Monitoring & Observability
Metrics Collection & Monitoring Implementation
Metrics give you the numbers that describe your system's health: request rate, error rate, latency percentiles, CPU utilization, queue depth, and business KPIs. We implement metrics collection across your infrastructure and applications with proper instrumentation, dashboards, and alerting — so you know your system's health at a glance.
Need this done for your project?
We implement, you ship. Async, documented, done in days.
What We Deliver
Complete metrics collection with infrastructure metrics (node-exporter, cAdvisor), application metrics instrumentation (custom counters, histograms, gauges), database and cache metrics, message broker metrics, dashboards following the USE/RED methods, recording rules for pre-computed queries, and alerting based on SLOs.
The Four Golden Signals
Google's Site Reliability Engineering book defines four golden signals: latency (how long requests take), traffic (how many requests you're serving), errors (how many requests fail), and saturation (how full your resources are). We instrument your system to capture all four signals at every service boundary. These metrics form the foundation of your monitoring dashboards and alerts.
Application Instrumentation
We add metric instrumentation to your application code: request duration histograms per endpoint, error counters by type and endpoint, active connection gauges, queue depth gauges, and business-specific metrics (signups, purchases, API calls). Libraries like prom-client (Node.js), prometheus_client (Python), and client_golang (Go) make this straightforward.
Infrastructure Metrics
Node-exporter captures OS-level metrics (CPU, memory, disk I/O, network). cAdvisor captures container metrics (resource usage per container). kube-state-metrics captures Kubernetes object state (pod status, deployment replicas, resource requests). Cloud provider integrations capture managed service metrics (RDS performance, S3 operations, Lambda invocations).
Dashboard Design
We build hierarchical dashboards: a top-level overview showing the health of all services, per-service dashboards with the RED method (request rate, error rate, duration), infrastructure dashboards with the USE method (utilization, saturation, errors), and deep-dive dashboards for specific components (database, cache, queue). Variable-driven dashboards let you filter by environment, service, or instance.
How It Works
Purchase the engagement, submit your async brief with your application stack and monitoring requirements, and receive a complete metrics implementation within 5–7 business days. Instrumentation, dashboards, and alerting included.
Why Anubiz Engineering
100% async — no calls, no meetings
Delivered in days, not weeks
Full documentation included
Production-grade from day one
Security-first approach
Post-delivery support included
Ready to get started?
Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.