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Provisioning, placement, scaling, and lifecycle management for workloads that need to operate as a coordinated fleet rather than a collection of individual servers.
Orchestration is the layer that decides where your workloads run, when they scale, how they recover from failure, and how they are deployed, updated, and retired across your infrastructure.
Without orchestration, your team manages every server and container individually. With it, you define the rules and the platform enforces them continuously: placing workloads on the right nodes, scaling capacity to match demand, replacing failed instances, and rolling out updates without downtime. The other infrastructure pages describe what runs. This page describes how it’s coordinated.
Kubernetes-based orchestration for containerised workloads. Automated scheduling, scaling, self-healing, and rolling deployments across your node fleet. Think Huge provisions and manages the underlying node infrastructure. You bring your container workloads and define how they should behave.
Define where workloads are allowed to run based on region, hardware profile, failure domain, or proximity to dependent services. Placement is enforced automatically at scheduling time. A workload that must run in Frankfurt will never be scheduled onto a node in Chicago.
Updates are applied incrementally across your fleet. A subset of instances is updated, validated, and confirmed healthy before the next subset begins. If a deployment fails validation, it is halted and rolled back automatically.
A complete parallel environment is provisioned with the new version. Traffic is switched from the old environment to the new one in a single operation. The old environment remains available for immediate rollback if needed.
A new version is deployed to a small percentage of traffic first. Performance and error rates are monitored against the existing version. If the canary performs within defined thresholds, the rollout continues. If it does not, traffic is reverted.
Every deployment maintains a rollback path to the previous known-good state. Rollback is a single operation, not a manual rebuild.
Orchestrated workloads are continuously monitored for health. Instances that fail health checks are automatically restarted or replaced depending on the policy you define.
When an instance is scaled down, updated, or decommissioned, it receives a shutdown signal and is given a defined window to drain connections and complete in-flight work before termination.
Each workload operates within defined CPU, memory, and storage limits. A workload that exceeds its allocation is constrained rather than allowed to consume resources from adjacent workloads.
Orchestration events (scheduling decisions, scaling actions, failures, recoveries, deployments) are logged and available for operational review and incident investigation.
End-user compute, orchestrating the provisioning and lifecycle of per-user instances at fleet scale. Platform and application servers, coordinating placement, scaling, and updates across your backend server estate. GPU and accelerated compute, scheduling and managing GPU workloads across available accelerated nodes. Networking and connectivity, ensuring orchestrated workloads are placed with awareness of network topology and latency requirements. Monitoring and disaster recovery, providing the event stream and health data that underpin observability and continuity planning.
Your application’s internal logic or business rules. CI/CD pipelines or build systems. These remain your domain. Orchestration operates the infrastructure your deployments land on, not the process that produces them.