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Blinkist uses intermix.io to find rogue queries and optimize schema configurations

Blinkist’s Redshift cluster had experienced periods of unexpected downtime. The data team had no visibility when developers would instrument a new event type in the Blinkist app. But the changes made by a developer could trigger a sudden spike in data growth, causing a schema to fill up the cluster. Read more...
"We can see the historic growth of our data down to the schema, with visibility into the quality of our tables. intermix.io reads like a story of our data infrastructure – I see immediately what’s up.”
Sebastian Schleicher
HEAD OF IT, BLINKIST
2 xFASTER QUERIES

Potenza uses intermix.io to fix ETL job failures and achieve high concurrency

As data volume grew, Potenza's ETL service would unexpectedly stop syncing data, leading to data loss. On the user side, dashboards started hanging, leaving customers frustrated, and blocking the engineering team with troubleshooting the complaints. Read more...
“Our cluster was simply unresponsive. Dashboards wouldn’t return results for 20 minutes. Today, we’re at a completely different level of performance. Now, 3 seconds wait time is the worst case scenario for us.“
Aaron Lozier
CTO, POTENZA AUTO
99%REDUCTION IN QUEUE WAIT TIME

Udemy uses intermix.io to detect bottlenecks that cause slow queries

The data team at Udemy was increasing cluster size, without reaping the performance boost they were expecting. They also started leveraging some of the utilities and scripts from the Redshift Utils GitHub, but never really saw any long-lasting improvements. Read more...
"Our data is growing. But also the number of workflows that we need to process every day has increased dramatically. Without Intermix, we simply wouldn’t have been able to create the cluster that exactly fit our needs."
Nathan Sullins
PRINCIPAL SW ENGINEER
4.1 xINCREASE IN QUERY THROUGHPUT