Leading SaaS Provider Adopts Aviatrix for Multi-Cloud Readiness and Increased Customer Satisfaction
Customer Company Size
Large Corporate
Country
- Worldwide
Product
- Aviatrix Cloud Network Platform
- Aviatrix Controller
- Aviatrix AMI
Tech Stack
- Cloud Service Providers (CSPs)
- CloudFormation
- Terraform automation
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
- Cost Savings
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
- Infrastructure as a Service (IaaS) - Cloud Computing
- Infrastructure as a Service (IaaS) - Hybrid Cloud
Applicable Industries
- Software
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Cloud Planning, Design & Implementation Services
- System Integration
- Testing & Certification
About The Customer
The SaaS provider in this case study is in the business of using advanced artificial intelligence on customer data to provide actionable business insights that will help its users maximize revenue and has customers around the globe. With their eyes on the future, the company shifted its operations from on-prem to a single Cloud Service Provider (CSP). Eventually they were faced with the inevitable: end customers who required the service be delivered on the CSP platform of the customer’s choice. The SaaS provider’s business leadership demanded multi-cloud agility. Customers needed to be serviced quickly and consistently in a rapidly changing space, or the SaaS provide risked losing millions of dollars in net new revenue.
The Challenge
The SaaS provider was faced with the challenge of meeting the demand for multi-cloud service delivery, which caused an exponential rise in complexity to utilize native cloud constructs in an additional cloud. This resulted in re-training of staff, and business requirements that further reduced the agility of the SaaS provider’s cloud IT teams. On-boarding just a single additional CSP resulted in inconsistent network architecture and created inefficient operations as much of the existing automation needed to be refactored for the new CSP environment. The SaaS provider wanted to create a service delivery infrastructure strategy that would provide the best possible end customer experience with the simplest and most consistent infrastructure operations, scale to their growth targets while ensuring security, financial, and reputational risks were minimized.
The Solution
The SaaS provider adopted a simplified multi-cloud strategy with Aviatrix that is capable of on-boarding new Cloud Service Providers (CSPs) within a day, and intelligently programs the native network constructs across all clouds. This has reduced time-to-market by transforming from a single to a multi-cloud network and security architecture that supports the agility and security required to operate mission critical applications. The SaaS provider now automates the on-boarding of new customers, provisioning secure VPNs and resolving any overlapping IP issues for end customers in days instead of weeks. The SaaS provider is now scaling their multi-cloud environment, confident in the Aviatrix Controller’s ability to intelligently manage network correctness, resulting in reliable end-to-end connectivity as it was initially intended.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
Case Study
Achieving near limitless scalability and flexibility with data in the cloud
Web-based publishing platform SpaceCraft found that as its client base grew, it was spending an increasing amount of time managing its databases, distracting its focus from product innovation. As its user base rapidly expanded, data volumes at SpaceCraft began to rise dramatically. Along with their main focus on maintaining and further developing a great platform for web publishing, the SpaceCraft team had the added pressure of managing the increasing quantities of data while ensuring ongoing high performance for clients.
Case Study
nViso SA – Delivers emotion recognition solutions worldwide with a scalable SoftLayer hosting solution
nViso SA, a company that provides emotion recognition solutions, was in need of a high-performance cloud hosting infrastructure. The company wanted to extend its services to a global customer base. The challenge was to find a solution that could handle the demands of their growing customer base and the need for high performance and reliability.
