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16 templates0
Cold chain monitoring workflow with IoT temperature sensors, real-time alerts, excursion documentation, corrective action triggers, and compliance reporting.
Deployment rollback workflow with issue detection, rollback decision, previous version restoration, health verification, and post-mortem documentation.
Production incident response workflow with severity-based routing, war room coordination, incident commander assignment, customer communication, root cause analysis, and postmortem scheduling.
Insurance claim processing workflow with incident documentation, claim filing, adjuster assignment, damage assessment, and settlement negotiation.
Monitoring and alerting workflow with metric collection, threshold evaluation, alert routing, escalation policies, and incident creation.
On-call rotation workflow with schedule creation, shift handoffs, override management, escalation policies, and fair rotation distribution.
An observability architecture diagram implementing the three pillars (metrics, traces, logs) with OpenTelemetry SDK instrumentation, OTLP collector pipeline, Prometheus, Jaeger, and Loki backends, Grafana dashboards, SLO/SLI tracking, and PagerDuty alerting integration. This template provides a complete observability stack reference showing how telemetry data flows from application instrumentation through collection, storage, visualization, and incident response. Essential for SRE teams building production monitoring infrastructure.
A parallel fan-out architecture that runs multiple agents simultaneously on independent checks (style, security, performance) and then merges results. This is a standard multi-agent design approach for throughput, mapping cleanly to CI/CD, incident response, and research. Fan-in reconciliation becomes the subtle part.
Incident response workflow that documents the current state, traces the root cause, validates controls and creates a prevention protocol before the case is closed.
Closing-proof workflow across detection, remediation and assurance: measure the fix rather than the reaction, rate the outage risk and refuse closure without evidence.
An AGMM example: an SRE agent outputs its API latency root-cause reasoning chain as an interactive mind map, reversing the Human-to-Machine explainability flow.
How a single account suspension cascades into an 8-hour platform outage: control plane offline, API down, caches expiring, workloads returning 404 and OAuth throttled.
Make.com automation example as FlowZap Code (with .fz download).
n8n workflow example as FlowZap Code (with .fz download).
n8n workflow example as FlowZap Code (with .fz download).
n8n workflow example as FlowZap Code (with .fz download).