Okay, let's create a design document for the delayed_job
project.
Business Priorities and Goals:
- Provide a reliable and robust background job processing mechanism for Ruby applications.
- Improve application responsiveness by offloading time-consuming tasks to background workers.
- Simplify the implementation of asynchronous operations within Ruby applications.
- Offer a flexible and extensible solution adaptable to various use cases and environments.
- Maintain a well-documented and easy-to-use library for developers.
- Ensure compatibility with popular Ruby frameworks, particularly Ruby on Rails.
Most Important Business Risks:
- Job processing failures leading to data inconsistencies or loss of critical operations.
- Performance bottlenecks in job processing impacting application scalability.
- Security vulnerabilities allowing unauthorized access or manipulation of job queues.
- Lack of monitoring and alerting, hindering timely detection and resolution of issues.
- Compatibility issues with different Ruby versions, frameworks, or database systems.
- Complexity in configuration or deployment, increasing operational overhead.
Existing Security Controls:
- security control: Delayed Job itself does not directly handle authentication or authorization. It relies on the application integrating it to manage user authentication and permissions.
- security control: The library does not inherently encrypt job data. Data encryption is the responsibility of the application using Delayed Job. (Described in application using Delayed Job)
- security control: Input validation is not a primary concern of Delayed Job itself. It's the responsibility of the application to sanitize any data passed to background jobs. (Described in application using Delayed Job)
- security control: Delayed Job provides mechanisms for retrying failed jobs, offering some resilience against transient errors. (Described in Delayed Job documentation)
- security control: The library supports different backends (like ActiveRecord, Mongoid) which may have their own security features and configurations. (Described in Delayed Job documentation)
Accepted Risks:
- accepted risk: The application using Delayed Job is responsible for securing sensitive data passed to background jobs. Delayed Job does not provide built-in encryption or data masking.
- accepted risk: The security of the database or other backend used by Delayed Job is outside the scope of the library itself.
- accepted risk: Delayed Job workers run with the same privileges as the application. Compromise of the application could lead to compromise of the workers.
Recommended Security Controls:
- security control: Implement robust monitoring and alerting for job queues, including failure rates, processing times, and queue lengths.
- security control: Regularly update Delayed Job and its dependencies to address security patches.
- security control: Consider using a dedicated, isolated user account for running Delayed Job workers, limiting their privileges to the minimum required.
- security control: Implement a robust logging strategy to capture job execution details, including any errors or exceptions.
- security control: If handling sensitive data, consider encrypting the job payload at the application level before enqueuing.
Security Requirements:
- Authentication: Not directly applicable to Delayed Job itself. The application integrating Delayed Job is responsible for authentication.
- Authorization: The application should ensure that only authorized users or processes can enqueue jobs. Delayed Job itself does not handle authorization.
- Input Validation: The application enqueuing jobs is responsible for validating and sanitizing all data passed to Delayed Job. This is crucial to prevent injection attacks or other vulnerabilities.
- Cryptography: If sensitive data is processed, the application should encrypt it before passing it to Delayed Job. Delayed Job does not provide built-in encryption. Consider using database-level encryption as well.
graph LR
A[User] --> B(Ruby Application);
B --> C(Delayed Job);
C --> D{Database};
B -.-> E(External Services);
C -.-> E;
classDef box fill:#ddd,stroke:#000,stroke-width:2px;
class B,C box;
Element Descriptions:
-
Element 1:
- Name: User
- Type: Person
- Description: A user interacting with the Ruby Application.
- Responsibilities: Initiates actions that may result in background jobs being enqueued.
- Security Controls: Authentication and authorization are handled by the Ruby Application.
-
Element 2:
- Name: Ruby Application
- Type: Software System
- Description: The application that integrates Delayed Job for background processing.
- Responsibilities: Enqueues jobs, handles user requests, interacts with external services.
- Security Controls: Authentication, authorization, input validation, data encryption (if applicable).
-
Element 3:
- Name: Delayed Job
- Type: Software System
- Description: The background job processing library.
- Responsibilities: Manages the job queue, executes jobs, handles retries.
- Security Controls: Relies on the application and database for security.
-
Element 4:
- Name: Database
- Type: Database
- Description: Stores job queue data.
- Responsibilities: Persists job information.
- Security Controls: Database access controls, encryption at rest (if applicable).
-
Element 5:
- Name: External Services
- Type: Software System
- Description: Any external services that the Ruby Application or Delayed Job interacts with.
- Responsibilities: Varies depending on the specific service.
- Security Controls: Depends on the specific service; typically involves API keys, authentication tokens, or other security mechanisms.
graph LR
A[User] --> B(Web Application);
B --> C(Job Enqueuer);
C --> D(Delayed Job Workers);
D --> E{Database};
B -.-> F(External Services);
D -.-> F;
classDef box fill:#ddd,stroke:#000,stroke-width:2px;
class B,C,D box;
Element Descriptions:
-
Element 1:
- Name: User
- Type: Person
- Description: A user interacting with the Web Application.
- Responsibilities: Initiates actions that may result in background jobs being enqueued.
- Security Controls: Authentication and authorization are handled by the Web Application.
-
Element 2:
- Name: Web Application
- Type: Container: Ruby on Rails Application
- Description: The main application that handles user requests and interacts with other components.
- Responsibilities: Handles user requests, enqueues jobs, interacts with external services.
- Security Controls: Authentication, authorization, input validation, data encryption (if applicable).
-
Element 3:
- Name: Job Enqueuer
- Type: Component
- Description: A component within the Web Application responsible for creating and enqueuing jobs.
- Responsibilities: Creates job payloads, serializes data, enqueues jobs to the database.
- Security Controls: Input validation, data sanitization.
-
Element 4:
- Name: Delayed Job Workers
- Type: Container: Ruby Processes
- Description: Separate processes that run in the background and execute jobs from the queue.
- Responsibilities: Retrieves jobs from the database, executes job logic, handles retries.
- Security Controls: Runs with the application's privileges; relies on the application and database for security.
-
Element 5:
- Name: Database
- Type: Container: Database
- Description: Stores job queue data.
- Responsibilities: Persists job information.
- Security Controls: Database access controls, encryption at rest (if applicable).
-
Element 6:
- Name: External Services
- Type: Software System
- Description: Any external services that the Web Application or Delayed Job Workers interact with.
- Responsibilities: Varies depending on the specific service.
- Security Controls: Depends on the specific service; typically involves API keys, authentication tokens, or other security mechanisms.
Possible Deployment Solutions:
- Heroku: Delayed Job can be deployed on Heroku using worker dynos.
- AWS (Elastic Beanstalk, EC2, ECS, EKS): Delayed Job can be deployed on various AWS services, with workers running as separate processes or containers.
- Google Cloud Platform (GCE, GKE): Similar to AWS, Delayed Job can be deployed on GCP using virtual machines or containers.
- On-Premise Servers: Delayed Job can be deployed on traditional servers, with workers running as background processes.
Chosen Solution (Example: AWS Elastic Beanstalk):
graph LR
A[Load Balancer] --> B(Web Server Instances);
B --> C(Delayed Job Worker Instances);
C --> D{RDS Database};
B -.-> E(External Services);
C -.-> E;
classDef box fill:#ddd,stroke:#000,stroke-width:2px;
class B,C box;
Element Descriptions:
-
Element 1:
- Name: Load Balancer
- Type: Infrastructure
- Description: Distributes incoming traffic across multiple web server instances.
- Responsibilities: Directs user requests to healthy web server instances.
- Security Controls: SSL/TLS termination, DDoS protection (if configured).
-
Element 2:
- Name: Web Server Instances
- Type: Infrastructure: EC2 Instances
- Description: Instances running the web application code.
- Responsibilities: Handles user requests, enqueues jobs.
- Security Controls: Security groups, IAM roles, system-level security hardening.
-
Element 3:
- Name: Delayed Job Worker Instances
- Type: Infrastructure: EC2 Instances
- Description: Instances running the Delayed Job worker processes.
- Responsibilities: Executes background jobs.
- Security Controls: Security groups, IAM roles, system-level security hardening.
-
Element 4:
- Name: RDS Database
- Type: Infrastructure: Managed Database Service
- Description: The managed database service used to store job queue data.
- Responsibilities: Persists job information.
- Security Controls: Database access controls, encryption at rest, network security.
-
Element 5:
- Name: External Services
- Type: Software System
- Description: Any external services accessed by the application or workers.
- Responsibilities: Varies depending on the service.
- Security Controls: API keys, authentication tokens, network security.
The build process for Delayed Job typically involves the following steps:
- Developer: Writes code and commits changes to a version control system (e.g., Git).
- Continuous Integration (CI) Server (e.g., GitHub Actions, Jenkins):
- Checks out the code from the repository.
- Runs linters and code style checks (e.g., Rubocop).
- Executes unit and integration tests.
- Builds the gem package.
- Artifact Repository (e.g., RubyGems): The gem package is published to a repository like RubyGems.org.
graph LR
A[Developer] --> B(Git Repository);
B --> C(CI Server);
C --> D{Linters/Tests};
C --> E(Gem Build);
E --> F(RubyGems);
classDef box fill:#ddd,stroke:#000,stroke-width:2px;
class B,C box;
Security Controls in Build Process:
- Version Control: Tracks code changes and allows for auditing and rollbacks.
- CI/CD Pipeline: Automates the build and testing process, ensuring consistency and reducing manual errors.
- Linters and Code Style Checks: Enforce coding standards and identify potential code quality issues.
- Automated Testing: Runs unit and integration tests to verify code functionality and prevent regressions.
- Dependency Management: Uses a package manager (e.g., Bundler) to manage dependencies and track their versions.
- Vulnerability Scanning: Can be integrated into the CI/CD pipeline to scan dependencies for known vulnerabilities (e.g., using tools like Bundler Audit).
- Signed Commits: Developers can sign their commits using GPG keys to verify the authenticity of the code.
Critical Business Processes:
- Asynchronous task execution: Delayed Job is critical for any business process that relies on background jobs, such as sending emails, processing payments, generating reports, or performing data synchronization.
Data Sensitivity:
- Job Payload Data: The data passed to Delayed Job can vary in sensitivity. It may include:
- Personally Identifiable Information (PII): User data, email addresses, etc.
- Financial Data: Payment information, transaction details.
- Business-Sensitive Data: Internal reports, proprietary algorithms.
- Non-Sensitive Data: Log messages, status updates.
The sensitivity of the data depends entirely on the application using Delayed Job. The application is responsible for protecting sensitive data.
Questions:
- What specific database backend is being used (e.g., MySQL, PostgreSQL, MongoDB)? This impacts security configurations.
- What are the expected job queue volumes and processing times? This helps determine scaling requirements.
- Are there any specific compliance requirements (e.g., GDPR, HIPAA) that need to be considered?
- What monitoring and alerting tools are currently in place or planned?
- What is the deployment environment (e.g., Heroku, AWS, on-premise)?
Assumptions:
- BUSINESS POSTURE: The organization has a moderate risk appetite, prioritizing reliability and functionality but also recognizing the importance of security.
- SECURITY POSTURE: The application using Delayed Job is responsible for handling authentication, authorization, and data encryption. Basic security measures are in place for the infrastructure (e.g., firewalls, access controls).
- DESIGN: The application uses a relational database (e.g., PostgreSQL) as the backend for Delayed Job. The deployment environment is cloud-based (e.g., AWS). A CI/CD pipeline is used for building and deploying the application.