Home Services Why HITBlogsFAQ Request a Discovery Call
Back to Home
Service 02

Observability Log Engineering & Optimization

Turn data into clarity. Turn signals into insight. Turn insight into action. Vendor-neutral optimization of your observability stack — reducing telemetry costs 40–70%, cutting alert noise 35–70%, and accelerating RCA.

DatadogDynatraceNew RelicElastic ObservabilityGrafanaOpenTelemetry
Request a Discovery Call
Measured Outcomes
What You Can Expect
40–70%
Reduction in telemetry ingestion & storage cost via right-sizing, log filtering, metric cardinality control & tiered retention
35–70%
Reduction in alert noise through SLO/SLI-driven design, intelligent thresholds, deduplication & severity routing
25–45%
Faster MTTD & MTTR with unified correlation of logs, metrics, traces plus enriched context
40–200%
Faster dashboard & query performance after schema standardisation, index tuning & caching
25–60%
Increase in end-to-end tracing coverage with OTel standards and golden-signal patterns
20–35%
Less engineer time spent on reactive firefighting, enabling proactive reliability work and feature velocity
Our Services

Six Optimization Workstreams

01

Health Check & Architecture Review

Comprehensive evaluation of your current setup culminating in a prioritised, actionable roadmap.

  • Ingestion volumes & cost drivers analysis
  • Signal-to-noise ratio assessment
  • APM quality and coverage gap analysis
  • Dashboard & SLO maturity review
30-day roadmap to eliminate low-value telemetry
02

Telemetry Data Optimization & Cost Reduction

Filter low-value telemetry at the source, reduce redundant logs, and implement tiered retention.

  • 40–70% cost reduction on ingestion & storage
  • 50–70% cardinality reduction on top labels/attributes
  • 25–40% ingestion error reduction through pipeline hardening
  • Intelligent trace sampling and compression
03

Application & Infrastructure Instrumentation

Strengthen APM tracing, OTel configurations, and cloud-native monitoring for better RCA.

  • 25–60% broader service coverage (traces + metrics + logs)
  • 2× trace completeness on critical user journeys
  • 95–100% adherence to naming and attribute standards
  • Kubernetes telemetry and network/API visibility
04

Alerting Strategy Optimization

High-fidelity rules, risk-based prioritisation, SLO/SLI design, and intelligent thresholds.

  • 35–70% alert volume reduction
  • 20–40% triage time reduction per incident
  • <5% false-alert rate on P1/P2 conditions
  • Service-health scoring and escalation workflows
05

Dashboard & Visualization Modernization

Executive health views, SRE SLO dashboards, and business observability boards.

  • 40–200% faster dashboard load times
  • <3-click access to root-cause indicators for top incidents
  • Unified service map with drill-downs to logs/traces
06

End-to-End Observability Correlation

Unify metrics, logs, and traces for faster cross-layer troubleshooting and anomaly detection.

  • 25–45% MTTR reduction
  • 30–50% fewer escalations to L3
  • Faster RCA with correlated evidence in a single view
  • AI-powered correlation tuning
Platforms

Vendor-Neutral Coverage

DatadogDynatraceNew RelicElastic ObservabilityGrafana / PrometheusSplunk Observability CloudOpenTelemetry (OTel)Azure Monitor / App InsightsAWS CloudWatch / X-RayGCP Operations Suite

Ready to Cut Telemetry Costs and Speed RCA?

Request a free Observability Health Check. We'll identify your top cost drivers and noise sources in the first session.

Request a Discovery Call
Back to Home