• 🔴 Do incidents look sudden but logs show anomalies hours before?
    We mine historical data to find early signals.
  • 🔴 Do you get blamed for outages you didn't cause?
    We give forensic evidence and root cause chains.
  • 🔴 Do you have no shared view for ops, security and product?
    We build dashboards per role.
🔴 Systems never fail out of nowhere. So why are you fixing them like they do?
We add anomaly detection to your data streams.
🔴 How many times did you see a metric going weird and nobody acted?
We formalize weird into alerts.
💯 Practice Areas
ADG Anomalies & Predictive Sabotages turns your logs, metrics and events into an early warning system.

We detect drifts, correlate signals and simulate sabotage scenarios so you can act before customers or management see the problem.

🔸 Early detection of incidents and suspicious behavior.
🔸 Less firefighting, more planned remediation.
🔸 Single narrative for ops/security/management.
🔸 Evidence for post incident reviews.
🔸 Reduced downtime and SLA penalties.
🔸 Better reputation with customers.
How It Works
Wire in data
Read-only taps on logs, metrics and events. Normalize timestamps, keys and service names to make correlation trivial.
Pattern mining
Mine historical incidents for leading signals. Store these as tests and detectors, not slides, so they fire again next time.
Detectors
Mix rules, stats and ML per signal. Deduplicate and group alerts to avoid storms. Every alert carries owner, query and next action.
Realtime deploy
Ship detectors, route to chat/on-call. Add suppression windows and SLO-based paging so humans aren’t spammed.
Adversarial drills
Emulate data poisoning, dropped topics, skewed counters. Confirm detectors trip and playbooks are executable.
Dash & export
Ship a lean risk board and export feeds for SIEM/SOAR. No heavy portal required to act.
Run service (optional)
Threshold tuning, drift watch, monthly TTD/MTTR review, new detectors for new failure modes.
Documentation & Reporting (optional)
We produce lean, engineer-first artifacts that can scale to audit grade if needed - diagrams, IaC refs, runbooks, SLO dashboards, and change logs. Evidence packs are versioned and reproducible: links point to live systems or CI exports, not slides. Scope is tailored per client - from a 1-page ops sheet to a full compliance bundle with test replays and data lineage. If you prefer, we keep it minimal and focus on code and metrics only.
What you pay for
  • 🟢 Initial anomaly audit
    historical mining, signal catalog, model setup.
  • 🟢 Real-time monitoring
    Streaming jobs, alert rules, dashboards, runbooks.
  • 🟢 Enterprise options
    SIEM/SOAR integration, 24x7 coverage, stricter SLAs.

General transparency note

Pricing reflects two components where applicable:
✅ Expert work
Architecture, implementation, monitoring, reporting.
✅ Resources
Compute, storage, network and third-party tooling used to meet your SLAs
Sensitive or regulated environments require bespoke pricing due to security, access and audit constraints.