Overview
Architecture-level operational posture for the DALP platform covering observability infrastructure, database architecture, and failure mode analysis for enterprise deployments.
Purpose
This section documents DALP's operational architecture -- the infrastructure, patterns, and design decisions that determine how the platform behaves under normal operations and during failures.
- Doc type: Reference
What you'll find here
- Observability stack architecture (metrics, logs, traces, dashboards)
- Database design and data persistence strategy
- Failure mode catalog with expected system behavior
- Architecture-level reliability characteristics
Operational posture
DALP is designed for continuous operation in regulated environments. The operational architecture addresses three concerns:
- Visibility -- operators must see what the platform is doing at all times. The observability stack provides metrics, structured logs, and distributed traces across all components.
- Persistence -- application state must survive failures. PostgreSQL provides ACID guarantees for all critical data. The Execution Engine persists workflow state at every step boundary.
- Resilience -- failures must not corrupt state or lose transactions. The platform degrades gracefully, retries transient failures automatically, and routes permanent failures to dead letter queues for manual resolution.
This section describes architecture-level operational characteristics. For deployment procedures and runbooks, see the self-hosting documentation.
Section pages
| Page | Description |
|---|---|
| Observability | Metrics collection, log aggregation, distributed tracing, alerting rules, and pre-built dashboards |
| Database | PostgreSQL architecture, data domains, replication strategy, and backup posture |
| Failure modes | Catalog of expected failure scenarios, system behavior under each, and recovery characteristics |
Key reliability characteristics
- Workflow durability: The DALP Execution Engine persists state before each step. Process restarts resume from the last checkpoint without data loss or duplicate operations.
- Transaction atomicity: Blockchain transactions use idempotency keys and nonce management to prevent duplicate submissions under retry conditions.
- Graceful degradation: Component failures isolate to affected workflows. Unrelated operations continue processing.
See also
- DALP Execution Engine for workflow reliability patterns
- Self-hosting for deployment and infrastructure requirements
- High availability for HA and DR configurations
- Security for security-related operational controls
Wallet Verification
Wallet verification gates blockchain write operations as a second security layer beyond session authentication, supporting PIN, TOTP, backup codes, and passkey-based verification methods.
Observability
The observability stack provides comprehensive visibility into platform operations through metrics collection, log aggregation, distributed tracing, and pre-built dashboards for proactive monitoring and rapid incident response.