II.
StackProfile JSON
Structured · livestack-profile:julia-data-service
Julia Data Service (Julia, Python, PostgreSQL, Docker) json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "stack-profile:julia-data-service",
"_kind": "StackProfile",
"_file": "domain/stack-profiles/deep-stacks-7.yaml",
"_cluster": "domain",
"attributes": {
"displayName": "Julia Data Service (Julia, Python, PostgreSQL, Docker)",
"description": "A data-oriented microservice built with Julia, exposing analytical\nendpoints that leverage Julia's just-in-time compilation and multiple\ndispatch for numerical computing workloads. PostgreSQL stores structured\ndatasets, while Julia's native array operations and broadcasting syntax\nmake data transformations concise and performant. Python interop through\nPyCall enables reuse of the Python ML ecosystem where Julia packages\nare lacking. Docker containers bundle the Julia sysimage for faster\nstartup in production. The tradeoff is Julia's time-to-first-plot\nlatency and the overhead of maintaining a polyglot Python/Julia\nboundary, but the throughput for compute-heavy analytics endpoints\ncan be orders of magnitude faster than pure Python.\n",
"composes": [
"language:julia",
"language:python",
"language:sql",
"library:numpy",
"library:pandas",
"tool:docker",
"tool:docker-compose",
"tool:psql"
]
},
"outgoingEdges": [
{
"from": "stack-profile:julia-data-service",
"to": "language:julia",
"kind": "composed_of"
},
{
"from": "stack-profile:julia-data-service",
"to": "language:python",
"kind": "composed_of"
},
{
"from": "stack-profile:julia-data-service",
"to": "language:sql",
"kind": "composed_of"
},
{
"from": "stack-profile:julia-data-service",
"to": "library:numpy",
"kind": "composed_of"
},
{
"from": "stack-profile:julia-data-service",
"to": "library:pandas",
"kind": "composed_of"
},
{
"from": "stack-profile:julia-data-service",
"to": "tool:docker",
"kind": "composed_of"
},
{
"from": "stack-profile:julia-data-service",
"to": "tool:docker-compose",
"kind": "composed_of"
},
{
"from": "stack-profile:julia-data-service",
"to": "tool:psql",
"kind": "composed_of"
},
{
"from": "stack-profile:julia-data-service",
"to": "role:data-engineer",
"kind": "used_by_role"
},
{
"from": "stack-profile:julia-data-service",
"to": "role:research-scientist",
"kind": "used_by_role"
},
{
"from": "stack-profile:julia-data-service",
"to": "role:data-scientist",
"kind": "used_by_role"
},
{
"from": "stack-profile:julia-data-service",
"to": "workflow:data-pipeline-deployment",
"kind": "follows_workflow"
},
{
"from": "stack-profile:julia-data-service",
"to": "workflow:feature-development",
"kind": "follows_workflow"
},
{
"from": "stack-profile:julia-data-service",
"to": "domain:data-science",
"kind": "applies_to"
},
{
"from": "stack-profile:julia-data-service",
"to": "domain:data-engineering",
"kind": "applies_to"
},
{
"from": "stack-profile:julia-data-service",
"to": "skill-area:data-analysis",
"kind": "requires_skill_area"
},
{
"from": "stack-profile:julia-data-service",
"to": "skill-area:python-data-pipelines",
"kind": "requires_skill_area"
},
{
"from": "stack-profile:julia-data-service",
"to": "skill-area:backend-api-design",
"kind": "requires_skill_area"
},
{
"from": "stack-profile:julia-data-service",
"to": "skill-area:containerization",
"kind": "requires_skill_area"
},
{
"from": "stack-profile:julia-data-service",
"to": "skill-area:statistical-analysis",
"kind": "requires_skill_area"
}
],
"incomingEdges": []
}