AlphaBravo Platform Engineering
Standing up Kubernetes is the easy part. Making it secure, compliant, observable, and operatable by a small team in a disconnected environment — that is where most programs get stuck.
Sound familiar?
Whether you are a forward operator with servers in the field, a crew running services on a ship underway, or a program office standing up a classified cloud — the operational constraints are the same. The platform has to work without help.
A forward element has a ruggedized server — a PowerEdge XR, a stack of Intel NUCs, a Getac — and a mission that requires TAK server and supporting services running now. Not after a 90-day ATO. Not after a pipeline that calls back to CONUS.
An afloat tactical PaaS runs on Nutanix HCI or HPE ProLiant blades in a ship's server room. The crew runs TAK, logistics services, and mission applications on an isolated network with no shore link for weeks at a time.
A program office is standing up a classified mission environment on HPE Synergy or Dell PowerEdge rack infrastructure. Multiple mission partners need access. Every cluster needs consistent policy, RBAC, observability, and continuous cATO evidence.
The path forward
Each step solves a real problem. Each product hands off cleanly to the next. By the end, a small team can operate a fleet that would otherwise require a department.
The problem
Before anything runs on your hardware, what runs on it matters.
The answer
Zero-CVE hardened container images. FIPS-validated. Signed.
The software supply chain is the first attack surface. If the images running on your hardware are not validated, signed, and continuously patched, everything built on top of them is suspect. Ghost solves this before you deploy a single workload.
# FIPS-validated image catalog
✓ nginx:1.29 FIPS · Signed · SBOM
✓ postgres:17 FIPS · Signed · SBOM
✓ redis:8.4 FIPS · Signed · SBOM
✓ python:3.13 FIPS · Signed · SBOM
✓ argocd:3.3 FIPS · Signed · SBOM
✓ keycloak:26 FIPS · Signed · SBOM
+ 40 more in catalog · 0 known CVEs
The problem
You have clean images. Now your cluster needs to govern itself.
The answer
Multi-distribution Kubernetes management. Self-service. Policy-gated.
A cluster that requires a platform engineer standing behind every deployment does not scale to the edge. Pioneer gives operators a governed self-service layer — templates, approval workflows, and continuous drift detection — so the platform enforces the rules even when no one is watching.
$ pioneer deploy --template rke2-ha \
--env sipr-enclave --nodes 5
Policy check: PASS (18/18 controls)
Approval: AUTO-APPROVED (L2)
✓ Cluster deployed: sipr-rke2-a7f3
✓ SBOM generated: 847 components
✓ Audit record: EVT-30142
✓ cATO evidence: 18 controls mapped
The problem
One cluster becomes ten. Then twenty. You need one place to see all of them.
The answer
The unified control plane for your entire Kubernetes fleet.
At fleet scale, the unit of management has to be the fleet — not the individual cluster. Astronomer connects to every cluster through an outbound-only agent (no exposed APIs, no inbound firewall holes) and gives your team a single console for visibility, delivery, security, and operations.
# Agent Fleet — 3 clusters, all connected
✓ sipr-rke2-prod v1.30 · Connected · 47 pods
✓ edge-k3s-fwd-01 v1.32 · Connected · 12 pods
✓ afloat-rke2-01 v1.33 · Connected · 23 pods
Alert Rules: 4 active · 0 firing
Audit Log: 3,540 rows · last event 12s ago
The problem
Your team cannot be everywhere the platform is. The platform needs to think.
The answer
Your AI co-pilot. Embedded. On-prem. Always available.
A two-person team cannot monitor every cluster, triage every incident, and generate compliance evidence for every change. Charlie is the AI operator embedded across Pioneer, Ghost, and Astronomer — running entirely within your boundary, with zero external API calls, air-gap ready.
$ charlie: why did sipr-rke2-prod restart at 0914Z?
Analyzing incident INC-3201...
✓ Root cause: OOM kill — api-gateway
Memory limit 512Mi hit at traffic spike
Recommendation: increase to 1Gi
✓ Fix applied — rolling restart complete
MTTR: 8 minutes · Audit: EVT-30199
The outcome
When Ghost, Pioneer, Astronomer, and Charlie are running together, the platform enforces security, generates compliance evidence, and handles the operational toil — so your team focuses on the mission, not the infrastructure.
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No pre-qualification call. No pitch deck. Our engineers will walk through a deployment scenario matched to your distributions, classification level, and operational constraints.
Platform Product
Pioneer manages Kubernetes across distributions, clouds, on-prem, and air-gapped networks. Self-service deployment with approval workflows, continuous drift detection, and compliance evidence that generates itself — so the platform governs itself even when your team isn't there.
$ pioneer deploy --template rke2-ha \
--env sipr-enclave --nodes 5
Policy check: PASS (18/18 controls)
Approval: AUTO-APPROVED (L2)
Images: Ghost registry · 0 CVEs
✓ Cluster deployed: sipr-rke2-a7f3
✓ SBOM: 847 components catalogued
✓ cATO evidence: 18 controls mapped
✓ Audit record: EVT-30142
The Problem
The hardware is not the problem. A Dell PowerEdge XR in a Pelican case, a Nutanix node in a ship's compute room, an HPE rack in a classified enclave — all of it can run Kubernetes. The problem is what happens after it's running. Clusters drift. Policy gets enforced inconsistently. A compliance audit asks for evidence that doesn't exist. The one engineer who knew how everything worked rotates out.
Mission applications like TAK server need a platform underneath them that is hardened, self-governing, and compliant by default — not a cluster that someone hand-configured and hoped stayed correct. Pioneer is that platform.
A PowerEdge XR or Nutanix node gets configured by hand
No two clusters are identical — drift starts on day one
Policy enforcement depends on someone remembering
The cluster that passed inspection last month may not pass today
Compliance evidence is reconstructed after the fact
cATOs take months and require people who have since rotated out
Air-gapped clusters need a human to update or remediate
Two operators cannot keep up with a fleet of ten nodes
TAK and mission apps share a cluster with no tenant isolation
One misconfigured workload can affect the entire mission stack
Any Environment
Pioneer was built for the environments where most Kubernetes tooling breaks down — the edge, the ship, the classified enclave. It runs in all of them the same way.
Dell PowerEdge XR, Intel NUC clusters, Getac servers in a Pelican case. Pioneer runs on the hardware your team carried in, governs itself over intermittent SATCOM, and keeps TAK server and mission applications running without a platform engineer on site.
Nutanix HCI nodes or HPE ProLiant blades in a ship's compute room. No shore link for weeks. Pioneer manages the afloat tactical PaaS, enforces CYBERSAFE and Navy RMF policy automatically, and self-heals without connectivity to an external update source.
HPE Synergy, Dell PowerEdge rack infrastructure, or Nutanix clusters in IL4, IL5, and IL6 enclaves. Pioneer gives a small platform team governed self-service across dozens of mission partner tenants with continuous cATO evidence on every cluster.
AWS GovCloud, Azure Government, on-premises VMware, bare metal Dell or HPE — or all of the above in the same fleet. One control plane, consistent policy, the same audit trail regardless of where the node lives.
Capabilities
RKE2, K3s, OpenShift, EKS, AKS, GKE — managed from one control plane. Same templates, policies, and visibility regardless of the distribution underneath.
Operators deploy through a portal. Approval workflows route requests to the right people. OPA policy gates validate before anything ships — automatically.
Drift detection, RBAC management, certificate lifecycle, auto-remediation. Pioneer treats post-deploy as the primary workload, not an afterthought.
Every action through Pioneer generates NIST 800-53, STIG, and cATO artifacts automatically. Compliance evidence is a byproduct of normal operations — not a separate process.
Full functionality offline. AI copilot, policy engine, drift detection, SBOM generation — everything runs without external dependencies. Designed for DDIL from day one.
SBOM generation at deploy time, in-toto attestation, and provenance tracking built into the deployment workflow — not bolted on afterward.
Hardening runs deeper than the cluster
Pioneer governs how clusters are deployed and operated on your Dell, HPE, or Nutanix hardware. But a hardened cluster running unvalidated images is not a hardened cluster. The images that TAK server, mission services, and platform components run from have to hold up their end too.
That is where Ghost comes in. Before any workload runs on a Pioneer-managed cluster — whether it is TAK, a logistics service, or a platform component — the image it runs from is FIPS 140-3 validated, cryptographically signed, CIS hardened, and patched within 4 hours of any known CVE. The supply chain is not an assumption. It is a verifiable fact.
Ghost
Hardened Container Registry
# Pioneer deployment pulls from Ghost
Images: Ghost registry · 0 CVEs
Signed: ✓ Cosign verified
SBOM: ✓ 847 components
We will walk your team through a live deployment matched to your distributions, classification level, and operational constraints.
Platform Product
Ghost delivers cryptographically signed, FIPS 140-3 validated container images. Every image is CIS Base OS hardened, ships with complete SBOM, and is patched within 4 hours of CVE disclosure.
# FIPS-validated image catalog · 0 CVEs
✓ nginx:1.29 FIPS · Signed · SBOM
✓ postgres:17 FIPS · Signed · SBOM
✓ redis:8.4 FIPS · Signed · SBOM
✓ python:3.13 FIPS · Signed · SBOM
✓ argocd:3.3 FIPS · Signed · SBOM
✓ keycloak:26 FIPS · Signed · SBOM
+ 40 more in catalog
What you get
Cryptographic modules validated to FIPS 140-3. Meet federal and regulated requirements without custom builds.
Every image signed with Cosign and SLSA Level 3 attestations. Provenance verified end to end.
CycloneDX and SPDX Software Bill of Materials on every image. Know exactly what is inside your containers.
Base OS hardened to CIS Benchmark Level 2. Minimal attack surface from the start.
New CVE patches delivered within 4 hours of disclosure. Automated rebuild pipeline, drop-in compatible.
Charlie explains CVEs in plain language, verifies provenance, and generates supply chain compliance evidence.
Drop-in compatible. No code changes. No migration effort.
Platform Product
Astronomer brings governance, GitOps delivery, security, and observability into a single console. A lightweight outbound-only agent connects your clusters without exposing APIs or opening firewall ports.
# Agent Fleet — 3 clusters, all connected
✓ sipr-rke2-prod v1.30 · Connected · 47 pods
✓ edge-k3s-fwd-01 v1.32 · Connected · 12 pods
✓ afloat-rke2-01 v1.33 · Connected · 23 pods
Alerts: 4 rules · 0 firing
Audit: 3,540 rows · last event 12s ago
Secure by Architecture
Astronomer connects through a lightweight in-cluster agent that establishes an outbound tunnel. The cluster never exposes its API server. No inbound firewall changes. No VPN. No bastion host. Clusters behind NAT, in private subnets, or in restricted environments connect the same way as any other.
Agent Fleet — Live Dashboard
Intelligent Alerting
Threshold-based rules for hard limits. Anomaly detection driven by rolling baselines — flags behavior that is unusual for a workload, not just when a fixed number is crossed. Less alert fatigue, earlier warning.
Alerting — Rules and Anomaly Baselines
Audit and Compliance
A complete, queryable record of activity across the fleet. Filter by actor, target, action, cluster, project, and time range. Export for your SIEM. When the auditor asks, the answer takes seconds.
Audit Log — Queryable Fleet Activity
Ghost. Pioneer. Astronomer. Charlie. See the full end-to-end platform matched to your environment.
Schedule a BriefingAI Co-Pilot
Charlie is AlphaBravo's embedded AI co-pilot. It runs entirely on-prem, understands your specific infrastructure, and helps small teams operate complex platforms without calling home to any external API.
$ charlie: why did prod-rke2 crash at 0914Z?
Analyzing incident INC-3201...
✓ Root cause: OOM kill — api-gateway
Memory limit 512Mi hit at traffic spike
Recommendation: increase to 1Gi
✓ Fix applied — rolling restart complete
MTTR: 8 minutes · No external calls made
Ask Charlie anything about your infrastructure in plain language. No menu diving, no kubectl memorization.
Charlie scores deployment risk from your actual history and active policies before anything ships.
Root cause analysis and step-by-step remediation in plain language. What happened, why, and what to do.
Automatic NIST 800-53, STIG, and cATO documentation generated from real deployment activity.
Pattern analysis surfaces certificate expiry, capacity trends, and etcd pressure before they become incidents.
CVE impact, SBOM verification across Ghost images, and security policy recommendations.
Charlie runs entirely within your boundary. No calls to OpenAI, Anthropic, or any cloud API. Your operational data never leaves your environment. Multi-model AI architecture, air-gapped ready, IL6 classification compatible.
Charlie is not a separate tool. It is embedded inside Pioneer, Ghost, and Astronomer — trained on your specific deployment history, policies, and operational patterns, not generic internet data.
Not cloud-dependent. Not a chatbot. A mission-ready operator built into the platform.
Get a DemoContact
Our engineers will walk you through a deployment scenario matched to your distributions, environments, and compliance requirements. No pre-qualification. No pitch deck.
Phone
(202) 420-9736Address
47 E All Saints Street, Frederick, MD 21701
Hours
Monday–Friday, 8am–5pm Eastern
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