Susobhit Panigrahi
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 6 in the filters
on a stage with
- Amir Langeronce
- Brennen Smithonce
- Doron Sekleronce
all 9 in the filters
who talks about the same things
- Yuri Shkuro10 talks
- Simon Zeltser2 talks
- Prashansa Kulshrestha3 talks
- Pavol Loffay18 talks
- Ben Sigelman7 talks
- Suman Karumuri9 talks
| title | conference | date |
|---|---|---|
| Cognitive and Self-Adaptive System for Effective Distributed-Tracing | Open Source Monitoring Conference 2025 | 2025-11-18 |
Claims an span aggregator and a trace clusterer that uses density-based DBSCAN on hundreds of feature vectors to drive self-adaptive sampling, replacing random… | ||
| Cognitive and SelfAdaptive System for Distributed Tracing | ContainerCon @ Open Source Summit Europe 2024 | 2024-09-16 |
Built an adaptive sampling layer over Jaeger and Zipkin that shifts from 1–5% random head sampling to tail-based sampling using semi-supervised density… | ||
| Lightning Talk: Cognitive and SelfAdaptive System for Distributed Tracing | Open Source Summit Europe 2024 | 2024-09-16 |
Claims a machine‑learned, tail‑based sampler layered over Jaeger/OpenTracing that replaces random 1–5% head sampling with a density‑aware semi‑supervised model… | ||
| Distributed Tracing: Adaptive and Telemetry-Based Approach for Effective... | SREcon23 Asia/Pacific | 2023-06-14 |
Claims an adaptive tracing layer that combines head+tail sampling with a density‑based clustering sampler, using feature vectors (operation path, service name… | ||
| Cognitive and Self-Adaptive System for Effective Distributed-Tracing... | SREcon22 Asia/Pacific | 2022-12-07 |
Applications keep existing Jaeger/Zipkin instrumentation while libraries send spans to a span aggregator that merges partial spans, clusters traces by… | ||
| Lightning Talks | SREcon19 Europe/Middle East/Africa | 2019-10-02 |
Ten rapid case studies: a lemonade-as-a-service model shows 100% availability drives exploding cost (machines raise price to €1.12, need N+2); causal loop… | ||
| nothing matches | ||