
Overview
Control Plane's wormhole technology enables your workloads to securely connect to endpoints within VPCs and other private networks. Deploying an agent EC2 instance within the VPC establishes a secure, persistent connection to the Control Plane network fabric. This agent is responsible for tunneling requests from your workloads to precisely intended hosts and ports within your VPC, and conveying the responses, accordingly. This technology offers seamless integration and optimal performance ensuring a transparent and efficient operation for your workloads.
Highlights
- Secure workload connections to private endpoints within VPCs
- Seamless operations through effective request and response tunneling
- Traverse network boundaries securely and cost effectively
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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Control Plane's wormhole technology is available free of charge
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Version 2570854642-a420b587-amd64
Additional details
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Support
Vendor support
Control Plane also provides technical documentation. For any issues, please contact us using support@controlplane.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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It also gives us a lot more flexibility around where workloads run and how they scale. We can optimise for performance, availability or cost depending on the workload, and react quickly when demand changes. That helps us cut infrastructure spend and avoids needing a large platform team just to manage cloud plumbing.
In practice, we get better reliability and scalability, while the engineering team spends more time building the product instead of maintaining infrastructure.