01.1
Know what changed.
Connect work items, review decisions, build results, release versions, and runtime behavior into one traceable delivery record.
ENGINEERING OPERATIONS, RECONNECTED
Every change
has a story.
Know the whole one.
The operating layer that connects what teams planned, what engineers shipped, and what production is telling you—across every server, application, and release.
Designed for engineering leaders, platform teams, and DevOps operators.
THE CONTROL PLANE / 01
A clear view of a complex system.
INTERFACE STUDY · SIMULATED DATA
meshshift / workspace / overviewPRODUCT PREVIEW ↗
FIG 01 — UNIFIED FLEET OPERATIONSOriginal product visualization · illustrative data
BUILT TO CONNECT THE TOOLS YOU ALREADY USE
Plane/GitHub/GitHub Actions/Docker/aaPanel/Claude
Integration roadmap, not current certifications or partnerships.
01 / THE PROBLEM
The deployment is only
half the picture.
Infrastructure dashboards show system health. Issue trackers show commitments. Git shows code. None of those views, alone, can explain whether a piece of work actually made it safely to production.
01.2
Know what it affected.
See the application, cluster, resource pressure, logs, and security signals associated with every production change.
01.3
Know what to do next.
Ask an agent to assemble the evidence, propose a response, and move forward under clear approval policies.
02 / RELIABILITY INTELLIGENCE
THE INCIDENT AGENT
The alert is not
the answer.
When an error spike follows a release, the context shouldn't live across five dashboards and a dozen browser tabs.
01
Correlate the timeline. Trace anomalies back to the relevant commit, pull request, deployment, and Plane work item.
02
Work from evidence. Analyze logs, metrics, traces, and related changes before offering a root-cause hypothesis.
03
Act within boundaries. Draft a runbook, request approval, and verify the outcome without handing production unrestricted autonomy.
INCIDENT INVESTIGATIONEXHIBIT 02
Production evidence, assembled before action.
03 / ENGINEERING INTELLIGENCE
PLANE × GITHUB × PRODUCTION
Measure outcomes.
Not activity theater.
Commit volume is not engineering impact. Meshshift is designed to combine task scope, review turnaround, shipped work, rework, change failures and operational outcomes into auditable delivery insights.
Linked evidenceWork item → PR → CI → release → runtime
Context, not rankingsTeam trends and individual contribution context, with human review
Real delivery signalsLead time, review latency, change failure, recovery time
Evidence-based evaluation supports management judgment; it does not automate employment decisions.
04 / SPECIALIZED AGENTS
Six focused roles.
One operational context.
Agents read from the same change and infrastructure graph. Each has a defined remit, bounded access, and a record of its reasoning and actions.
Fleet agent
Capacity, resource pressure, node health, placement recommendations and operational drift.
Incident agent
Signal correlation, log investigation, release attribution, runbooks and recovery verification.
Security agent
Unauthorized-access signals, configuration drift, image vulnerabilities and exposure context.
Delivery agent
Task-to-commit traceability, review flow, delivery bottlenecks and outcome-based indicators.
Release agent
Deployment risk summaries, staged rollout proposals, health checks and rollback readiness.
Infrastructure agent
Repeatable provisioning for single-node, multi-node, load-balanced and hybrid fleets.
* Production-changing actions are subject to operator approvals and policy gates.
SECURITY POSTUREFIG 04
05 / SECURITY OPERATIONS
See the threat.
Preserve control.
Bring SSH events, privilege anomalies, exposed services, container findings and configuration drift into the same workspace as the workloads they affect.
- Host-level access and intrusion signals
- Image scanning and configuration baselines
- Proposed fixes with explicit approval trails
INFRASTRUCTURE ORCHESTRATIONFIG 05
06 / FLEET ORCHESTRATION
One server.
Many regions.
Same discipline.
Move from manual server setup to declared, repeatable environments. Plan single-node services or multi-node clusters with health checks, routing and reversible rollout paths.
- VPS onboarding, hardening, and service bootstrap
- Docker / Swarm with optional Kubernetes path
- Load balancing, drift detection, and rollback plans
07 / SYSTEM DESIGN
Agents don't get
root access to judgment.
Claude-powered reasoning lives behind deterministic checks, scoped tools, least-privilege permissions, and human approvals. Decisions remain inspectable. Commands remain governed.
01ObserveSignals + events
→02CorrelateEvidence graph
→03ProposeRunbook + impact
→04ApprovePolicy + operator
→05VerifyPost-change checks
DEPLOYMENT FOUNDATION
Dokploy-inspired workflows · Docker / Swarm · IaC
ENGINEERING RECORD
Plane work items · GitHub PRs · CI / CD events
RUNTIME SIGNALS
Metrics · Logs · Traces · Access events
REASONING & POLICY
Claude · Tool gateway · Auditable approvals
Meshshift is an independent product concept. Dokploy, Plane, GitHub, aaPanel and Claude are third-party technologies referenced in its proposed architecture; no affiliation or completed integration is implied.
DESIGN PARTNER PROGRAM / CONCEPT STAGE
Start with one fleet.
Prove the loop.
A useful pilot does not need a thousand nodes. It needs a real engineering workflow, a measurable incident, and a secure path from recommendation to approved action.
SUGGESTED VALIDATION SCOPE
01Connect one Plane project and one GitHub repository.
02Instrument 5–20 non-critical servers and two applications.
03Trace a release, reproduce an alert, and review the evidence.
04Evaluate accuracy, response time, action safety, and operator effort.
MESHSHIFT / PRODUCT DIRECTIONInterface designs use simulated data. Capabilities represent a proposed product roadmap.Back to top ↑