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IOPS vs. Throughput: Why Both Matter

Pure Storage

It’s a standard performance benchmark for solid-state drives, hard drives, flash drives, and network attached storage (NAS) devices. For example, HDDs are affordable for backup storage. Backup servers are mainly used for writes where users store their data but rarely need to retrieve it.

Benchmark 104
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Improve Open Source Database Operations with AWS Outposts by 4x

Pure Storage

To benchmark the performance of FlashArray, we compared it against AWS EBS. . In this blog post, we’ll dive into the benefits for databases (we used MySQL in our test) when using AWS Outposts with FlashArray. AWS Outposts with FlashArray Deployment Architecture . Increased read scale when using DirectMemory™ Cache.

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Consolidate Oracle Workloads with FlashArray//XL

Pure Storage

Using Oracle’s multi-tenant architecture, multiple non-CDB databases can be consolidated into a multitenant container database. . However, note that non-CDB architecture has been deprecated since Oracle Database 12c and desupported in Oracle Database 21c. Hardware consolidation can be done independently of software consolidation.

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Simplify Elastic Operations without Compromising Data Searchability Using FlashBlade

Pure Storage

The diagram below contrasts the traditional hot/warm node architecture based on direct-attached storage to the new hot/frozen disaggregated architecture. The first step is to configure a snapshot repository on S3 object storage , identical as if configuring a standard snapshot repository used for backup purposes.

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Run Kafka on Kubernetes at Scale with Portworx

Pure Storage

We’ve benchmarked Kafka write speeds at 5 million messages/sec on Flasharray. These include automated capacity management capabilities, data and application disaster recovery, application-aware high availability, migrations, and backup and restore. Kafka is extremely fast. This is where Portworx comes in.