Symptom
Mean time to detect (MTTD) for production incidents exceeds 45 minutes
- Root cause
- Alerts based on static thresholds with no anomaly detection or correlation
- Business risk
- Extended customer-facing downtime, SLA breach
Cloud & Infrastructure · Cloud Monitoring & Observability
Cloud Monitoring & Observability
Cloud monitoring and observability is the practice of instrumenting distributed systems with metrics, logs and traces so that engineers can detect, diagnose and resolve issues before they impact users. Evolvice builds and operates observability stacks across Azure and AWS with defined alerting thresholds, dashboards and on-call escalation paths.
- ISO 27001
- NIS2
- BSI-Grundschutz
- GDPR
Overview
Technical Overview
Most enterprise environments have monitoring tools deployed but lack observability: dashboards exist, but nobody can trace a customer-facing incident back to its root cause within minutes. We instrument workloads with correlated metrics, logs and traces, define meaningful alert thresholds, and run the resulting signal through a structured on-call process instead of leaving it to be discovered manually.
What we put right
- Alert fatigue from thousands of low-value notifications with no severity tiering
- No distributed tracing, so cross-service incidents take hours to localize
- Dashboards built ad hoc per team with no shared golden signals
- On-call engineers paged for issues with no defined runbook or ownership
Diagnostic
Common Failure Modes in Enterprise Observability
Patterns we repeatedly find when taking over an existing monitoring setup.
Symptom
On-call engineers receive 50+ pages per week, most non-actionable
- Root cause
- No alert severity classification or deduplication logic
- Business risk
- Alert fatigue, missed critical incidents, staff attrition
Symptom
Root-cause analysis for multi-service incidents takes over 3 hours
- Root cause
- No distributed tracing across service boundaries
- Business risk
- Prolonged outages, inflated incident cost
Symptom
Log retention and access cannot satisfy an auditor’s evidence request
- Root cause
- Logs scattered across services with inconsistent retention policies
- Business risk
- NIS2 incident-reporting and audit-evidence gaps
Signal
Observability is the ability to answer a question you did not anticipate.
Monitoring tells you a threshold was crossed. Observability lets an engineer ask an arbitrary question about system behavior — why did latency spike for this customer segment at 14:03 — and get an answer from existing telemetry without shipping new code.
We design the metrics, logs and traces pipeline to support that kind of investigation from day one, not retrofit it after a major incident.
Definition
Observability
Observability is the property of a system that allows its internal state to be inferred from its external outputs — metrics, logs and traces — enabling engineers to diagnose novel failure modes without prior instrumentation for that specific failure.
Delivery model
How We Operate Cloud Monitoring & Observability
A repeatable five-step engagement we run for every environment we instrument.
- 1
Telemetry Assessment
Audit of existing metrics, logs and tracing coverage against the service catalogue, identifying blind spots within 10 working days.
- 2
Golden Signals & Dashboards
Latency, traffic, errors and saturation instrumented per service with shared dashboards, replacing ad hoc per-team tooling.
- 3
Distributed Tracing Rollout
End-to-end tracing deployed across service boundaries so cross-service incidents can be localized in minutes, not hours.
- 4
Alerting & On-Call Design
Severity-tiered alerts with deduplication and runbook links, integrated into a defined on-call rotation and escalation policy.
- 5
Continuous Tuning & Reporting
Monthly review of MTTD, MTTR, alert-to-incident ratio and noise levels, with continuous threshold and dashboard refinement.
Compliance
Compliance Mapping — Cloud Monitoring & Observability
How our delivery model maps to the four reference frameworks German enterprises are audited against.
| Control | ISO 27001 | NIS2 | BSI-Grundschutz | GDPR |
|---|---|---|---|---|
| Event Logging & Monitoring | A.8.15 / A.8.16 | Art. 21(2)(b) | OPS.1.1.5 | Art. 32(1)(d) |
| Incident Detection & Reporting | A.5.24 / A.5.25 | Art. 23 | DER.2.1 | Art. 33 |
| Log Retention & Access Control | A.5.33 / A.8.9 | Art. 21(2)(d) | CON.6 | Art. 5(1)(e) |
| Clock Synchronization | A.8.17 | Art. 21(2)(b) | OPS.1.1.5 | Art. 5(1)(f) |
| Capacity & Performance Management | A.8.6 | Art. 21(2)(a) | OPS.1.1.2 | Art. 32(1)(b) |
Questions & Answers
Questions enterprise buyers ask
Definitions, delivery detail and commercial answers in one place — written to be quotable by search and AI answer engines, and readable by your team.
How it works
Monitoring checks predefined metrics against known thresholds to detect anticipated failure conditions. Observability is a broader system property that allows engineers to investigate unanticipated failure modes by correlating metrics, logs and traces, without prior knowledge of what to look for.
Working with Evolvice
In the cluster
Cloud & Infrastructure
Azure and AWS estates operated against measurable reliability and unit-cost targets.
Part of our Cloud & Infrastructure practiceTalk to the Evolvice team.
We start with a 30-minute diagnostic of your current delivery — at no cost and with no sales pitch. You leave with a written summary of findings either way.