oci-events_skill

Overview

This skill helps you implement and operate OCI Events for event-driven automation, serverless integrations, and reliable delivery patterns. It focuses on CloudEvents 1.0 usage in OCI, event filter syntax, action types, dead letter queue configuration, and common anti-patterns to avoid. Use it to design predictable, cost-efficient event-driven workflows across Functions, Streaming, and Notifications.

How this skill works

The skill explains how OCI emits CloudEvents, how to write JSON-based event rule conditions, and how rules map to actions like FAAS, ONS, and Streaming. It shows recommended deployment patterns (use Landing Zone Terraform modules), how to attach DLQs for failed deliveries, and how to diagnose delivery failures (IAM, filters, limits). It highlights limits and ordering behavior so consumers remain idempotent and resilient.

When to use it

• Designing event-driven automation or reactive workflows (Object Storage → Function, Instance lifecycle → Notification)
• Setting up event rules and CloudEvents filter expressions with correct attributes
• Integrating Events with Functions, Streaming, or Notifications and configuring DLQs
• Troubleshooting rules that appear active but don’t invoke actions (IAM, filter or action issues)
• Deciding between Events vs Alarms or Streaming for the correct use case

Best practices

• Use official OCI Landing Zone Terraform modules for consistent, auditable event rule provisioning
• Write specific event filters—avoid wildcards that generate noise and cost
• Always configure a dead letter queue (Streaming) for retry and analysis of failed deliveries
• Grant the Events service explicit IAM permissions to invoke target actions
• Keep event payloads reference-only; never embed secrets or sensitive data
• Limit actions per rule and use a fan-out pattern (rule → single function → stream → consumers) for scale

Example use cases

• Trigger a security-function when a compute instance is terminated (specific eventType filter)
• Invoke a function to process uploaded CSVs in Object Storage with DLQ for failed runs
• Fan-out a single event to multiple consumers via Streaming to avoid >5 actions per rule
• Notify teams on resource lifecycle changes using ONS topics with concise filters
• Implement incident playbooks: Events detect state change → Function orchestrates remediation