All Articles (3 articles)

  • SLOs, SLIs, and Error Budgets

    Platform Engineering / Observability & Reliability 13 min read

    Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets form a framework for quantifying reliability and balancing it against development velocity. This is not just monitoring—it is a business tool that aligns engineering effort with user experience. SLIs measure what users care about, SLOs set explicit targets, and error budgets convert those targets into actionable resource constraints. The framework originated at Google’s SRE practice and has become the industry standard for reliability management. This article covers the design reasoning behind each concept, the mathematics of error budget consumption and burn rate alerting, and the operational practices that make SLOs effective in production.

  • CSP Violation Reporting Pipeline at Scale

    Platform Engineering / Observability & Reliability 11 min read

    CSP-Sentinel is a centralized system designed to collect, process, and analyze Content Security Policy (CSP) violation reports from web browsers at scale. The system handles baseline 50k RPS with burst capacity to 500k+ RPS while maintaining sub-millisecond response times and near-zero impact on client browsers.

  • Logging, Metrics, and Tracing Fundamentals

    Platform Engineering / Observability & Reliability 13 min read

    Observability in distributed systems rests on three complementary signals: logs capture discrete events with full context, metrics quantify system behavior over time, and traces reconstruct request paths across service boundaries. Each signal answers different questions, and choosing wrong defaults for cardinality, sampling, or retention can render your observability pipeline either useless or prohibitively expensive. This article covers the design reasoning behind each signal type, OpenTelemetry’s unified data model, and the operational trade-offs that determine whether your system remains debuggable at scale.