Best Elixir APM Tools in 2026: A Developer’s Guide

Last updated: May 2026

Elixir applications have performance characteristics that are genuinely different from Ruby or Python. The BEAM virtual machine handles concurrency through lightweight processes, supervision trees restart failed processes automatically, and Phoenix channels can hold tens of thousands of persistent connections on a single node. These are strengths, but they also mean that the performance problems you encounter are different from what most APM tools were built to detect.

The common issues in production Elixir applications are: Ecto queries that look fine in development but degrade under load (including N+1 patterns from misplaced Repo.preload/2 calls), GenServer bottlenecks where a single process becomes a serialization point, memory growth in long-lived processes, and message queue buildup in processes that cannot keep up with incoming work. A monitoring tool that understands these patterns is more useful than one that just reports response times and error counts.

Here is a practical look at the main options for Elixir teams.

What to Prioritize

The Elixir APM market is smaller than Ruby or Python, and the tools vary significantly in how deeply they understand BEAM-specific patterns. Some tools provide real Elixir instrumentation. Others offer generic language support that misses the concurrency model entirely.

The relevant questions when evaluating are: Does the tool understand Phoenix and Ecto specifically, or is it treating Elixir as a generic HTTP application? Does it integrate error monitoring and log management, or will you need separate products? Can it surface Ecto query patterns (including N+1s) without manual investigation? And does the pricing model make sense for high-concurrency applications where request counts can be high relative to infrastructure cost?

Scout

Scout provides integrated APM, error monitoring, and log management for Elixir applications. Phoenix requests, Ecto queries, and background jobs are instrumented automatically. When something goes wrong, you see the trace, the error, the surrounding logs, and the database queries together in one view.

For Elixir teams specifically, Scout’s N+1 query detection works with Ecto. While Ecto’s explicit preloading model makes accidental N+1s less common than in ActiveRecord, they still happen, particularly when Repo.preload/2 is called inside an Enum.each or when LiveView callbacks load associations one at a time. Scout identifies these patterns automatically and shows the exact code location.

Memory bloat detection is useful for long-lived BEAM processes. Rather than just showing host-level memory metrics, Scout identifies where memory is being allocated at the application level. This matters when you are trying to figure out whether a GenServer is accumulating state or whether a particular request pattern is allocating more than it should.

Scout also supports Ruby, Python, and PHP. If your team runs Elixir alongside a Rails or Django service, one tool covers the whole stack. Setup takes about 5 minutes: add {:scout_apm, "~> 2.0"} to your mix.exs, drop in the config, and add use ScoutApm.Instrumentation to your web module.

Pricing uses simple transaction-based tiers. If you get an unexpected traffic surge, Scout absorbs the overage rather than billing you for it. The Scout MCP server connects AI coding assistants like Claude or Cursor directly to your Scout data, so you can query your application’s performance in natural language from within your editor. The Scout CLI lets you pull traces, errors, and metrics from your terminal and pipe the output into AI tools.

Best for: Elixir teams who want errors, logs, and traces in one tool with automatic Ecto N+1 detection and predictable pricing. Also the right choice for teams running Elixir alongside other frameworks.

Limitations: Focused on application monitoring, so it does not include host metrics or infrastructure monitoring. Supports Ruby, Python, PHP, and Elixir rather than broad polyglot coverage.

AppSignal

AppSignal has genuine roots in the Elixir community and provides solid BEAM-aware instrumentation. APM, error tracking, host metrics, and uptime monitoring are included in one product. The Elixir integration understands Phoenix, Ecto, Oban, and Absinthe, and the BEAM-specific dashboard shows VM metrics like process counts, atom usage, and scheduler utilization that most other tools do not surface.

The host metrics integration (CPU, memory, disk, network) is useful for teams who want application and infrastructure visibility in one place without a separate monitoring product. Anomaly detection can alert you to deviations in response time or error rate before they become user-visible.

AppSignal does not include log management, so you will need a separate tool for that. Automatic N+1 detection is less prominent than Scout’s. You are more likely to find query performance issues through transaction analysis than through the tool flagging them for you directly. Pricing is request-based.

Best for: Elixir teams who want APM, error tracking, and host metrics in one product, particularly if they also use Oban or Absinthe and want those instrumented out of the box.

Limitations: No log management. N+1 detection requires more manual investigation. Request-based pricing.

New Relic

New Relic is a comprehensive observability platform. Elixir APM is one component alongside infrastructure monitoring, log management, browser monitoring, synthetics, and more. The Elixir agent provides distributed tracing and transaction monitoring for Phoenix applications, though it is not as specialized for BEAM-specific patterns as tools built for Elixir specifically.

The case for New Relic is cross-stack correlation: connecting Elixir application performance to infrastructure health, browser events, and services written in other languages. For organizations with dedicated DevOps bandwidth and polyglot environments, that unified view is useful.

The Elixir agent covers Phoenix and Ecto basics but does not provide BEAM VM-specific metrics (process counts, scheduler stats, message queue depths) at the same level as AppSignal. Pricing is per GB of data ingested plus per-user fees, with a free tier. Costs require active monitoring to stay in check.

Best for: Organizations wanting a single platform for all observability needs, or teams with polyglot environments who want consistent tooling across Elixir and other languages.

Limitations: Less specialized for BEAM/Elixir patterns. No BEAM VM dashboard. Steeper learning curve. Pricing can be less predictable as data volume grows.

Datadog

Datadog is an enterprise observability platform. Elixir APM integrates with infrastructure, log, and security monitoring. The Elixir tracing library (dd-trace-elixir) provides distributed tracing for Phoenix and Ecto, and it works well for microservices architectures where you need to trace requests across services written in different languages.

For Elixir teams who need infrastructure-level visibility alongside APM and are already using Datadog for other parts of their stack, adding Elixir tracing is straightforward. For teams who primarily want to understand why their Phoenix application is slow, the complexity and per-host pricing with feature add-ons tends to be more than the job requires.

Best for: DevOps and SRE teams managing complex infrastructure who want a single vendor for observability across Elixir and other services.

Limitations: Enterprise pricing and complexity. Limited BEAM-specific instrumentation compared to tools built for Elixir.

PromEx + Prometheus + Grafana

PromEx is an open-source Elixir library that exposes BEAM and application metrics in Prometheus format with pre-built Grafana dashboards. This is the self-hosted, open-source option. PromEx provides plugins for Phoenix, Ecto, Oban, Broadway, and LiveView, and the BEAM VM metrics are comprehensive: process info, memory breakdown by type, scheduler utilization, ETS table stats, and more.

The tradeoff is that this is a metrics pipeline, not an APM product. You get dashboards and alerting, but not transaction traces, error grouping, or log management. Finding the root cause of a slow request requires correlating metrics manually rather than clicking into a trace. Setup and maintenance are your responsibility: you need to run Prometheus and Grafana (or use a managed provider) and configure retention, alerting, and dashboards yourself.

For teams with existing Prometheus/Grafana infrastructure and the operational bandwidth to maintain it, PromEx provides the deepest BEAM-specific metrics available. For teams who want answers without building a monitoring stack, a managed APM product will be more productive.

Best for: Teams with existing Prometheus/Grafana infrastructure who want deep BEAM metrics and are comfortable building their own dashboards and alert rules.

Limitations: Metrics only, no traces or error tracking. Requires self-hosting and maintenance. Root cause analysis is manual. No built-in log management.

Elixir-Specific Considerations

Ecto N+1 queries are less common in Elixir than in Rails because Ecto does not lazy-load associations. But they still happen when Repo.preload/2 is called inside a loop, when LiveView callbacks load associations one at a time, or when Oban workers process records without batching. Scout detects these automatically. AppSignal and New Relic surface query performance data but leave N+1 pattern identification to you. PromEx shows query counts and timing but not query patterns.

BEAM VM visibility matters for Elixir applications in a way that has no equivalent in Ruby or Python. Process counts, scheduler utilization, message queue depths, and atom table usage are all operationally relevant. AppSignal and PromEx provide dedicated BEAM dashboards. Scout and New Relic focus on application-level metrics. Datadog provides basic BEAM metrics through its StatsD integration.

LiveView and Channels create persistent connections that do not fit the traditional request/response APM model. PromEx has a LiveView plugin that tracks mount times and event handling. AppSignal instruments LiveView events. Scout and New Relic focus on the HTTP request layer. If LiveView performance is a primary concern, check the specific tool’s LiveView support before committing.

Background jobs: Oban is the dominant job processor in Elixir. AppSignal instruments Oban out of the box. PromEx has an Oban plugin. Scout monitors background job performance through its general instrumentation. If you are using Broadway for data pipelines, PromEx has a Broadway plugin as well.

Choosing

For Elixir teams who want integrated APM, errors, and logs with automatic Ecto N+1 detection and straightforward pricing, Scout is the most complete focused solution. For teams who want APM, error tracking, and host metrics with deep BEAM VM visibility, AppSignal is well-regarded in the Elixir community. For full-stack observability spanning infrastructure, browser, and mobile with dedicated DevOps resources, New Relic or Datadog are the platform options. For teams with existing Prometheus/Grafana who want the deepest BEAM metrics and are comfortable self-hosting, PromEx is the open-source choice.

If you are evaluating Scout, see what we do for Elixir teams or start a free trial and see results in minutes. No credit card required, and our free tier means you can keep monitoring after the trial ends. For application monitoring with errors, logs, and traces, we provide the fastest path to useful information without the bloat.

This guide reflects the monitoring landscape as of May 2026. Products and pricing change, so verify current capabilities on each vendor’s website before making a decision.