Deploy faster. Approval-gated. Rollback-ready.
Pull validated artifacts from your source of truth, push to every device with multi-stage approvals, track per-device state, and rollback on failure, all captured in an immutable audit trail.
From commit to production, in three stages
Artifact ingestion
Pull builds automatically from GitHub, GitLab, Bitbucket, Amazon S3, Azure Artifacts, SFTP, or any HTTP(S) endpoint where your builds live.
Smart validation
Policy-driven integrity checks, metadata verification, and pre-deployment tests before a single device is touched.
Approval-gated rollout
Multi-stage approval workflows push validated builds to device groups with per-device state tracking (pending → in-progress → success / failed) and rollback on failure.
Ship with a paper trail, every time
- Artifact pull from GitHub, GitLab, Bitbucket, S3, Azure Artifacts, SFTP
- Multi-stage approval workflows with configurable workflow stages
- Reusable release templates for repeatable pipelines
- Per-device state tracking, pending → in-progress → success / failed
- Rollback on validation failure; release history and audit trail
- Resilient command queue, deduplicated per device, timeout-enforced, survives flaky networks
- RBAC with access templates plus immutable audit for compliance and debugging
- Cloud, on-prem, and hybrid environments on the same agent
Capability highlights
- →Multi-stage approval workflows
- →Release templates & history
- →Rollback on validation failure
- →Per-device state tracking
- →Immutable audit trail
Everything a deployment pipeline needs
Policy-driven gates
Gate deployments on required approvals and multi-level sign-off chains, with break-glass overrides for hotfixes, all audit-logged.
Release templates
Reusable templates for dev, staging, production, capture your deployment recipe once, run it consistently across every environment.
Rollback on failure
Rollback plans attached to every release. Release history is fully browsable and every rollback is captured in the audit trail.
Per-device state tracking
A resilient command queue tracks each device independently, pending, in-progress, success, or failed, with stdout/stderr captured to the console.
Workflow stages
Configurable workflow stages let you model your approval pipeline, from CAB review to change-freeze gates, with tasks linked to the release.
Central audit trail
Every deploy, approval, and rollback captured with user attribution, for compliance AND for debugging yesterday's regression.
Common questions
What are automated release deployments?
Where does LynxTrac pull artifacts from?
How do installations work on target devices?
Can I roll back a deployment?
Does it integrate with my existing CI pipeline?
Do you support approval workflows?
Further reading
From the blog, where we go deeper than a feature page can.
Continuous deployment for IT operations: shipping changes safely
Continuous deployment used to be a product-team practice. IT teams are now adopting CD for infrastructure, and what that actually looks like in practice is worth unpacking.
3 min read
RMM automation recipes: workflows that save hours every week
Seven specific automations our customers run across their fleets, ranked by how often they fire and how much pager noise they prevent.
4 min read
From alerts to auto-fix: building self-healing IT systems
Alerts that only notify you about a problem are half a solution. Teams use LynxTrac automations to turn those alerts into auto-remediation without waking a human.
3 min read
Your next release, zero drama
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