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Resources · White Papers

Research & deep dives
from the Applicare team.

Technical white papers, architecture guides, and research reports on observability, AIOps, compliance, and platform engineering.

📄 Featured White Paper
Applicare Performance Made Simple

A comprehensive guide to full-stack performance observability — from entity graph fundamentals to AI-powered root cause analysis and self-healing automation. Written for platform engineers, SREs, and technical leaders.

What’s inside
01The entity graph architecture explained
02IntelliSense anomaly detection deep dive
03ArcIn root cause traversal algorithm
04IntelliTune policy-gated automation
05FedRAMP & compliance automation
06Deployment & integration patterns
📄 28 pages 🎓 Technical 📹 Free
More white papers
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Compliance & Security
Continuous Compliance: From Annual Audits to Real-Time Posture
How continuous NIST 800-53 monitoring replaces the annual compliance scramble — with ATO preparation reduced from 11 weeks to 18 days.
📄 18 pages FedRAMP Read →
⎈
Kubernetes & Cloud
Kubernetes Self-Healing at Scale: 400,000 Auto-Resolutions Analysed
A data-driven analysis of the 10 remediation patterns responsible for 78% of all IntelliTune auto-resolutions across 200+ enterprise Kubernetes environments.
📄 22 pages Engineering Read →
🌎
Cloud Economics
The True Cost of Alert Fatigue: Quantifying the Hidden Engineering Tax
Research across Enterprise customers reveals the full financial and human cost of threshold-based alerting — and the ROI case for AI-driven anomaly detection.
📄 16 pages Research Read →
🧠
AIOps
Causal AI vs. Correlation: Why Root Cause Matters More Than Anomaly Detection
The architectural differences between correlation-based and causal AI approaches to observability — and why the distinction determines your MTTR.
📄 20 pages Technical Read →
🔒
Security
Zero-Day Detection Without Signatures: A Behavioural Baseline Approach
How per-entity behavioural baselines catch lateral movement, abnormal egress, and privilege escalation that signature-based tools miss by design.
📄 14 pages Security Read →
🖹
Database Performance
Database Observability at Enterprise Scale: N+1, Pool Exhaustion, and Beyond
A deep dive into the database performance patterns responsible for 65% of enterprise production incidents — and how ArcIn surfaces them automatically.
📄 19 pages Technical Read →
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