6.1 Deployment Options
When adopting the Orbit platform, organizations have several deployment options to choose from, depending on their infrastructure preferences and specific needs. Whether you prefer a fully cloud-based solution, on-premise deployment, or a hybrid approach, Orbit offers flexible options to meet your requirements.
1. SaaS Deployment on AWS
Currently, the SaaS version of the Orbit platform is deployed on Amazon Web Services (AWS). This option provides a fully managed, cloud-based solution that leverages the scalability, reliability, and security of AWS.
Benefits of AWS Deployment:
Scalability: Easily handle increasing workloads as your use of the platform grows.
Reliability: AWS’s robust infrastructure ensures high availability and minimal downtime.
Security: Benefit from AWS’s advanced security features, which protect data and applications against threats.
This deployment option is ideal for organizations looking for a hassle-free, scalable solution without the need to manage their own infrastructure.
2. Custom Deployment: Cloud or On-Premise
For organizations that require more control over their deployment environment, Orbit AI Studio can be deployed on any cloud platform or in on-premise environments. This flexibility allows you to align the deployment with your existing infrastructure and compliance requirements.
Cloud Deployment: In addition to AWS, we are soon launching an Azure-native version of the platform, allowing deployment on Microsoft Azure. This option is perfect for organizations that already utilize Azure for their cloud services.
On-Premise Deployment: Orbit AI Studio can also be deployed within your own data centers. This is an ideal choice for organizations with strict data sovereignty, compliance, or security requirements.
Advantages of Custom Deployment:
Flexibility: Choose the deployment environment that best aligns with your IT strategy.
Control: Maintain full control over your data and the application environment.
Compliance: Ensure compliance with internal and external regulations by hosting the platform in your preferred environment.
3. Hybrid Deployment: API Access to Knowledge Bases
While deploying the Orbit application on your preferred environment is straightforward, migrating Orbit’s extensive pre-built knowledge bases can be a complex and expensive exercise. To balance the benefits of custom deployment with the need for seamless access to data, we recommend a hybrid deployment approach.
Hybrid Deployment: In this setup, the Orbit AI Studio is deployed in your chosen environment (cloud or on-premise), while access to Orbit’s pre-built knowledge bases is maintained via APIs.
Benefits of Hybrid Deployment:
Cost-Effective: Avoid the high costs associated with migrating large data sets.
Seamless Integration: Access comprehensive data without the need to host it all internally.
Flexibility: Combine the best of both worlds—custom application deployment with easy access to vast knowledge bases.
Hybrid deployment is a strategic approach that offers the flexibility of custom deployments while leveraging the rich data and insights provided by Orbit’s pre-built knowledge bases.
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