Struggling with Multi Cloud Adoption Challenges? Here’s How to Overcome Them
Last Updated on March 7, 2025
Last Updated on March 7, 2025
Quick Summary
In this blog, we’ll explore the common multi cloud adoption challenges businesses face, such as rising costs, security gaps, and data silos—and how these challenges can be overcome. From cost optimization and enhanced security to improved data integration and performance, we’ll guide you through solutions that can make your multi-cloud strategy a success.
Many companies rush into multi-cloud adoption, thinking it’s a strategic win—more flexibility, better reliability, and reduced dependency on a single vendor. It all sounds great on paper.
Then reality hits.
Suddenly, you’re dealing with inconsistent security policies, skyrocketing costs, data scattered across platforms, and operational chaos. What was supposed to simplify operations ends up making them more complex.
At Bacancy, we’ve seen this firsthand. Clients often come to us when their multi cloud strategy isn’t working as expected, and we help them fix what’s broken. Below, I’ll walk you through the most common multi cloud adoption challenges we’ve encountered—and exactly how we solved them.
Here are six key challenges our clients faced with multi-cloud adoption—and how we helped them turn things around.
Multi-cloud adoption starts small—maybe a company uses AWS for production and Google Cloud for analytics. But soon, different teams spin up services across platforms without tracking costs. Before anyone realizes it, the cloud bill has doubled (or worse).
A fintech client ran into this exact issue. Inter-region data transfers, idle compute instances, and duplicated storage across clouds were silently draining their budget. They expected cost savings, but instead, they were burning money fast.
End result? A 30% reduction in unnecessary cloud spend within three months.
Each cloud provider has its own security model. AWS IAM doesn’t work like Azure AD, and GCP has its own approach to access control. This leads to inconsistencies—one cloud might be secure while another is left wide open.
A SaaS client had AWS locked down but left their GCP workloads vulnerable to privilege escalation attacks. Their teams weren’t aligned on security best practices, creating potential backdoors for cyber threats.
This tightened security across all cloud environments without slowing down operations.
Data sitting in multiple clouds is hard to access and sync. A global retail client faced this issue—their sales data was on AWS, customer insights on Azure, and inventory tracking on GCP. Running cross-cloud reports? A nightmare.
Teams had to manually pull and merge data, leading to delays, inaccuracies, and poor decision-making.
Built a real-time data pipeline using Apache Kafka & AWS Glue to:
Now, instead of waiting hours for reports, they get real-time analytics—leading to faster and smarter business decisions.
Without a centralized cloud strategy, teams provision resources in different ways, leading to:
A healthcare client had 300+ untagged cloud resources across AWS, Azure, and GCP. When we asked them which ones were critical, they had no idea.
Outcome? Their cloud footprint became cleaner, more organized, and 40% more cost-efficient.
Managing a multi-cloud environment requires deep expertise across AWS, Azure, and GCP. The problem? Most engineers specialize in just one.
A logistics client struggled because their AWS engineers weren’t comfortable with GCP networking. This led to misconfigurations, longer troubleshooting times, and constant delays.
After this, their engineers could seamlessly manage AWS and GCP, reducing downtime and increasing productivity.
Latency issues often arise when workloads are distributed across multiple clouds. Different cloud providers have varying network architectures, leading to slow response times and poor user experiences.
A media streaming client faced performance issues because their video processing workloads were spread across AWS and Azure, causing delays in content delivery.
As a result, content delivery speeds improved by 45%, ensuring a smooth experience for millions of users.
Managing multiple cloud platforms sounds great—until costs start rising, security gaps appear, and systems don’t work well together. Many businesses face these multi cloud adoption challenges and struggle to keep everything running smoothly.
The good news? These problems have solutions. With the right approach, companies can reduce costs, improve security, and make cloud management easier. At Bacancy, we help businesses simplify their multi-cloud strategy with our Cloud Managed Services, making sure everything works together efficiently and without unnecessary complexity.