Neotask gives you conversational control over your entire Confluent Cloud infrastructure -- Neotask manages Kafka topics, Flink pipelines, connectors, and TableFlow so your data streams never stall.
Create and manage Kafka topics, connectors, and streaming pipelines without navigating the Confluent console
Monitor Flink statement health, diagnose pipeline issues, and optimize data flows through conversation
Automate data infrastructure operations across environments, clusters, and catalog integrations
What You Can Do
Running real-time data infrastructure is complex. Neotask handles the operational overhead so your data engineers focus on architecture, not console clicking.
Kafka Topic Management
Create topics, adjust configurations, tag them for governance, and search by name or tag. Produce and consume messages for debugging. Your agent manages the full topic lifecycle across clusters.
Flink Pipeline Operations
Create Flink SQL statements, monitor their health, diagnose issues, and inspect table schemas. When a pipeline breaks at 2am, your agent can check statement exceptions and surface the root cause without waking anyone up.
Connector Management
Deploy and manage connectors that move data between Kafka and external systems. Create new connectors, check their status, and delete broken ones -- all through conversation.
TableFlow and Catalog
Bridge your Kafka topics to your lakehouse with TableFlow. Create, update, and manage catalog integrations that keep your data warehouse in sync with your event streams.
Every action runs autonomously or requires your approval -- you decide.
Try Asking
"Create a new Kafka topic called 'order-events' with 12 partitions in the production cluster"
"Show me all Flink statements that are in an unhealthy state and what exceptions they're throwing"
"List all connectors in the staging environment and show which ones are failing"
"Tag the 'customer-pii' topic with 'sensitive-data' and 'gdpr-covered'"
"Produce a test message to the 'payment-events' topic to verify the pipeline is flowing"
"Create a TableFlow topic that syncs our order data to the Snowflake catalog integration"
"What topics exist in the production cluster that contain PII tags?"
"Delete the broken S3 sink connector and recreate it with the corrected configuration"
Pro Tips
Tag topics consistently for governance -- agents can search by tag during compliance reviews, making PII audits fast.
Use Flink statement health checks as a scheduled automation to catch pipeline issues before they impact downstream consumers.
When debugging connector issues, ask for both config and status together to see the full picture.
TableFlow catalog integrations bridge Kafka and your lakehouse -- manage them alongside topics for end-to-end pipeline visibility.
Enable approval gates for production topic creation and deletion to prevent accidental data loss.
Consume messages from a topic during debugging to verify data format and content without writing consumer code.
Multiple workspaces and capacity for larger teams.
Works Well With
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Sentry - Connect Confluent Kafka with Sentry error monitoring to stream errors, track incidents, and route alerts through your ev...
More Infrastructure Integrations
Hyperping MCP server - Hyperping is a status-page and uptime monitoring tool, and this MCP server pulls that monitoring data into a conversation.
PostgreSQL - Query, optimize, and manage your PostgreSQL databases through natural conversation - and Neotask.
BigQuery - Analyze petabyte-scale data, manage costs, and run BigQuery jobs - Neotask brings AI agents to Google's data warehouse.
Vercel - Neotask manages your Vercel deployments - monitor build logs, trigger deployments, buy domains, and debug production issues through conversation.
PagerDuty - Neotask turns PagerDuty into an autonomous incident command center - manage incidents, schedules, escalation policies, and status pages agents.
Terraform - Neotask manages your Terraform Cloud infrastructure - operate workspaces, stacks, and policy sets without touching the CLI or dashboard.