Real-Time Monitoring for Heroku Apps: A Practical Guide for Engineers

Real-Time Monitoring for Heroku Apps: A Practical Guide for Engineers

Table of Contents

Running production on Heroku? Then real-time monitoring isn’t optional — it’s essential. Whether you’re a solo developer, a growing SaaS team, or part of a platform engineering group, visibility into your Heroku-hosted application is crucial for reliability, performance, and cost control.

This guide explains how to implement effective real-time monitoring on Heroku using Hosted Graphite by MetricFire — with clear steps, tooling recommendations, and insights from real-world use.

Heroku offers many monitoring tools that include, but are not limited to:

  • Logging tools - collecting and storing your Heroku app and database logs.
  • Error monitoring tools - capturing exceptions and errors thrown by your app.
  • Real-time Monitoring tools - showing metrics on app performance
  • Bonus tip: Installing the HG Heroku Monitoring Add-on

Why Monitoring on Heroku Matters

Heroku simplifies infrastructure — but abstraction doesn’t eliminate responsibility. You’re still accountable for uptime, performance bottlenecks, and API responsiveness.

Here’s what can go wrong without good monitoring:

  • Dynos restart unexpectedly, and you miss it until users complain

  • A background job silently fails, leaving critical work undone

  • A rogue deployment spikes memory, causing autoscaling churn and higher bills

  • HTTP endpoints slow down under load, and there's no trace of it in your logs

These are problems that log alone can’t fully catch. You need real-time metrics and alerts to stay ahead of issues.

Logging tools


Logging can provide you with up-to-date data on various metrics of your apps and databases. Database monitoring plays a crucial role in the success of a product. Curious readers can check out this article on Monitoring MongoDB Performance posted on MetricFire’s Blog.

A screenshot of various logging management tools

Error monitoring tools. 

Once you have a logging add-on, it is a good idea to install an error monitoring tool. Error monitoring tools capture exceptions or errors thrown by your app, whether they originate from your code, dependencies, or a framework. 

A screenshot of various Errors and Exceptions management tools

Real-time Monitoring Tools


Now when it comes to real-time monitoring, Heroku threshold alerting is a must-have in your monitoring portfolio. It provides you lightning-fast notice of performance issues, so you can resolve them before they cause downtime. You can set up threshold alerting for an app by enabling it in the Heroku dashboard.

A screenshot of Heroku's monitoring dashboard

Key Metrics to Monitor on Heroku

Here’s what you should be watching in production:

📊 System Metrics

  • CPU Load: Track average and peak CPU to identify slowdowns before they cascade

  • Memory Usage: Dynos with memory pressure can crash or throttle

  • Swap Activity: A sign your app needs more headroom

  • Disk I/O: Especially important for apps using local caching or large file handling

🔄 Process-Level Metrics

  • Throughput: Requests per second, job executions, background task frequency

  • Error Rates: 5xx status codes, timeouts, job failures

  • Queue Length: In Sidekiq, Delayed Job, or other workers

📉 Application-Specific Metrics

  • Cache hit ratios

  • Database query timings

  • API rate limits

  • External dependency latency (e.g. Stripe, SendGrid)

You should also instrument business KPIs like signups, transactions, and active sessions — because those matter just as much as server metrics.

Installing the HG Heroku Monitoring & Dashboards Add-on. 

A screenshot of Hosted Graphite's auto generated Heroku Dashboard

HG or Hosted Graphite provides a complete infrastructure and application monitoring platform from a suite of open-source monitoring tools. Using Hosted Graphite you can view all required metrics on beautiful Grafana dashboards in real-time. Hosted Graphite offers a wide range of tools, add-ons, and plugins that make it possible to measure, analyze, and visualize large amounts of data about your applications with ease. 

How to Monitor Heroku in Real Time with MetricFire

Heroku’s built-in dashboards are useful, but they’re limited to 24-hour history and lack custom alerting or long-term visualization. That’s where MetricFire comes in.

🔌 Step 1: Add the Hosted Graphite Heroku Add-on

Install the HG Heroku Monitoring & Dashboards add-on in your Heroku App. 

MetricFire’s Hosted Graphite is available as a native Heroku add-on. You can provision it with a single CLI command:

heroku addons:create hostedgraphite

This gives you access to:

  • A Graphite-compatible metrics backend

  • Pre-configured Grafana dashboards

  • Long-term storage (90+ days)

  • Alerting via Slack, email, PagerDuty, and more

📡 Step 2: Send Metrics from Your App

Heroku automatically emits system metrics (via heroku-dyno-metrics) to your Hosted Graphite account once the add-on is provisioned. But the real power comes from custom metrics.

You can send them from your app using StatsD or a Graphite client. Here’s an example in Ruby:

require 'statsd-instrument'
StatsD.increment("signup.completed")
StatsD.measure("checkout.duration", 243)

You can also track Sidekiq queue lengths, database query times, or HTTP response codes this way.

🧩 Step 3: Visualize Metrics in Grafana

MetricFire includes a hosted Grafana instance with your account. Use it to:

  • Build real-time dashboards

  • Compare metrics over time (day/week/month)

  • Share visualizations with team members or management

You can start with pre-built Heroku dashboards and customize from there. Once inside the platform add-on, head to Dashboards and select Import dashboard. 

A screenshot Hosted Graphite's main page with an arrow pointing to Grafana in the Dashboards tab on the side navbar
A screenshot of Grafana with an arrow pointing to the import feature in the Create tab on the side navbar


Then download this json file, and import it into the dashboard. Your Heroku Monitoring Dashboard should load right away!

A screenshot of Grafana's import page with an arrow pointing 'Upload .json file'
A screenshot of a Heroku dashboard after a json file has been imported to Grafana

🚨 Step 4: Set Up Alerts

Use Grafana alerting or MetricFire's native tools to trigger notifications when:

  • CPU load exceeds 80%

  • Memory use spikes

  • Error rate rises above 5%

  • Custom thresholds are breached (e.g. checkout duration > 2s)

Don’t wait for PagerDuty to wake you at 2 AM — get ahead of the problem with proactive alerts.

Case Study: How Teams Use This in Production

One SaaS team running a Rails + Sidekiq stack on Heroku uses MetricFire to:

  • Monitor Sidekiq job latency across queues

  • Visualize Redis memory use to avoid overflow

  • Alert on API failure spikes from Stripe and Twilio

  • Track business KPIs like new user activation and churn indicators

They reduced incident detection time by 65% and cut monthly costs by 30% by optimizing dyno sizes based on actual memory trends.


Why MetricFire Works Well for Heroku

  • Native Heroku integration: 1-command setup

  • Graphite-compatible: Works with any language

  • Custom metrics support: Not just system stats

  • Team-ready dashboards: Grafana included

  • Scales with you: From side projects to enterprise

Unlike heavier platforms like Datadog or New Relic, MetricFire is purpose-built for lean teams that need visibility without complexity.


Next Steps

Want to see it in action?
👉 Start a free 14-day trial
👉 Or add the Heroku add-on directly

Have questions? Our team is happy to walk you through best practices or help instrument your app. If you want to learn more about how to use this add-on with your Heroku app  book a demo with one of our engineers 

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