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Inject controlled faults into Kubernetes workloads to test recovery and resilience.

A Python command-line toolkit for authoring and running declarative chaos experiments against configured systems.

Inject controlled failures into services and infrastructure to test reliability and recovery behavior.

A Kubernetes-oriented chaos engineering platform for running fault experiments and checking whether workloads stay healthy.

Run controlled chaos experiments and reliability checks against services before failures reach users.

People and vehicle animation for architectural crowds and traffic scenes

Architectural rendering for 3ds Max and Cinema 4D

Physically based rendering across modelling applications

A container-level chaos tool for disrupting Docker, containerd and Podman workloads with lifecycle, network and resource faults.

Retail and custom type, with multilingual engineering and free Overpass fonts.

Environments for training AI and agents that handle recurring engineering work

Build reusable implicit models and prepare geometry for engineering tools

Autonomous SDLC platform with AI agents for delivery, security, runtime, and cost.

Engineering formulas, reference data and calculation tools

Engineering calculations across circuits and mechanics

Measurement conversion across everyday and engineering units

Build an internal developer portal around a catalog of services, teams, APIs, and ownership metadata.

Engineering leadership through recurring essays

Technical data and calculations for engineering study

Manage the project lifecycle for architecture, engineering, and consulting firms.

Apply shared engineering guardrails across repository, pull-request, and deployment workflows.

Multimodal lakehouse for AI data curation, feature engineering, and search

Civil engineering exam preparation with review courses, practice exams, videos and study resources.

Render and review architectural designs inside supported CAD and BIM applications