mlsanityData to 7 Oct 2026

A Survey of DevOps Concepts and Challenges

arXiv 1909.05409 ↗First posted 12 Sep 2019cs.SEcited by 12

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Abstract (arXiv)

DevOps is a collaborative and multidisciplinary organizational effort to automate continuous delivery of new software updates while guaranteeing their correctness and reliability. The present survey investigates and discusses DevOps challenges from the perspective of engineers, managers, and researchers. We review the literature and develop a DevOps conceptual map, correlating the DevOps automation tools with these concepts. We then discuss their practical implications for engineers, managers, and researchers. Finally, we critically explore some of the most relevant DevOps challenges reported by the literature.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Sep 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 3; 2024: 1; 2025: 4; 2026: 2.

12 papers.

  1. 2022Machine Learning Operations (MLOps): Overview, Definition, and Architecturecited by 126
  2. 2022Operationalizing Machine Learning: An Interview Studycited by 25
  3. 2023MLOps: A Reviewcited by 16
  4. 2024Continuous fake media detection: adapting deepfake detectors to new generative techniquescited by 6
  5. 2023Scalable End-to-End ML Platforms: from AutoML to Self-servecited by 2
  6. 2025AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compressioncited by 2
  7. 2025IaC Generation with LLMs: An Error Taxonomy and A Study on Configuration Knowledge Injectioncited by 2
  8. 2023CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Modelscited by 0
  9. 2025CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answeringcited by 0
  10. 2025Dialogue Systems Engineering: A Survey and Future Directionscited by 0
  11. 2026CCCE: A Continuous Code Calibration Engine for Autonomous Enterprise Codebase Maintenance via Knowledge Graph Traversal and Adaptive Decision Gatingcited by 0
  12. 2026STLGT: A Scalable Trace-Based Linear Graph Transformer for Tail Latency Prediction in Microservicescited by 0