intermix Blog

Best practices and lessons learned for cloud ETL and data engineering.

3 Steps for Fixing Slow Looker Dashboards with Amazon Redshift

7 min READ
July 10th 2018
Looker is a powerful tool for self-service analytics. A lot of companies use Looker on top of Amazon Redshift for business intelligence. It helps companies derive value from their data by making it easy to create custom reports and dashboards."Slow Looker dashboards" is one of the most frequent issu […]
Lars Kamp Lars Kamp

Have Your Postgres Cake with Amazon Redshift and eat it, too.

8 min READ
July 6th 2018
IntroductionAt intermix.io, we use Amazon Redshift as part of our stack. Amazon Redshift is an OLAP database, and a valuable tool for data teams due to its low cost and speed for analytical queries. We have a particular use case though. We’re using Amazon Redshift in an OLTP scenario, i.e. we’ve bui […]
Luke Gotszling Luke Gotszling

Why We Built intermix.io - “APM for Data”

5 min READ
June 27th 2018
To win in today's market, companies must build core competencies in advancing their use of data. Data-first companies are dominating their industries. e.g. Netflix vs network TV; Tinder vs Match.com; Stitch Fix vs The Mall. Mentions of “AI” are often heard in advertisements, product launches, and earnin […]
Paul Lappas Paul Lappas

Announcing App Tracing - Monitoring Your Data Apps With intermix.io

2 min READ
June 27th 2018
App Tracing surfaces important information about how apps & users interact with your data. It can help answer questions like:which user is responsible for this spike in concurrency?who is the most “expensive” Looker user?what is the average latency of a dashboard or model? Of all dashboards exec […]
Paul Lappas Paul Lappas

Boost your Workload Scalability with Smarter Amazon Redshift WLM Set Up

7 min READ
June 25th 2018
One of the major propositions of Amazon Redshift is simplicity. It only takes minutes to spin up a cluster. The time-to-first-report, i.e. the time it takes to go from creating a cluster to seeing the results of their first query, can be less than 15 minutes. That’s true even for petabyte-scale workloads.[…]
Lars Kamp Lars Kamp
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