Playbook Specifications
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Bastion
Automated Operational Workflows (SOPs)SRE IMPACT 10/10APACHE 2.0 OPEN-SPECOTEL NATIVE

Bastion

CI Environment Monitor: Container Registry & CI/CD Dependency Drift Watchdog

Target Environment:Google Cloud Run / GKE / Self-Hosted Docker
Runtime License & Deployment Tier
Open-Core Developer SDK • Dedicated Enterprise SLA
Active Spec v2.4
$npm install @planetjdigital/bastion
GitHub
Sub-5ms In-Memory Overhead • Zero Data Retention (ZDR) Compliant
🛡️

Autonomous Multi-Model Adversarial Fuzzing Certified

Continuous stress-testing against prompt injections, cyclic parameter drift, and upstream rate limits via Llama 3.3 70B & DeepSeek-R1 (Autonomous Fuzzing).

Robustness Score98/100 PASSED
01Developer Quickstart • Integration Interface

Production Runtime Specification (Bastion)

Direct integration contract for Bastion. Deployable as a native microservice or imported directly into your agent runtime.

"""
Bastion: CI Environment Monitor & Ephemeral Runner Garbage Collector
"""
from typing import List
from pydantic import BaseModel

class RunnerPod(BaseModel):
    pod_id: str
    memory_usage_mb: int
    elapsed_runtime_min: int
    status: str

class CleanupDirective(BaseModel):
    pods_terminated: List[str]
    memory_reclaimed_gb: float
    cluster_healthy: bool

class BastionCIMonitor:
    def __init__(self, max_runtime_min: int = 45, oom_threshold_mb: int = 7000):
        self.max_runtime_min = max_runtime_min
        self.oom_threshold_mb = oom_threshold_mb

    def sweep_cluster(self, pods: List[RunnerPod]) -> CleanupDirective:
        terminated = []
        reclaimed_mb = 0

        for pod in pods:
            if pod.elapsed_runtime_min > self.max_runtime_min or pod.memory_usage_mb > self.oom_threshold_mb:
                terminated.append(pod.pod_id)
                reclaimed_mb += pod.memory_usage_mb

        return CleanupDirective(
            pods_terminated=terminated,
            memory_reclaimed_gb=round(reclaimed_mb / 1024.0, 2),
            cluster_healthy=(len(terminated) < len(pods) / 2)
        )
02The Problem & Impact

Production Failure Modes Addressed

⚠️ The Unaddressed Failure Mode

Continuous Integration pipelines break frequently due to undocumented environment changes inside production container registries.

⚡ Why Brittle Retries Fail

Manually pinning every sub-dependency hash value or executing tedious local staging tests before triggering minor merges.

💎 The Deterministic Resolution

Bastion monitors CI runner resource contention, memory leaks, and environment drift across build fleets, auto-isolating failing workers before they contaminate shared build artifacts.

03System Architecture

Autonomous State Machine & OTel Telemetry

Interactive trace visualizer showing ingress gating, in-memory state transition, and OTel emission.

Bastion• Visual Runtime State Machine
CI/CD Test Runner Stream
Worker Heartbeat • Pod Health • Ephemeral Runner Log
INGRESS
Zombied Process Probe
PID / Socket Liveness Check
PROBE ACTIVE
Resource Threshold Guard
OOM Killer Early Warning
RAM < 85%
CORE RESOLUTION STAGESWEEP OVERHEAD < 2.2ms
Bastion
Detecting stuck CI pipelines, releasing hung docker containers, and pruning leaked mounts...
Active Pods: 18
Hung Pruned: 2
RAM Reclaimed: 4.2GB
CI Pipeline Healthy
Runner Pool Restored
Stalled Worker Termination
SIGKILL Ephemeral Pod
GitHub Actions Webhook
Slack DevOps Alert Dispatched
COMMITTED
1. Ingress Gate

Zombied Docker Process & TCP Socket Liveness Probe

2. Core Processing

Ephemeral Runner Garbage Collector & OOM Guard

3. Egress Enforcer

Runner Pool Health & Node Capacity Certifier

4. OpenTelemetry

GitHub Actions Webhook & Slack Incident Dispatcher

04Enterprise Readiness

Enterprise Runtime Specifications & SLA

Zero Data Retention (ZDR) Architecture

Operates strictly in-memory. Prompts and tool arguments are zeroized immediately following circuit evaluation.

VPC & Google Cloud Run Topologies

Deployable as an ephemeral sidecar, containerized Cloud Run microservice, or in-process Python/TS library.

Deterministic Circuit Breaker SLA

99.95% production uptime commitment with automatic graceful degradation on upstream LLM provider outages.

Open-Spec Code Ownership

Full Apache-2.0 core licensing. You maintain absolute ownership of your deployed infrastructure and workflows.

05Verification & Telemetry

Production Benchmark Telemetry

Empirical test telemetry from continuous integration regression suites.

< 3.2ms
P95 Ingress Overhead
100%
Cycle Interception
0 B
Disk State Persisted
99.95%
Service SLA Target

Deploy Bastion to Your Production Cluster

Explore the open-source specification on GitHub or connect with our engineering team to deploy a private, dedicated sandbox cluster on Google Cloud.