Time Series Similarity Ranking for Automated Remediation
We hypothesize a correlation engine that can recognize the similarity distance between time series of unequal size and shape assists in automated
remediation, especially for a multi-tiered infrastrucutre such as Kubernetes.
Agentless Monitoring for Continuous Real-Time AnalyticsTraditional agent-based monitoring solutions are not portable
enough for cloud native monitoring. Instead, software engineers are
increasingly embracing CNCF-graduated Prometheus for its easy deployment
and metrics exposition, a large number of third-party exporters, active data scraping,
multi-dimensional data model, flexible PromQL, single node storage,
and built-in alerting/visualization support. However, Prometheus lacks horizontal scalability,
multi-tenancy, and distributed storage. We are solving these problems by
leveraging Prometheus' remote write API through which
we receive data from multiple Prometheus instances to ensure horizontal scalability,
and multi-tenancy. We also store metrics for our time series analytics.
Unlike other standard open source projects such as M4, Cortex,
our monitoring platform is optimized for continuous real-time analytics.