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BUSINESS POSTURE

This project, Hibeaver, aims to provide a simplified interface for interacting with Honeycomb, a popular observability platform. It likely targets developers and operations teams who want to leverage Honeycomb's capabilities for monitoring and troubleshooting their applications but seek a more user-friendly or streamlined experience.

Business Priorities and Goals:

  • Goal: Simplify observability workflows for developers and operations teams using Honeycomb.
  • Goal: Reduce the learning curve and complexity associated with direct Honeycomb API interaction.
  • Goal: Potentially offer a more tailored or opinionated approach to observability compared to the raw Honeycomb platform.
  • Priority: User experience and ease of use are paramount to drive adoption.
  • Priority: Reliability and accuracy of data relayed to Honeycomb are crucial for effective observability.

Business Risks:

  • Risk: Data loss or corruption during the translation or relay of observability data to Honeycomb, leading to inaccurate insights and potentially impacting incident response.
  • Risk: Performance bottlenecks in Hibeaver that could delay or impede the flow of observability data, reducing the real-time visibility of application behavior.
  • Risk: Security vulnerabilities in Hibeaver that could expose sensitive observability data or provide unauthorized access to Honeycomb or the monitored systems.
  • Risk: Lack of adoption if the simplified interface does not adequately address user needs or if it introduces new complexities.

SECURITY POSTURE

Existing Security Controls:

  • security control: Code hosted on GitHub, leveraging GitHub's infrastructure security. (Implemented: GitHub platform)
  • security control: Potentially using standard library security features in the chosen programming language (Go, based on repository content). (Implemented: Within application code)

Accepted Risks:

  • accepted risk: Reliance on open-source components and libraries, with potential vulnerabilities that may not be immediately identified or patched.
  • accepted risk: Initial versions might lack comprehensive security testing and penetration testing.
  • accepted risk: Security configurations might be based on default settings and require hardening.

Recommended Security Controls:

  • recommended security control: Implement static application security testing (SAST) in the CI/CD pipeline to identify potential vulnerabilities in the codebase.
  • recommended security control: Implement dependency scanning to identify and manage vulnerabilities in third-party libraries.
  • recommended security control: Enforce code review processes, including security-focused reviews, before merging code changes.
  • recommended security control: Implement robust logging and monitoring of Hibeaver itself to detect and respond to security incidents.
  • recommended security control: Regularly update dependencies to patch known vulnerabilities.

Security Requirements:

  • Authentication:

    • security requirement: Hibeaver should authenticate users accessing its interface.
    • security requirement: Authentication mechanism should be secure and resistant to common attacks (e.g., brute-force, credential stuffing).
    • security requirement: Consider using existing identity providers (e.g., OAuth 2.0, OpenID Connect) for authentication to simplify management and improve security.

  • Authorization:

    • security requirement: Hibeaver should implement authorization to control user access to different features and data within the application.
    • security requirement: Role-Based Access Control (RBAC) should be considered to manage permissions effectively.
    • security requirement: Authorization should be enforced at the API level to prevent unauthorized actions.

  • Input Validation:

    • security requirement: All inputs to Hibeaver, especially API requests and user interface inputs, must be thoroughly validated to prevent injection attacks (e.g., SQL injection, command injection, cross-site scripting).
    • security requirement: Input validation should be performed on both the client-side and server-side.
    • security requirement: Use parameterized queries or prepared statements when interacting with databases to prevent SQL injection.

  • Cryptography:

    • security requirement: Sensitive data at rest (if any is stored) should be encrypted.
    • security requirement: Communication between Hibeaver components and external systems (e.g., Honeycomb API, monitored applications) should be encrypted using TLS/HTTPS.
    • security requirement: Secrets management should be implemented to securely store and access API keys, credentials, and other sensitive information. Avoid hardcoding secrets in the codebase.

DESIGN

C4 CONTEXT

flowchart LR
    subgraph "Monitored Applications"
        A[Application A]
        B[Application B]
        C[Application C]
    end
    U[Users (Developers/Operations)]
    H[Honeycomb]
    P[Hibeaver]

    U --> P
    P --> H
    A --> P
    B --> P
    C --> P
    style P fill:#f9f,stroke:#333,stroke-width:2px
Loading

Context Diagram Elements:

  • Element:

    • Name: Monitored Applications
    • Type: System
    • Description: These are the applications that are being monitored using Hibeaver and Honeycomb. They generate telemetry data (events, metrics, traces).
    • Responsibilities: Generate telemetry data and send it to Hibeaver.
    • Security controls: Implement secure communication channels to send data to Hibeaver (e.g., HTTPS). Implement proper authentication and authorization if required by Hibeaver for data ingestion.

  • Element:

    • Name: Users (Developers/Operations)
    • Type: Person
    • Description: Developers and operations teams who use Hibeaver to interact with Honeycomb and gain insights into their applications' performance and behavior.
    • Responsibilities: Use Hibeaver to query, visualize, and analyze observability data. Configure Hibeaver and its integrations.
    • Security controls: Authenticate to Hibeaver using secure credentials. Adhere to authorization policies within Hibeaver.

  • Element:

    • Name: Honeycomb
    • Type: System
    • Description: A third-party observability platform that Hibeaver integrates with. Honeycomb stores and analyzes telemetry data.
    • Responsibilities: Store, process, and analyze telemetry data sent by Hibeaver. Provide APIs for querying and visualizing data.
    • Security controls: Honeycomb's own security controls, including authentication, authorization, data encryption, and infrastructure security. Hibeaver needs to securely authenticate to the Honeycomb API.

  • Element:

    • Name: Hibeaver
    • Type: System
    • Description: The project in question. A simplified interface and intermediary layer between monitored applications and Honeycomb. It collects telemetry data from applications, potentially transforms or enriches it, and sends it to Honeycomb. It also provides a user interface for interacting with Honeycomb data.
    • Responsibilities: Collect telemetry data from monitored applications. Transform and enrich data if needed. Relay data to Honeycomb. Provide a user interface for querying and visualizing Honeycomb data. Manage user authentication and authorization.
    • Security controls: Authentication, authorization, input validation, secure communication with applications and Honeycomb, secure data handling, logging and monitoring.

C4 CONTAINER

flowchart LR
    subgraph "Monitored Applications"
        A[Application A]
        B[Application B]
        C[Application C]
    end
    U[Users (Developers/Operations)]
    H[Honeycomb API]
    subgraph "Hibeaver"
        D[Data Collector]
        E[API Server]
        F[Web UI]
    end

    U --> F
    F --> E
    E --> H
    A --> D
    B --> D
    C --> D
    D --> E
    style F fill:#f9f,stroke:#333,stroke-width:2px
    style E fill:#f9f,stroke:#333,stroke-width:2px
    style D fill:#f9f,stroke:#333,stroke-width:2px
Loading

Container Diagram Elements:

  • Element:

    • Name: Data Collector
    • Type: Container
    • Description: Responsible for receiving telemetry data from monitored applications. This could be via various protocols (e.g., HTTP, gRPC).
    • Responsibilities: Accept incoming telemetry data. Validate and potentially transform data. Queue data for processing and relaying.
    • Security controls: Input validation, rate limiting, secure communication protocols (HTTPS), authentication if applications need to authenticate to push data.

  • Element:

    • Name: API Server
    • Type: Container
    • Description: Provides the backend API for the Web UI and potentially other clients. Handles user authentication and authorization. Processes and relays data to Honeycomb.
    • Responsibilities: Expose API endpoints for the Web UI. Authenticate and authorize user requests. Receive data from the Data Collector. Interact with the Honeycomb API.
    • Security controls: Authentication, authorization, input validation, secure communication (HTTPS), API security best practices (e.g., rate limiting, input validation), secure handling of Honeycomb API keys.

  • Element:

    • Name: Web UI
    • Type: Container
    • Description: Provides a user-friendly web interface for interacting with Hibeaver and Honeycomb data.
    • Responsibilities: User authentication and session management. Provide visualizations and dashboards for observability data. Allow users to query and explore data.
    • Security controls: Authentication, authorization, input validation, output encoding to prevent XSS, secure session management, protection against CSRF attacks.

  • Element:

    • Name: Honeycomb API
    • Type: External System Interface
    • Description: The API provided by Honeycomb for programmatic interaction with their platform.
    • Responsibilities: Authenticate API requests from Hibeaver. Accept and process telemetry data. Provide data querying capabilities.
    • Security controls: Honeycomb's API security controls, API key management, rate limiting, authentication and authorization. Hibeaver needs to securely manage and use Honeycomb API keys.

DEPLOYMENT

Deployment Solution: Cloud-based Deployment (e.g., AWS, GCP, Azure) using containers (e.g., Docker, Kubernetes).

flowchart LR
    subgraph "Cloud Provider (e.g., AWS)"
        subgraph "Kubernetes Cluster"
            subgraph "Nodes"
                N1[Node 1]
                N2[Node 2]
            end
            subgraph "Pods"
                P1[Pod: Data Collector]
                P2[Pod: API Server]
                P3[Pod: Web UI]
            end
            N1 --> P1
            N1 --> P2
            N2 --> P3
        end
        LB[Load Balancer]
        DB[Database (Managed)]
    end
    Internet[Internet]
    U[Users (Developers/Operations)]

    Internet --> LB
    LB --> P3
    P1 --> P2
    P2 --> DB
    U --> Internet
    style N1 fill:#ccf,stroke:#333,stroke-width:1px,stroke-dasharray: 5 5
    style N2 fill:#ccf,stroke:#333,stroke-width:1px,stroke-dasharray: 5 5
    style P1 fill:#f9f,stroke:#333,stroke-width:2px
    style P2 fill:#f9f,stroke:#333,stroke-width:2px
    style P3 fill:#f9f,stroke:#333,stroke-width:2px
Loading

Deployment Diagram Elements:

  • Element:

    • Name: Kubernetes Cluster
    • Type: Infrastructure
    • Description: A managed Kubernetes cluster provided by the cloud provider. Provides orchestration and management for containerized applications.
    • Responsibilities: Container orchestration, scaling, health monitoring, resource management.
    • Security controls: Kubernetes security controls (RBAC, network policies, pod security policies), cloud provider's infrastructure security, regular security updates and patching.

  • Element:

    • Name: Nodes (Node 1, Node 2)
    • Type: Infrastructure
    • Description: Worker nodes within the Kubernetes cluster. Virtual machines or physical servers that run the application containers.
    • Responsibilities: Run container workloads, provide compute resources.
    • Security controls: Operating system security hardening, security patching, access control, network security (firewalls, security groups).

  • Element:

    • Name: Pods (Data Collector, API Server, Web UI)
    • Type: Container Runtime
    • Description: Kubernetes pods that encapsulate the application containers (Data Collector, API Server, Web UI).
    • Responsibilities: Run application containers, provide network isolation within the cluster.
    • Security controls: Container image security (scanning for vulnerabilities), pod security context, resource limits, network policies to restrict pod-to-pod communication.

  • Element:

    • Name: Load Balancer
    • Type: Infrastructure
    • Description: A cloud provider managed load balancer that distributes incoming traffic to the Web UI pods.
    • Responsibilities: Load balancing, traffic routing, SSL termination (HTTPS).
    • Security controls: SSL/TLS configuration, DDoS protection, access control lists, security monitoring.

  • Element:

    • Name: Database (Managed)
    • Type: Infrastructure
    • Description: A managed database service provided by the cloud provider. Used by the API Server for persistent storage (if needed, e.g., for user accounts, configurations).
    • Responsibilities: Persistent data storage, data replication, backups, database management.
    • Security controls: Database access control, encryption at rest and in transit, regular backups, security patching, database auditing.

BUILD

flowchart LR
    Developer[Developer] --> VCS[Version Control System (GitHub)]
    VCS --> CI[CI/CD Pipeline (GitHub Actions)]
    CI --> Build[Build & Test]
    Build --> SAST[SAST Scanner]
    SAST --> Build
    Build --> DependencyScan[Dependency Scanner]
    DependencyScan --> Build
    Build --> ContainerRegistry[Container Registry]
    ContainerRegistry --> Deployment[Deployment Environment]
    style CI fill:#f9f,stroke:#333,stroke-width:2px
Loading

Build Process Description:

  1. Developer commits code changes to the Version Control System (VCS), which is GitHub in this case.
  2. The CI/CD Pipeline (e.g., GitHub Actions) is triggered by code changes.
  3. The Build & Test stage compiles the code, runs unit tests, and creates build artifacts (e.g., container images).
  4. Static Application Security Testing (SAST) is performed on the codebase to identify potential security vulnerabilities.
  5. Dependency Scanning is performed to identify vulnerabilities in third-party libraries used by the project.
  6. If all security checks pass, the build artifacts (container images) are pushed to a Container Registry.
  7. The Deployment stage pulls the container images from the Container Registry and deploys them to the Deployment Environment (e.g., Kubernetes cluster).

Build Security Controls:

  • security control: Secure coding practices followed by developers (Implemented: Developer training and guidelines).
  • security control: Code review process to identify potential security flaws before merging code (Implemented: Team process).
  • security control: Static Application Security Testing (SAST) integrated into the CI/CD pipeline to automatically scan code for vulnerabilities (Implemented: CI/CD pipeline configuration).
  • security control: Dependency scanning to identify and manage vulnerabilities in third-party libraries (Implemented: CI/CD pipeline configuration).
  • security control: Container image scanning for vulnerabilities before pushing to the registry (Implemented: CI/CD pipeline configuration or Container Registry features).
  • security control: Secure storage of build artifacts in a private Container Registry with access control (Implemented: Container Registry configuration).
  • security control: Immutable infrastructure and infrastructure-as-code to ensure consistent and repeatable deployments (Implemented: Infrastructure automation).
  • security control: Principle of least privilege applied to CI/CD pipeline permissions and access to build artifacts and deployment environments (Implemented: CI/CD pipeline and infrastructure configuration).

RISK ASSESSMENT

Critical Business Processes:

  • Ensuring application observability for performance monitoring and incident response.
  • Maintaining the availability and reliability of the monitoring system itself (Hibeaver).
  • Protecting the confidentiality and integrity of observability data.

Data Sensitivity:

  • Observability data (metrics, traces, logs) collected by Hibeaver.
  • Sensitivity: Moderate to High. While not directly PII, observability data can contain sensitive information about application behavior, performance, and potentially business logic. Exposure or manipulation of this data could lead to:
    • Business disruption due to inaccurate monitoring and delayed incident response.
    • Competitive disadvantage if performance insights are revealed to competitors.
    • Security breaches if observability data reveals vulnerabilities in applications.
    • Compliance issues depending on the type of data logged and industry regulations.

QUESTIONS & ASSUMPTIONS

Questions:

  • What type of data will Hibeaver be collecting from monitored applications? (Metrics, traces, logs, events?)
  • What is the expected scale of data ingestion and processing?
  • What are the specific user roles and permissions required within Hibeaver?
  • What is the intended deployment environment (cloud provider, on-premises)?
  • Are there any specific compliance requirements that Hibeaver needs to adhere to?
  • What is the expected level of security maturity for the initial deployment?

Assumptions:

  • BUSINESS POSTURE: The primary goal is to simplify Honeycomb usage for developers and operations teams in a startup or fast-growing environment. Agility and ease of use are prioritized, but security is still a concern.
  • SECURITY POSTURE: Initial security controls are basic, and there is a willingness to improve security posture iteratively. Focus on practical and high-impact security measures.
  • DESIGN: Hibeaver is designed as a cloud-native application, likely deployed in containers and orchestrated by Kubernetes. It will interact with Honeycomb's API over the internet. User authentication and authorization are required.