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Heroku Architecture
- Compute (Dynos)
  - Dyno Management
  - Dyno Concepts
  - Dyno Behavior
  - Dyno Reference
  - Dyno Troubleshooting
- Stacks (operating system images)
- Networking & DNS
- Platform Policies
- Platform Principles

Command Line

Deployment
- Deploying with Git
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Continuous Delivery & Integration
- Continuous Integration

Language Support
- Node.js
- Ruby
  - Working with Bundler
  - Rails Support
- Python
  - Working with Django
  - Background Jobs in Python
- Java
  - Working with Maven
  - Java Database Operations
  - Java Advanced Topics
  - Working with Spring Boot
- PHP
- Go
  - Go Dependency Management
- Scala
- Clojure

Databases & Data Management
- Heroku Postgres
  - Postgres Basics
  - Postgres Getting Started
  - Postgres Performance
  - Postgres Data Transfer & Preservation
  - Postgres Availability
  - Postgres Special Topics
- Heroku Key-Value Store
- Apache Kafka on Heroku
- Other Data Stores

Monitoring & Metrics
- Logging

App Performance

Add-ons
- All Add-ons

Collaboration

Security
- App Security
- Identities & Authentication
  - Single Sign-on (SSO)
- Compliance

Heroku Enterprise
- Private Spaces
  - Infrastructure Networking
- Enterprise Accounts
- Enterprise Teams
- Heroku Connect (Salesforce sync)
  - Heroku Connect Administration
  - Heroku Connect Reference
  - Heroku Connect Troubleshooting

Patterns & Best Practices

Extending Heroku
- Platform API
- App Webhooks
- Heroku Labs
- Building Add-ons
  - Add-on Development Tasks
  - Add-on APIs
  - Add-on Guidelines & Requirements
- Building CLI Plugins
- Developing Buildpacks
- Dev Center

Accounts & Billing

Troubleshooting & Support

Integrating with Salesforce

Python v3.3.1 Support

Change effective on 09 April 2013

Heroku now supports Python v3.3.1. You can specify a version with a runtime.txt file.

Increased log timestamp precision Heroku Python with updated Pip and Distribute