data-driven applications.
• Database:
  • PostgreSQL or MongoDB for flexible and scalable databases.
  • Choose based on your app’s need for structured or unstructured data.
• Cloud Hosting Platforms:
  • AWS, Google Cloud, or Microsoft Azure offer reliable cloud computing services.
  • Consider cost-efficiency, scalability, and support when selecting a provider.
• Example: HubSpot uses AWS for scalable cloud hosting and Python for backend development.

Step 4: Designing a Scalable Architecture

As your SaaS grows, it must handle increased traffic and data. Plan for scalability right from the start.

• Best Practices for Scalable Architecture:
  • Microservices: Decouple your app into independent services to scale components separately.
  • Containerization: Use Docker for packaging and deploying services in isolated environments.
• Multi-Tenancy:

Build your app to serve multiple customers (tenants) with a single instance, reducing operational overhead.

• Load Balancing:

Distribute traffic evenly across servers using load balancers to ensure a fast, responsive user experience even under heavy traffic.

Step 5: Cloud Infrastructure & Hosting

Choosing the right cloud infrastructure is crucial to ensure your SaaS can handle growth effectively.

• Choosing the Right Cloud Provider:
  • AWS: Best for large-scale apps, with powerful tools for scaling.
  • Google Cloud: Excellent for AI and big data processing.
  • Microsoft Azure: Preferred for hybrid cloud solutions and enterprise-level SaaS.
• Cost Implications:

Cloud providers offer various pricing models (pay-as-you-go, reserved). Analyze your needs and select a model that aligns with your budget and growth strategy.

• Real-World Example: A Netflix-like website utilizes AWS for its live streaming app development, ensuring it can scale globally to meet the demands of millions of users.

Step 6: Development & Iteration

At this stage, your SaaS development process must be efficient and iterative.

• Agile Development Practices:

Use agile development methodology for flexibility and speed. It allows you to break down the project into smaller tasks, making it easier to manage and pivot when needed.

• Continuous Integration & Delivery (CI/CD):

Automate testing and deployment using tools like Jenkins or GitLab CI to streamline development and release cycles.

Step 7: Testing and Quality Assurance

Your SaaS app must undergo thorough testing to ensure quality and optimal performance.

Types of Tests:

• Unit Testing: Test individual components.
• Integration Testing: Test how different components of the app interact with each other.
• Performance Testing: Ensure the app performs well under load.

SaaS-Specific QA Strategies:

• Automate most testing with tools like Selenium.
• Implement load testing to simulate real-world traffic and ensure scalability.

Step 8: Launch Strategy

A successful launch is key to getting your SaaS product into the hands of users.

• Preparing for a Successful Launch:
  • Create a go-to-market strategy to drive awareness. Utilize tactics such as email marketing, content marketing, and influencer partnerships to effectively spread the word.
• Launch Strategies:

• Early Access: Offer early access to a select group of users in exchange for feedback.
• Beta Testing: Release a beta version to a wider audience and use their feedback for final adjustments.
• Influencer Marketing: Partner with influencers to gain initial traction.

Industry-Specific SaaS Examples of Cloud-based SaaS Application Development 

Below are some powerful cloud-based SaaS applications that serve as industry-specific examples of SaaS, showcasing their success stories and how they’ve addressed specific market needs.

1. FinTech: Stripe (Payments Processing)

Stripe is a prime example of a cloud-based SaaS application in the FinTech space. Stripe offers businesses a straightforward way to accept online payments. It helps startups, SMBs, and even large enterprises manage financial transactions effortlessly through its API-first approach.

• Industry Focus: Payments processing, invoicing, and financial infrastructure.
• Key Features:

• Payment gateway integration for websites and mobile apps.
• Subscription billing models for recurring payments.
• Support for global currencies and cross-border transactions.

• Why it works: Stripe is designed to handle the scalability challenges in the payments industry, especially for businesses that are growing rapidly. The company’s success is built on security, compliance with international regulations, and ease of integration, making it an ideal example for FinTech SaaS applications.

2. HealthTech: Practice Fusion (Electronic Health Records)

Practice Fusion is a leading cloud-based SaaS application for HealthTech. This platform allows healthcare providers to manage patient data, prescriptions, and medical records digitally.

• Industry Focus: Electronic Health Records (EHR) and patient management.
• Key Features:

• HIPAA-compliant secure data management.
• Patient scheduling, billing, and prescription tracking.
• Real-time clinical decision support tools.

• Why it works: The healthcare industry requires strict compliance with data protection laws, making cloud infrastructure ideal for scalable data storage and security. Practice Fusion revolutionized how healthcare professionals manage patient records, enhancing both operational efficiency and patient care.

3. EdTech: Coursera (Online Learning)

Coursera is a leading EdTech SaaS platform that enables individuals to learn from top universities and companies worldwide. It provides both free and paid courses, with certificates upon completion.

• Industry Focus: Online learning and course certification.
• Key Features:

• Interactive video lectures and quizzes.
• Certification programs from universities like Stanford and Yale.
• Personalized learning paths and assessments.

• Why it works: Coursera leverages cloud-based infrastructure to serve millions of learners worldwide, making education scalable and accessible. The platform supports customization of learning experiences based on user preferences while handling the massive volume of content and users globally.

4. E-Commerce: Shopify (E-Commerce Platform)

Shopify has become one of the most popular cloud-based SaaS applications for building and managing e-commerce stores. It empowers businesses of all sizes to launch, manage, and scale online stores.

• Industry Focus: E-commerce solutions for merchants.
• Key Features:

• Customizable storefronts and mobile-optimized designs.
• Inventory management and real-time shipping calculations.
• Multiple payment gateway integrations and support for multiple currencies.

• Why it works: Shopify’s cloud-based infrastructure ensures that its e-commerce platform can scale as businesses grow. It provides robust features for a diverse range of e-commerce needs, from small businesses to large enterprises. By offering seamless integration with payment systems and marketing tools, Shopify distinguishes itself as a vital SaaS solution for the e-commerce industry.

5. Marketing Tech: HubSpot (CRM and Marketing Automation)

HubSpot is a SaaS platform designed to help businesses with customer relationship management (CRM), marketing automation, and sales enablement. It is one of the top cloud-based SaaS development companies in the marketing technology (MarTech) space.

• Industry Focus: Marketing automation and CRM.
• Key Features:

• Lead generation and marketing automation tools.
• Email marketing and social media management.
• Sales pipeline management and customer insights.

• Why it works: HubSpot integrates all the tools needed for inbound marketing, making it easy to engage, nurture, and convert leads. The platform’s use of cloud-based tools enables real-time data tracking and optimization, which allows businesses to better manage their marketing campaigns and sales pipelines.

What Are the Challenges in Scaling a Cloud-Based SaaS Application?

The challenges in scaling a cloud-based SaaS application are:

• Scaling infrastructure & technology
• User growth and data management
• Legal, compliance, and security considerations

When you launch a cloud-based SaaS application, you’re not just thinking about getting to market—you’re also setting the stage for growth. Scaling your SaaS product as your user base and data expand is one of the biggest challenges you’ll face. Let’s dive into how you can overcome these obstacles and ensure your SaaS application remains robust and efficient.

1. Scaling Infrastructure & Technology

When scaling a SaaS product, one of the first things to consider is infrastructure. As your user base grows, maintaining performance and uptime becomes a critical priority. Here’s what to look out for:

• Challenges in Maintaining Performance and Uptime at Scale:

As your SaaS app scales, server load increases, which can affect performance. Imagine your users growing tenfold overnight; if your infrastructure can’t keep up, it could result in slow response times, downtime, or worse—complete service outages.

Solution: Invest in auto-scaling solutions, such as AWS Auto Scaling or Google Cloud Autoscaler, which can help scale resources up or down in real-time based on demand.

• Multi-Region Support and Load Balancing:

As your app becomes more widely used, you’ll have users from various geographic locations. Ensuring fast performance globally requires deploying across multiple regions.

Solution: Implement load balancing and content delivery networks (CDNs). For example, AWS Elastic Load Balancer can automatically distribute traffic across multiple regions, optimizing performance and minimizing downtime.

2. User Growth and Data Management

Handling growth goes beyond just increasing servers. Ensure that your application can efficiently handle large volumes of user data and transactions.

• Handling Large Volumes of User Data and Transactions:

When you start accumulating massive datasets, such as user profiles, transaction records, or activity logs, you need a data architecture that can handle it all without compromising performance.

Solution: Adopt database sharding, partitioning, and replication to distribute data across servers. NoSQL databases, such as MongoDB or Cassandra, can scale horizontally to handle large datasets.

• Managing User Identities, Access Controls, and Data Privacy:

As you grow, you’ll need to manage millions of user identities and access controls, ensuring compliance with privacy regulations such as GDPR and HIPAA.

Solution: Use Identity and Access Management (IAM) systems such as Okta or AWS IAM to control who can access your app’s data. Role-based access control (RBAC) ensures only authorized users get access to sensitive data.

3. Legal, Compliance, and Security Considerations

As you scale your cloud-based SaaS application, security and compliance are not just nice-to-haves—they’re critical. Your app must meet stringent standards, especially if you’re handling sensitive data in regulated industries, such as finance or healthcare.

SaaS Data Security Best Practices:

• Encryption: All sensitive data should be encrypted both at rest and in transit. Use protocols like SSL/TLS for secure data transmission and AES-256 for encryption at rest.
• Regular Security Audits and Penetration Testing: Run penetration tests to identify potential security vulnerabilities. Tools like OWASP ZAP or Burp Suite can help identify vulnerabilities in your application.

Compliance with GDPR, HIPAA, and SOC 2 Standards:

Whether you’re handling EU customer data or healthcare data, ensuring your SaaS application complies with industry-specific regulations is non-negotiable.

• Solution: Familiarize yourself with compliance requirements like GDPR, SOC 2, and HIPAA, and implement processes to meet these standards. For instance, integrating a Data Processing Agreement (DPA) for GDPR compliance and regular audits for SOC 2 can help you stay on track.

How to Overcome SaaS Development Challenges

To overcome these challenges, follow these strategies:

1. Embrace Cloud-Native Technologies
2. Automate with DevOps Practices
3. Invest in Scalable Database Solutions
4. Data Analytics & Monitoring
5. Leverage APIs and Microservices

While these challenges can seem daunting, the right tools and strategies can make the scaling process smoother. Here are the steps to ensure successful scaling:

1. Embrace Cloud-Native Technologies:

Building your SaaS application on cloud-native architecture allows you to take full advantage of the elasticity of cloud platforms like AWS, Google Cloud, or Azure. These platforms offer services like serverless computing, container orchestration (Kubernetes), and managed databases to streamline scaling.

2. Automate with DevOps Practices:

Automating deployment pipelines using CI/CD tools like Jenkins or GitLab CI ensures that your app remains flexible and scalable without manual intervention. Integrating DevOps solutions in your workflow helps reduce time-to-market and accelerates scaling efforts.

3. Invest in Scalable Database Solutions:

Choose cloud databases that scale efficiently as your app grows. Amazon RDS, Google Cloud SQL, or Azure SQL offer managed relational databases, while MongoDB Atlas is a good option for NoSQL databases. These platforms allow auto-scaling to handle traffic spikes seamlessly.

4. Data Analytics & Monitoring:

Utilize tools like Google Analytics and New Relic to monitor your SaaS app’s performance under load and pinpoint any bottlenecks. Regular monitoring can help pinpoint issues before they become major problems.

5. Leverage APIs and Microservices:

Breaking your application into microservices can allow each part of your app to scale independently. Using APIs to connect these microservices ensures that your app’s components remain modular and can scale as needed.

What Is the Cost for Cloud-Based SaaS Application Development?

The costs for cloud-based SaaS application development are:

How to Ensure Your SaaS Application Post-Launch Success?

To ensure the success of your SaaS application post-launch, follow these points:

1. Continuous Monitoring and Performance Optimization
2. Feedback Loops and A/B Testing
3. SaaS-Specific Maintenance

Let’s explore each of these key post-launch strategies in greater detail.

1. Continuous Monitoring and Performance Optimization

By actively monitoring your application’s performance, SaaS leaders can ensure potential issues are detected and resolved before end users are impacted.

• Set up real-time dashboards: Track uptime, response time, server load, and API performance.
• Identify common bottlenecks: Slow load times, failed transactions, or errors in workflow automation.
• Implement alerts: Notify your team immediately when metrics drop below thresholds.
• Optimize for scalability: Use auto-scaling on cloud platforms like AWS, Azure, or Google Cloud to handle peak loads.
• Performance audit cadence: Weekly checks for infrastructure, code efficiency, and third-party integrations.

2. Feedback Loops and A/B Testing

User feedback is gold. SaaS success depends on listening, iterating, and evolving.

• Collect actionable feedback: Utilize in-app surveys, NPS scoring, or direct emails to gain a deeper understanding of user pain points.
• Segment users: Analyze feedback by role, usage frequency, or geography to identify patterns.
• Prioritize improvements: Focus on changes that improve retention, reduce churn, or increase engagement.
• Run A/B tests: A/B testing helps test feature variations, UI/UX adjustments, and messaging to determine what works best.
• Track outcomes: Measure adoption rates, feature usage, and customer satisfaction post-changes.

3. SaaS-Specific Maintenance

Cloud-based SaaS applications require a structured maintenance plan to ensure security, functionality, and market relevance.

• Routine bug fixes: Address critical and minor issues promptly to prevent downtime and ensure system stability.
• Regular updates: Release enhancements, security patches, and feature improvements on a schedule.
• New feature rollouts: Introduce value-driven features based on market trends and user needs.
• Data integrity checks: Regularly back up data and validate database integrity to prevent corruption.
• Compliance audits: Ensure adherence to GDPR, HIPAA, SOC 2, or other relevant regulations.

Example: Slack deploys updates weekly while maintaining a 99.99% uptime, striking a balance between speed and reliability.

What Are the Legal and Compliance Considerations for SaaS Applications?

The legal and compliance considerations for SaaS applications are:

1. GDPR Compliance
2. HIPAA and SOC 2 Compliance
3. Data Residency & Legal Jurisdictions

As a SaaS leader, you cannot treat compliance as optional. Overlooking regulations exposes your company to major financial and reputational risks.

Here’s a concise guide to navigate legal frameworks globally:

1. GDPR Compliance

• European Customers: Ensure GDPR compliance for all EU users.
• User Consent: Collect clear opt-ins before processing personal data.
• Data Handling: Encrypt sensitive data both at rest and in transit.
• Breach Notifications: Notify authorities and affected users within 72 hours of a breach.
• Cross-Border Transfers: Utilize approved mechanisms (e.g., Standard Contractual Clauses) for transferring EU data outside the European Union.

2. HIPAA and SOC 2 Compliance

• Healthcare SaaS: HIPAA ensures the protection of patient health information (PHI).
• Financial SaaS: SOC 2 certification guarantees operational controls for security, availability, and confidentiality.
• Best Practices: Regular audits, employee training, and secure access controls.

3. Data Residency & Legal Jurisdictions

• Local Data Laws: Some countries (India, UAE, Germany) mandate that specific data stay within the country.
• Hosting Choices: Select cloud providers that support regional compliance.
• Legal Jurisdiction: Define governing law in your SaaS T&Cs to reduce legal risk.

Extra Compliance Tips

• Privacy by Design: Integrate compliance into product architecture from day one.
• Documentation: Maintain logs, consent records, and audit trails.
• Third-Party Vendors: Ensure that any integrations (APIs, cloud services) are also compliant.

How to Market and Promote Your SaaS Application?

To market and promote your SaaS application, follow these points:

1. SaaS Marketing Strategy
2. Content Marketing, SEO, and Social Media for SaaS
3. Effective SaaS Sales Funnels and Customer Journeys
4. Customer Retention Strategies
5. Leveraging Reviews and Testimonials

Now, let us understand in detail how to market and promote your SaaS application.

1. SaaS Marketing Strategy

• Define Your Target Audience: Identify ideal users and businesses for your SaaS solution. Segment based on industry, company size, geography, and user behavior.
• Position Your SaaS Product: Clearly articulate your value proposition. Demonstrate to SaaS leaders why your application outperforms alternatives from other providers.
• Leverage Thought Leadership: Publish blogs, whitepapers, and SaaS tutorials to demonstrate expertise in cloud and SaaS computing.
• Focus on Content Marketing: Use guides, tutorials, case studies, and examples of cloud-based applications to attract and educate prospects.

2. Content Marketing, SEO, and Social Media for SaaS

• Educational Content: Publish how-to guides, tutorials, and blog posts on SaaS Python development or web-based applications.
• SEO Optimization: Use keywords like “cloud-based SaaS application”, “developing SaaS applications,” and “build a SaaS application” naturally throughout content.
• Social Media Presence: Share updates, product insights, and customer success stories on LinkedIn, Twitter, and Facebook for SaaS visibility.
• Email Campaigns: Nurture leads with product tips, onboarding emails, and tutorials, positioning your SaaS as a trusted solution.

3. Effective SaaS Sales Funnels and Customer Journeys

• Lead Capture: Use free trials, demo requests, and gated content to collect user information.
• Lead Nurturing: Implement automated drip campaigns educating users about your SaaS functionality.
• Conversion Optimization: Guide users from free trials to paid plans with clear value demonstrations.
• Upsell & Cross-sell: Encourage existing customers to upgrade or explore complementary features.

4. Customer Retention Strategies

• User Onboarding: Offer seamless onboarding tutorials and clear guides on how to make a SaaS platform work for their business.
• Personalized Communication: Use email and in-app notifications to engage users based on behavior and usage patterns.
• Proactive Support: Provide quick resolution through live chat, support tickets, or AI-driven SaaS support agents.
• Regular Updates: Keep users informed of new features, security updates, and system improvements.

5. Leveraging Reviews and Testimonials

• Build Credibility: Display positive customer reviews prominently on your website.
• Case Studies: Share real-world examples of cloud-based SaaS applications solving industry-specific problems.
• Encourage User Feedback: Request reviews and testimonials to continuously improve your SaaS offering.

What Are the Advanced Features to Add to Your SaaS Application?

When building a cloud-based SaaS application, incorporating advanced features from the outset can make your product more scalable, competitive, and attractive to customers. Here’s a breakdown of essential capabilities to consider:

1. Multi-Tenancy Architecture

• Serve multiple clients using a single instance of your application.
• Reduce infrastructure costs while maintaining data isolation and integrity.
• Simplify maintenance and updates across all customers.

2. Subscription Management & Payment Integrations

• Offer flexible subscription plans (monthly, annual, freemium).
• Integrate with popular payment gateways (Stripe, PayPal, Razorpay).
• Automate billing, invoices, and renewal reminders.

3. API Integrations & SaaS Ecosystem

• Enable third-party integrations to extend your platform’s functionality.
• Build a developer-friendly ecosystem to encourage partnerships.
• Support workflow automation for enterprise clients.

4. Role-Based Access Control (RBAC)

• Allow admins to assign roles and permissions to team members.
• Enhance security while maintaining operational efficiency.

5. Analytics & Reporting Dashboard

• Provide real-time insights into usage, performance, and KPIs.
• Enable data-driven decisions for your customers.

Final Thoughts

Developing a cloud-based SaaS application from idea to launch may seem complex, but following a structured approach ensures clarity, efficiency, and long-term success. Here’s a concise recap:

• Validate Your Idea Early – Conduct market research, competitor analysis, and user surveys to ensure your SaaS concept solves real problems.
• Plan and Strategize – Define core features, MVP scope, revenue model, and technology stack. Consider cloud and SaaS computing solutions for scalability and reliability.
• Choose the Right Tech Stack – Select tools for web-based SaaS applications, programming languages like SaaS Python, and frameworks that support secure, scalable architecture.
• Develop Iteratively – Use agile methods to build and test modules. Focus on developing SaaS applications that are user-friendly, fast, and reliable.
• Integrate Cloud Infrastructure – Leverage solutions from leading cloud-based SaaS companies for storage, compute, and analytics, ensuring seamless deployment and scalable operations.
• Test, Monitor, and Optimize – Conduct thorough QA, load testing, and refer to saas tutorials to refine your application. Ensure compliance with GDPR, HIPAA, or SOC 2 standards.
• Launch Strategically – Roll out your MVP, gather feedback, and iterate quickly based on real user insights. Track key metrics to improve engagement and retention.
• Plan for the Future – Continuously enhance your SaaS with new features, performance upgrades, and innovative solutions to stay competitive.

Building a successful SaaS product requires not just technical skills but strategic guidance. Scalevista offers end-to-end expertise in custom software development, web, and mobile development, specializing in cloud-based SaaS applications.

By collaborating with Scalevista, you gain access to:

• Expert teams with years of SaaS and cloud development experience.
• Tailored solutions for startups and mid-market businesses aiming for global scalability.
• Strategic guidance on technology choices, MVP planning, and deployment.

Ready to turn your SaaS idea into a market-ready application?

Connect with Scalevista today through scalevista.com/contact and get started on building a secure, scalable, and innovative SaaS product.

FAQs

1. What are cloud-based SaaS applications?

Cloud-based SaaS applications are software solutions hosted on the internet, accessible via web browsers, and delivered on a subscription model. Users don’t need to install or maintain the software locally, while businesses benefit from scalability, automatic updates, and secure, remote access. Examples include CRM tools, collaboration platforms, and project management apps.

2. Can a solo developer build a SaaS app?

Yes, a solo developer can build a SaaS app, especially a Minimum Viable Product (MVP). Success depends on clear planning, selecting the right tech stack, utilizing cloud services, and prioritizing essential features. However, scaling, security, and maintenance may require additional support or collaboration as the product grows.

3. Can I build a SaaS with Python?

Absolutely. Python is ideal for building SaaS applications due to its simplicity, rich libraries, and frameworks like Django and Flask. It supports rapid development, scalable architecture, and integration with databases and APIs, making it suitable for both MVPs and full-featured cloud-based SaaS solutions.

4. How does a SaaS development framework work?

A SaaS development framework provides pre-built components, tools, and templates to simplify the development of cloud-based applications. It handles common tasks like user authentication, database management, API integration, and multi-tenancy. By using a framework, developers save time, ensure best practices, and focus on unique features that differentiate their SaaS product.