Cloud Development Life Cycle [ CDLC ] Guide 2024

Cloud Development Life Cycle (CDLC) goes from deciding to create software to stopping support.

Cloud service development differs from SDLC because cloud provider is crucial to project success.

This method allows

• Imagine complicated development process;
• Manage projects;
• Predict and plan work product delivery throughout development;
• Manage budget overruns;
• Determine current development stage quickly.

What Separates Cloud Development Lifecycle [ CDLC ] from SDLC

1. In some cases SDLC caused business needs to increase while reducing costs. Companies using on site infrastructure deployments have years long update cycles and poor software performance.
2. cloud software development and deployment lifecycle is different. Cloud Development Lifecycle [ CDLC ] is more agile and adaptable to enterprise needs.
3. Cloud Development Lifecycle also pioneers internet based scalable distributed services. According to NIST Cloud computing is model for enabling ubiquitous convenient on demand network access to shared pool of configurable computing resources.
4. (e.g. networks servers storage applications & services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.
5. The SDLC and Cloud Development Lifecycle differ most in development and launch.

Software Development Methodologies

Your team size goals & other factors determine best SaaS product lifecycle software development methodology. Here is list of the most popular software development methodologies we use for our projects.

Agile development

Agile development reduces bugs cost overruns & changing requirements. when adding new functionality. Teams develop software in iterations with mini increments of new functionality in all agile methods. Scrum crystal XP & feature driven development are agile development methods.​​

• Pros: Agile software developments main benefit is iterative release. Teams can find and fix bugs and set expectations early with iterative releases improving efficiency. They also deliver software benefits faster with frequent incremental improvements.
• Cons: Agile development methods require real time communication so new users often lack documentation. Users must spend lot of time on them and developers must finish each feature in each iteration for user approval.

Dedicated development teams managers & companies used to waterfall may struggle with agile SDLCs. Thus hybrid approaches often work for them.

Methodology for DevOps Rollout

The DevOps development methodology and practices support organizational culture. DevOps deployment improves collaboration between development quality assurance & operations departments through organizational change.

Pros: DevOps reduces release failures shortens fix lead times & minimizes disruption while maximizing reliability. DevOps organizations automate continuous deployment to ensure smooth and reliable operations. DevOps reduces time to market and improves customer satisfaction product quality & employee productivity and efficiency.

Despite its benefits DevOps has some drawbacks:

• Some customers prefer intermittent system updates.
• Industry regulations may require extensive testing before project can enter operations.
• Departments using different environments can introduce undetected issues into production.
• Some quality attributes require human interaction slowing delivery.

Developing Waterfall

Waterfall is most common software development method for quick launches. waterfall method is linear model with distinct goals in each phase (requirements design implementation verification maintenance). Each phase must be 100% finished before starting next. Adjusting project or direction is usually impossible.

Waterfall development is linear making it easy to understand and manage. Waterfall works best for projects with clear goals and stable requirements. Waterfall development may be best for inexperienced project managers teams & teams that change frequently.

Cons: Due to its rigid structure and tight controls waterfall development is slow and expensive. These drawbacks may make waterfall users consider other software development methods.

All above software development methodologies are most common. Each has strengths and weaknesses and works well in different situations. Choose development methodology that fits your team and project by combining elements from each. You can create hybrid development methodology to get to production safely and quickly. Discuss your concerns with our team and well offer solution.

Examples of Cloud SDLC Phases

Its important to understand each step of development before moving on. first three stages answer test questions while last three optimize results.

Lets examine each stage and analyze results which you may want to optimize for your situation.

Negotiating SaaS Lifecycle

Its how your project begins. This stage completes all intellectual property paperwork. Thus we will first sign an NDA.

At this stage we will schedule our first calls and discussions to learn about your SaaS product vision choose technologies & provide skilled team of specialists.

After that.. l create customized proposal that considers all of above as well as project timing and budget. If both parties agree we sign contract and proceed.

System Analysis

This phase is when you decide what to do and what problems to solve:

• Identifying issues goals & resources (people and money);
• Meeting with customers suppliers consultants & employees to explore alternative solutions;
• Improving your product over competition.

After analyzing this data you can build new system improve current one or leave it.

Three specialists work at this stage:

• Business Analyst: Competitive Niche Customer Profile Journey Roadmap.
• Architects create technological solutions and select technologies.
• Designer: UX/UI product sketches.

Define and document system end users expectations and how to meet them. project feasibility study determines its organizational economic social & technological viability. You need good customer communication to understand end product and its functions.

System Design

The design phase begins after understanding customers needs. This phase establishes systems components security level modules architecture interfaces & data types. In pen on paper systems design defines its appearance and function. Another detailed design takes into account all functional and technical requirements both logically and physically.

This stage involves working with:

• Business Analyst: Manages project portfolio roadmap functional & non functional requirements. Defining development team tasks.
• Designer: must design from documentation.
• Architect: Software and DevOps design documentation.

Development team: preparing for development getting tech knowledge from architect creating testing strategy checking documentation setting up all development environments and interfaces.

Development of SaaS

The project manager will explain developer tasks communicate with client & connect client and team at this stage. This specialist manages scrum sprints project time & results.

This phase follows system requirements and specifications comprehension. This is actual system development process after design is complete and visual. This phase of system development life cycle involves writing code and configuring and tuning hardware for specific requirements and functions.

The system is now ready for customer installation and combat mode launch. End users may need training to use system. Implementation can take long time depending on system complexity.

Deploy and Test

Combining components and subsystems into one system. We feed system inputs and analyze its output behavior & functioning. Testing which does not require coding hardware configuration or design is becoming increasingly important for customer satisfaction.

System Aid

This phase includes periodic technical support to keep system current. This includes updating equipment and assessing performance. It updates certain components to ensure system meets standards and latest technologies to avoid security threats.

The system development life cycle has six stages and is iterative for each project. Maintaining good customer communication is crucial. For implementing requirements prototypes are essential.

We can meet customer requirements before building system by building it in short iterations. Many system development lifecycle models aim to save time money & effort while minimizing risk of non compliance with customer requirements. These include iterative model and agile model .

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