Enterprise Observability & SRE

Full-Stack Observability & SRE Reliability Engineering.

Transform noisy logs and fragmented monitoring tools into actionable engineering intelligence. Cloud Solution Lyne implements vendor-neutral OpenTelemetry pipelines, Four Golden Signals telemetry, and contractually binding SLO error budget governance across AWS, Azure, and Google Cloud.

4 Signals
Golden Telemetry
OTel
Universal Collector
SLO / SLI
Error Budget Model
Four Golden Signals Telemetry Live
SLO: 99.9% (HEALTHY)
1. LATENCY (P99)42 msTarget: < 200ms (Passing)
2. TRAFFIC (THROUGHPUT)14.2k req/sMulti-AZ ingress load
3. ERRORS (5XX RATE)0.004%Error Budget Burn: 0.8%
4. SATURATION (CPU/MEM)62% FleetKarpenter headroom: OK
OpenTelemetry Collector: ActivePrometheus • Jaeger • Loki
Vendor-Neutral Observability

Universal OpenTelemetry (OTel) Architecture

Instrument once, route everywhere. We build vendor-agnostic collection pipelines that allow you to route metrics, traces, and logs to any backend without rewriting code.

High-Cardinality Metrics

Standardized Prometheus-compatible metric collection with automated dimensional aggregation, recording rules, and long-term Mimir/Thanos retention.

End-to-End Distributed Tracing

Trace user requests across microservices, API gateways, database queries, and third-party APIs using Jaeger and Tempo to pinpoint latency bottlenecks in milliseconds.

Structured Log Correlation

JSON-structured logging via Grafana Loki or OpenSearch with trace-ID injection, allowing instant one-click pivots from an error trace directly into the associated log line.

SLI, SLO & Error Budget Governance

Aligning engineering velocity with real-world user expectations through mathematical reliability budgets.

Step 01

Define Service Indicators (SLIs)

Determine exact customer-facing health signals: proportion of HTTP requests returning < 200ms without 5xx errors.

Step 02

Set Realistic Targets (SLOs)

Establish contractual goals (e.g. 99.9% uptime over rolling 30-day windows) tailored to business criticality.

Step 03

Track Error Budget Burn

Multi-burn-rate alerts fire only when an incident is rapidly consuming error allowance, eliminating false alerts.

Step 04

Automated Release Freeze

When error budget drops below critical thresholds, CI/CD gates automatically prioritize stability fixes over features.

Frequently Asked Questions

Clear technical guidance on our observability architecture and SRE methodologies.

What are the Four Golden Signals of observability?

As defined in Google SRE best practices, the Four Golden Signals are Latency (time to service a request), Traffic (demand placed on your system), Errors (rate of failed requests), and Saturation (how full your compute, memory, and I/O resources are).

How does OpenTelemetry prevent vendor lock-in?

OpenTelemetry (OTel) provides vendor-neutral APIs, SDKs, and collection agents for metrics, traces, and logs. It decouples your code instrumentation from monitoring backends, allowing you to route telemetry seamlessly to Prometheus, Datadog, Grafana, CloudWatch, or Jaeger without changing application code.

How does Error Budget governance work?

An error budget represents the acceptable level of unreliability allowed by your Service Level Objective (e.g., a 99.9% SLO allows a 0.1% error budget). If your error budget is consumed by production incidents, feature releases are automatically paused to prioritize reliability engineering.

How do you prevent alert fatigue for engineering teams?

We eliminate alert fatigue by implementing multi-window multi-burn-rate alerts focused on user-impacting symptoms rather than noisy infrastructure thresholds, coupled with automated deduplication and runbook links.

SRE Excellence

Ready to Eliminate Blindspots with Unified Observability?

Schedule an architecture session with our SRE leads. We design vendor-neutral OpenTelemetry collection, optimize alert rules, and establish contractually binding SLOs.