AI TOOL PROFILE
Control Plane: Multi-Cloud Infrastructure Platform
- Software Development
- Cloud Infrastructure
- Software Companies
- Enterprise Companies
- Platform Engineers
- DevOps Teams
Pricing
Pricing is usage-based with no contracts, utilizing millicore CPU billing and GB-month storage. The vendor states typical workloads cost under $5 per month per location.
At a glance
- Best for
- Software Companies, Enterprise Companies, Platform Engineers, DevOps Teams
- Key use cases
- Multi-Cloud Microservices Scaling, Cloud Cost Management, Hybrid Cloud Infrastructure, Compliance-Focused Deployments
- Integrations
- Terraform, Pulumi, Helm, Cross Plane, CDK
- Official website
- Visit control plane official website
How AI is used
Control Plane is a virtual cloud platform designed for developers and platform engineers who run microservices across multiple cloud environments. It provides a layer that abstracts the complexities of AWS, GCP, and Azure, allowing teams to manage infrastructure through a single unified API.
The platform supports businesses that wish to avoid vendor lock-in by mixing services from different providers. It includes deployment options such as Managed Kubernetes (MK8s), Serverless compute, a 'Bring-your-own-K8s' (BYOK) model, and GPU pooling via GPU Ocean.
Buyers should confirm that the platform is designed for Linux-compatible workloads and requires containerization. While the vendor provides tools and services to help with this process, teams with non-containerized monolithic applications may need migration assistance to get started.
Key Features
Multi-cloud Deployment
Supports running workloads across AWS, GCP, Azure, and other providers such as Oracle or Linode.
Capacity AI
Analyzes historical usage to adjust CPU and RAM resources, which may help reduce compute costs.
Universal Cloud Identity
Allows workloads to access a combination of services from AWS, Azure, and GCP regardless of the workload's location.
Managed Kubernetes (MK8s)
Provides a singular API to deploy and monitor Kubernetes clusters across different cloud or on-premises infrastructure.
CPLN-Serverless
Offers Kubernetes-based compute without manual cluster management, including auto-scaling and geo-routing.
Cloud Wormhole
Supports secure consumption of private network resources not exposed to the internet, such as an RDS instance within a VPC.
Use Cases
Multi-Cloud Microservices Scaling
Deploying and scaling microservices across multiple cloud providers to support high availability and low latency.
Cloud Cost Management
Using AI-driven auto-scaling and millicore-based billing to align compute spend with resource usage.
Hybrid Cloud Infrastructure
Combining on-premises bare metal or virtual machines with public cloud resources under one management API.
Compliance-Focused Deployments
Running workloads on a platform that maintains PCI DSS Level 1 and SOC 2 Type II compliance.
Integrations
- Terraform
- Pulumi
- Helm
- Cross Plane
- CDK
FAQ
What is the pricing model for Control Plane?
- It uses a pay-per-usage model with no contracts, billing by millicore CPU and GB-month storage. Typical workloads may cost less than $5 per month per location.
Can I use my own cloud accounts with Control Plane?
- Yes, the platform supports running workloads in your own cloud accounts, in Control Plane accounts, or a combination of both, including on-premises environments.
Does Control Plane support non-containerized applications?
- Workloads must be containerized. Control Plane provides auto-containerization tools in its CLI and offers professional services to help containerize applications.
What is the uptime guarantee for the platform?
- Control Plane offers a 99.999% availability SLA, provided users adopt at least two replicas in at least two locations.
Source category: Software Development
Source subcategory: Cloud Infrastructure
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