Sloppify

ideas/infrastructure-ops/cost-anomaly-detector.md

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+# Cost Anomaly Detector
+
+Monitor cloud spending in near real time, detect abnormal spikes, and trigger alerts or safe remediation workflows before monthly bills explode.
+
+## Problem
+Cloud spend surprises are usually discovered days later in billing dashboards, after the costly behavior has already continued.
+
+## Core capabilities
+- Ingest billing and usage metrics from cloud providers.
+- Learn baseline cost patterns by service, account, and environment.
+- Detect anomalies using thresholds plus statistical deviation.
+- Trigger response playbooks: alert only, scale-down, or shutdown non-critical resources.
+
+## MVP scope
+- AWS Cost Explorer integration first, then Azure/GCP.
+- Daily anomaly scoring with high-priority instant alerts.
+- Human approval required for any destructive remediation.
+
+## Success criteria
+- Faster detection of abnormal cost events.
+- Measurable reduction in unplanned monthly overspend.
+
+## Stretch ideas
+- Forecast end-of-month bill scenarios with confidence ranges.
+- Recommend reserved instances or savings plans automatically.

ideas/infrastructure-ops/runbook-executor.md

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+# Runbook Executor
+
+Store operational runbooks as structured YAML or Markdown and execute them step-by-step with human approval gates for risky actions.
+
+## Problem
+Incident procedures often live in docs that are hard to follow under pressure, leading to skipped checks and inconsistent responses.
+
+## Core capabilities
+- Parse runbooks into explicit steps, prerequisites, and rollback actions.
+- Execute commands with dry-run previews and approval prompts.
+- Record execution logs, decisions, and timestamps for postmortems.
+- Pause and hand off to a human operator at defined control points.
+
+## MVP scope
+- YAML schema for step type, command, timeout, and approval level.
+- CLI and chat-driven execution interface.
+- Immutable audit log output per run.
+
+## Success criteria
+- Reduced incident recovery time.
+- Higher runbook adherence and better post-incident traceability.
+
+## Stretch ideas
+- Simulated practice mode for fire drills.
+- Auto-generate runbook health reports showing stale or untested steps.

ideas/infrastructure-ops/self-healing-service-monitor.md

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+# Self-Healing Service Monitor
+
+Detect service degradation early and execute predefined recovery actions before escalating to humans.
+
+## Problem
+Teams get paged for recoverable incidents because monitoring is alert-only and lacks trusted automated remediation.
+
+## Core capabilities
+- Combine health checks, latency, and error-rate signals into failure states.
+- Execute tiered recovery actions: restart, clear cache, failover, scale up.
+- Validate recovery with post-action checks before resolving alerts.
+- Escalate with rich context only if auto-healing fails.
+
+## MVP scope
+- Integrate with Prometheus/Grafana alerts.
+- Define safe action catalog per service.
+- Maintain cooldown windows to prevent action loops.
+
+## Success criteria
+- Lower pager volume for transient failures.
+- Faster service recovery for known incident classes.
+
+## Stretch ideas
+- Adaptive run selection based on incident fingerprint similarity.
+- Automatic rollback if a healing action worsens key metrics.