antsle Private Cloud

Open your console, click New, and your next environment is live in minutes. With antMan you spin up antlets (VMs) or containers, assign CPU/RAM, pick a template or ISO, and boot. Use this for a cyber range, a DevOps sandbox, or a small edge site: capture a baseline, run tests, then roll back without fuss. Before a risky patch, take a snapshot; if something breaks, revert or clone and compare. Build your own golden images so every team gets the same clean starting point, versioned and ready for repeatable deployments.

Networking takes a few guided steps instead of a change window. Attach virtual NICs, tag VLANs, and set NAT rules to expose services with targeted port forwarding. Keep teams or tenants isolated while giving each service exactly the access it needs. Because edgeLinux runs both VMs and bare-metal containers on the same host, you can tighten consolidation: place persistent databases in antlets and pair them with lightweight containers for stateless services. Manage everything from the same UI, so you don’t juggle multiple tools.

If you prefer code over clicks, drive the platform with the OpenAPI-based REST endpoints or Terraform. Define antlets, networks, and templates as code, commit them to Git, and let your CI/CD pipeline bring up and tear down environments on demand. Tag resources for cost tracking or lifecycle policies, schedule backups, and set retention rules. Store backups on your own infrastructure or in Antsle Cloud, and when you need to recover, restore to the original host or move an antlet to another server with a single action. This makes disaster recovery tests routine instead of rare: run them quarterly, measure time-to-restore, and improve.

Growth is straightforward: add nodes to increase CPU, memory, and disk, then distribute workloads and balance traffic. Use templates to stamp out identical stacks on new hardware, keep snapshots in sync, and perform rolling updates across sites. For edge deployments, stage an update in a cloned antlet, switch over with port rules, and keep the old version on standby in case you need a quick rollback. Whether you’re operating a lab, a staging fleet, or a production edge footprint, the workflow stays the same—fast to provision, simple to automate, and easy to scale.