CloudSpinx

See Everything. Alert on What Matters. Fix It Before Users Notice.

We implement full observability stacks - metrics, logs, traces, and alerts - so your engineering team has complete visibility into application and infrastructure health, 24/7.

For teams flying blind in production, drowning in unstructured logs, or getting paged for problems they should have prevented.

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The Problem We Solve

⚠ You have no visibility into what is happening in production - problems are reported by customers, not your monitoring.
⚠ Your dashboards show 200 metrics but nobody knows which ones actually matter.
⚠ Alerting is either too noisy (alert fatigue) or too quiet (missed incidents).
⚠ Debugging a production issue takes hours because logs are scattered across 15 different places.
⚠ You cannot answer the question "is our system healthy?" without checking 5 different tools.
⚠ Your Datadog/New Relic bill is growing 30% per quarter and nobody knows which metrics are actually being used.

What's Included

✓ OpenTelemetry instrumentation - auto and manual instrumentation for Go, Python, Node.js, Java, .NET, Rust
✓ Grafana LGTM stack - Loki (logs), Grafana (dashboards), Tempo (traces), Mimir (metrics) - the complete open-source alternative to Datadog
✓ eBPF-powered observability - Cilium Hubble for network observability, Pixie for auto-instrumented K8s observability, zero code changes
✓ SLO-based alerting - alert on user-facing impact (error rate, latency percentiles), not infrastructure symptoms
✓ Cost-aware observability - metric cardinality management, log sampling strategies, retention tiering to control costs at scale
✓ Grafana Alloy - unified telemetry collector replacing Prometheus, Loki, and Tempo agents
✓ Custom Grafana dashboards - executive overview, per-service golden signals, infrastructure capacity, business KPI
✓ Continuous profiling - CPU and memory profiling in production with Pyroscope/Grafana Profiling
✓ Structured logging pipeline: collection, aggregation, search (ELK/Loki/Datadog)
✓ PagerDuty/Opsgenie integration with on-call rotation setup
✓ Runbooks for every alert: what it means, how to investigate, how to fix

Engagement Process

01

Observability Audit

Assess your current monitoring. What exists, what is missing, where are the blind spots.

02

Stack Design

Choose the right tools for your scale. Design dashboard hierarchy, alert taxonomy, and retention strategy.

03

Implement

Deploy monitoring agents, instrument applications, build dashboards, configure alerts.

04

Operationalise

Runbooks for every alert. On-call training. Optional ongoing support and dashboard iteration.

Technology Stack

PrometheusGrafanaDatadogNew RelicELK StackGrafana LokiGrafana TempoGrafana MimirGrafana AlloyJaegerOpenTelemetryPagerDutyOpsgenieThanoseBPFCilium HubblePixieCorootSigNozUptrace

Frequently Asked Questions

Prometheus or Datadog?
Prometheus + Grafana for teams that want full control and lower costs. Datadog for teams that want a managed SaaS with minimal operational overhead. We implement both.
Can you instrument our application code?
Yes. We add OpenTelemetry instrumentation to your services for metrics, logs, and traces. Language support: Go, Python, Node.js, Java, .NET.
How do you prevent alert fatigue?
SLO-based alerting: alert on user-facing impact (error rates, latency), not on infrastructure symptoms. Severity levels with appropriate routing.
What about costs at scale?
We design for cost from day one: metric cardinality limits, log sampling, retention tiers, and right-sized infrastructure.
Can you integrate with our existing tools?
Yes. We work with your existing monitoring stack and fill gaps rather than replacing everything.

Other Services

Cloud Architecture & Migration
Kubernetes & Containers
CI/CD & Automation
Infrastructure as Code
Site Reliability Engineering

Ready to talk observability & monitoring?

Book a free 30-minute architecture review. We'll assess your setup and give you an honest recommendation.

Book Architecture Review → See Case Studies →