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Monitoring as Code Simplified: Addressing Adoption Roadblocks for Modern Observability

Author(s) Lakshmi Narasimha Rohith Samudrala
Country United States
Abstract As modern software development progresses towards automation and scalability, Monitoring as Code (MaC) has emerged as a critical approach to integrate observability directly into the software development lifecycle. MaC treats monitoring configurations as code, it ensures consistency, reduces manual effort, and enables proactive issue detection. However, its adoption presents challenges, including tooling complexity, cross-team collaboration, governance issues, and skill gaps. This paper explores these adoption roadblocks and provides strategies to overcome them. Additionally, it examines future trends such as AI-driven monitoring, GitOps-based observability, self-healing systems, and OpenTelemetry standardization, which are shaping the next generation of automated observability. By leveraging MaC, organizations can transition from reactive monitoring to proactive observability, ensuring resilience, performance, and operational efficiency in modern cloud-native architectures.
Keywords Monitoring as Code (MaC), Observability, Infrastructure as Code (IaC), CI/CD Integration, GitOps, AI in Observability, Automated Monitoring, Self-Healing Systems, OpenTelemetry, Site Reliability Engineering (SRE), Cloud-Native Monitoring, DevOps, Predictive Analytics, Performance Optimization, Security and Compliance Automation
Field Engineering
Published In Volume 4, Issue 5, May 2023
Published On 2023-05-10
Cite This Monitoring as Code Simplified: Addressing Adoption Roadblocks for Modern Observability - Lakshmi Narasimha Rohith Samudrala - IJLRP Volume 4, Issue 5, May 2023. DOI 10.5281/zenodo.15026392
DOI https://doi.org/10.5281/zenodo.15026392
Short DOI https://doi.org/g88f4c
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