Data Streaming Troubleshooting

Troubleshoot your data and applications.

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Find the needle in the haystack

Quickly locate erroneous records in your data streams with a few simple clicks. Select an attribute, apply a filter, or leverage advanced tools like regular expressions, JavaScript, or SQL with Python and Rust for more complex filtering.

Find records by offset, partition, timestamp or by date and time. Our industry-leading data explorer is built to streamline sorting, searching, and filtering— even when new data arrives in real-time.

Collaborate with your colleagues

Collaborate seamlessly with your colleagues by sharing your findings. Select and export records or save your work as a shareable view, allowing your team to use it as a foundation for troubleshooting. Sharing the link enables faster bug resolution and improves teamwork. It’s also perfect for collaboration with test and business teams.

Trace the origin and flow of messages

Trace erroneous messages to their producing application and identify consuming application crashes caused by them. Quickly navigate to the consuming application to skip over the problematic message, or delete the message directly from the topic to ensure smooth operation.

Receive notifications for dead letter messages

Receive real-time notifications in Slack, Teams, or PagerDuty when new messages are detected in dead letter queues. Identify and export relevant messages as CSV or JSON files for collaboration, or share a direct link to the view for seamless access. Fix issues fast with JavaScript or manual edits and re-ingest them straight into the original stream.

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Discovery at Scale

Make data streaming accessible to everyone. Quickly find topics and applications across all clusters. Keep topics, applications and SQL worksheets organized with the comprehensive business domain dashboard.

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Build + run data streaming processors without the complexity

Facilitate rapid development through low-code by writing your own data streaming processors with JavaScript, Python or SQL and run them within minutes instead of days.

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Correct data & improve data quality

Correct data in dead letter queues with a few clicks. Create automations for common fixes and receive notifications when data fails to meet quality criteria.

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Improve your testing and quality assurance

Create and re-route test data and invite test teams to check for plausibility & business logic. Clone test environments with production-like data while staying compliant through data anonymization and masking.

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Keep your applications up and running

Skip over poison pills (erroneous messages) and keep track of your application’s performance.

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Try the Data Streamhouse for yourself

Experience the platform powering data streaming success around the globe.