Roman Nagibov RomanRuby

## workflow_comparison.md

      
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                RomanRuby
                / workflow_comparison.md
            
            
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              October 31, 2025 14:58
            
          
Approach
Key Tools / Examples
Pros
Cons


Stateful Workflow Engine
Temporal, Airflow, Azure Durable, Netflix Conductor
Deterministic execution, built-in retries, full observability, easy debugging.
Requires learning the engine model; adds a central orchestration layer to manage.


Stateless Microservices
REST endpoints, pub/sub events
Simple to deploy, loosely coupled services.
Hard to recover from failures; manual retries and idempotency handling required.


Choreography (Decentralized)
Event-driven systems, peer agents
No central bottleneck; flexible agent interactions.
Complex global consistency; hard to monitor distributed state.


Batch Tools
Airflow, Luigi
Well-suited for ETL and scheduled data pipelines.
Not designed for real-time or interactive AI workflows.


## temporal_workflow.md

      
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                RomanRuby
                / temporal_workflow.md
            
            
              Created
              October 31, 2025 15:00
            
          
    📊 Results After Migration


Metric
Before
After Temporal


Successful video jobs
85 %
98 %


Lost progress after crash
frequent
none


Average recovery time
15 min
10 s


GPU utilization
65 %
90 %+
Approach	Key Tools / Examples	Pros	Cons
Stateful Workflow Engine	Temporal, Airflow, Azure Durable, Netflix Conductor	Deterministic execution, built-in retries, full observability, easy debugging.	Requires learning the engine model; adds a central orchestration layer to manage.
Stateless Microservices	REST endpoints, pub/sub events	Simple to deploy, loosely coupled services.	Hard to recover from failures; manual retries and idempotency handling required.
Choreography (Decentralized)	Event-driven systems, peer agents	No central bottleneck; flexible agent interactions.	Complex global consistency; hard to monitor distributed state.
Batch Tools	Airflow, Luigi	Well-suited for ETL and scheduled data pipelines.	Not designed for real-time or interactive AI workflows.
Metric	Before	After Temporal
Successful video jobs	85 %	98 %
Lost progress after crash	frequent	none
Average recovery time	15 min	10 s
GPU utilization	65 %	90 %+