Technology
Observability
The ability to infer a system's internal state from its external telemetry (metrics, logs, traces), allowing operators to diagnose 'unknown unknowns' in dynamic, distributed environments.
Observability is a system property: it dictates how well you can understand a complex application's internal state by examining its outputs. We achieve this by collecting and correlating the three pillars of telemetry data: **Metrics** (time-series data like request latency and CPU utilization), **Logs** (discrete, timestamped events), and **Traces** (the end-to-end path of a request across services). This holistic view is critical for modern microservice and cloud-native architectures, enabling engineering teams to move beyond simple monitoring (known failures) to rapidly pinpointing the root cause of novel, unanticipated issues (unknown unknowns) in production.
What builders pair with Observability
Projects using both technologies. Select a pairing to see a project.
6 more pairings
Pairing: Agent Orchestration
From Local Agent to Emergent Data Scientist
Pairing: DuckDB
From Local Agent to Emergent Data Scientist
Pairing: Jupyter
From Local Agent to Emergent Data Scientist
Pairing: Jupyter kernel
From Local Agent to Emergent Data Scientist
Pairing: Langfuse
Keeping an "AI" on LLMs with Langfuse
Pairing: llama
From Local Agent to Emergent Data Scientist
Recent Talks & Demos
Showing 1-2 of 2