Run your backend from
one dashboard.
Deploy, supervise, and monitor applications on supported Linux servers from one dashboard. Your runtime stays on infrastructure you control; selected operational and security data is reported to the hosted management plane.
When configured, send selected operational evidence to Slack, Teams, incident.io, GitHub, signed webhooks, or OpenTelemetry destinations. Delivery and retained history remain bounded by each integration and workspace configuration.
Start with the live demo
The demo walks through it step by step: connect a server, bring it online, check its logs and health, add security rules, and try the recovery controls. Pricing and docs are here too, but the product makes the most sense once you see it running on a real machine.
The published Professional plan includes 2 connected servers and 5 managed services. Additional connected servers are $89.99/month each and additional managed services are $69.99/month each. There is no setup fee and no published traffic, request, log, or security-event usage metering; signed orders may expressly differ.
See plan detailsEnroll a supported server. Coordinate configured services.
Enroll a supported Linux server through Trust Console and the customized infraveil.py flow. Then manage configured services and inspect bounded health, policy, and recovery evidence.
Install on your server
Use the scoped one-use enrollment capability on a supported Linux host. Your application runtime stays on your server.
Keep services running
Keep services healthy and restart them when needed.
Put security rules in front
Block bad traffic without changing your code.
Inspect selected evidence in one place
See health, activity, problems, and changes in one view.
Two small pieces. One clear picture.
On supported Linux servers, the current flow installs a launcher and agent for configured managed services. They report selected host, process, gateway, and security evidence; that reporting is not a complete account of each machine.
The hosted plane joins selected launcher, agent, gateway, and workspace reports. Each surface keeps its own scope and freshness, so missing or partial evidence is not presented as universal runtime truth.
Runs your services the way your config says, starts the agent, spots crash loops, and uses a cached copy if the connection drops.
Confirms the code is the right one, runs your services, checks their health, reports metrics, and restarts crashes within set limits.
Puts rate limits, honeypots, geo rules, and bad-traffic detection in front of your app, and acts on what it finds.
Turns what's happening on each server into incidents, status pages, a service list, recovery steps, and actions you can take.
One hosted plane. Scoped views.
The launcher and agent report selected runtime and security data to the hosted control plane. Deploy, policy, recovery, status, and audit views remain bounded by configuration, reachability, and retained evidence.
Inspect selected evidence in one place
Once your server connects, you can see what is running, what is healthy, and what needs attention.
Runtime, policy, telemetry, and recovery in one cockpit
Review selected workspace signals, current workload state, and the items that need operator attention.
42ms
184
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This page summarizes selected reported traffic, server health, and risk signals for the chosen workspace and time window. Missing evidence remains unavailable rather than becoming complete backend truth.
Active operational incidents
Correlate available health, release, request, and runtime evidence without presenting an inferred cause as proven.
1 launcher host degraded
Launcher runtime reported sync failures and a suspended agent after crash-loop protection engaged.
The incident is not guesswork. It is built from the launcher reporting its own sync failure count, cached agents, suspended agents, fetch failures, and process state, then combined with agent heartbeat and telemetry.
Customer-facing service status
Publish an operator-controlled view derived from configured service-health evidence and incident updates.
Degraded performance
Generated from launcher sync, agent heartbeat, runtime logs, request trace, and security events.
Workloads, ownership, runtime, and policy context
Inspect reported runtime, placement, ownership, contract identity, and configured health evidence for managed services.
payment-api
When something breaks, you shouldn't have to dig through a deploy page, a status page, a monitoring tool, and a spreadsheet to find out which service is affected. Infraveil already knows the agent, server, code version, and health.
Your deployed services
Inspect configured commands, runtime, placement, package state, and reported health. Updates remain subject to authentication and release approval.
| Identifier | Type | Status | Package Hash | Actions |
|---|---|---|---|---|
|
auth-api
Authentication & session management
|
Node API | Running |
a7f3c9d1...
|
|
|
payment-api
Payment processing & webhook handling
|
Node API + worker route | Running |
b2e8f4a6...
|
|
|
user-api
User management & profile operations
|
Rust service | Stopped |
c9d4e1f7...
|
|
|
webhook-processor
Async webhook queue processing
|
Python worker | Idle |
d1a5b8c3...
|
|
Configure a managed route to the service port, then inspect the reported gateway, process, and health evidence. External reachability, application correctness, and complete visibility remain separate.
Configured rate, geo, honeypot, and WAF controls can apply to managed gateway routes. They are not automatic for every deployment and do not cover bypass listeners or upstream volumetric protection.
Build monitoring stacks, target them to specific services or servers, and shape defense logic from the same workspace.
Enroll supported Linux servers
Use Trust Console, the customized infraveil.py installer, a one-use capability, and infraveil.json to enroll and describe managed services.
# Review infraveil.json before managing services
Security Policy
Inspect and configure origin-side application and gateway policy for managed routes. Infraveil-hosted public endpoints also use upstream provider layers, but that coverage does not transfer to customer workloads or protect gateway-bypass listeners.
Inspect pipeline decisions and outcomes
Review available volume, match, action, and latency evidence for configured monitoring pipelines.
Application output by workload and service
Search selected stdout, stderr, framework output, tracebacks, and process events; capture and retention remain bounded.
Reported logs retain the timestamps and scope available to the selected stream. Do not treat the log view as universally cryptographically chained, complete, or tamper-proof.
View the reported managed-server set or filter to a selected service. Stream color and timestamps aid correlation but do not prove completeness.
Search across all output or filter by log level. Export logs for external analysis.
Inspect managed-gateway requests
Review selected request timing, route, response, and policy evidence for traffic that traverses configured managed routes.
Expand a retained request to inspect the fields, response code, and timing available for that managed route. Capture and redaction depend on configuration.
Filter by path, method, status code, or latency. Search across captured traffic to find specific requests.
Blocked and rate-limited requests are clearly marked with the enforcement reason.
Review control-plane and runtime communication
Inspect available launcher, agent, command, acknowledgement, and synchronization records.
The agent sends regular heartbeats to api.infraveil.com to stay connected and report its health.
Configured origin-side policies, WAF rules, and geo controls can be pulled from the hosted management plane when the host is connected.
Security events, threat signals, and pipeline decisions are reported back for dashboard visibility.
Infraveil development guide
Review Trust Console enrollment, the infraveil.json runtime contract, routes, health checks, operations, recovery, and offboarding.
1. Secure Deployment
In managed-package mode, eligible source files may be materialized in the hosted plane, transferred over the configured secure channel, and checked against the approved package hash.
2. Checked Startup
Managed services follow the installed release's infraveil.json contract, configured health checks, routes, and bounded restart policy. Runtime and language support are not universal.
3. Real-Time Enforcement
Configured origin policy can sync to connected agents and apply to managed gateway routes. It does not scrub upstream volumetric attacks or cover bypass listeners.
Plan, capacity, and billing controls
Review published plan capacity and the path to manage billing. This illustration is not a customer invoice or payment record.
Review bounded remediation proposals
Available evidence may support a proposed action, not a guaranteed diagnosis. Application depends on permissions, package state, and the configured manual, exact-hash allowlist, or automatic approval mode.
Thread exit detected. Traceback sent to LLM layer (auth/proprietary code redacted by default).
Where the configured mode and available evidence permit, analysis may propose a bounded change; it does not guarantee the root cause or a correct fix.
Fix is presented with a precise description of what went wrong. You can ask questions in the discussion thread.
Manual, exact-hash allowlist, and automatic modes differ. Automatic mode does not preserve a practical per-release human veto.
server.js:47 — KeyError: 'user_id'.get('user_id', None) with explicit None handling, or add key existence check before access.When an agent or host goes offline, Infraveil reports the available state but does not provide replacement compute or guarantee automatic reprovisioning. Compatible cached material may delay some failures. Proposed changes remain subject to configured permissions, authentication, package mode, evidence, and release approval.
Account access, recovery, and workspace identity
Review profile details and configured TOTP, passkey, PIN-approval, and account-recovery controls.
Choose where workloads run
Set preferred servers, placement intent, and bounded failover or rebalance behavior for configured workloads.
Placement intent can coordinate preferred hosts, failover order, and recovery behavior. Execution remains bounded by reachability, package compatibility, health evidence, permissions, and configured policy.
Exercise a demonstration gateway surface
Send controlled sample requests and compare available response, policy, and request evidence. This panel is illustrative, not a production result.
Inspect launcher and agent controls
Reported sync, heartbeat, contract, process, and configured health evidence answer different questions. Exports can be partial or redacted.
Review server capacity diagnostics
Compare reported CPU, memory, disk, workload pressure, and missing evidence before making a placement decision.
Run the next API on edge-us-east. West is close to its safe limit.
Inspect runtime cache, fallback, and telemetry pressure
Compatible cached state may support bounded continuity. New policy, approvals, revocation, commands, and centralized visibility still wait for reconnection.
Services, health checks, and restart budgets
Supervise configured services and apply bounded restart behavior within the limits and dependencies you set.
Runtime gateway, service routes, and proxy behavior
Route configured gateway traffic and apply enabled origin-side policy. Direct listeners and upstream volumetric protection remain separate.
Inspect what is running and who did what
Managed actions can retain operator, time, hash, and lifecycle evidence. Approval, bytes, execution, health, and recovery remain separate facts.
Build monitoring and policy pipelines
Choose supported inputs, conditions, and enabled actions, then test the flow before applying it to managed traffic.
Connect the tools your team uses
Send alerts and records to Slack, Teams, GitHub, or your own systems.
Incident and emergency-action alerts to your team.
Send selected runtime records into incident response.
Turn proposed fixes into tracked work items.
HMAC-signed records sent to your own endpoint.
Keep export references alongside your existing traces.
Get help without leaving the dashboard
Open a support request and include the right workspace details automatically.
Runtime version, release history, and rollout policy
Review the installed runtime release, what changed, and whether compatible updates are configured to progress automatically.
Version and compatibility are reported per connected server.
Automatic pickup does not bypass package compatibility, authentication, health checks, or the configured release-approval mode.
A configured candidate can be evaluated on a bounded target before broader placement.
Review available version, status, compatibility, and rollout evidence without treating installation as proof of health.
Launcher, agent, supervisor, and control-runtime evidence
Keep operational runtime output separate from application stdout and stderr in App Logs.
Illustrative entries. Capture, integrity, retention, pagination, and availability depend on the component and configured path.
Workspace activity without hidden metering
Review reported activity for operations and capacity planning. The published plan does not meter traffic, requests, logs, or security events for billing.
Selected managed-route observations.
Retention and pagination remain separate.
Not a billing throttle.
Connected-server and managed-service capacity
See plan capacity and add the units that match the current commercial model.
Bounded, sanitized customer data export
Request available workspace, runtime, telemetry, support, and evidence data without exporting usable credentials or private implementation source.
Component builders may return partial errors.
Source contents are represented by bounded metadata where applicable.
A result can be partial or return an unsealed status.
Tell us what felt clear, confusing, or blocked
Keep product feedback separate from account support so clarity, friction, and feature requests reach the right workflow.
What was difficult to understand?
What interrupted the operating flow?
What should the team evaluate next?
Edit and validate infraveil.json
Describe managed services, commands, ports, health checks, routes, and supported policy inputs, then validate before release.
{
"services": [{
"name": "api",
"command": "node server.js",
"health": "/health"
}]
}Saving a contract is not proof of execution or health. Deployment follows the configured approval mode.
Account, access, recovery, and trust summary
Review organization identity, configured authentication and recovery controls, workspace diagnostics, and available trust evidence.
This view does not imply fine-grained team RBAC, SSO, SCIM, or universal enterprise assurance.
One place to deploy and run your services
Ship managed code to supported Linux servers with configured origin controls, selected monitoring evidence, and bounded recovery workflows.
What Infraveil Coordinates
Bring key runtime controls into one operating plane while retaining the upstream and specialist services your deployment still needs.
Deploy Tooling
CI/CD pipelines, Docker registries, kubectl, Helm charts
Security Layers
Separate origin-policy tools plus provider or CDN-level mitigation for volumetric attacks
Monitoring Tools
Log aggregator, APM, network tracer, metrics dashboard
Incident Response
On-call rotation, manual debugging, post-mortem analysis
One Deployment Command
Trust Console supplies a scoped one-use capability for the customized infraveil.py enrollment flow on a supported Linux server.
Managed Origin Controls
Configured rate, IP, geo, WAF, and honeypot controls apply to managed routes. Keep upstream provider or CDN mitigation and restrict direct origin access.
Monitoring in One Place
Selected logs, managed-gateway request traces, and traffic analytics in one scoped server view.
Bounded Recovery
When configured evidence permits, the system may propose a change; application depends on permissions, auth, package mode, and release approval.
Coordinate key runtime controls from one view.
Built for teams that run their own backend.
A simpler way to run your product without giving up control.
Fast-moving teams
Deploy often without building a large operations stack.
Teams that want control
Keep your code and data on your own servers.
Teams that want fewer tools
Run, protect, and monitor from one dashboard.
Your whole backend, live, on one screen.
The Alternative
How Infraveil can coordinate selected runtime workflows while external edge, network, and on-call responsibilities remain separate.
Without Infraveil
GitHub Actions, GitLab CI, or Jenkins for build and deploy automation
Kubernetes, Docker Swarm, or Nomad for workload management
Provider or CDN mitigation for volumetric attacks, plus configured origin WAF, rate, IP, and geo controls
Log aggregator (Datadog/Splunk), APM (New Relic), network tracer, metrics dashboard (Grafana)
On-call rotation (PagerDuty), manual debugging, post-mortem analysis
2-3 senior engineers spending their time wiring up and maintaining this infrastructure instead of building product
With Infraveil
Use Trust Console, customized infraveil.py, a one-use capability, and infraveil.json on a supported Linux host.
Configured origin-side rate, geo, and honeypot controls apply only to managed gateway routes
Selected logs, managed-gateway request traces, and traffic analytics in one scoped server view
Recovery can analyze available evidence and propose bounded changes; application follows manual, exact-hash allowlist, or automatic approval mode.
Compute stays on your servers. Offboarding and export are bounded by package mode, hosted source custody, available export surfaces, retained evidence, and your own backups and migration plan.
One dashboard, so you don't need a dedicated infrastructure team to run it.
Why One Dashboard Wins
Your team shouldn't need five tools and a pile of custom scripts just to run a backend. Infraveil brings deploys, security, monitoring, multi-server coordination, and recovery into one place - so there's less to buy, less to learn, and less to maintain.
Fewer Tools
Deploy, security, monitoring, and recovery in one place. No more bouncing between a CI/CD tool, a WAF, a log service, an APM, and an incident tool.
Less to Keep Track Of
Fewer moving parts, fewer systems to remember, fewer places to go when something breaks. Your team works from one screen instead of jumping between five.
Less Custom Glue Code
Less scripting and less upkeep. Stop building and maintaining your own tools just to connect your deploy, security, and monitoring setup together.
Ship Faster
Go from code to a running, watched service in minutes. The launcher and agent check the code, start your services, route traffic, report health, and stand ready to recover - no pile of custom release scripts to babysit.
Security Built In
Security risk remains. For managed packages and routes, Infraveil can check the approved package hash and apply configured rate, geo, and honeypot controls at the origin gateway; unmanaged services and bypass listeners remain outside that boundary.
Less Tech Debt
Managed-package releases can materialize a release-specific workspace and approved package hash. Recovery may use an intact, compatible cached version when available; release cleanliness, drift elimination, and successful rebuild are not guaranteed.
Works with the tools you already use.
When configured, send selected evidence to Slack, Teams, incident.io, or GitHub. The Infraveil record remains bounded by reported data, retention, pagination, and workspace configuration.
Send alerts to your team.
Open incidents with the right context.
Turn findings into tracked work.
Send updates to your own tools.
Deploy backend services
from one dashboard.
With most setups, you wire up deployment, monitoring, security, incidents, and recovery as separate tools after your service is already live. For configured managed services, Infraveil can validate the approved package, prepare the defined runtime workspace, supervise selected processes, route managed gateway traffic through origin policy, and report selected evidence to the dashboard.
Scattered Across Tools
Deployment, logs, incidents, policy, and recovery live in separate tools
When something fails, you piece the story together by hand
What's actually running and what your status page says often don't match
One Clear Path
Your code is checked before the agent runs it
Works with Node, Python, Go, Rust, Java, and more
Each service runs in a clean workspace, not tangled up with the host
Your development workflow stays the same.
You keep your existing build workflow where supported. Infraveil coordinates configured enrollment, managed releases, bounded supervision, origin policy, selected records, and recovery workflows; it does not handle every surrounding infrastructure responsibility.
Enroll Through Trust Console
Trust Console provides the scoped one-use capability used by the customized infraveil.py enrollment flow. A supported Linux server appears only after installation, enrollment, and reporting succeed.
Authenticate and Generate
Authorize enrollment in Trust Console and use the scoped one-use capability supplied for the customized infraveil.py flow.
# use only the customized, browser-hash-verified file
Install on Your Server
Run the customized infraveil.py flow on a supported Linux server. The elevated systemd path currently defaults the launcher service to root and changes host service configuration.
Deploy and Operate
Managed-package mode may materialize eligible source files in the hosted plane. The host pulls the approved package over the configured secure channel and checks its package hash before the configured runtime flow.
Inspect Reported Runtime Evidence
The idea is simple: don't trust blindly, check the code before it runs, and keep control of the server separate from your app code. Infraveil runs each service in its own clean workspace, confirms the code is the one you shipped, applies your security rules, and can rebuild from a clean copy when needed.
Contained and Checked
Each service runs in its own clean workspace, kept separate from the rest of the server. The code is checked before it starts, so nothing runs that you didn't ship.
Stops When Something's Wrong
For a configured managed service, reported health evidence and restart policy can trigger bounded process actions. A later release still depends on package state, authorization, dependencies, and successful health checks.
Fast to Rebuild
If you provision a compatible replacement server, the configured flow may pull an approved or intact cached package. Return to service depends on enrollment, dependencies, package availability, and successful health checks.
From Upload to Running
What Your Team Gets Back
The payoff is practical: fewer moving parts at release time, tighter control over what runs, and less time spent gluing tools together.
Less Guesswork
Checked code, health checks, request traces, and a clear audit trail mean you can see what happened instead of guessing.
Less Maintenance
Your team spends less time rebuilding environments and fixing servers that have drifted, and more time building your product.
Ship Changes Faster
With less setup work between you and production, your team can test, tweak, and release changes more often.
Build your own security rules, your way
Set up checks that run on incoming traffic: name them, put them in order, point them at specific services or servers, and run several at once. Decide what to watch for, score the traffic, and respond in the order that fits your app.
Threat Scoring and External Lookups
Where configured, call external APIs with selected request context. Use available threat scores or abuse reports to inform bounded enforcement decisions.
Deception and Honeypot Actions
Serve fake 200 responses to attackers. Hold suspicious requests for 15+ seconds. Log attacker fingerprints in real time.
Cumulative Risk Scoring
Each detection adds points. Block, slow down, or divert the request once the score passes your threshold. Weights are configurable per deployment.
Ask what changed, then act on it.
A built-in AI assistant can read your logs, server status, incidents, service list, request traces, and security rules, then explain what's going on and suggest what to do. It only runs actions you approve.
“Why did payment-api degrade, and what should I do first?”
Built for Teams That Need Control and Proof
Infraveil fits anywhere you need tight control over what's deployed, a clear record of what happened, and fewer tools to manage.
Government
For teams that need tight control over deploys, clear separation between systems, and an audit trail they can show.
Defense
For cases where operators need bounded package, process, health, and recovery evidence while rebuilding servers; no complete visibility or recovery outcome is guaranteed.
Professional
Helps coordinate selected release, runtime, policy, and evidence controls for configured internal tools and customer-facing services.
Private Sector
Keeps backend operations in one place and shortens the time it takes to get product changes live.
The same setup, wherever your servers run.
How It Works, in Detail
Your engineers can read exactly how Infraveil works and why it's built this way before you commit to it.
Review Trust ModelYour app runs on your servers.
Your application, process environment, and persistent files stay on infrastructure you control.
The hosted dashboard receives selected health, activity, log, and change information needed to manage the services you connect.
From Testing to Production
A clear path from trying it out to running it for real.
Development Environment
Use a development agent to check how your service behaves, practice the deploy flow, and get it right before going live.
Production Environment
Move the service to a production agent with monitoring, security controls, and a clear recovery plan already in place.
See Infraveil in action.
See how one server comes online, stays protected, and is managed from one place.