Contextual Distributed Tracing for Applications

OpsCruise Contextual Tracing Support leverages existing CNCF tracing tools, such as Jaeger, OpenTelemetry, and others, to complement OpsCruise’s eBPF based flow analytics application graph.

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Maximum Observability . . . Minimum Impact

Monitoring Edge Clouds without the Added Performance Overhead 

The Distributed Tracing Challenge:

While distributed tracing is a powerful tool for in-depth application performance monitoring, analyzing high volumes of trace data to find the relevant traces is very challenging because it is time consuming, labor intensive, and requires resources with a complex skill-set, slowing down the MTTR.

End-to-end business level application performance monitoring

  • Follow requests from real-user, synthetic or browser test sessions to services, serverless functions, and databases
  • View traces and logs in context with automatic trace_id injection from Jaeger and other popular open source tools
  • Connect distributed traces to infrastructure metrics, network calls, and live processes
map

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See Every Trace Path with Trace Service Graph

  • Captures the execution path of each trace and aggregates them into trace path signatures
  • Real-time view of  each trace path’s performance.
  • Extends OpsCruise’s ML-based behavior model used for microservices to predictively detect problems in the trace path.
  • Complements OpsCruise’s flow analytics application graph that is generated without distributed tracing using only eBPF.
tracepath detail

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Live visibility, complete control

  • Dive into all ingested traces and service dependencies over the last 5 minutes
  • Resolve issues quicker with anomaly ML-based insights that automatically surface error, thru-put and latency outliers during active investigations
  • Retain only the traces that are most important to your business by setting custom tag-based retention filters
tracepath metrics

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Automated causal analysis and code level insights

  • Minimize service latency with a break-down of slow requests by time spent in code on CPU, GC, lock contention, and I/O
  • Optimize code and save on infrastructure costs with always-on, low overhead code profiling
  • Improve application performance by monitoring profile aggregations of services and endpoints and detecting bottlenecks in your code
  • Rationalize performance regressions caused by inefficient code by comparing code profiles using any timeframe and tag
traceview Jaeger

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TESTIMONIAL

Gorkey Vemulapalli

Gorkey Vemulapalli
Engineering Director
City of Hope

“OpsCruise is providing a novel way to combine thepower of eBPF and distributed tracing in an enterprise class platform.Engineers will be able to get key response time & latency information atthe URL level without any dependency on developers and then be able toseamlessly drill-down to the transaction level with very little overhead.”

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