CommunityDevOps ExchangePartners
Articles
5/19/2021
10 minutes

Prioritizing Data Security Compliance Throughout a Cloud Migration

Written by
Copado Team
Table of contents

Originally published by New Context.
 

Irrespective of what widgets or services your organization provides to its customers, success is not possible without good management. Defining explicitly what good management entails is not a simple exercise, yet there are certain qualities and actions that successful executives and managers seem to possess and employ. Critically, knowing what technology to leverage—and when—can be the difference between leading an industry and being left behind. Closely associated with this skill for timely technology utilization is assigning the right tasks to the right people.

Today, one of the decisions that virtually all enterprises are grappling with is how to best leverage digital transformation. The advantages of successfully embracing digitization are many, including increased operational efficiency and resiliency. A major consideration when opting to more effectively utilize software and data management is whether to migrate to the cloud.

For organizations that rely heavily on legacy systems and/or have high data security and compliance issues, careful consideration must be given to how and who is best suited to implement a cloud migration. Let’s take a look at what should be considered before moving to the cloud and how to ensure the migration incorporates data security compliance solutions for not just today but the future as well.

What to Consider Before a Cloud Migration

A typical model for a cloud migration includes the following phases:

  • Cloud readiness assessment

    Initially, an assessment that includes costs, savings, architecture, and security should be done. However, the most critical decision is who should actually perform this assessment. Therefore, careful consideration should be given to whether in-house resources have the necessary expertise or whether it would be more beneficial to outsource.  
  • Proof of concept

    To validate the choice for migration, a proof of concept should be created. This includes developing a success criterion for specific services and a testable model.https://portal.uci.edu/uPortal/f/welcome/normal/render.uP
  • Application migration

    Migrate applications using a forklift or hybrid strategy. It is crucial that each application be considered individually. It may be possible to perform a simple “lift & shift.” However, it is more likely that a refactor leveraging cloud native solutions will prove to be the better option to achieve the best cost savings, scalability, and resiliency. 
  • Data migration

    Data migration involves determining the specific data and applications to move, what transformations are necessary, who will perform the migration and ongoing maintenance/support and other considerations. 
  • Optimization

    The solution should be consistently updated and optimized for performance, resiliency, and efficiency to realize the greatest operational and cost benefits.   

As this list illustrates, there are a number of considerations that accompany the decision to migrate to the cloud. For example, will all data and applications be migrated? Does the internal IT team have the expertise and bandwidth to institute the transition without any loss in operational efficiency? Will the architecture support projected future needs? What is the best method of securing access credentials and secrets?

Obviously, transitioning to the cloud is a complicated process, and who implements it and how will determine the level of advantage that can be achieved. An efficient migration is a primary objective; however, any gains will be soon lost without the agility to adjust to future changes. For industries that are highly regulated, such as healthcare and banking, it is mandatory that the system be able to adapt to new rules and standards quickly and easily. Therefore, compliance automation solutions must be an integral consideration for a cloud migration.

What to Consider Before a Cloud Migration - Copado

Data Security Compliance During and After Migration

Migrating to the cloud is a dynamic action to take, and this digital transformation will most likely benefit your organization’s workflow, efficiency, and ability to serve your clients. With these improvements, it will be inevitable that changes will be needed, as with any environment.

Some of these upgrades can be managed and scheduled, but for others, the timing of your rollout may not be flexible. An example of this would be when industry requirements change for how you collect and/or store your data. In most cases, the timeline for when you must be in compliance will be out of your control.

Failing to maintain compliance with government regulations for handling data not only puts your customer’s information at risk but can also be costly. As an example, fines for HIPAA violations can run as high $1.75 million, even when it was not known that a violation had been breached. To avoid these and other negative effects from lack of compliance, it is best to employ automated compliance as part of a cloud migration.

Automated compliance can be used to search, assess, and flag non-compliant resources. Moving to the cloud can often assist with maintaining data security compliance, as cloud providers are also required to meet most of the same policies. However, for industry-specific compliance, extra steps are likely to ensure compliance, for which the following actions will be helpful:

  • Encrypting data in transit as well as at rest
  • Enacting the principle of least privilege for accessing your data as well as utilizing auditing services
  • Utilizing a tool capable of making certain that resources deployed in your cloud environment stay in compliance

Following these guidelines will help ensure that your cloud environment is optimized for compliance and help shield you from the unnecessary costs and loss of client confidence that comes with non-compliance.

 

 

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.

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
Top 3 Data Compliance Challenges of Tomorrow and the Solutions You Need Today