Four features. One topology graph. One operating model. Kubernetes at the centre — as the universal control plane for infrastructure, workloads, ML jobs, IoT fleets, and DR orchestration.
The engineer-facing surface sits at the top. Four features operate underneath — all Kubernetes-native, all reading from and writing to a shared topology graph. The telemetry backbone flows across all features into the observability store.
Infrastructure state is the ground truth for every other feature. FalconIO makes it explicit, versioned, continuously reconciled, and policy-enforced. The Internal Developer Platform sits in front of a hybrid provisioning engine — engineers self-serve through a policy-enforced catalogue while the platform team maintains a single source of truth across every cloud and cluster.
Crossplane handles Kubernetes-native self-service and continuous drift reconciliation. Pulumi handles code-first complex provisioning, bootstrap operations, and BC/DR failover execution. Each does what the other cannot. Together they deliver infrastructure that is developer-friendly, drift-free, and fully tested before it ships.
Observability in FalconIO is the intelligence layer every other feature reads from. BC/DR trigger thresholds are derived from live telemetry. Autoscaling decisions are informed by ClickHouse long-term analytics. Incident tickets are created with observability snapshots already attached.
VictoriaMetrics handles your operational hot path. ClickHouse handles your analytical depth — trace storage, resource utilisation modelling, and cross-signal correlation. They are complementary, not redundant.
Most organisations have a DR document. FalconIO replaces it with BC Manifests — versioned, topology-aware resilience declarations that execute via Pulumi, measure actual recovery against declared targets, and feed the incident management feature with context the moment a BC event is triggered.
Polyglot persistence — ScyllaDB, CockroachDB, Redpanda — breaks every standard DR template. BC Manifests model your actual dependency graph, not a generic template.
Incident management in FalconIO is not a webhook to Jira. It is a native module that understands infrastructure topology, observability state, and BC Manifests — because incident context is platform intelligence, not a text field an engineer fills in while a system is down.
Every event type — outage, DR activation, IDP provisioning, change management, bug, post-mortem — flows through one queue. The most expensive minutes of any incident are the first ones. When context is auto-attached, those minutes collapse.