Logging & Analytics Unify metrics, logs, and traces with SLO-driven alerts, cost controls, and audit-ready evidence. Scale confidently without sacrificing security. We engineer systems to handle demand spikes with autoscaling, caching, and resilient release patterns, while hardening every layer with zero-trust controls, strong identity, and audit-ready evidence. Pair with CI/CD and microservices for safe velocity and clear SLOs.
START A TELEMETRY PROJECT View Certifications Key Benefits Faster Detection: Correlation IDs + distributed tracing
Lower MTTR: Runbooks wired to alerts
Executive Insight: KPI scorecards in BI dashboards
Privacy by Design: Redaction/masking & role-based access
Cost Control: Sampling, tiered retention, cardinality guards
What We Implement Ingestion & Normalization: agents/forwarders, structured logs, consistent fields (service, version, env), correlation IDs across services and jobs. Tracing: distributed tracing for critical flows (checkout, intake, case creation) with span events and latency buckets. Metrics: RED/USE metrics, custom business counters, and service health gauges. Dashboards: real-time service health, capacity, and business KPIs side-by-side. Alerts: multi-signal alerts with error-budget burn policies and runbook links. Telemetry Strategy (Maturity Path) Foundations: app & infra structured logging, unique trace IDs, consistent severity levels, error cataloging. Correlation: distributed tracing and log ↔ trace linking; request sampling to control cost. KPIs & SLOs: define service SLOs, error budgets, and alert thresholds that reflect user impact. Analytics: funnels, cohort trends, anomaly detection, and release markers for cause analysis. Security, Privacy & Compliance Data Controls: PII redaction/masking at source; field-level allow/deny lists; tokenization where needed. Access: least-privilege roles, scoped views, and audit logs of who accessed what. Evidence: exportable reports for procurement and compliance (e.g., change history, incident timelines). CERTIFICATIONS CYBERSECURITY SERVICES Cost & Performance Management Sampling & Filters: dynamic sampling by severity/path; drop noisy fields; compress high-cardinality labels. Retention & Lifecycle: hot vs. warm storage, tiering by use-case and policy. Budget Guardrails: ingestion/retention budgets with alerts and auto-tuning recommendations. Dashboards that Execs & Engineers Use SRE View: latency, saturation, error rate, dependency maps, burn-rate panels. Engineer View: top errors, failing queries, slow endpoints, recent releases and their impact. Leadership View: incidents, MTTR, availability, feature adoption, and business KPIs on one page. Delivery Approach Discovery & Mapping — sources, high-value user journeys, compliance needs. Instrumentation & Schemas — log/metric/trace fields, IDs, and error catalog. Pipelines & Storage — ingestion, parsing, tiering, retention, access controls. Dashboards & Alerts — SLOs, burn policies, runbooks, and on-call routing. Prove & Iterate — game days, postmortems, tuning sampling and budgets. FAQs Q: Will centralized logging increase our costs?
Q: Can we correlate user issues across services?
Q: How do you protect sensitive data in logs?
Q: Do you integrate with existing tools?
Ready to See Issues Before Users Do? 
