Single Tenant Infrastructure with Google Cloud

The specific benefits of Gr4vy’s Cloud single tenancy refer to a deployment model in which a single customer is the sole user of a dedicated instance of a cloud service, separate from other customers. This deployment model can help solve data localization issues by providing customers with complete control and isolation over their data, including where it is stored, processed, and transmitted. In this way, customers can ensure that their data remains within the geographical jurisdiction they require and comply with data privacy and protection regulations, such as GDPR and HIPAA.

This deployment model offers several advantages, such as increased security, performance, and customization.

In general, single-tenant infrastructure can be beneficial for organizations that require a high level of control and isolation over their data and applications or for those that need to comply with strict security and privacy regulations. 

Gr4vy is a payments orchestration platform that allows you to make payments and manage your business. It helps you to mix and match different payment providers, customize the checkout experience, route and configure connections, manage fraud, have a dashboard to control transactions, offer regional payment options, store data as you wish, have a compliant single-tenant infrastructure, and optimize your payment solution.

The specific benefits of Gr4vy’s Cloud single tenancy refer to a deployment model in which a single customer is the sole user of a dedicated instance of a cloud service, separate from other customers. This deployment model can help solve data localization issues by providing customers with complete control and isolation over their data, including where it is stored, processed, and transmitted. In this way, customers can ensure that their data remains within the geographical jurisdiction they require and comply with data privacy and protection regulations, such as GDPR and HIPAA.

This deployment model offers several advantages, such as increased security, performance, and customization. In general, single-tenant infrastructure can be beneficial for organizations that require a high level of control and isolation over their data and applications or for those that need to comply with strict security and privacy regulations.

Google Cloud Platform (GCP) operates globally, with data centers and network points of presence in multiple regions worldwide. GCP operates in regions such as the Americas, Europe, Asia Pacific, Middle East, and Africa. 

Gr4vy uses Google Cloud Platform (GCP).  GCP implements various measures such as data residency, data protection, and compliance certifications meaning Gr4vy can work with you to satisfy data residency options where customers can store their data in specific geographical locations to meet data localization requirements. 

Additionally, GCP adheres to international security and privacy standards, such as ISO 27001 and SOC, and also offers services such as Cloud Key Management Service (KMS) to encrypt sensitive data. GCP works closely with local organizations and regulatory bodies to ensure compliance with local regulations and continues to evaluate and update its policies and practices as regulations evolve.

Single Tenancy vs. Saas Infrastructure

Single tenancy in cloud computing refers to a model where each customer or tenant has their own dedicated infrastructure, resources, and software instance, which is isolated from other tenants. On the other hand, SaaS (Software as a Service) is a model where multiple tenants share the same infrastructure and software instance.

Single tenancy in cloud computing can help prevent single points of failure compared to SaaS because:

Isolation: Single tenancy ensures that each tenant’s application, data, and resources are isolated from other tenants. This isolation helps prevent issues that affect one tenant from affecting other tenants. For example, if one tenant’s application crashes, it won’t affect other tenants.

Customization: Single tenancy allows each tenant to customize their application and infrastructure to their specific needs. This flexibility can help prevent issues that occur due to differences in requirements between tenants.

Control: With a single tenancy, tenants have more control over their application and infrastructure. This control allows them to take measures to prevent issues, such as scaling up or down resources as needed and implementing security measures and backups.

In contrast, in a SaaS model, multiple tenants share the same infrastructure and software instance, making it more vulnerable to a single point of failure. If the infrastructure or software instance fails, it can affect all tenants using that instance. Additionally, SaaS may not offer the same level of customization and control as single tenancy, limiting a tenant’s ability to prevent issues or recover from them quickly.

Multiple cloud instances can help prevent downtime in a few different ways:

High availability: Multiple cloud instances can be configured to provide high availability. This means that if one instance fails or goes offline, the workload can be automatically and seamlessly shifted to another instance, minimizing downtime.

Load balancing: Multiple cloud instances can be used to distribute workloads across the instances using load balancing. If one instance becomes overloaded or experiences issues, the workload can be automatically redistributed to other instances, reducing the risk of downtime.

Geographical redundancy: Multiple cloud instances can be deployed in different geographic locations, providing redundancy in case of regional outages or disasters. By distributing instances across multiple regions or availability zones, organizations can minimize the risk of downtime due to regional events.

Rolling updates: Multiple cloud instances can be updated or patched in a rolling fashion, one at a time, while the remaining instances continue to provide service. This can help prevent downtime due to software updates or maintenance.

Overall, the use of multiple cloud instances can provide redundancy, load balancing, and other benefits that can help prevent downtime and ensure high availability for critical workloads. However, it’s important to note that implementing multiple instances must be done properly, with appropriate redundancy and load balancing configurations, to ensure that they effectively prevent downtime.

Cloud infrastructure can be more cost-effective than SaaS-based infrastructure for several reasons:

Pay-per-use pricing: Cloud infrastructure providers typically offer a pay-per-use pricing model, meaning that customers only pay for the resources they use. This can be more cost-effective than SaaS-based infrastructure, where customers pay a flat fee for a set amount of resources, regardless of whether they use them all or not.

Scalability: Cloud infrastructure can be more scalable than SaaS-based infrastructure, allowing customers to scale up or down their resources as needed easily. This means that customers only need to pay for the resources they actually use rather than overprovisioning resources to handle potential spikes in demand.

Customization: Cloud infrastructure allows customers to customize their infrastructure to their specific needs. This means that customers can choose the specific resources they need, such as the type of storage or computing power, and only pay for those resources rather than paying for a pre-packaged set of resources they may not need.

Avoiding vendor lock-in: SaaS-based infrastructure often involves vendor lock-in, where customers are tied to a specific vendor and cannot easily switch to another vendor if their needs change. With cloud infrastructure, customers have more flexibility to switch providers and avoid vendor lock-in, which can help drive competition and reduce costs.

Overall, cloud infrastructure can be more cost-effective than SaaS-based infrastructure due to its pay-per-use pricing, scalability, customization, and avoidance of vendor lock-in. However, the specific cost-effectiveness of cloud infrastructure depends on factors such as workload demands, resource usage, and provider pricing.

If you’re ready to explore how an IaaS payment orchestration can support your payment strategy and future-proof your checkout, get in touch with our team for a full consultation with one of our experts.