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confluent-architect

Confluent Cloud architecture - eCKU sizing, cluster linking, multi-region strategies, Schema Registry HA, ksqlDB, Stream Governance.

Why use this skill?

Master Confluent Cloud architecture with this expert OpenClaw skill. Get professional guidance on eCKU sizing, cluster linking, and Stream Governance for your Kafka clusters.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/anton-abyzov/sw-confluent-architect
Or

What This Skill Does

The Confluent Architect skill is a specialized AI assistant designed to streamline the design, planning, and optimization of Confluent Cloud environments. It acts as an expert consultant for Apache Kafka deployments, providing deep technical insights into architectural patterns, capacity planning, and operational governance. By leveraging this skill, users can obtain professional-grade recommendations on complex topics such as eCKU (equivalent Confluent Kafka Unit) sizing calculations, multi-region disaster recovery strategies, and the implementation of high-availability architectures for Schema Registry. The skill further supports advanced stream processing configurations, including ksqlDB performance tuning, cluster linking setups, and the configuration of Stream Governance tools to ensure data quality and compliance across distributed event streaming pipelines.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/anton-abyzov/sw-confluent-architect

Ensure that you have the latest version of the ClawHub CLI installed to avoid compatibility issues with the registry.

Use Cases

This skill is indispensable for platform engineers and system architects tasked with managing large-scale streaming infrastructure. Use it when you need to calculate initial eCKU requirements based on anticipated throughput and retention policies. It is equally valuable for designing cross-cloud or multi-region replication strategies to satisfy strict RPO/RTO requirements. Furthermore, teams implementing Stream Governance can utilize the agent to establish best practices for data lineage and schema evolution management, ensuring that downstream consumers remain resilient to upstream changes.

Example Prompts

  1. "Calculate the estimated eCKU requirements for a production cluster with 50MB/s ingress, 200MB/s egress, and a 30-day retention policy on standard tier."
  2. "Propose a multi-region disaster recovery strategy using cluster linking to achieve sub-10 second latency for cross-region replication."
  3. "What are the recommended high-availability configurations for the Schema Registry when running across three availability zones in Confluent Cloud?"

Tips & Limitations

The Confluent Architect skill provides architectural guidance based on general best practices and documentation. While it is highly accurate for sizing and strategic planning, it cannot directly modify your Confluent Cloud control plane or perform live administrative tasks. Always validate sizing recommendations against your specific workload metrics during a staging phase before applying changes to production. When dealing with complex network topologies, ensure you provide the agent with specific information regarding your cloud provider's latency and bandwidth constraints for the best possible architectural advice.

Metadata

Stars1054
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Updated2026-02-16
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-anton-abyzov-sw-confluent-architect": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#kafka#confluent#streaming#architecture#devops
Safety Score: 5/5