Distributed Systems Observability

Sridharan, C. (2018). Distributed Systems Observability: A Guide to Building Robust Systems. O'Reilly Media.

Type

Book

Intellectual base

Review or monograph

Year

2018

Link

no authoritative link yet

Cited from

engineering_design, mathematics, neuroscience, statistics_experimental_design, systems_cybernetics

Cited by

5 citations across 5 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Linearity
  • Listed in the references but not attached to a specific claim.
• Measurement Uncertainty and Observational Noise
  • Listed in the references but not attached to a specific claim.
• Monitoring
  • Software engineering & DevOps: Application performance monitoring (APM), real-time metrics (CPU, memory, latency, error rates), distributed tracing (request flows), alerting systems, dashboard visualization, SLO/SLI tracking, integrated through metrics, logs, and traces—what Sridharan (2018) calls the three pillars of observability.

    This sourceDefines the three pillars of observability—metrics, logs, and traces—as the substrate for monitoring distributed systems; describes APM, alerting workflows, and SLO-based reliability engineering in production software.

• Observability
  • software engineering and site reliability ("observability" as a production-systems virtue — distributed tracing, metrics, logs; MTTR reduction; modern practice emphasizes "unknown-unknowns" — ability to ask novel questions post-hoc from rich telemetry rather than pre-specified dashboards)
• Predictive Coding
  • Listed in the references but not attached to a specific claim.

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