Full-stack observability across your entire IT environment — infrastructure, applications, networks, databases, and end-user experience. Real-time alerting. Automated response. Zero blind spots.
web-prod-01 · CPU Usage
Returned within normal bounds (42%). Auto-resolved.
db-cluster-prod · Connection Pool
Scheduled maintenance window started.
load-balancer-02 · Response Time
Avg latency 98ms. Healthy. SLA within target.
storage-array-01 · Disk I/O Wait
I/O wait at 78% — approaching critical threshold.
net-core-sw-01 · Packet Loss
Packet loss 0.02%. Normal operating baseline.
api-gateway-prod · Error Rate
Error rate 3.8% — PR team notified. Investigating.
PR AutoOps · Runbook RB-0041
Auto-remediation triggered. ETA resolution: 4 min.
Our monitoring service spans every layer of your IT stack. No domain left unobserved — no alert left uncorrelated.
Infrastructure Health
CPU, memory, disk I/O, and power state across physical servers, VMs, and hypervisors — with predictive anomaly detection.
64
metrics tracked
99.97%
uptime achieved
Application Performance
Response times, error rates, transaction traces, and dependency maps for every application service in your environment.
38
metrics tracked
98ms
avg latency
Network & Bandwidth
Throughput, latency, packet loss, and routing anomalies across WAN links, switches, and firewalls — with path trace diagnostics.
28
metrics tracked
0.01%
packet loss
Security Events
Failed logins, privilege escalation, policy violations, intrusion indicators, and vulnerability scan results — correlated in real time.
52
event types
2.1s
MTTD
Database & Storage
Query performance, replication lag, connection pool exhaustion, and storage capacity projections across SQL, NoSQL, and object stores.
44
metrics tracked
100%
this month uptime
End-User Experience
Synthetic user journeys, real-user monitoring (RUM), and endpoint health — measuring what users actually experience, not just server metrics.
18
journeys tested
1.2s
avg page load
We configure alerts with three-zone thresholds — SAFE, WARN, and CRITICAL — so you only get paged when it truly matters, not every time a metric briefly ticks upward.
CPU Utilisation
Server and VM processor load tracked per core. Sustained spikes indicate runaway processes or under-provisioning before users are impacted.
Application Response Time
End-to-end API and web application latency. Rising response times predict user experience degradation and potential SLA breach well in advance.
Error Rate
HTTP 5xx errors, unhandled exceptions, and transaction failures as a percentage of total requests. Even a 1% error rate can represent thousands of failed transactions.
Disk I/O Wait
Time the processor spends waiting for disk operations. High I/O wait is a leading indicator of storage bottlenecks that will degrade databases and file services.
We deploy, configure, and operate the complete monitoring pipeline — from data collection through to automated alerting and executive reporting. You get the insight; we handle the infrastructure.
Every client receives a monthly SLA compliance report showing actual uptime against contracted targets — per service tier, with incident counts and mean resolution times.
| Service / Tier | This Month | SLA Target | Status | Incidents | Avg MTTR |
|---|---|---|---|---|---|
|
Web Applications Client-facing portals & APIs |
99.97% | 99.9% | Compliant | 1 | 8 min |
|
Core Infrastructure Hypervisors, VMs, storage arrays |
99.95% | 99.9% | Compliant | 2 | 12 min |
|
Network & WAN Core switches, routers, WAN links |
99.82% | 99.9% | Watch | 4 | 22 min |
|
Database Cluster Primary SQL + replica nodes |
100% | 99.95% | Compliant | 0 | — |
Our anomaly detection engine identifies event-volume spikes against baseline behaviour — not just fixed thresholds. Here's a sample week from a monitored environment.
We don't build monitoring tools — we deploy and operate the tools your environment deserves. Open-source and enterprise-grade platforms, configured to your exact needs.
Infrastructure Monitoring
Physical servers, VMs, containers, and cloud instances — tracked continuously for resource health, availability, and performance drift.
We deploy Prometheus with custom exporters for each infrastructure layer, visualised in Grafana dashboards with pre-built PR alert rules. Zabbix handles legacy hardware where agents can't run.
Zero-config visibility from day oneApplication Performance (APM)
Distributed tracing, transaction profiling, and error tracking across every service — from front-end load times to back-end DB query latency.
APM agents are instrumented at code or container level during onboarding. We configure service maps and dependency graphs so your team can trace any transaction end to end in under 30 seconds.
Full transaction traceabilityLog Management
Centralised ingestion, parsing, and indexed search across all application, system, and security logs — with retention policies that meet your compliance requirements.
All log streams are normalised to a common schema on ingestion. We build pre-configured dashboards for security, operations, and compliance views — and set log-pattern alerts for known error signatures.
Search 30 days of logs in < 2 secondsAlerting & Incident Response
Intelligent alert routing, on-call schedule management, escalation policies, and runbook automation — so every alert reaches the right person with the right context.
We configure escalation trees, on-call rotation, and deduplication rules so your team doesn't get woken at 3am by a known non-critical event. Automated runbooks resolve common issues before a human ever needs to respond.
Alert fatigue eliminated from day oneStop discovering problems from user complaints. Let's build a monitoring stack that tells you what's happening — before your users even notice.
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