All Humainary.io Projects
The Humainary Initiative is dedicated to revolutionizing the engineering of complex systems by championing three core principles: sensibility, simplicity, and sophistication.
Our mission is to empower engineers and organizations to build, operate, and evolve systems that are not only highly observable and adaptable but also intuitive and resilient in the face of increasing complexity.
The future of observability is all about creating new toolkits, instruments, and taxonomies that let us understand how systems work at various scales and across state spaces.
Serventis is a semiotic-inspired observability framework designed to provide structured sensing and sense-making for distributed systems.
It defines a contract for monitoring system states and service interactions through a standardized language of signals and assessments, enabling adaptive intelligence without enforcing a specific implementation.
Serventis consists of:
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Monitors API – Defines the interface contract for monitoring the operational condition of services, assessing state transitions with confidence levels.
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Services API – Defines the interface contract for capturing service-to-service interactions using structured signals and orientations, based on signaling theory and social system regulation.
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Reporters API – Defines the interface contract for reporting situational assessments.
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Probes API – Defines the interface contract for monitoring and reporting communication outcomes in distributed systems.
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Resources API – Defines the interface contract for emitting signals describing interactions with shared resources.
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Queues API – Defines the interface contract for emitting signals describing interactions with queue-like systems.
By separating observation from interpretation, Serventis enables the integration of agents, machine learning models, and scorecards, allowing for context-aware reasoning and autonomous situational awareness.
It is a foundational layer for intelligent observability, supporting distributed coordination, adaptive control, and multi-perspective analysis.