XIOS 6.1 — Introduction to XtremIO Native Replication

Itzikr's Blog

Executive Summary

Critical business processes require data replication for various purposes such as data protection or production environment duplication for development, testing, analytics or operations.

Data replication over the wire requires many customers to compromise either on RPO (Recovery Point Objective) or bandwidth cost for transferring the high throughput generated by the applications. This is even more acute with AFA (All Flash Array) high throughput.

While there are several approaches for replication, they all fundamentally struggle with RPO, limited performance and complex operational processes, forcing customers to make tradeoffs between RPO and cost.

XtremIO leverages its unique content addressable storage, in-memory metadata and copy data management implementation to offer the most efficient solution by replicating unique data only. This unique implementation significantly reduces bandwidth and storage array utilization. Furthermore, XtremIO simplifies the replication management for all use cases.

As with all other XtremIO data services, all data protection operations, such…

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Pytrend. Quick demo of HPE 3PAR stats processing, time cuts and latency as a function of IOPS

In this short demo I am showing you that Pytrend now can process HPE 3PAR stats dumps and build various system level graphs, such as:

  1. IOPS over time (read/write/total)
  2. MB/sec over time (read/write/total)
  3. Latency over time (read/write/average)
  4. IO Size over time (read/write/average)
  5. CPU Utilization over time (system/user)

All above stats are directly parsed from dump into the graphs.

Though, there is another one, which I’ve added myself, because it is very useful to see how latency depends on IOPS, to see whether system resources (disks or controllers)are close to saturation.

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Pytrend Enhancement. Quick demo for IBM DS3000 and DS5000 series

In this little demo I show you two improvements for storage stats processing.

One of them is small enhancement of IBM DS3000/DS5000 series statistics. Originally, DS-series do not provide average IO Size in their service dump, so I have taught Pytrend to recognize bandwidth (KB/sec or MB/sec) and IOPS data to correctly calculate average IO size.

Another small enhancement for graphs now shows Average and 95-percentile for each plotted value. It is required in most situation for determining correct workload profile. This feature is available for all storage types.

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