Stratus Partners Limited Run the CRRI™ Assessment
Platform Intelligence

Intelligent infrastructure.
Zero manual toil.

AI-driven anomaly detection, predictive scaling, automated security auditing and self-healing infrastructure. All running without human intervention, around the clock.

Core Capabilities
  • AI-Driven Anomaly Detection
  • Predictive Auto-Scaling
  • Automated Security Auditing
  • Self-Healing Infrastructure
Core Capabilities

Automation built into the platform.

Four intelligent systems that work continuously so your engineers do not have to.

AI-Driven Anomaly Detection
Anomaly detection trained on your own metric baselines flags deviations before they become incidents, routing alerts to your on-call team in seconds.
PrometheusGrafanaPagerDutyOpsGenie
Predictive Auto-Scaling
Event-driven autoscaling removes reactive lag. Nodes pre-scale ahead of batch jobs, payment peaks, and scheduled traffic spikes — not after.
KEDAHPAVPACluster Autoscaler
Automated Security Auditing
Container images scanned in CI. Every Terraform plan validated. Runtime behaviour monitored continuously. Vulnerable builds blocked before they reach production.
TrivyCheckovFalcoAWS Security Hub
Self-Healing Infrastructure
Degraded pods restart. Unhealthy nodes drain. Services recover. All without anyone waking up — powered by custom operators and progressive delivery.
Kubernetes OperatorsArgo RolloutsLokiRunbook Automation
0
Reduction in MTTR
Measured on EKS platform after deploying Prometheus anomaly detection and automated runbooks
0
Manual incident interventions
On Kubernetes platforms with self-healing operators and Argo Rollouts progressive delivery enabled
0
Time to alert after anomaly
Via Prometheus alertmanager with sub-minute scrape intervals and Grafana OnCall routing
0
Cloud spend reduction
Achieved on AWS workloads using KEDA-driven scaling, Spot instance automation and FinOps rightsizing
How It Works

Automation that runs quietly in the background.

Every capability is instrumented, tested and tuned to your environment before go-live. Nothing generic, nothing off-the-shelf.

01
Baseline your environment

We instrument your platform with Prometheus and Grafana, establishing metric baselines across every critical service and dependency before any automation is applied.

  • Prometheus stack deployment
  • Grafana dashboard setup
  • Metric baseline report
  • Dependency topology map
02
Train on your traffic patterns

Anomaly detection and predictive scaling models are trained against your own historical data, not generic thresholds. Your platform, your patterns.

  • Historical data ingestion
  • Anomaly threshold tuning
  • KEDA scaling rules
  • Load pattern analysis
03
Automate and hand over

Self-healing operators, security gates and cost controls go live with full runbook documentation. Your team stays in control. The platform handles the rest.

  • Kubernetes operators deployed
  • Argo Rollouts configured
  • Security gates enabled
  • Runbook documentation
04
Monitor and report

Ongoing anomaly detection reporting, FinOps spend dashboards and monthly optimisation reviews keep your platform improving long after go-live.

  • Monthly anomaly reports
  • FinOps cost dashboards
  • Optimisation reviews
  • SLA performance tracking
Reliability Diagnostic

Identify Where Your
Platform Is Exposed.

The CRRI™ assessment surfaces reliability gaps across architecture, infrastructure, observability, security, and cost governance — with a quantified financial exposure estimate.

Run the CRRI™ Assessment