{"id":"https://openalex.org/W4413181069","doi":"https://doi.org/10.1109/etcc65847.2025.11108664","title":"Automating MLOps Pipelines with GitHub Actions and Azure: A Case Study on Diabetes Prediction","display_name":"Automating MLOps Pipelines with GitHub Actions and Azure: A Case Study on Diabetes Prediction","publication_year":2025,"publication_date":"2025-06-26","ids":{"openalex":"https://openalex.org/W4413181069","doi":"https://doi.org/10.1109/etcc65847.2025.11108664"},"language":"en","primary_location":{"id":"doi:10.1109/etcc65847.2025.11108664","doi":"https://doi.org/10.1109/etcc65847.2025.11108664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etcc65847.2025.11108664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Emerging Technologies in Computing and Communication (ETCC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119294197","display_name":"Lokesh Kumar Chikkala","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lokesh Kumar Chikkala","raw_affiliation_strings":["REVA University,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"REVA University,Bengaluru,India","institution_ids":["https://openalex.org/I83737708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093049931","display_name":"Nishanth Kumar Pathi","orcid":"https://orcid.org/0009-0008-5820-0976","observed_orcids":["https://orcid.org/0009-0008-5820-0976"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nishanth Kumar Pathi","raw_affiliation_strings":["Bahrain Institute of Banking and Finance"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bahrain Institute of Banking and Finance","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077662003","display_name":"Shinu Abhi","orcid":"https://orcid.org/0000-0002-3318-7479","observed_orcids":["https://orcid.org/0000-0002-3318-7479"]},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shinu Abhi","raw_affiliation_strings":["REVA University,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"REVA University,Bengaluru,India","institution_ids":["https://openalex.org/I83737708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.215,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79531191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10430","display_name":"Software Engineering Techniques and Practices","score":0.23270000517368317,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10430","display_name":"Software Engineering Techniques and Practices","score":0.23270000517368317,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.22939999401569366,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.1404999941587448,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mlops","display_name":"MLOps","score":0.9990000128746033},{"id":"https://openalex.org/keywords/github-actions","display_name":"GitHub Actions","score":0.6759999990463257},{"id":"https://openalex.org/keywords/azure-machine-learning","display_name":"Azure Machine Learning","score":0.9909999966621399},{"id":"https://openalex.org/keywords/terraform","display_name":"Terraform","score":0.7639999985694885},{"id":"https://openalex.org/keywords/mlflow","display_name":"MLflow","score":0.9169999957084656},{"id":"https://openalex.org/keywords/diabetes-prediction","display_name":"diabetes prediction","score":0.8169999718666077},{"id":"https://openalex.org/keywords/pima-indians-diabetes-dataset","display_name":"Pima Indians diabetes dataset","score":0.7239999771118164},{"id":"https://openalex.org/keywords/ci-cd","display_name":"CI/CD","score":0.8190000057220459},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.8930000066757202},{"id":"https://openalex.org/keywords/infrastructure-as-code","display_name":"infrastructure as code","score":0.640999972820282},{"id":"https://openalex.org/keywords/experiment-tracking","display_name":"experiment tracking","score":0.6140000224113464},{"id":"https://openalex.org/keywords/healthcare-prediction","display_name":"medical prediction","score":0.5839999914169312},{"id":"https://openalex.org/keywords/cloud-infrastructure-management","display_name":"cloud infrastructure management","score":0.4230000078678131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486242651939392},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.5737413763999939},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.36352288722991943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13084295392036438},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etcc65847.2025.11108664","doi":"https://doi.org/10.1109/etcc65847.2025.11108664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etcc65847.2025.11108664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Emerging Technologies in Computing and Communication (ETCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8560000061988831,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W3039522238","https://openalex.org/W4214895166","https://openalex.org/W4285158860","https://openalex.org/W4310895607","https://openalex.org/W4360995249","https://openalex.org/W4390549990","https://openalex.org/W4391857601"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"there":[3],"have":[4],"been":[5],"a":[6,86,102,123,180],"lot":[7],"of":[8,43,71,104,189],"use":[9,20,87],"cases":[10,21],"for":[11,116,165],"Machine":[12,49,132],"Learning":[13,50,133],"(ML)":[14],"and":[15,32,48,54,75,100,118,136,168,182,223,231,237,255],"Artificial":[16],"Intelligence":[17],"(AI),":[18],"with":[19,85,113],"where":[22],"companies":[23],"try":[24],"to":[25,39,64,139,147,160,185],"operationalize":[26],"on":[27],"improving":[28],"productivity,":[29],"automating":[30],"processes,":[31],"modernizing":[33],"customer":[34],"experiences.":[35],"This":[36,120,193,212],"paper":[37,121,244],"aims":[38],"address":[40],"the":[41,55,141,162,187,196],"challenges":[42],"automating,":[44],"rapid":[45],"model":[46],"deployment":[47,142,215],"Operations":[51],"(MLOps)":[52],"products":[53],"operational":[56],"bottlenecks":[57],"in":[58,258],"transitioning":[59],"ML":[60,163,250],"models":[61],"from":[62,144],"experimentation":[63],"production,":[65],"such":[66,176],"as":[67,155,177],"inconsistent":[68],"environments,":[69,222],"lack":[70],"reproducibility,":[72],"manual":[73],"configurations,":[74],"limited":[76],"CI/CD":[77],"integration":[78],"by":[79,96,217],"building":[80],"an":[81,110,156],"end-to-end":[82],"MLOps":[83,93,108,191,247],"framework":[84,124,213],"case":[88],"considering":[89],"diabetes":[90],"prediction":[91,175,204],"model.":[92],"addresses":[94],"this":[95],"applying":[97],"best":[98],"practices":[99],"fostering":[101],"culture":[103],"efficient":[105],"deployment.":[106,150],"However,":[107],"remains":[109],"evolving":[111],"field":[112],"unclear":[114],"implications":[115],"researchers":[117],"professionals.":[119],"presents":[122],"that":[125],"leverages":[126],"Azure":[127,131],"cloud":[128],"tools,":[129],"i.e.,":[130],"(AML),":[134],"Terraform,":[135],"GitHub":[137,232],"Actions,":[138],"automate":[140],"pipeline,":[143],"dataset":[145],"preparation":[146],"real-time":[148,256],"API":[149],"It":[151],"also":[152],"incorporates":[153],"MLflow":[154],"open":[157],"source":[158],"tool":[159],"streamline":[161],"lifecycle":[164],"experiment":[166],"tracking":[167],"performance":[169],"monitoring.":[170],"Healthcare,":[171],"particularly":[172],"chronic":[173],"illness":[174],"diabetes,":[178],"provides":[179],"high-stakes":[181],"data-rich":[183],"environment":[184,229],"validate":[186],"robustness":[188],"automated":[190],"frameworks.":[192],"study":[194],"uses":[195],"most":[197],"widely":[198],"used":[199],"\u201cPima":[200],"Indian":[201],"Diabetes":[202],"Datasets\u201d":[203],"scenario,":[205],"which":[206],"offers":[207],"structured,":[208],"clinically":[209],"relevant":[210],"data.":[211],"shortens":[214],"time":[216],"70%,":[218],"improves":[219],"reproducibility":[220],"across":[221],"achieves":[224],"secure":[225],"infrastructure":[226],"management":[227],"through":[228],"variables":[230],"secrets,":[233],"while":[234],"approval":[235],"gates":[236],"IAM":[238],"roles":[239],"ensure":[240],"proper":[241],"governance.":[242],"The":[243],"demonstrates":[245],"how":[246],"can":[248],"transform":[249],"workflows,":[251],"enhance":[252],"automation,":[253],"scalability,":[254],"decision-making":[257],"healthcare":[259],"prediction.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}
