Can you evaluate the current state of eBPF-based profiling tools for identifying latency bottlenecks in production Go applications without heavy instrumentation?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you evaluate the current state of eBPF-based profiling tools for identifying latency bottlenecks in production Go applications without heavy instrumentation?
4 real searches · 1 real-search pass
2026 eBPF continuous profiling Go applications production Pyroscope Parca Grafana Beyla Go stack unwinding supportGoogle ↗
OBSERVEDReason
Grafana Pyroscope eBPF profiling Go support documentation ebpf profilerGoogle ↗
OBSERVEDReason
Parca eBPF profiler Go support documentation production profilingGoogle ↗
OBSERVEDOther / navigational
Grafana Beyla Go application tracing eBPF HTTP gRPC latency documentationGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (4)
Classes come from the query-classifier (a local Laya model). 4 of 4 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT4 real searches · gpt-6
2026 eBPF continuous profiling Go applications production Pyroscope Parca Grafana Beyla Go stack unwinding support Google ↗
Grafana Pyroscope eBPF profiling Go support documentation ebpf profiler Google ↗
Parca eBPF profiler Go support documentation production profiling Google ↗
Grafana Beyla Go application tracing eBPF HTTP gRPC latency documentation Google ↗
- Configure the client to send profiles · grafana.com
- Set up profiling with eBPF with Grafana Alloy · grafana.com
- OpenTelemetry Profiles Enters Public Alpha · opentelemetry.io
- Profile types and instrumentation · grafana.com
- Overview · parca.dev
- GitHub - parca-dev/parca-agent: eBPF based always-on CPU/GPU profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed! · github.com
- Grafana Beyla · grafana.com
- GitHub - grafana/beyla: eBPF-based autoinstrumentation of web applications and network metrics · github.com
- Distributed traces with Beyla · grafana.com
- GitHub - open-telemetry/opentelemetry-ebpf-profiler: The production-scale datacenter profiler (C/C++, Go, Rust, Python, Java, NodeJS, .NET, PHP, Ruby, Perl, ...) · github.com
- Diagnostics · go.dev
- pprof package - runtime/pprof · pkg.go.dev
- ebpf-profiler command - go.opentelemetry.io/ebpf-profiler · pkg.go.dev
- pyroscope.ebpf · grafana.com
Queries
4 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 eBPF continuous profiling Go applications production Pyroscope Parca Grafana Beyla Go stack unwinding support OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Grafana Pyroscope eBPF profiling Go support documentation ebpf profiler OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Parca eBPF profiler Go support documentation production profiling OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Grafana Beyla Go application tracing eBPF HTTP gRPC latency documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |