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Speed Trino Queries With These Performance-Tuning Tips

DZone

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. In this article, we will show you how to tune Trino by helping you identify performance bottlenecks and provide tuning tips that you can practice. But how do we do that?

Tuning 162
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Notes on tuning postgres for cpu and memory benchmarking

n0derunner

Recently I wanted to measure the impact of NUMA placement and Hugepages on the performance of postgres running in a VM on a Nutanix node. To do this I needed to drive postgres to do real transactions but have very little jitter/noise from the filesystem and storage.

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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 209
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Storage Strategies for PostgreSQL on Kubernetes

Percona

There are a wealth of options on how you can approach storage configuration in Percona Operator for PostgreSQL , and in this blog post, we review various storage strategies — from basics to more sophisticated use cases. For example, you can choose the public cloud storage type – gp3, io2, etc, or set file system.

Storage 109
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? Experiencing database performance issues?

Tuning 52
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Firstly, developers struggled to reason about consistency, durability and performance in this complex global deployment across multiple stores. This flexibility allows our Data Platform to route different use cases to the most suitable storage system based on performance, durability, and consistency needs.

Latency 248
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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Flexible Storage : The service is designed to integrate with various storage backends, including Apache Cassandra and Elasticsearch , allowing Netflix to customize storage solutions based on specific use case requirements. DistinctAggregation) , this endpoint performs the given aggregation within a given time interval.

Latency 236