Redshift specialists for your dedicated team.

Where Redshift fits in a long-term product team.

Redshift performance is a function of physical design far more than of query text. Distribution style decides whether a join happens locally or redistributes data across the network, and a table distributed on the wrong column turns a fast join into a cluster-wide data movement. That decision is the main lever and the one most often made by default.

Concurrency is the other recurring problem. A small number of heavy queries can occupy the cluster and leave dashboards timing out, and without workload management to separate the two, one analyst's exploratory query becomes everyone's outage.

What your dedicated team does with Redshift.

Warehouses degrade quietly. Tables grow, statistics go stale, vacuum is not run, and queries that were fast last year now take minutes with nothing in the change log to explain it.

Routine maintenance and a regular review of the physical design are ongoing work, the kind of standing responsibility described in how it works.

Common Redshift use cases.

• Distribution designed for the joins Keys chosen so the common joins stay local to each node.
• Dashboards protected from ad-hoc queries Workload management separating interactive from exploratory, so one does not starve the other.
• Maintenance that keeps performance stable Vacuum and statistics on a schedule, so performance holds steady.

Adding Redshift skills to your team.

Warehouse work sits with a dedicated data engineering team, with the physical design reviewed regularly.

Every Redshift specialist we assign works remotely inside your tools as a dedicated member of your team, with the management on our side. It is how companies hire remote developers without opening an offshore office of their own.