Solutions

Real-World Anomaly Resolution

Concrete examples of how Cloud Insights maps causal flows, identifies the true driver, and enables automated action before incidents damage application reliability.

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Use Case A

The Noisy Neighbor Scenario

In shared hypervisor environments, neighbor VM activity can cripple your application’s stability. Cloud Insights identifies the precise resource contention path and reveals the real driver behind symptoms.

Noisy Neighbor Scenario flow
Real-time K8s metrics → unsupervised behavioral AI modeling → causality RCA → instant actionable anomaly detection and root cause information.

Critical Metric Groups

  • Networking: system.network_summary.tcp.TCPSynRetrans
  • Sockets: system.socket.summary.tcp.all.established
  • Disk: system.diskio.sda.read.time
  • Database: mysql.status.command.select
  • Redis: redis.info.memory.fragmentation.ratio

Resolution

Cloud Insights identifies the specific CPU and disk contention and triggers movement toward Level 5 Autonomize, suggesting resource reallocation or VM migration to remove the performance bottleneck.

Expected Path — Causal Flow

Requests pile up — System.socket.all
↓
CPU load increases — *.cpu.*
↓
Networking impact — System.network_summary
↓
Socket queue congestion — System.socket.*
↓
CPU IRQ spikes — System.cpu.irq
↓
Disk IO saturation — system.diskio.*
↓
Database / Redis latency — mysql.* / redis.*
Causal graph from anomaly to root cause
Example causal graph showing path discovery from isAnomaly to contributing metrics.
Use Case B

DDoS SynAttack Mitigation

External Torshammer-style attacks flood the network, causing the system to ignore legitimate traffic. Using Pixie-derived metrics, Cloud Insights identifies the attack vector at the front-end layer.

Critical Metrics

  • front_end.request_throughput
  • rx_bytes_per_ns
  • front_end.cpu
  • front_end.rss
  • front_end.vsize

Expected Path

front_end.tx
↓
rabbitmq.tx
↓
front_end.cpu
↓
front_end.rss
↓
front_end.vsize
↓
front_end.latency
↓
front_end.request_throughput
DDoS SynAttack mitigation charts
Metric chart evidence used to identify DDoS SynAttack causal behavior and mitigation path.

Resolution

By mapping the relationship between RX spikes, memory pressure, latency degradation, and application throughput, Cloud Insights enables automated identification and mitigation before application failure or service disruption.

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