PRODUCTION SAFETY / LINUX RUNTIME RESILIENCE

Stop Wasting GPU Tokens. Prevent Long-Running AI Workloads From Crashing.

FaultPlane explores runtime resilience for long-running AI workloads. Its architecture focuses on Go-based runtime control, Linux infrastructure signals, eBPF integration, and configurable recovery policies at the transport boundary. Inspect the implementation and validate recovery behaviour with controlled failure scenarios and reproducible benchmarks.

Open Failure LabRead the Quickstart
FAULTPLANE / QUICKSTART
$ git clone https://github.com/devloperdevesh/FaultPlane.git
$ cd FaultPlane
$ go build ./...
Open Quickstart
Open sourceLinuxeBPFGoObservable
FaultPlane runtime architecture visualization
AI WORKLOADACTIVE
FAULTPLANE RUNTIMEREADY
RECOVERY PATHARMED
SIGNAL FLOW
FAILOVER LATENCY
Benchmark pendingMeasurement not yet published
CPU OVERHEAD
Benchmark pendingMeasurement not yet published
BUILT FOR THE RUNTIME
OPEN SOURCELINUXeBPFGOOPENTELEMETRYPROMETHEUS
THE PROBLEM

Infrastructure can fail
underneath a running workload.

AI workloads can run for minutes, hours, or days. When network, workers, resources, or kernel conditions change, recovery needs to become part of the runtime rather than an afterthought.

01

Network degradation

Infrastructure conditions can change underneath a running workload.

02

Worker instability

Long-running workers need explicit runtime state when conditions degrade.

03

Resource pressure

CPU and memory pressure can become operational failure signals.

04

Kernel signals

Low-level system events can provide earlier signals than application symptoms.

WHY FAULTPLANE

Observability tells you
what happened.

FaultPlane is built around the next step: turn infrastructure signals into explicit runtime state, select a policy, and execute a recovery action.

CONTROL LOOP
SignalStatePolicyRecovery
Explicit state. Configured policy. Observable outcome.
HOW IT WORKS

One control loop from signal to recovery.

FaultPlane connects infrastructure signals, runtime state, resilience policy, enforcement, recovery, and telemetry.

01

SIGNAL

Observe infrastructure and workload conditions.

02

STATE

Turn signals into explicit runtime state.

03

POLICY

Select the configured resilience response.

04

ENFORCE

Apply the selected runtime action.

05

RECOVER

Track the resulting runtime state.

06

TELEMETRY

Expose metrics, logs, and events.

RUNTIME, VISUALIZED

See how infrastructure signals become recovery decisions.

Follow the path from infrastructure signals to runtime state, policy decisions and recovery. One control-loop view, with each layer explained.

01 / CONTROL LOOPCONTROL LOOP
FaultPlane control loop visualization

From signal to recovery

A runtime control loop designed around explicit state and observable recovery behaviour.

02 / RUNTIMERUNTIME LAYER
FaultPlane runtime core visualization

Runtime control

Recovery logic stays close to the infrastructure conditions that trigger it.

03 / INFRASTRUCTURESIGNALS
FaultPlane infrastructure topology

Infrastructure signals

Linux, eBPF, runtime events and telemetry feed the resilience loop.

RUNTIME BOUNDARY

Built close to the signals that matter.

FaultPlane sits between workload behaviour and the infrastructure signals that can change underneath it.

AI WORKLOADFAULTPLANELINUX / eBPFTELEMETRY
FaultPlane runtime infrastructure visualization
SEE IT WORK

Trigger a problem. Watch the runtime respond.

Run the interactive Failure Lab and follow the control loop from signal detection to recovery.

Open Failure Lab
FAULTPLANE / FAILURE LABSIMULATION
01SignalInfrastructure condition
02StateRuntime condition
03PolicyAction selected
04RecoveryRuntime restored
BUILT AT THE RUNTIME BOUNDARY

Close to the signals that matter.

FaultPlane is designed to connect workload state with low-level infrastructure signals and observable recovery actions.

01
AI workloadLong-running agents, services, and AI workloads.
02
FaultPlane runtimeRuntime state, policy evaluation, and recovery logic.
03
Policy and enforcementConfigured actions and runtime enforcement.
04
Linux / eBPFKernel and low-level infrastructure signals.
05
TelemetryMetrics, logs, traces, and runtime events.
Explore the full architecture
THE COST OF FAILURE

Put an estimate on downtime.

Model the potential monthly impact of interruptions in your own workload. Adjust the assumptions to match your environment.

ESTIMATED MONTHLY IMPACT
$4,000

4 incidents × 2 hours × $500 per hour.

Illustrative estimate based on your inputs—not measured FaultPlane savings or a guarantee of avoided loss.
Explore the runtime
FAILURE → RESPONSE

See the resilience control loop.

An illustrative walkthrough of the concepts behind FaultPlane. This animation is not a live production connection or benchmark.

FAULTPLANE / CONCEPTUAL WALKTHROUGH ANIMATED DEMO
01

Workload running

Requests are being processed.

→
02

Failure signal

An infrastructure issue is observed.

→
03

Policy evaluation

A configured response is selected.

→
04

Recovery path

The runtime can track the response.

Intended flow: observe a signal → represent runtime state → select policy → inspect the response.Open Failure Lab
RUNTIME EVIDENCE

Measure the runtime. Publish the numbers.

FaultPlane should be evaluated with reproducible measurements. This section is intentionally reserved for real benchmark results rather than marketing claims.

01Failure Detection Latency

Target TBD

Benchmark validation pending
02Transport Recovery Duration

Target TBD

Benchmark validation pending
03Host CPU Overhead

Target TBD

Benchmark validation pending
04Memory Footprint

Target TBD

Benchmark validation pending
05Recovery Success Rate

Target TBD

Benchmark validation pending
PRICING & ROADMAP

Open source today. Commercial options shaped by real demand.

Start with the public repository. Hosted and enterprise offerings are proposed roadmap items, not currently available paid products.

AVAILABLE

Self-Hosted Core

Free

Explore the open-source project and evaluate it in your own development environment.

  • Public source repository
  • Self-hosted evaluation
  • Community contributions
  • No paid plan required to view the code
View on GitHub
PROPOSED

Managed Cloud Hub

Planned

A potential hosted control and management experience for teams seeking simpler operations.

  • Hosted management workflow — proposed
  • Deployment and upgrade experience — to be validated
  • Usage-based billing — under consideration
  • No published rates or live service yet
Help shape the roadmap
PILOT DISCUSSION

Enterprise

Discuss a pilot

Explore potential organization-level requirements directly with the project team. Scope depends on validation and feasibility.

  • Use-case and architecture discussion
  • Potential integrations assessed case by case
  • Security and operational requirements to be reviewed
  • No current SLA or compliance certification claimed
Explore commercial roadmap

Transparency note: only the public repository is presented as available. Managed cloud features, usage pricing and enterprise capabilities remain proposed and may change as the project evolves.

FOR DEVELOPERS

Run it. Inspect it. Change it.

FaultPlane is open source. Clone the repository, build the runtime, run controlled failure scenarios, and inspect the implementation yourself.

QuickstartView source
TERMINALLOCAL
git clone https://github.com/devloperdevesh/FaultPlane.git

cd FaultPlane

go build ./...

go run ./cmd/daemon
FOR TEAMS

Build resilience into the runtime.

For teams operating long-running workloads, FaultPlane provides a foundation for explicit resilience policies, runtime enforcement, and operational visibility.

Runtime resilience policies
Infrastructure signal handling
Recovery and enforcement controls
Observable runtime behaviour
Explore team capabilities
START WITH THE RUNTIME

Keep the workload running.

Explore the Failure Lab, run FaultPlane locally, or inspect the source.

Run Failure LabQuickstartGitHub