Find Open-Source Alternatives
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Compare community-driven replacements for AWS X-Ray in distributed tracing workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
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MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to AWS X-Ray.
These projects match the most common migration paths for teams replacing AWS X-Ray.
Why teams pick it
2‑10 % runtime overhead, no code changes required
Why teams pick it
Multiple visualizations: Chrome trace, flame graphs, Graphviz & Mermaid
Comprehensive function call tracing for native and kernel code
Why teams choose it
Watch for
Requires unstripped binaries or separate symbol files for full detail
Migration highlight
Identify slow functions in a C++ server
Pinpoint functions consuming the most CPU time and optimize them, reducing request latency by measurable percentages.
High‑resolution, low‑overhead tracing of every function call
Programmable observability platform built for developers
Why teams choose it
Powerful, scriptable eBPF tracing for Linux with awk-like syntax
End‑to‑end distributed tracing for cloud‑native applications at scale
Trace, visualize, and troubleshoot latency across microservices
Scalable, cost-efficient tracing backend with seamless Grafana integration
Structured, event-based diagnostics for Rust applications and libraries
Unified tracing, metrics, and context propagation for JVM applications
Why teams choose it
Teams replacing AWS X-Ray in distributed tracing workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from AWS X-Ray.
Why teams choose it
Watch for
Supports only Intel CPUs (Skylake or newer)
Migration highlight
Investigate intermittent latency spikes
Identify the exact function call chain and hidden page faults causing delays
Watch for
Core observability features still in development (pre-V1.0)
Migration highlight
Custom APM Dashboard
Build tailored application performance monitoring with OpenTelemetry traces, custom metrics aggregation via WebAssembly plugins, and interactive drill-down workflows.
Why teams choose it
Watch for
Requires a recent Linux kernel with eBPF support
Migration highlight
Identify high‑latency syscalls per process
Generate per‑process histograms of syscall durations to pinpoint bottlenecks.
Why teams choose it
Watch for
Requires separate storage backend configuration
Migration highlight
Root‑cause latency analysis
Correlate spans across services to pinpoint slow operations and reduce request latency.
Why teams choose it
Watch for
Requires instrumentation of each service
Migration highlight
Debugging high latency in a payment service
Identify slow downstream calls and visualize the call chain to pinpoint bottlenecks.
Why teams choose it
Watch for
Limited built‑in alerting; relies on external systems
Migration highlight
Identify latency bottlenecks in a Kubernetes microservice mesh
Engineers use the Traces Drilldown UI to pinpoint slow spans, reducing request latency by 30%.
Why teams choose it
Watch for
Steeper learning curve than simple `log`
Migration highlight
Async request handling
Correlate inbound request spans with downstream service calls for end‑to‑end latency analysis.
Watch for
License not explicitly stated (NOASSERTION)
Migration highlight
Microservice latency analysis
Identify slow endpoints across services by correlating traces and latency metrics.