Resolve production cloud outages with zero human 3 AM pages.
AutoOps continuously analyzes kernel eBPF telemetry, detects memory leaks and cascading network deadlocks, formulates surgical runbook remediations, and rolls out canary-verified patches in under 60 seconds.
Zero-overhead socket tracing identifies TCP connection pool exhaustion, file descriptor leaks & packet drops at kernel layer.
Selects least-disruptive remediation (pod quarantine, connection pool drain, traffic reroute, or limit hot-patching).
Validates P99 latency and error rates return to baseline before promoting candidate fix and closing incident ticket.
Simulate Autonomous Outage Remediation
Select an active production incident below to execute automated container quarantine, thread dump analysis, and canary traffic shifts.
Memory leak in Envoy connection pool causing OOMKilled crashloops on 14 pods.
4-Layer Autonomous SRE Architecture
Engineered with zero runtime overhead, granular Linux kernel event hooks, and automated rollback guardrails.
01. Kernel eBPF Telemetry Ingestion
Zero-Overhead Socket & System Call Probes
Inspects L4/L7 TCP connection queues, kernel buffer drops, and memory allocation traps at zero runtime latency penalty.
Declarative SRE Automation
Define incident blast radius policies, threshold triggers, and canary gates directly in Git via Kubernetes CRDs, Terraform modules, or Python SDK hooks.
apiVersion: sre.autoops.io/v1alpha1
kind: AutoOpsClusterPolicy
metadata:
name: prod-payment-ingress-protection
namespace: kube-system
spec:
targetCluster: prod-us-east-k8s-01
telemetrySource:
ebpfProbe: socket_lifecycle_trace
sampleIntervalMs: 50
remediationThresholds:
maxMemoryPressurePct: 85
tcpDropRatePerSec: 15
selfHealingAction:
strategy: CanaryQuarantineAndHotPatch
canaryTrafficPercentage: 10
verificationWindowSeconds: 30
fallback: ImmediateRollbackToLastHealthyRevisionMeasured Performance at Scale
Real-world telemetry metrics across production Kubernetes deployments handling 50,000+ RPS.
Avg Autonomous MTTR
Sub-minute detection to canary-verified rollback vs 45m industry human average.
Unattended Resolution
Of P2 and P3 incidents completely resolved with zero engineer intervention required.
eBPF Kernel Overhead
Zero-overhead socket tracing without inserting slow proxy sidecars or latency penalties.
Availability SLA
High-resiliency cluster uptime target verified through continuous automated chaos tests.
Autonomous with Strict Guardrails
AutoOps enforces cryptographic blast-radius caps, automated circuit breakers, and step-up approvals for high-risk operations.
Blast Radius Limits
Autonomous node restarts and canary traffic shifts are strictly capped at 15% of total cluster capacity at any one time.
Circuit Breaker Overrides
If canary error rates exceed baseline by >0.5%, all automated changes instantly freeze and roll back to the last known good state.
Supervisor Step-Up Approval
Database schema migrations and production volume resizing mandate a 1-tap cryptographic signature from the on-call principal engineer.
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