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With the promise of reliability in cloud, more enterprises are migrating tocloud. The process of continuous integration/deployment (CICD) in cloudconnects developers who need to deliver value faster and more transparentlywith site reliability engineers (SREs) who need to manage applicationsreliably. SREs feed back development issues to developers, and developerscommit fixes and trigger CICD to redeploy. The release cycle is more continuousthan ever, thus the code to production is faster and more automated. To providethis higher level agility, the cloud platforms become more complex in the faceof flexibility with deeper layers of virtualization. However, reliability doesnot come for free with all these complexities. Software engineers and SREs needto deal with wider information spectrum from virtualized layers. Therefore,providing correlated information with true positive evidences is critical toidentify the root cause of issues quickly in order to reduce mean time torecover (MTTR), performance metrics for SREs. Similarity, knowledge, orstatistics driven approaches have been effective, but with increasing datavolume and types, an individual approach is limited to correlate semanticrelations of different data sources. In this paper, we introduce FIXME toenhance software reliability with hybrid diagnosis approaches for enterprises.Our evaluation results show using hybrid diagnosis approach is about 17% betterin precision. The results are helpful for both practitioners and researchers todevelop hybrid diagnosis in the highly dynamic cloud environment.

FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud