Many large enterprise and cloud deployments rely on metrics observability solutions (e.g., Prometheus) to monitor key performance indicators of system health (e.g., CPU, memory, network, app-level statistics). Monitoring and analyzing these metrics presents a significant challenge in terms of cost-latency tradeoffs at...
Milind Srivastava, Ze-Ying Zhu, Pei-Lin Xin et al.· 0 citations
Across many domains (e.g., observability, networking, security), data processing pipelines face what we refer to as the CSP problem: achieving low Cost at large Scale, while maintaining high Performance. In response, we see several efforts to tackle CSP in various stages of the Collect-Transmit-Store-Analyze data lifec...
Milind Srivastava, Zeying Zhu, Yajie Zhou et al.· 0 citations
We present zk-Analytics, a distributed cloud analytics system that enables publicly verifiable analytics without revealing raw logs or relying on trusted hardware in analytics providers' infrastructure. Today's cloud analytics are largely self-assertive: providers collect telemetry, perform aggregation, and report resu...
Zeying Zhu, Clarence Lam, Alexander Frolov et al.· Conference on Applications,...· 0 citations
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