Services — System Observability

We instrument it. You see everything.

Full-stack monitoring, centralized logging, and distributed tracing — deployed, configured, and maintained by us. Know exactly what's happening across your entire infrastructure in real time.

Three Pillars

Metrics, logs, traces

The three pillars of observability — deployed together, correlated automatically. Jump from a spike on a dashboard to the exact log line and trace span that caused it.

Metrics

Know what's happening

CPU, memory, disk, network, request latency, error rates, queue depths — every number that matters, collected every 15 seconds and stored for 90 days. Custom dashboards per team, per service, per customer.

PrometheusGrafanaNode Exporterkube-state-metrics
example queries
$CPU utilization per VM
$Request latency p99
$Kafka consumer lag
$Disk IOPS by volume

Logs

Know what happened

Structured JSON logs from every service, container, and VM — centralized, searchable, and correlated. Filter by tenant, trace ID, severity, or free text. No more SSH-ing into boxes to grep logs.

LokiPromtailGrafanaFluentd
example queries
$Error logs by service
$Request traces by tenant
$Provisioning step logs
$Auth failure patterns

Traces

Know why it happened

Distributed tracing across every service boundary. Follow a single request from API gateway through Kafka events to database query. Pinpoint exactly where latency or errors originate.

JaegerOpenTelemetryTempoW3C Trace Context
example queries
$Order → Provision → Billing flow
$Cross-service latency breakdown
$Error propagation path
$Slow query identification
Coverage

Every layer, every signal

From hardware metrics to business KPIs — four monitoring layers that give you complete visibility across your entire operation.

Infrastructure

OpenStack/VMware/Proxmox health
OpenShift cluster state
Node CPU/RAM/disk/network
Storage IOPS and throughput

Platform Services

API response times & error rates
Kafka broker and consumer health
Database connection pools
Redis cache hit ratios

Business Metrics

Provisioning success rate
Order-to-delivery time
Revenue per tenant
Active service count

Security

Failed auth attempts
API rate limit violations
Certificate expiry countdown
Anomalous traffic detection
Alerting

Smart alerts, zero noise

Three severity tiers with defined response times and routing. Alerts based on real baselines — not arbitrary thresholds that cry wolf.

Critical
Immediate
Node unreachable
Kafka cluster degraded
SSL cert expired

PagerDuty alert + auto-remediation attempt

Warning
< 30 min
Disk > 85%
Error rate > 1%
Latency p99 > 2s

Slack notification + Grafana annotation

Info
Next business day
Cert expiry < 30d
Capacity at 70%
New version available

Daily digest email + dashboard flag

Engagement Model

From zero to full visibility

We deploy the entire observability stack, build your dashboards, configure alerts, and keep it tuned as your infrastructure evolves.

Phase 01 Instrument

Agent Deployment & Configuration

We deploy monitoring agents across your infrastructure — node exporters, log collectors, trace instrumentation. Every service, every node, every container gets instrumented without code changes.

Agent deployment
Service discovery
Label taxonomy
Retention policy
Phase 02 Visualize

Dashboard Design

Custom Grafana dashboards tailored to your operations. Infrastructure overview, per-service deep dives, business KPIs, and tenant-level views. Your team sees what matters — nothing more, nothing less.

Infrastructure overview
Service dashboards
Business KPIs
Tenant views
Phase 03 Alert

Alert Rules & Routing

We configure alert rules based on real baselines — not arbitrary thresholds. Multi-channel routing (PagerDuty, Slack, email) with escalation policies and on-call schedules.

Baseline analysis
Alert rules
Routing policies
Escalation chains
Phase 04 Operate

Ongoing Tuning & Support

Observability is never done. We continuously tune alert thresholds, add new dashboards as services evolve, investigate anomalies, and train your team on root cause analysis.

Threshold tuning
Dashboard updates
Anomaly investigation
Team training
Why Cloud Platform

Observability that works

Not another monitoring tool — a fully managed observability service that integrates with your infrastructure and your business.

Pre-Integrated

Our observability stack is designed to work with the Cloud Platform platform out of the box. Provisioning events, billing metrics, customer activity — all pre-wired into dashboards.

Per-Tenant Visibility

Not just infrastructure monitoring — we give you per-customer visibility. See resource usage, service health, and billing metrics scoped to individual tenants.

No Alert Fatigue

We tune alerts based on real baselines, not defaults. You get notified when something actually matters — not when a metric briefly crosses a number.

Open Standards

Built on Prometheus, Grafana, Loki, and OpenTelemetry. No proprietary agents, no vendor lock-in. Your data, your dashboards, fully portable.

By the Numbers

Monitoring benchmarks

15s

Metric collection interval

Full resolution, all services

90d

Metric retention

Full resolution, 2yr downsampled

<3%

Infrastructure overhead

Monitoring cost vs total

0

Vendor lock-in

100% open-source stack

Full Visibility

Stop guessing. Start seeing.

Metrics, logs, and traces — deployed, configured, and maintained by our team. Full-stack observability without the operational burden.

FAQ

Common Questions

No. Infrastructure and platform metrics are collected via agents and exporters — zero code changes. For distributed tracing, we use OpenTelemetry auto-instrumentation for most languages. If you want custom business metrics, we'll help you add a few lines of instrumentation.

Default retention is 90 days at full resolution and 2 years at downsampled resolution. Logs are retained for 30 days by default. Both are configurable based on your compliance requirements and storage capacity.

Yes. We can integrate with your existing Prometheus, Grafana, Datadog, or CloudWatch setup. Our stack is standards-based — we export in OpenMetrics format and accept OTLP for traces. We'll work with what you have.

Each region runs its own Prometheus and Loki instances for low-latency collection. A central Grafana instance federates queries across all regions. Alerts are evaluated locally to avoid cross-region latency dependencies.

Our stack is 100% open-source — no per-host or per-metric licensing fees. You pay for compute and storage to run the monitoring infrastructure. For most deployments, monitoring overhead is 3-5% of total infrastructure cost.

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