Zero-Downtime Deployments
Route traffic intelligently during releases using health-gate-protected transitions. The platform ensures zero user-facing errors during any deployment operation — regardless of service complexity or traffic volume.
Full Feature Reference
Every Tool Your Team Needs to Ship
ConnorLive Platform is the complete DevOps automation suite — deployment engine, observability, AI operations, and enterprise security in one unified platform.
Platform Feature Categories
Category 01
Deployment Engine
Canary Deployments
Gradually shift traffic to a new release — 1%, 10%, 50%, 100% — while automated health checks monitor latency, error rates, and custom business metrics at each step. Roll forward or roll back based on real data, not guesses.
Blue-Green Deployments
Maintain two identical environments (blue and green) and switch traffic instantly. Flip between versions in milliseconds with a single CLI command or UI action. The previous environment remains on standby for instant rollback.
Rolling Deployments
Replace running instances incrementally with zero service interruption. Configure batch size, max surge, and max unavailable thresholds. Full Kubernetes-native rolling update support with custom readiness probe integration.
Deployment Gates & Approvals
Configure mandatory pre-deployment gates: automated test pass rates, code coverage thresholds, SAST scan results, and manual human approvals for regulated environments. Fully auditable approval trails.
Feature Flags Integration
Native integration with LaunchDarkly, Unleash, and custom flag providers. Decouple deployments from feature releases. Target specific user segments for gradual rollouts without redeployment.
YAML — Pipeline Config
connorlive.yaml
pipeline:
name: "api-service-production"
strategy: "canary"
canary:
steps: [5, 20, 50, 100]
analysis:
interval: "60s"
threshold_error_rate: 0.5 # percent
threshold_latency_p99: 200 # ms
rollback:
auto: true
notify: ["slack", "pagerduty"]
name: "api-service-production"
strategy: "canary"
canary:
steps: [5, 20, 50, 100]
analysis:
interval: "60s"
threshold_error_rate: 0.5 # percent
threshold_latency_p99: 200 # ms
rollback:
auto: true
notify: ["slack", "pagerduty"]
Category 02
Observability Suite
Live Log Streaming
Aggregate structured logs from all running containers, pods, and serverless functions in real time. Full-text search, log correlation by deployment ID, request trace ID, or custom fields — with sub-100ms query response times.
Metrics & SLO Monitoring
Track golden signals — latency, traffic, errors, saturation — with automatic SLO/SLA burn rate calculations. Define error budgets per service. Get burn rate alerts before your budget runs out, not after.
Distributed Tracing
End-to-end trace visualization across microservices using OpenTelemetry. Automatically correlate traces to the specific deployment version that introduced a regression. Flame graph rendering for performance bottleneck identification.
Alerting & Incident Routing
Configurable alert policies with grouping, deduplication, and intelligent routing. Integrates natively with PagerDuty, OpsGenie, Slack, and webhooks. Alert suppression windows during known maintenance periods.
Custom Dashboards
Build deployment-aware dashboards that overlay release events onto your metrics timeline. See exactly which version shipped when — and correlate it to any metric change. Share dashboards across teams with role-based access.
Deployment Event Correlation
Every deploy, rollback, and configuration change is automatically annotated on all metric graphs. Instantly see the relationship between a deploy event and a change in error rate, latency, or business KPIs.
Category 03
AI Operations
AI Anomaly Detection
ML models trained on billions of real deployment signals detect statistically significant deviations in latency, error rate, and throughput. Alerts fire within seconds of anomaly onset — before human operators would notice.
Auto-Remediation Engine
When an anomaly is detected, the system automatically executes the safest remediation action: rollback, scale-out, circuit breaker activation, or traffic rerouting. Fully configurable confidence thresholds per environment.
Predictive Auto-Scaling
Analyze historical traffic patterns and upcoming scheduled events to pre-provision capacity before demand spikes occur. Reduce both cold-start latency and over-provisioning costs simultaneously.
AI-Generated Post-Mortems
After every incident or auto-rollback, the platform generates a structured post-mortem draft: timeline of events, contributing factors, impact scope, and recommended follow-up actions — ready for your team to review in seconds.
Deployment Risk Scoring
Before every deploy, the AI engine calculates a risk score based on code change velocity, service dependency graph, current traffic load, and historical incident data for that service. Block high-risk deploys or require additional approvals.
Configuration Drift Detection
Continuously compare live infrastructure state against desired state in Git. Alert when configuration drift is detected — before it causes an incident. Auto-remediate drift with a single approval click.
Category 04
Security & Compliance
Role-Based Access Control (RBAC)
Granular permission models: org admin, team lead, deployer, read-only. SSO integration via SAML 2.0, OIDC, and LDAP. Full audit log of every access event, permission change, and deployment action.
Immutable Audit Logs
Every deployment event, approval, rollback, and configuration change is written to a tamper-evident, cryptographically signed audit log. Export to your SIEM or compliance tool of choice.
SOC 2 Type II Certified
ConnorLive Platform maintains SOC 2 Type II certification. Security, availability, and confidentiality trust service criteria are independently audited annually. Report available to enterprise customers on request.
GDPR & Data Residency
All customer data is encrypted at rest (AES-256) and in transit (TLS 1.3). EU data residency option available. Full GDPR compliance documentation, DPA templates, and data deletion workflows included.
Secrets Management
Native integration with HashiCorp Vault, AWS Secrets Manager, GCP Secret Manager, and Azure Key Vault. Secrets are never stored in plain text, never logged, and automatically rotated on configurable schedules.
Container Image Scanning
Every deployment container image is scanned for CVEs before promotion to production. Block deploys that introduce critical vulnerabilities. Automatic SBOMs generated per build for compliance and supply chain security.
Under the Hood
Technical Architecture Overview
ConnorLive Platform — System Architecture
▶ Control Plane (Kubernetes-native)
├ Deployment Orchestrator — Go 1.22, gRPC API, Raft consensus
├ AI Inference Service — Python 3.12, PyTorch, ONNX runtime
├ Observability Collector — OpenTelemetry Collector 0.96
└ GitOps Sync Engine — Custom Flux-compatible controller
▶ Data Layer
├ Time-series Metrics — VictoriaMetrics (10M series/node)
├ Log Storage — Apache Kafka + ClickHouse
└ State Store — etcd v3 (encrypted at rest)
▶ Agent (deployed per cluster)
└ connorlive-agent — ~8MB binary, <0.1% CPU baseline
Compatibility