A Computational System is a set of $n$ software interrelated components that work together to provide computational functionalities.

Note: A computational system addresses a given problem not through a fixed solution, but via an evolving process that adapts to find the most effective implementation or keeps pace with the changing nature of the problem.

Note: Like many other areas of engineering that design and implement complex systems, this process is typically carried out through a set of layered specifications and refinements, generating multiple system models that evolve from less detailed to more detailed versions.

Computational System Checklist

This checklist provides a comprehensive overview of essential aspects to consider when designing, evaluating, or maintaining a robust and efficient computational software system.

Category Aspect Checklist Item
๐Ÿงฑ Architecture Design Paradigm Is the architecture modular, layered, or service-oriented?
Component Isolation Are components loosely coupled and independently testable?
Scalability Model Is horizontal/vertical scalability supported?
Fault Tolerance Are redundancy and failover mechanisms in place?
โš™๏ธ Computation Core Language Runtime Is the system runtime-efficient (GC, JIT, memory layout)?
Parallelism / Concurrency Are there mechanisms for parallel processing (threads, actors, etc.)?
Numerical Precision Are floating-point operations, overflows, or underflows handled explicitly?
Algorithmic Efficiency Are core algorithms asymptotically optimal or tuned for workload?
๐Ÿ—‚๏ธ Data Management Data Model Is the data model consistent (relational, graph, object)?
Serialization Are data formats compact, robust (e.g., Protobuf, Avro)?
Persistence Are storage mechanisms ACID-compliant, fast, and scalable?
Versioning & Migrations Can schema changes be tracked, reverted, and migrated?
๐Ÿ”Œ Interfaces API Design Are APIs RESTful, gRPC, GraphQL, etc.? Are they versioned and documented?
Language Bindings Are SDKs available for key languages?
CLI / GUI Are there user-accessible CLI or UI interfaces?
Protocol Compliance Are protocols (HTTP, MQTT, etc.) strictly adhered to?
๐Ÿ”’ Security Authentication Are authentication mechanisms secure (OAuth2, SSO, MFA)?
Authorization Are RBAC or ABAC models in place?
Data Protection Is data encrypted in transit and at rest?
Audit & Forensics Are logs immutable and traceable?
๐Ÿ“Š Observability Logging Are logs structured, timestamped, and level-tagged?
Monitoring Are metrics exported (e.g., Prometheus)?
Tracing Are there end-to-end traces of user/system actions?
Alerting Are alerts threshold-based, predictive, or anomaly-aware?
๐Ÿงช Testing Unit Tests Are critical functions covered by automated tests?
Integration Tests Are APIs, DBs, and external services tested together?
Property-Based Tests Are systems checked against invariants?
Performance Tests Are latency, throughput, and stress tests automated?
๐Ÿš€ Deployment Build System Are builds reproducible and artifact-tracked?
CI/CD Are deployments automated, atomic, and observable?
Containerization Is the system packaged with Docker, Nix, etc.?
Environment Parity Are development, staging, and production environments aligned?
๐Ÿ–ฅ๏ธ Infrastructure Hardware Are servers, CPUs, GPUs, storage devices adequate for load?
Network Are network topologies optimized for latency, throughput, and fault tolerance?
Cloud / On-Premises Is infrastructure hosted on cloud providers, on-premises data centers, or hybrid?
Resource Provisioning Is infrastructure auto-scaled or provisioned on demand?
Virtualization / Containers Are virtualization technologies (VMs, containers) used efficiently?
Backup & Disaster Recovery Are backups regular and tested? Is there a disaster recovery plan?
Security Are network firewalls, VPNs, IDS/IPS, and physical security implemented?
Monitoring & Alerting Are infrastructure health and availability monitored separately?
๐Ÿ“œ Documentation Architecture & Design Docs Are design decisions and rationales documented?
Developer Onboarding Is there an onboarding guide with setup, coding standards, and workflows?
User Manual Is the end-user documentation clear and updated?
Maintenance Policy Are support windows, upgrade cycles, and deprecation policies clear?

Topics

Design

Analysis

Latency

DevOps

Debugging

Performace

Documentation

Program Design

Product Development