feat(insepction): add inspection design#3290
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* build: align opensource dependency versions * build: skip legacy netty alias in alignment rule * build: revert guava baseline bump * build: remove duplicate oshi version and lib definitions The oshi key was defined twice in both versions and libs blocks, with the later definition silently overriding the earlier one. Remove the stale oshi-core-java11:6.4.7 entries (deprecated since oshi 6.5) and keep oshi-core:6.8.1 which was already the effective resolution. No behavioral change. * Revert "build: remove duplicate oshi version and lib definitions" This reverts commit b47e964. * build: remove shadowed oshi version and lib entries versions.oshi and libs.oshi were each defined twice in the Groovy map. The earlier entries (oshi-core-java11:6.4.7) were silently overridden by the later ones (oshi-core:6.8.1) since commit 1119acc. Remove the shadowed entries to eliminate ambiguity. No behavioral change.
…) (#3298) * feat(devkit): add namespace support for multi-instance isolation * docs(devkit): add namespace section to README * refactor(devkit): simplify namespace implementation - Remove container_name from docker-compose.yml (COMPOSE_PROJECT_NAME handles isolation) - Remove DEVKIT_PREFIX variable from set-ns and compose.env - Replace repetitive port variable assignments with PORT_DEFS array loop - Simplify PORT_OFFSET reading with grep instead of source - Simplify chaos-status minio check with case statement - Fix _node-list exit code when no containers running * feat(devkit): add python3 and uv to container image
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Introduce a cluster-level event system that publishes structured events to the __automq_cluster_events internal topic using CloudEvents + protobuf. Core infrastructure: - ClusterEventPublisher: async, best-effort producer that wraps events as CloudEvents and writes them to the internal topic - ClusterEventsReader: consumer-based reader for retrieving events - ClusterEventsCommand: CLI tool (kafka-cluster-events.sh) for reading and displaying cluster events RequestErrorEvent pipeline: - Detects sustained request error patterns (e.g. auth failures, authorization errors) on the broker and publishes them as events, enabling the control plane to surface risky or misconfigured clients - Integrated into RequestChannel and KafkaApis to capture errors on the broker request path - ResourceErrorExtractor parses per-resource error codes from Kafka API responses (Produce, Fetch, Metadata, etc.) - RequestErrorAccumulator aggregates errors in-memory by (apiKey, errorCode, resource) with client IP/ID tracking, then periodically flushes accumulated buckets as RequestErrorEvent records
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