CommunityDevOps ExchangePartners
Articles
8/9/2021
10 minutes

Implementing an Agile Development Cycle to Optimize Cloud Migration

Written by
Copado Team
Table of contents

Originally published by New Context.

The agile methodology was created to help software development teams work faster and adapt to the constant requirement changes that occur over the life of a development project, but it can also be used to help organizations optimize their cloud migrations. Organizations face many challenges when it comes to migrating their workloads to the cloud, including the financial and time costs of devoting crucial technical resources to the project. That’s why many organizations are optimizing the speed, efficiency, and adaptability of their cloud migrations by implementing an agile development cycle.

How Implementing an Agile Development Cycle Can Optimize Cloud Migration

A cloud migration is more of a marathon than a sprint. The migration process can be disruptive to workflows and introduce significant change to organizations. That’s why we recommend implementing an agile development cycle, which lets you learn, iterate, and accelerate the individual processes involved in a cloud migration.

The agile development cycle allows you to break up the execution of a cloud migration into a series of small, well-defined, testable, and repeatable processes. This means every aspect of the cloud migration will be performed in short sprints, so you can quickly identify and fix issues and optimize the speed and efficiency of your migration as you go.

There are a few different models for the agile development cycle, but they generally follow the same iterative formula. Multiple iterations will take place, with each iteration providing the next piece of the cloud migration puzzle until the final project is complete. Each iteration is limited in time and scope and will have its own workflow, allowing for quick and painless changes when needed.

A typical agile development cycle contains five stages: project conception, planning, development and testing, production, and retirement. Some agile approaches will break down these stages even further, and not every iteration will reach every stage of the cycle. The purpose of the agile development cycle is to be more flexible, so adapting the process to your project’s needs is crucial for an agile cloud migration.

Stage 1: Project Conception

The first stage of the agile development cycle is the conception of the project. At the beginning, you’ll identify the pain points that you want to address with your cloud migration—such as infrastructure scalability and disaster recovery—and get buy-in from key players like executives and department heads. As you move into future iterations of the agile cycle, this stage is when you’ll identify and prioritize each workload or service that needs to be migrated to the cloud.

Stage 2: Planning

The next stage of the agile development cycle is the planning and inception of the project. You need to build out your team, put the necessary funding into place, and discuss and finalize the requirements. To keep your team and project agile, you’ll want to ensure at this stage that the scope for each iteration isn’t too large, and that your development milestones are easily achievable. Successfully planning each iteration of the agile development cycle is critical for ensuring you’re able to make quick changes and pivot your focus when needed.

Stage 3: Development and Testing

The development and testing stage is when your teams will get to work implementing your cloud migration. In any cloud implementation, your emphasis during this phase should be automated provisioning or infrastructure as code. With an agile development cycle, it’s also important to perform QA testing with every single iteration so you catch and address any issues before they affect future iterations. In addition, this is when you should be creating your documentation, and, after QA testing is complete, this is when you’ll train your internal and/or external users on any changes to their workflows.

Stage 4: Production

At this stage, you’ve completed the work of migrating workloads to the cloud and you’re now supporting users in production. Feedback should be gathered from users during the production stage so you can ensure their needs are met in future iterations of the project. Every iteration of your agile cloud migration will sit at the production stage until the product or service is ready to be retired.

Stage 5: Retirement

The last stage of the agile development cycle involves all the end-of-life activities for your cloud services, including customer notification and, if necessary, migration to a new service. Unless you decide to move any of these workloads back to on-premises operations, you should ideally be starting a new agile development iteration when you migrate a service from one cloud platform to another. Thus the agile development cycle repeats itself.

The agile development cycle should stay in place from the conception of the cloud migration project until the service or workload you’ve migrated is decommissioned. This ensures that your teams are always ready to update, change, or move your cloud services as soon as the need arises.

 

Agile Development Cycle Can Optimize Cloud Migration | Copado

Tips for Keeping Your Cloud Migration Agile

If your organization has never implemented an agile development cycle before, it can be challenging to get everyone on board with adopting these changes, but early buy-in from everyone on the team is critical. Everyone from the executives to the engineers needs to commit to following the agile development cycle through each iteration of the cloud migration, otherwise it can be easy to slide back into less-agile practices. An agile cloud migration shouldn’t be a one-time task that’s crossed off a list, but an ongoing process that lasts until you decommission the product or service.

Make sure you’re breaking down your cloud migration into small enough pieces. Each iteration should focus on a specific element of the migration, so that each workload or application you migrate is handled individually with care and precision. Remember that by limiting the scope of each iteration, you’re making it easier for the team to pivot their focus whenever necessary. You should always analyze what has been delivered and learn from that effort as you move into the next iteration.

Finally, ensure that your cross-functional teams are communicating with each other throughout every iteration of the migration. It’s crucial that everyone is on the same page so that teams can adapt to changes quickly and painlessly without stepping on each other’s toes. Open communication between teams also provides more opportunities for collaboration and problem solving, which can help optimize a complicated cloud migration.

Keeping Agile Cloud Migrations Secure

One final note on using the agile development cycle to optimize your cloud migration—don’t sacrifice security for speed. Maintaining the privacy and security of your data as it is migrated to the cloud is critical, and it can only be done through robust planning and thoughtful execution.

 

 

Book a demo

About The Author

#1 DevOps Platform for Salesforce

We Build Unstoppable Teams By Equipping DevOps Professionals With The Platform, Tools And Training They Need To Make Release Days Obsolete. Work Smarter, Not Longer.

How to Sync Salesforce Environments with Back Promotions
Copado and Wipro Team Up to Transform Salesforce DevOps
DevOps Needs for Operations in China: Salesforce on Alibaba Cloud
What is Salesforce Deployment Automation? How to Use Salesforce Automation Tools
Maximizing Copado's Cooperation with Essential Salesforce Instruments
Future Trends in Salesforce DevOps: What Architects Need to Know
From Chaos to Clarity: Managing Salesforce Environment Merges and Consolidations
Enhancing Customer Service with CopadoGPT Technology
What is Efficient Low Code Deployment?
Copado Launches Test Copilot to Deliver AI-powered Rapid Test Creation
Cloud-Native Testing Automation: A Comprehensive Guide
A Guide to Effective Change Management in Salesforce for DevOps Teams
Building a Scalable Governance Framework for Sustainable Value
Copado Launches Copado Explorer to Simplify and Streamline Testing on Salesforce
Exploring Top Cloud Automation Testing Tools
Master Salesforce DevOps with Copado Robotic Testing
Exploratory Testing vs. Automated Testing: Finding the Right Balance
A Guide to Salesforce Source Control
A Guide to DevOps Branching Strategies
Family Time vs. Mobile App Release Days: Can Test Automation Help Us Have Both?
How to Resolve Salesforce Merge Conflicts: A Guide
Copado Expands Beta Access to CopadoGPT for All Customers, Revolutionizing SaaS DevOps with AI
Is Mobile Test Automation Unnecessarily Hard? A Guide to Simplify Mobile Test Automation
From Silos to Streamlined Development: Tarun’s Tale of DevOps Success
Simplified Scaling: 10 Ways to Grow Your Salesforce Development Practice
What is Salesforce Incident Management?
What Is Automated Salesforce Testing? Choosing the Right Automation Tool for Salesforce
Copado Appoints Seasoned Sales Executive Bob Grewal to Chief Revenue Officer
Business Benefits of DevOps: A Guide
Copado Brings Generative AI to Its DevOps Platform to Improve Software Development for Enterprise SaaS
Celebrating 10 Years of Copado: A Decade of DevOps Evolution and Growth
Copado Celebrates 10 Years of DevOps for Enterprise SaaS Solutions
5 Reasons Why Copado = Less Divorces for Developers
What is DevOps? Build a Successful DevOps Ecosystem with Copado’s Best Practices
Scaling App Development While Meeting Security Standards
5 Data Deploy Features You Don’t Want to Miss
Top 5 Reasons I Choose Copado for Salesforce Development
How to Elevate Customer Experiences with Automated Testing
Getting Started With Value Stream Maps
Copado and nCino Partner to Provide Proven DevOps Tools for Financial Institutions
Unlocking Success with Copado: Mission-Critical Tools for Developers
How Automated Testing Enables DevOps Efficiency
How to Keep Salesforce Sandboxes in Sync
How to Switch from Manual to Automated Testing with Robotic Testing
Best Practices to Prevent Merge Conflicts with Copado 1 Platform
Software Bugs: The Three Causes of Programming Errors
How Does Copado Solve Release Readiness Roadblocks?
Why I Choose Copado Robotic Testing for my Test Automation
How to schedule a Function and Job Template in DevOps: A Step-by-Step Guide
Delivering Quality nCino Experiences with Automated Deployments and Testing
Best Practices Matter for Accelerated Salesforce Release Management
Maximize Your Code Quality, Security and performance with Copado Salesforce Code Analyzer
Upgrade Your Test Automation Game: The Benefits of Switching from Selenium to a More Advanced Platform
Three Takeaways From Copa Community Day
Cloud Native Applications: 5 Characteristics to Look for in the Right Tools
Using Salesforce nCino Architecture for Best Testing Results
How To Develop A Salesforce Testing Strategy For Your Enterprise
What Is Multi Cloud: Key Use Cases and Benefits for Enterprise Settings
5 Steps to Building a Salesforce Center of Excellence for Government Agencies
Salesforce UI testing: Benefits to Staying on Top of Updates
Benefits of UI Test Automation and Why You Should Care
Types of Salesforce Testing and When To Use Them
Copado + DataColada: Enabling CI/CD for Developers Across APAC
What is Salesforce API Testing and It Why Should Be Automated
Machine Learning Models: Adapting Data Patterns With Copado For AI Test Automation
Automated Testing Benefits: The Case For As Little Manual Testing As Possible
Beyond Selenium: Low Code Testing To Maximize Speed and Quality
UI Testing Best Practices: From Implementation to Automation
How Agile Test Automation Helps You Develop Better and Faster
Salesforce Test Cases: Knowing When to Test
DevOps Quality Assurance: Major Pitfalls and Challenges
11 Characteristics of Advanced Persistent Threats (APTs) That Set Them Apart
7 Key Compliance Regulations Relating to Data Storage
7 Ways Digital Transformation Consulting Revolutionizes Your Business
6 Top Cloud Security Trends
API Management Best Practices
Applying a Zero Trust Infrastructure in Kubernetes
Building a Data Pipeline Architecture Based on Best Practices Brings the Biggest Rewards
CI/CD Methodology vs. CI/CD Mentality: How to Meet Your Workflow Goals
DevOps to DevSecOps: How to Build Security into the Development Lifecycle
DevSecOps vs Agile: It’s Not Either/Or
How to Create a Digital Transformation Roadmap to Success
Infrastructure As Code: Overcome the Barriers to Effective Network Automation
Leveraging Compliance Automation Tools to Mitigate Risk
Moving Forward with These CI/CD Best Practices