Think You’re In The Cloud? Look Again

This piece is by Sonny Patel, Chief Product and Technology Officer at Socotra

In the rush to modernize, many insurance technology vendors migrated on-premise systems to the cloud—but missed the point of cloud entirely. Rather than rethinking their architecture, many vendors took a shortcut and lifted legacy systems onto virtual servers from public cloud providers like Amazon Web Services (AWS), Azure, and Google Cloud.

These “rented server” cloud systems suffer from the same old problems: brittle integrations, expensive upgrades, siloed data, and maintenance headaches. And while this move might reduce the need for physical data centers, it doesn’t unlock the real advantages of cloud computing—speed, scalability, resilience, and cost-efficiency.

The Hidden Costs of “Rented Server” Cloud

This illusion of “rented server” cloud carries real consequences. Let’s unpack a few:

● Frozen Innovation: Customizations make upgrades nearly impossible. Many insurers end up locking themselves into an outdated version of their platform—cutting off access to new features and improvements.

● Unplanned Downtime: When cloud upgrades involve months or years of planned outage—or worse, unplanned disruption—every quote, every claim, every customer interaction becomes vulnerable.

● High Costs: Many insurers are now paying more to run legacy systems on the cloud than they paid to run them on-premise. Without true autoscaling, resources are over-provisioned, underutilized, and overpriced.

These are not minor growing pains. These are symptoms of a fundamental architectural mismatch.

Mature Cloud vs. “Rented Server” Cloud: A Critical Distinction

When you log into Zoom, Gmail, or LinkedIn, you never worry about which version you’re on or upgrades. Those platforms are always on, always current, and always improving. They are mature cloud products—designed from the ground up to live in the cloud and harness its strengths.

Now compare that to what many insurers are using: a heavily customized legacy core system, installed on a rented server from AWS or Azure, with upgrade cycles measured in years and costs measured in millions. That’s old software in a new zip code.

A mature cloud system is one where:

● Customers are always on the latest version

● The system is architected for failure resilience, not just uptime

● The platform automatically scales to meet real-time demand

● Data access is flexible depending on business needs and types of data

One Version Means One Effortless Standard of Excellence

Cloud-native platforms treat upgrades like a product feature, not a service engagement. Upgrades are automatic, free, incremental, non-disruptive, frequent, well-communicated, and backward-compatible. This cadence ensures every customer benefits from the latest innovations without risking system stability or requiring costly interventions.

When all customers are on the same version of the software, innovation accelerates. There’s no fragmented customer base, no custom upgrade timelines, and no security patch roulette. Everyone benefits from the same performance, features, and fixes—instantly. This uniformity simplifies support, accelerates roadmap execution, and reduces total cost of ownership. It also drives a healthier vendor-customer relationship where conversations focus on strategic growth, not technical debt.

Built for Business Resilience and Continuity

True cloud systems are architected with failure in mind. Rather than chasing 100% uptime through brittle workarounds, they assume components will fail—and build in fault tolerance, automated recovery, and graceful degradation. This level of resilience ensures that critical processes like quoting, claims, and policy servicing stay online even when individual systems experience issues. The result is not just better reliability, but also greater business continuity and customer trust.

Automatic Scaling Delivers Business and Cost Advantages

One of the most powerful—and most underutilized—benefits of cloud-native platforms is automatic scalability. When demand surges, whether due to seasonality, catastrophe response, or business growth, the system flexes in real time to meet it. No manual intervention, no capacity planning, no service degradation. This elasticity isn’t just a technical feature; it’s a competitive advantage that ensures you can respond instantly to market needs and operational pressure.

Making Data Accessible by Design

Mature cloud platforms treat data as a first-class asset—not something locked behind custom extract jobs or outdated APIs. Because they’re built on modern architectures, data is accessible in real time through well-documented APIs, analytics-ready data lakes, and pre-built connectors.

This flexibility is essential for AI enablement, ecosystem integrations, and empowering internal teams to move faster.

Differentiating Between Mature and “Rented Server” Clouds

If you’re evaluating or renewing a core platform today, you need to go deeper than buzzwords. Ask the hard questions:

● How often do upgrades occur?

● Is there system interruption during upgrades?

● Can I get an evaluation license?

● Does it scale automatically when demand increases?

● Are uptime numbers published?

If the answer to any of these questions is no, it’s not cloud-native. It’s legacy—just repackaged.

Cloud Is Still a Strategic Inflection Point

Insurance is becoming a real-time industry. Embedded products, parametric claims, instant underwriting, and AI-powered services demand platforms that can keep pace. That means having platforms that update weekly without downtime, scale without human intervention, and treat data as a utility, not a hostage.

The insurance industry has made tremendous progress in embracing digital transformation. But we’ve reached the limits of what “lift-and-shift” can offer. What’s needed now is a shift in mindset—from “move it to the cloud” to “run it as a cloud service.”

Executives need to treat core platforms the way the best companies treat software: as infrastructure that should never slow you down. That means:

● Requiring automatic and seamless upgrades

● Embracing autoscaling and high availability by design

● Breaking free from architectures that trap data and freeze innovation

Cloud isn’t just a hosting decision. It’s a strategic decision that builds the foundation for future agility, innovation, and resilience.

About Sonny Patel

Sonny Patel is the Chief Product and Technology Officer at Socotra, where she leads the Product and Engineering teams and owns and executes on Socotra’s product strategy. She is a recognized thought leader in AI with over 20 years of experience building and launching products at Fortune 500 companies. Prior to Socotra, Sonny was an integral leader at Dell, Microsoft, Amazon, and LivePerson. She holds an MBA in Strategy & Entrepreneurship from the Haas School of Business at the University of California, Berkeley and a Master’s in Computer Science from Texas A&M University