Scaling Secure Multi-Cloud Connectivity for a High-Growth Graphic Design Platform
Summary
This global graphic design platform partners with Graphiant to simplify and scale its multi-cloud network as it expands worldwide and introduces AI capabilities. After completing a pilot in just one month and fully deploying within six months, the company gained secure, high-speed private connectivity between public clouds and extended that connectivity to a neo-cloud environment for AI workloads. Graphiant helps reduce cloud egress costs by about 60%, achieving more than 70% overall cost savings, accelerating global expansion, and cutting post-acquisition network integration time from 4–6 months down to just 1–2 days, without adding operational complexity.
Customer Overview
The Customer is a global graphic design platform serving millions of users worldwide. Supporting a large and highly distributed user base requires a performant, highly available network capable of handling massive volumes of application traffic across regions.
To ensure resilience and flexibility, the Customer operates a multi-cloud environment, leveraging multiple public cloud providers for different capabilities and redundancy. In addition, the platform incorporates AI-driven features to deliver enhanced value to users, introducing new infrastructure and connectivity requirements as those capabilities continue to evolve.
As the business scaled globally, the Customer needed a connectivity solution that could deliver high-throughput, private connectivity across clouds while supporting rapid expansion without introducing operational complexity or long deployment timelines.
Key Values Delivered
- High-Throughput, Secure Connectivity: Graphiant gateways provided private, high-capacity connectivity of up to 100 Gbps between cloud providers,delivering the performance, reliability, and security required to support large-scale global application traffic.
- Operational Simplicity: Graphiant’s consumption-based networking model eliminated the need to deploy and manage hardware, significantly reducing operational overhead, lead times, and day-to-day network complexity.
- Global Scalability: Graphiant enabled rapid expansion into new regions and cloud environments, allowing the Customer to bring up connectivity across continents, without infrastructure redesign or long provisioning cycles
- Cost Efficiency: By using Graphiant’s private connectivity to the cloud, the Customer reduced egress costs by approximately 60% and avoided the need for additional cloud networking services such as NAT gateways and firewalls.
- Neo-Cloud Enablement for AI Workloads: Graphiant enabled seamless extension of the Customer’s existing network into a neo-cloud environment, allowing AI training workloads to securely access data across multiple public clouds using the same connectivity model, interfaces, and operational workflows — contributing to over 70% cost savings while avoiding additional infrastructure complexity.
- Simplified B2B Connectivity for Acquisitions: Graphiant’s data exchange capabilities allowed the Customer to establish secure connectivity with an acquired company, automatically handling overlapping address spaces and eliminating the complexity typically associated with multi-network integration — reducing a process that would typically take 4–6 months down to just 1–2 days.
Building a Resilient Multi-Cloud Foundation
From the beginning, the Customer’s cloud strategy was intentionally multi-cloud. Different providers offer different strengths, and redundancy across clouds was essential to support a globally available application used by millions of people. However, as traffic volumes increased, the lack of direct connectivity between cloud environments became increasingly noticeable.
Without private inter-cloud connectivity, the team had limited control over performance, flexibility, and costs. Moving data between clouds required workarounds that added complexity and introduced inefficiencies. This approach would not scale alongside usergrowth.
By introducing Graphiant, the Customer was able to establish direct, private connectivity between cloud providers for the first time. This provided reliability, low-latency, and high throughput,all while enjoying a meaningful cost benefit. Traffic moved predictably, performance stabilized, and connectivity no longer depended on the public internet. Just as importantly, the network could support continued growth without requiring architectural compromises.
Scaling Globally Without Operational Overhead
As the platform expanded into new regions, speed mattered. Launching in a new geography was a priority for the Customer, which previously meant coordinating infrastructure, waiting on provisioning timelines, and carefully sequencing deployments to avoid service disruption. These efforts often stretched deployment timelines into weeks or months, slowing expansion and pulling engineering teams away from core product initiatives.
With Graphiant delivered as a service, regional expansion became far more straightforward. After initially deploying in a single North American region, the team was able to bring up connectivity in Europe and Asia-Pacific without hardware deployments or lengthy lead times, reducing what had traditionally been multi-month deployment efforts to completed deployment in days. Capacity upgrades no longer require advance planning months in advance; as traffic increases, the team simply scales capacity as needed.
Scaling globally while maintaining operational efficiency is an ongoing challenge for companies. The Customer, like many businesses, was familiar with solutions provided by many entities like the cloud providers themselves (AWS, GCP, OCI, Azure), as well as intermediate providers who can provide individual ports for clouds (Equinix,AT&T, Verizon, etc). However, not all companies understand the nuance of such friction, and assume that merely switching from a Cloud internet exitpoint to a private port is all that is required. The Customer was highly sophisticated in knowing that there are immense savings on private connections(on average 60%), but those can turn into operational costs where costs are adding up on managing, deploying and maintaining services. Their analysis allowed them to verify that Graphiant could provide private connectivity (that delivers the high-cost reduction on data egress from the cloud) and deliver on fully operational network functions with Policy, Security, and Encryption that integrates the rest of the network. This is why a Graphiant service is more than just a price differentiator. It dramatically altered the operational margins for the Customer.
This shift has removed friction from growth; instead of treating network expansion as a major project, it has become a routine operational task, allowing teams to focus on application performance and user experience rather than infrastructure logistics.
Extending Connectivity to Support AI and New Workloads
As AI-driven features became a larger part of the platform’s roadmap, new infrastructure requirements emerged.Training AI models required access to large datasets stored across existing cloud environments, as well as connectivity to a neo-cloud provider optimized for these workloads.
Rather than introducing a separate networking solution, the Customer extended their existing Graphiant deployment to include the neo-cloud environment. The team is now able to manage AI connectivity using the same tools, workflows, and visibility they already relied on without re-architecting the network.
This continuity means that the Customer did not need to migrate or duplicate their existing data into the neo-cloud. Their core datasets remain in their original public cloud environments, while AI workloads run in the neo-cloud optimized for training. Graphiant’s secure connectivity between these environments allows workloads to access data directly where it resides. This approach preserves governance, avoids unnecessary data movement costs, and keeps operational complexity contained—even as the architecture continues to evolve.
Maintaining Segmentation and Enabling Secure B2B Connectivity
Maintaining clear separation between development, staging, and production environments is a core operational and compliance requirement for the Customer. As the network expanded across clouds and regions, preserving this segmentation became increasingly important and increasingly difficult.
Graphiant’s segmentation capabilities have enabled the team to enforce consistent, policy-driven isolation across all environments, including multiple public cloud providers and the neo-cloudplatform supporting AI workloads. By extending segmentation natively across cloud boundaries, the Customer maintains strict separation between production,development, and AI environments without relying on complex, cloud-specific networking constructs. This unified approach ensures that as the environment expands across providers and regions, governance controls, security policies,and compliance requirements remain consistently enforced without introducing operational overhead or architectural drift.
This was especially valuable following the acquisition of another company with significant AI infrastructure. Historically, connecting two independent networks would require complex planning, manual address reconciliation, and limited traffic flow visibility during and after integration.
Using Graphiant’s B2B data exchange capabilities, the Customer was able to establish connectivity quickly and securely. Overlapping address spaces were handled automatically, and traffic between the two environments became immediately visible and manageable. Graphiant dramatically simplified what is typically one of the most time-consuming and error-prone aspects of post-acquisition integration.
The Graphiant Advantage
For high-growth SaaS platforms operating at global scale, Graphiant delivers a flexible networking platform that adapts as requirements evolve.
Starting with a simple multi-cloud connectivity use case, the Customer expanded their deployment to support additional regions, segmented environments, AI workloads,and secure connectivity following an acquisition all without changing platforms or increasing operational complexity.
Graphiantenables the Customer to scale performance, security, and innovation in step with the business, demonstrating the platform’s ability to grow alongside even the most demanding global applications.
