Articles
9/20/2021
10 minutes

How Using A Multi Cloud Architecture Can Increase Agility and Minimize Risk

Written by
Copado Team
Table of contents

Originally published by New Context.

The cloud is constantly evolving, and modern enterprises must evolve too if they want to make the best use of cloud technology. That’s why many businesses have adopted multi cloud architectures, allowing them to increase their vendor leverage, minimize risk, optimize performance, and take advantage of cutting-edge features and functionality. According to the Flexera 2021 State of the Cloud Report, 92% of enterprises have embraced multi cloud strategies. Let’s look at the four biggest benefits of multi cloud setups and discuss some of the most popular implementation strategies so you can determine whether a multi cloud architecture is right for your enterprise.

The Benefits of Using a Multi Cloud Architecture

There are multiple reasons why a company might choose to use multiple cloud providers instead of just one, including to avoid vendor lock-in or to strengthen their disaster recovery and business continuity strategies. Here are some of the biggest benefits of implementing a multi cloud architecture.

Increased Agility

Many companies adopt a multi cloud strategy because they’re looking for greater choice and portability. Legacy cloud providers like AWS create walled gardens by charging relatively large transfer fees to move data off their platform, but now there are more forward-thinking public clouds that allow for seamless integration with other platforms.

Now that the right to data portability is a hot-button issue thanks to laws like the CCPA (California Consumer Privacy Act), you can expect more providers to encourage multi cloud deployments by allowing for cheap or free data transfers between platforms. Using a multi cloud architecture with platform portability increases your agility in areas like disaster recovery, performance optimization, and containerization.

Portability in a multi cloud architecture also provides you with more leverage in vendor contract renewal negotiations, because you can easily take your data and leave if you’re unhappy with the terms.

Specificity of Features

It may be that a vendor’s expertise and innovation for a particular product better suits your needs than your regular cloud vendor, and yet your regular vendor excels in some other product you need to work with. Therefore, many companies are choosing to leverage specialized cloud providers for different workloads. Adopting a multi cloud architecture enables you to partner with experts in the services you need and ensure you’re utilizing the most innovative technology for your specific requirements.

Optimized Performance

Another benefit of a multi cloud architecture is that you can pick the cloud providers that offer the best performance for your particular needs. For example, you may require cloud providers with data centers in certain geographic regions to ensure peak performance for your largest user bases. Or, you may need multiple cloud providers to make certain there is uptime and SLA coverage for all of your services in various locations.

You can also use multi cloud data controllers to automatically orchestrate workloads across multiple clouds, optimizing performance by intelligently distributing applications and services to the best provider.

Minimized Risk

One of the biggest reasons many companies adopt a multi cloud architecture is to provide redundancy. You can host applications, data, and services across multiple clouds, using one as the primary and the other as a standby. As long as all data and workloads are accurately replicated across clouds, you can ensure continuous availability in the event of a disaster, outage, or denial of service attack. Many multi cloud management tools allow for automated replication and failover across multiple cloud providers.

Strategies for Using a Multi Cloud Architecture

Many companies end up with a multi cloud architecture unintentionally, after years of vendor-hopping and chasing the best deals on cloud services. However, to get the most out of a multi cloud setup, it’s best to approach your architecture more strategically.

 

Strategy

How it Works

Segmenting Workloads

One of the most common multi cloud strategies is to segment workloads across different clouds, depending on which vendor offers the best terms, SLA, or features for each. The goal with this type of multi cloud architecture is to host each workload on the platform that works best while still allowing for open communication, integration, and data transfers between them. One of the potential pitfalls of this strategy is that some organizations tend to become fond of certain vendors either due to great licensing terms or personable salespeople, and then they transfer other applications to those providers even if they’re not the best fit for those workloads. Keeping track of which workloads and applications reside with which clouds can also become a problem if you don’t have a solid multi cloud management solution in place as well as comprehensive documentation.

Parallel Deployments

With a parallel strategy, you deploy your critical applications and data across multiple clouds in order to ensure business continuity. This type of multi cloud architecture allows you to minimize your risk if there’s a service outage or denial of service attack. Achieving a parallel architecture can be tricky if you don’t utilize platform-agnostic cloud management tools to ensure you can deploy your applications to any cloud without needing to make platform-specific modifications. Another strategy is to develop applications using as many open-source components as possible, since they’ll generally work on any cloud.

Containers

One of the biggest promises of a multi cloud architecture is the ability to freely deploy and move your workloads around from cloud to cloud whenever you want. Using containers to deploy your applications, you can employ automation tools to move them around based on resource needs, fully optimizing the performance-enhancing potential of multi cloud architectures. Additionally, using a multi cloud strategy with containers allows you to fully avoid vendor lock-in because there’s very little hassle or manual intervention needed to transfer your containers off a platform if you’re unhappy with their terms or SLAs.

Meeting the Challenges of a Multi Cloud Architecture

One of the biggest drawbacks to a multi cloud architecture is complexity. Each cloud platform comes with its own set of management tools and processes, disparate SLAs, inconsistent security practices, and potential operational silos. To fully reap the benefits of a multi cloud architecture, you may need a platform-agnostic tool to centrally manage your cloud operations. Another tip for successfully managing a multi cloud architecture is to partner with experts in the field who can help you develop solutions for securely transitioning from a single cloud or hybrid cloud scenario.

 

 

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.

ビジネスアプリケーション向けのDevOps(デブオプス)って何?
セールスフォースエコシステムにおけるDevOpsの卓越性
セールスフォーステストにおけるAI活用のベストプラクティス
6 testing metrics that’ll speed up your Salesforce release velocity (and how to track them)
第4章: 手動テストの概要
セールスフォース向けAI動作テスト
Chapter 3: Testing Fun-damentals
Salesforce Deployment: Avoid Common Pitfalls with AI-Powered Release Management
Exploring DevOps for Different Types of Salesforce Clouds
Copado Launches Suite of AI Agents to Transform Business Application Delivery
What’s Special About Testing Salesforce? - Chapter 2
Why Test Salesforce? - Chapter 1
Continuous Integration for Salesforce Development
Comparing Top AI Testing Tools for Salesforce
Avoid Deployment Conflicts with Copado’s Selective Commit Feature: A New Way to Handle Overlapping Changes
From Learner to Leader: Journey to Copado Champion of the Year
Enhancing Salesforce Security with AppOmni and Copado Integration: Insights, Uses and Best Practices
The Future of Salesforce DevOps: Leveraging AI for Efficient Conflict Management
A Guide to Using AI for Salesforce Development Issues
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
Go back to resources
There is no previous posts
Go back to resources
There is no next posts

Explore more about

アジャイルプランニング
Articles
October 31, 2024
ビジネスアプリケーション向けのDevOps(デブオプス)って何?
Articles
October 15, 2024
セールスフォースエコシステムにおけるDevOpsの卓越性
Articles
October 11, 2024
セールスフォーステストにおけるAI活用のベストプラクティス
Articles
October 4, 2024
6 testing metrics that’ll speed up your Salesforce release velocity (and how to track them)

AIを有効活用しDevOpsを加速

より速くリリースし、リスクを排除し、仕事を楽しんでください。
コパードDevOpsをお試しください。

リソース

リソースライブラリを使用して セールスフォースDevOpsのスキルをレベルアップしてください。

今後のイベントと
オンラインセミナー

さらに詳しく

電子書籍とホワイトペーパー

さらに詳しく

サポートとドキュメンテーション

さらに詳しく

デモライブラリ

さらに詳しく