Observability Driven Incident Management for Cloud-native Application Reliability

Authors: Anila Gogineni

DOI: https://doi.org/10.5281/zenodo.14880974

Short DOI: https://doi.org/g8494j

Country: USA

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Abstract: Cloud-native indeed tends to represent a new generation of software applications based on such principles as microservices, containerization, and real-time orchestration to achieve scalability, flexibility, and redundancy. However, these distributed systems add up considerable operational overheads due to system interdependence, workload fluctuations and frequently changing system status. These in turn often cause problems in identifying, diagnosing and solving these incidents, which in turn impacts the reliability of the service being offered. Through the lens of observability, we see monitoring as a way to solve complexities of cloud-native systems through the ability to get insights into their workings. The major difference between monitoring and observability is that while monitoring few metrics and thresholds, observing trains the capability to have visibility into the inner workings of systems on logs, metrics, and traces. It makes it easier to prevent issues before they arise, find out why they have occurred and close incidents quickly. The goal of this report is to analyze the part that observability plays in improving the reliability of cloud-native applications by using Incident Management as a prism. It puts forward a scalable model that folds observability into the experience of defining incidents and correlating them and applying remediation autonomously. Using key principles, existing tools, and practical implementations, the report proves that observability is revolutionizing MTTR and System Uptime.

Keywords: Cloud-Native Applications, Microservices Architecture, Observability, Root Cause Analysis, Service Monitoring, Kubernetes, Grafana, Cloud Monitoring, Data Pipelines, Cloud Infrastructure.

Paper Id: 232137

Published On: 2021-04-07

Published In: Volume 9, Issue 2, March-April 2021

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