Armada
A fleet orchestration and operations control plane for long-running workers, services, and recovery-heavy automation.
Distributed worker systems become opaque fast unless health, degradation, escalation, and recovery are designed as one control surface.
delivery context for the system or product
window when the work was active or remains active
core tools, platforms, or infrastructure layers named directly
technical essays and notes connected to the same system
Distributed worker systems become opaque fast unless health, degradation, escalation, and recovery are designed as one control surface.
- Centralized health, alerting, and response loops around distributed worker fleets.
- Built operator-facing controls for retries, degradation paths, and incident handling.
- Focused the system on trust under load instead of vanity metrics.
- This record currently relies on narrative and related writing until a screenshot is added to the repository.
- 3 implementation highlights spell out what changed inside the system.
- 4 solution lanes connect the project back to the broader archive of use cases.
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public/project-screenshots/armada.png
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Capability pages that describe the reusable system logic behind this work.
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Reusable system capabilities demonstrated by the project.
Collection and orchestration
Browser automation, distributed workers, scheduling, and fleet-level recovery for public-data systems that need to keep working under drift.
Monitoring and operations
Observability, alert routing, SLAs, and operator-grade feedback loops for systems that cannot fail silently.
Where the project fits in the broader use-case archive.
Brand protection
Brand monitoring becomes noisy when listings, impersonation cases, and evidence live in disconnected tools.
Executive protection
Executive-risk workflows fail when exposure signals cannot be triaged, preserved, and escalated quickly.
Social monitoring
Social monitoring becomes fragile when surface drift, rate limits, and review overload all hit at once.
Threat intelligence
Threat workflows degrade when collection, retrieval, and review are treated like separate problems.
Writing that explains the architecture, constraints, or operating logic behind the project.
Worker Fleets in Practice: Retries, Idempotency, and Failure Taxonomies
Failures are classes, not surprises. Designing resilient worker fleets for complex, non-deterministic environments.
Monitoring Is Not Alerting
Alerting is an interruption budget, not a metric. Designing high-signal, low-fatigue observability systems.
Designing for Disruption: Fault-Tolerance in Worker Fleets
Systems must degrade gracefully, not heroically. How to survive proxy pool collapses and API disruptions.
Other systems in the archive that show nearby implementation patterns.
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WingAgent
An automation and intelligence system for high-scale behavior orchestration, capture, and feedback loops inside fast-moving platform environments.