The toolkit behind
the team.
We run our own platform on the same patterns we ship to clients: GitOps governance, dual-engine secret scanning, SOC observability, automated incident response. Each tool is config-driven and battle-tested in production before it ever reaches a client environment.
Six tools.
One operating model.
Every tool below is deployed via ArgoCD, tested in CI, monitored by the SOC stack, and documented with runbooks. When we ship these to client environments, the only change is the config values.
Incident Automation
Synthetic checks, automated incident creation, status page updates, and structured postmortems.
Synthetic monitoring
HTTP, TCP, DNS, and TLS checks from 3 regions. Configurable thresholds and alert escalation.
Incident lifecycle
Auto-create, auto-notify, auto-resolve. PagerDuty and Slack integrations. Timeline generated automatically.
Postmortems
Structured templates, action item tracking, SLO impact scoring. Published internally within 5 business days.
Status page
Public-facing component status, maintenance windows, subscriber notifications. Zero manual updates during incidents.
Secret Scanning
Dual-engine scanning (gitleaks + trufflehog) with incremental mode and CI-blocking gates.
Dual-engine approach
Two scanners with different detection strategies. One misses what the other catches. Combined false-positive rate under 2%.
Incremental scanning
Only scans new commits, not full history on every run. PR-blocking in under 8 seconds for typical diffs.
Custom rules
22+ org-specific patterns: internal tokens, service account keys, webhook URLs, config secrets.
Routing & SLAs
Findings routed to code owners. Critical: 4h SLA. High: 24h. Medium: 1 sprint. Low: best-effort.
Org Governance
YAML-driven GitHub org policy with nightly drift detection and auto-remediation.
Declarative config
Repo settings, branch protections, team memberships, and webhook configs defined in YAML. PRs for all changes.
Drift detection
Nightly reconciliation against desired state. Drift reported as issues, auto-fixed when safe, flagged for review otherwise.
Audit trail
Every policy change is a merged PR. Full git history of who changed what, when, and why.
Multi-org support
Runs across our org and client orgs (with their PATs). Same policy engine, different config repos.
SOC Observability
Grafana + Loki + Alertmanager with 7 production alert rules and on-call routing.
Dashboards
Pre-built Grafana dashboards for infrastructure health, deploy frequency, error budgets, and cost tracking.
Alert quality
Every alert is actionable, owned, and rare. Alert fatigue is treated as a bug, not a feature.
Log aggregation
Loki-based, label-indexed, fast. Structured logs with trace correlation. 30-day hot, 1-year cold storage.
On-call routing
Time-based and severity-based routing. Escalation policies. Quiet hours respected unless P1.
Runner Infrastructure
Self-hosted, autoscaling CI runners on spot capacity with cron dispatch.
Autoscaling
Scale-to-zero when idle, burst to capacity on push. No per-minute billing. Predictable monthly cost.
Security isolation
Ephemeral VMs, destroyed after each job. No shared state, no credential persistence, no lateral movement.
Cron dispatcher
Scheduled jobs (nightly builds, security scans, governance checks) managed as code, not UI clicks.
Audit trail
Full log of every job: who triggered, what ran, what artifacts produced. Retained 90 days.
Notification Fabric
Unified alerting across email, Slack, PagerDuty, and webhooks. One config, all channels.
Multi-channel
One event, routed to the right channel based on severity and team ownership. No duplicate noise.
Deduplication
Content-hash dedup prevents alert storms. Grouped notifications for related events.
Templates
Channel-specific formatting. Slack gets rich blocks, email gets structured HTML, PagerDuty gets severity metadata.
Dead-letter queue
Failed deliveries retried with backoff. Persistent failures escalate to fallback channel. Nothing silently dropped.
Want this platform
in your environment?
Every tool above is deployable to client infrastructure. Same code, different config. We'll have it running in your AWS/Azure/GCP account within the first sprint.