Problem Statement (Current Limitation)

Syniti Orchestrate is currently designed with a tight coupling to system-generated ETL (Asset) IDs for workflow execution.

As observed in the current implementation and internal usage:

• When ETL objects are re-imported (e.g., Golden → Load / DEV → QA), Syniti generates a new ETL ID

• Existing Orchestrate workflows still reference the old ETL ID, resulting in:

  • Invalid package execution

  • Workflow failure

  • Runtime errors such as:

    • “Could not find JobQueue with ID…”

• This requires manual re-mapping of ETL references within each workflow

Architectural Gap (What is Missing)

1. Logical Abstraction Layer (Critical Missing Capability)

• No support for ETL Name-based binding

• System relies purely on physical ID (non-portable) instead of logical identity

✅ Expected:

Workflow → Logical ETL Name → Runtime Resolution → Active ETL ID 

2. Metadata Resolver / Late Binding Mechanism

• No runtime engine to dynamically resolve ETL references

• Workflows are resolved at design-time (early binding) instead of execution-time

✅ Missing:

• Resolver service that maps:

  • ETL Name + Environment + Version → ETL ID

3. Environment-Agnostic Design

• Current design breaks during:

  • Release copy

  • ETL import/migration

• No portability across environments

✅ Missing:

• Cross-environment ETL reference persistence

4. Dynamic Version / Mock Handling

• Mock/version is statically embedded in workflows

✅ Missing:

• Variable-driven execution:

ETL = Customer_Load Mock = Mock1 → Dynamically resolved at runtime 

5. Auto-Rebinding / Self-Healing Capability

• No mechanism to detect:

  • Same ETL name with new ID

• No automatic re-linking

✅ Missing:

• Auto-recovery mechanism:

If ETL_ID not found → Lookup by Name → Rebind automatically 

6. Governance & Impact Awareness

• No visibility into:

  • Which workflows depend on which ETLs

  • What breaks after re-import

Developer Pain Points

This design introduces significant operational friction:

🔴 Manual Effort Overhead

• Developers must:

  • Identify failed ETL IDs

  • Copy ETL names

  • Manually reassign IDs in each workflow

🔴 Productivity Loss

• Repetitive tasks after every import/release

• No automation or reuse capability

🔴 Error-Prone Process

• High risk of:

  • Incorrect mapping

  • Missing updates

  • Partial workflow failures

🔴 Frustration & Low Adoption

• Developers perceive Orchestrate as:

  • Rigid

  • Non-intelligent

  • Not aligned with modern ETL orchestration standards

Business / Project Impact

🔻 1. Delivery Delays

• Every ETL re-import causes:

  • Workflow breakage

  • Rework cycles

• Directly impacts:

  • Mock readiness

  • Cutover timelines

🔻 2. Reduced Scalability

• Not suitable for:

  • Large programs

  • Multi-wave SAP migrations

  • Parallel environment deployments

🔻 3. Increased Cost of Ownership

• Manual workaround → increased effort

• Dependency on skilled resources for trivial fixes

🔻 4. Runtime Instability

• Workflows fail silently or unpredictably

• Dependency on obsolete IDs leads to:

  • Frequent runtime errors.

🧠 Architectural Recommendation (Proposed Enhancement)

✅ Introduce Logical ETL Binding

Replace:

ETL_ID (Hardcoded) 

With:

ETL_NAME (Logical) + Runtime Resolver 

✅ Introduce Metadata Resolution Layer

[Workflow] ↓ [Logical ETL Name + Variables] ↓ [Resolver Engine] ↓ [Environment-Specific ETL ID] ↓ [Execution] 

✅ Enable Variable-Driven Execution

• Mock / Version selection via variables

• Example:

${ENV} = LOAD ${MOCK} = MOCK1 

✅ Auto-Rebinding Engine

• Detect:

  • Same ETL, new ID

• Automatically remap references

✅ Release-Aware Mapping

• Maintain mapping consistency across:

  • Golden → Load → Production

Expected Benefits

✅ For Developers

• Zero manual remapping

• Improved productivity

• Reduced errors

✅ For Architecture

• Loose coupling

• Environment-agnostic workflows

• Reusable orchestration design

✅ For Business

• Faster delivery

• Stable execution

• Reduced operational cost

🧾 Conclusion

The current Orchestrate design is physically bound, environment-dependent, and operationally fragile due to its reliance on system-generated ETL IDs.

Without introducing:

• Logical abstraction

• Runtime resolution

• Auto-rebinding

…the platform will continue to face:

• Developer dissatisfaction

• Delivery delays

• Scalability limitations

✅ Final Recommendation (Concise)

Introduce logical ETL name-based execution with a metadata-driven resolver layer and dynamic variable support, enabling Orchestrate to become environment-agnostic, self-healing, and scalable for enterprise-grade data migration programs.