Sidekiq Performance Monitoring
Per-job timing, queue metrics, memory bloat detection, and error tracking for your Sidekiq workers. Scout's Ruby agent instruments Sidekiq automatically with no configuration. Connects job failures to the full trace and surrounding log lines so you see exactly what went wrong.
Errors, Logs, and Traces
Errors, Logs, and Traces for Every Sidekiq Job
Scout connects Sidekiq job failures to the full transaction trace and surrounding log lines in a single view. When a worker raises an exception, you see the error, the job trace with timing for every operation, and the log output together. No correlation by timestamp, no switching between tools.
Error Monitoring
Automatic exception capture for every Sidekiq worker class. Errors are grouped by job type, linked to the originating trace, and enriched with job arguments and queue context so you know which jobs are failing and why.
Log Management
Log output from Sidekiq workers is enriched with trace context. Filter logs by trace ID to see exactly what a specific job execution did, including any ActiveRecord queries, Redis calls, and HTTP requests it made.
App Traces
Every Sidekiq job execution appears as its own transaction in Scout with per-operation timing. See time spent in ActiveRecord, Redis, external HTTP calls, and your application code broken out by job class and queue.
Query Analysis
N+1 Detection Inside Sidekiq Jobs
Scout automatically detects N+1 query patterns in ActiveRecord within Sidekiq jobs, not just web requests. If a background job is triggering repeated queries in a loop, Scout identifies the pattern, shows the code location, and reports the total performance impact. No configuration required.
Auto-Instrumentation
What Scout Instruments in Your Sidekiq Workers
Scout's Ruby agent auto-instruments Sidekiq jobs with per-execution timing, queue metrics, and error tracking. ActiveRecord queries, Redis calls, and HTTP client requests made inside jobs are all captured automatically. Memory allocation is tracked per job so you can identify which workers are growing memory over time.
Supported Frameworks
Works with the Sidekiq frameworks you already use
Scout auto-instruments the frameworks and libraries in your stack. No manual configuration required.
Background Jobs
- Sidekiq
- Resque
- GoodJob
- Solid Queue
- DelayedJob
- Shoryuken
- Sneakers
Databases
- ActiveRecord
- Redis
- ElasticSearch
- Mongoid
HTTP Clients
- Net::HTTP
- HTTPClient
- Typhoeus
Memory Profiling
Memory Bloat Detection for Sidekiq Workers
Sidekiq workers that process large payloads or hold object references across jobs can accumulate memory over time. Scout detects memory bloat at the job level, showing which worker classes and code paths are responsible for memory growth. This requires Ruby 2.1+ and gives you the specific job causing the issue, not just a host-level memory graph trending up.
AI Native
Query Your Sidekiq App Data from AI Assistants and the Terminal
Scout offers hosted and local MCP servers with 17 tools, a Go CLI available via Homebrew with TOON format for LLM output, and a public API. Query your Sidekiq job performance, error rates, queue metrics, and N+1 insights from Claude Code, Cursor, or the terminal.
MCP Server
Hosted or local MCP server with 17 tools covering apps, endpoints, traces, errors, insights, background jobs, and usage data. Works with Claude Code, Cursor, VS Code Copilot, and any MCP-enabled assistant.
Scout CLI
Go binary available via Homebrew. Query app metrics, endpoint performance, traces, error groups, and insights from the terminal. Outputs human-friendly tables or TOON format for LLM consumption.
Public API
Full programmatic access to your monitoring data for building custom integrations, dashboards, or automation workflows.
Get Started in Minutes
Add Scout to Your Sidekiq App
Get Scout running on your Rails and Sidekiq app in under 3 minutes.
Add to your Gemfile:
gem 'scout_apm'Run:
bundle installDownload your customized config file, placing it at config/scout_apm.yml.
Deploy.
FAQ
Sidekiq Monitoring FAQ
What is the best monitoring tool for Sidekiq?
Scout Monitoring instruments Sidekiq automatically with no configuration. Every job execution appears as its own transaction with per-operation timing, queue metrics, error tracking, N+1 detection in ActiveRecord, and memory bloat detection. Errors are linked to the full job trace and surrounding log output so you see exactly what went wrong without switching tools.
How do I monitor Sidekiq job performance?
Scout's Ruby agent instruments Sidekiq out of the box. Add the scout_apm gem to your Gemfile, bundle, and deploy. Every Sidekiq job execution appears in Scout with timing broken down by ActiveRecord queries, Redis calls, HTTP requests, and application code. No wrapper modules or manual spans required.
How do I detect memory bloat in Sidekiq workers?
Scout detects memory bloat at the job level in Sidekiq workers. The agent tracks memory allocation per job execution and surfaces which worker classes are responsible for memory growth over time. This requires Ruby 2.1+ and tells you the specific job causing the increase, rather than just showing host-level memory trending up.
How do I track Sidekiq job errors with Scout?
Scout captures exceptions from Sidekiq workers automatically. Each error is grouped by job class, linked to the originating job trace, and shown alongside the log output from that execution. You see the error, the full trace with operation timing, and the surrounding logs in one view. Job arguments and queue context are attached to help you reproduce the failure.
Does Scout show Sidekiq queue metrics?
Yes. Scout tracks per-job execution timing and error rates across your Sidekiq queues. You can see which job classes are slowest, which are failing most frequently, and which are growing memory. Queue depth and throughput metrics are available alongside the transaction-level data.
Does Scout detect N+1 queries inside Sidekiq jobs?
Yes. Scout automatically detects N+1 query patterns in ActiveRecord within Sidekiq job executions, not just web requests. If a background job triggers repeated queries in a loop, Scout identifies the pattern, shows the code location, and reports the total time wasted. No configuration required.
Does Scout support other Ruby background job frameworks?
Yes. In addition to Sidekiq, Scout auto-instruments Resque, GoodJob, Solid Queue, DelayedJob, Shoryuken, and Sneakers. Each job framework appears with per-job timing and error tracking. Memory bloat detection applies across all supported frameworks.
Can I use Scout with Claude Code or Cursor to debug Sidekiq issues?
Yes. Scout offers hosted and local MCP servers with 17 tools that work with Claude Code, Cursor, VS Code Copilot, and any MCP-enabled assistant. You can query Sidekiq job error rates, slow job traces, N+1 insights, and memory bloat data in natural language from your editor. The Scout CLI, available via Homebrew, gives terminal access to the same data in TOON format for LLM consumption.