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 New Relic APM in application performance monitoring (apm) workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
These projects match the most common migration paths for teams replacing New Relic APM.
Why teams pick it
Control your scheduling stack on your own infrastructure.
Run on infrastructure you control
Recent commits in the last 6 months
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to New Relic APM.
Why teams pick it
Keep customer data in-house with privacy-focused tooling.
Petabyte‑scale observability platform, 10x easier, 140x cheaper
Why teams choose it
Watch for
Enterprise‑only features like SSO and advanced RBAC require a paid plan
Migration highlight
Kubernetes log aggregation
Reduce storage cost up to 140× while retaining fast query performance
Scalable, high-performance networking and security for cloud-native workloads
Real-time tracing and topology for large-scale Java, PHP, Python services
Unified tracing, metrics, and logs platform for modern applications
Real-time error tracking and performance monitoring for developers
Unified observability: logs, metrics, and traces in one UI
Cloud-native APM for distributed tracing and observability
Teams replacing New Relic APM in application performance monitoring (apm) 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 New Relic APM.
Why teams choose it
Migration highlight
Multi‑cloud Kubernetes networking
Unified pod communication across AWS, GCP, and on‑prem with consistent policies
Why teams choose it
Watch for
Primary focus on Java; PHP/Python support via separate agents
Migration highlight
Identify latency bottlenecks in a multi‑service transaction
Pinpoint visualizes the call chain, highlighting slow nodes and thread usage, enabling targeted optimization.
Why teams choose it
Watch for
Requires both ClickHouse and PostgreSQL to be provisioned
Migration highlight
Microservice latency troubleshooting
Correlate traces, metrics, and logs to pinpoint slow endpoints and reduce response times.
Why teams choose it
Watch for
Self‑hosting requires infrastructure and maintenance
Migration highlight
Web application crash monitoring
Capture unhandled exceptions, group similar crashes, and notify developers instantly, reducing mean time to resolution.
Why teams choose it
Watch for
Self‑hosting requires Docker/Kubernetes expertise
Migration highlight
Root‑cause analysis of latency spikes
Correlate p99 latency metrics with trace flamegraphs and log entries to pinpoint bottlenecks.
Why teams choose it
Watch for
Steeper learning curve compared to simpler APM solutions
Migration highlight
Microservices Performance Troubleshooting
Trace requests across 50+ services to identify latency bottlenecks and optimize critical user journeys in production.