Increase Operational Efficiency with the Dell EMC PowerFlex App for Splunk
Thu, 14 Oct 2021 12:54:01 -0000
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In modern IT, admins struggle to manage and analyze enormous amounts of machine-generated data in order to understand its patterns and make important decisions. The Splunk Platform enables apps that can analyze and derive insights from data generated by disparate infrastructure layers, such as compute, storage, and network. The platform helps admins manage, visualize, analyze, and understand the various patterns efficiently and effectively to make the right decisions.
The Dell DMC PowerFlex software-defined platform is often used as an infrastructure foundation supporting multiple heterogeneous and SLA-sensitive workloads due to its scale-out nature and its ability to host workloads on a variety of hypervisors, containers, and bare metal platforms.
To support Splunk workloads, Dell Technologies offers the Dell EMC PowerFlex App for Splunk, integrating the PowerFlex environment with Splunk Enterprise. As a source for a vast amount of telemetry, the PowerFlex App for Splunk is a great tool for visualizing, monitoring, and capturing various PowerFlex storage metrics. It empowers the IT organizations to harness the power of data to improve IT outcomes by simplifying the storage management and operations.
Benefits to organizations
This app provides various benefits to organizations:
- Greater operational and storage efficiency
- Deeper storage environment insights
- Future capacity predictions
- Monitoring multiple storage environments from a single window
- Enhancing decision making capabilities based on historical trends
Key capabilities of the PowerFlex App for Splunk
Real-time visibility
24 out-of-the-box intuitive dashboards to visualize PowerFlex metrics in real-time. These metrics are logically grouped and presented in different dashboards.
Historical data
Historical data plays an important role in decision making. Taking decisive action before any event becomes a reality requires understanding the pattern over time. .
Health of the system
The app captures real time alerts at different levels, and they are categorized by severity.
Storage projection
This is one of the coolest features: using the native Splunk environment capabilities to forecast the future storage requirements based on the current usage.
Some sample dashboards
Overview Dashboard: Provides a summary of clusters and associated high level metrics, with navigation capabilities.
Replication Overview Dashboard: Provides a summary of Replication clusters and associated high level metrics.
Storage Forecasting Dashboard: Provides the details of future storage requirements depending upon the current storage utilization.
Historical Data Dashboard: Provides the historical performance data for the specified time intervals.
Related resources
PowerFlex App for Splunk infographic
Video: Dell EMC PowerFlex App for Splunk
Where to find Dell EMC PowerFlex App for Splunk
For those who are new to Splunk, you can get this app from http://splunkbase.splunk.com. This app comes in two parts:
- The Dell EMC PowerFlex App is available here https://splunkbase.splunk.com/app/5528/ and provides all the beautiful and awesome visualizations.
- The Add-on is available here https://splunkbase.splunk.com/app/5529/. This helps to configure the Gateways and to define the Instance End Points to make REST API calls.
Thanks for reading!
Author: Nataraj Naikar
Related Blog Posts
Understanding ‘Total inlined data savings’ When Using ’isi_cstats’
Thu, 12 May 2022 14:22:45 -0000
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Recently a customer contacted us to tell us that he thought that there was an error in the output of the OneFS CLI command ‘isi_cstats’. Starting with OneFS 9.3, the ‘isi_cstats’ command includes the accounted number of inlined files within /ifs. It also contains a statistic called “Total inlined data savings”.
This customer expected that the ‘Total inlined data savings’ number was simply ‘Total inlined files’ multiplied by 8KB. The reason he thought this number was wrong was that this number does not consider the protection level.
In OneFS, for the 2d:1n protection level, each file smaller than 128KB is stored as 3X mirrors. Take the screenshot below as an example.
If we do some calculation here,
379,948,336 * 8KB = 3,039,586,688KiB = 2898.78GiB
we can see that the 2,899GiB from the command output is calculated as one block per inlined file. So, in our example, the customer would think that ‘Total inlined data savings’ should report 2898.78 GiB * 3, because of the 2d:1n protection level.
Well, this statistic is not the actual savings, it is really the logical on-disk cost for all inlined files. We can't accurately report the physical savings because it depends on the non-inlined protection overhead, which can vary. For example:
- If the protection level is 2d:1n, without the data inlining in 8KB inode feature, each of the inlined files would cost 8KB * 3.
- If the protection level is 3d:1n1d, it will become 8KB * 4.
One more thing to consider, if a file is smaller than 8KB after compression, it will be inlined into an inode as well. Therefore, this statistic doesn't represent logical savings either, because it doesn't take compression into account. To report the logical savings, total logical size for all inlined files should be tracked.
To avoid any confusion, we plan to rename this statistic to “Total inline data” in the next version of OneFS. We also plan to show more useful information about total logical data of inlined files, in addition to “Total inline data”.
For more information about the reporting of data reduction features, see the white paper PowerScale OneFS: Data Reduction and Storage Efficiency on the Info Hub.
Author: Yunlong Zhang, Principal Engineering Technologist
OneFS Data Reduction and Efficiency Reporting
Wed, 04 May 2022 14:36:26 -0000
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Among the objectives of OneFS reduction and efficiency reporting is to provide ‘industry standard’ statistics, allowing easier comprehension of cluster efficiency. It’s an ongoing process, and prior to OneFS 9.2 there was limited tracking of certain filesystem statistics – particularly application physical and filesystem logical – which meant that data reduction and storage efficiency ratios had to be estimated. This is no longer the case, and OneFS 9.2 and later provides accurate data reduction and efficiency metrics at a per-file, quota, and cluster-wide granularity.
The following table provides descriptions for the various OneFS reporting metrics, while also attempting to rationalize their naming conventions with other general industry terminology:
OneFS Metric | Also Known As | Description |
Protected logical | Application logical | Data size including sparse data, zero block eliminated data, and CloudPools data stubbed to a cloud tier. |
Logical data | Effective
Filesystem logical | Data size excluding protection overhead and sparse data, and including data efficiency savings (compression and deduplication). |
Zero-removal saved |
| Capacity savings from zero removal. |
Dedupe saved |
| Capacity savings from deduplication. |
Compression saved |
| Capacity savings from in-line compression. |
Preprotected physical | Usable
Application physical | Data size excluding protection overhead and including storage efficiency savings. |
Protection overhead |
| Size of erasure coding used to protect data. |
Protected physical | Raw
Filesystem physical | Total footprint of data including protection overhead FEC erasure coding) and excluding data efficiency savings (compression and deduplication). |
Dedupe ratio |
| Deduplication ratio. Will be displayed as 1.0:1 if there are no deduplicated blocks on the cluster. |
Compression ratio |
| Usable reduction ratio from compression, calculated by dividing ‘logical data’ by ‘preprotected physical’ and expressed as x:1. |
Inlined data ratio |
| Efficiency ratio from storing small files’ data within their inodes, thereby not requiring any data or protection blocks for their storage. |
Data reduction ratio | Effective to Usable | Usable efficiency ratio from compression and deduplication. Will display the same value as the compression ratio if there is no deduplication on the cluster. |
Efficiency ratio | Effective to Raw | Overall raw efficiency ratio expressed as x:1 |
So let’s take these metrics and look at what they represent and how they’re calculated.
- Application logical, or protected logical, is the application data that can be written to the cluster, irrespective of where it’s stored.
- Removing the sparse data from application logical results in filesystem logical, also known simply as logical data or effective. This can be data that was always sparse, was zero block eliminated, or data that has been tiered off-cluster by means of CloudPools, and so on.
(Note that filesystem logical was not accurately tracked in releases prior to OneFS 9.2, so metrics prior to this were somewhat estimated.)
- Next, data reduction techniques such as compression and deduplication further reduce filesystem logical to application physical, or pre-protected physical. This is the physical size of the application data residing on the filesystem drives, and does not include metadata, protection overhead, or data moved to the cloud.
- Filesystem physical is application physical with data protection overhead added – including inode, mirroring, and FEC blocks. Filesystem physical is also referred to as protected physical.
- The data reduction ratio is the amount that’s been reduced from the filesystem logical down to the application physical.
- Finally, the storage efficiency ratio is the filesystem logical divided by the filesystem physical.
With the enhanced data reduction reporting in OneFS 9.2 and later, the actual statistics themselves are largely the same, just calculated more accurately.
The storage efficiency data was available in releases prior to OneFS 9.2, albeit somewhat estimated, but the data reduction metrics were introduced with OneFS 9.2.
The following tools are available to query these reduction and efficiency metrics at file, quota, and cluster-wide granularity:
Realm | OneFS Command | OneFS Platform API |
File | isi get -D | |
Quota | isi quota list -v | 12/quota/quotas |
Cluster-wide | isi statistics data-reduction | 1/statistics/current?key=cluster.data.reduce.* |
Detailed Cluster-wide | isi_cstats | 1/statistics/current?key=cluster.cstats.* |
Note that the ‘isi_cstats’ CLI command provides some additional, behind-the-scenes details. The interface goes through platform API to fetch these stats.
The ‘isi statistics data-reduction’ CLI command is the most comprehensive of the data reduction reporting CLI utilities. For example:
# isi statistics data-reduction Recent Writes Cluster Data Reduction (5 mins) --------------------- ------------- ---------------------- Logical data 6.18M 6.02T Zero-removal saved 0 - Deduplication saved 56.00k 3.65T Compression saved 4.16M 1.96G Preprotected physical 1.96M 2.37T Protection overhead 5.86M 910.76G Protected physical 7.82M 3.40T Zero removal ratio 1.00 : 1 - Deduplication ratio 1.01 : 1 2.54 : 1 Compression ratio 3.12 : 1 1.02 : 1 Data reduction ratio 3.15 : 1 2.54 : 1 Inlined data ratio 1.04 : 1 1.00 : 1 Efficiency ratio 0.79 : 1 1.77 : 1
The ‘recent writes’ data in the first column provides precise statistics for the five-minute period prior to running the command. By contrast, the ‘cluster data reduction’ metrics in the second column are slightly less real-time but reflect the overall data and efficiencies across the cluster. Be aware that, in OneFS 9.1 and earlier, the right-hand column metrics are designated by the ‘Est’ prefix, denoting an estimated value. However, in OneFS 9.2 and later, the ‘logical data’ and ‘preprotected physical’ metrics are tracked and reported accurately, rather than estimated.
The ratio data in each column is calculated from the values above it. For instance, to calculate the data reduction ratio, the ‘logical data’ (effective) is divided by the ‘preprotected physical’ (usable) value. From the output above, this would be:
6.02 / 2.37 = 1.76 Or a Data Reduction ratio of 2.54:1
Similarly, the ‘efficiency ratio’ is calculated by dividing the ‘logical data’ (effective) by the ‘protected physical’ (raw) value. From the output above, this yields:
6.02 / 3.40 = 0.97 Or an Efficiency ratio of 1.77:1
OneFS SmartQuotas reports the capacity saving from in-line data reduction as a storage efficiency ratio. SmartQuotas reports efficiency as a ratio across the desired data set as specified in the quota path field. The efficiency ratio is for the full quota directory and its contents, including any overhead, and reflects the net efficiency of compression and deduplication. On a cluster with licensed and configured SmartQuotas, this efficiency ratio can be easily viewed from the WebUI by navigating to File System > SmartQuotas > Quotas and Usage. In OneFS 9.2 and later, in addition to the storage efficiency ratio, the data reduction ratio is also displayed.
Similarly, the same data can be accessed from the OneFS command line by using the ‘isi quota quotas list’ CLI command. For example:
# isi quota quotas list Type AppliesTo Path Snap Hard Soft Adv Used Reduction Efficiency ---------------------------------------------------------------------------- directory DEFAULT /ifs No - - - 6.02T 2.54 : 1 1.77 : 1 ----------------------------------------------------------------------------
Total: 1
More detail, including both the physical (raw) and logical (effective) data capacities, is also available by using the ‘isi quota quotas view <path> <type>’ CLI command. For example:
# isi quota quotas view /ifs directory Path: /ifs Type: directory Snapshots: No Enforced: No Container: No Linked: No Usage Files: 5759676 Physical(With Overhead): 6.93T FSPhysical(Deduplicated): 3.41T FSLogical(W/O Overhead): 6.02T AppLogical(ApparentSize): 6.01T ShadowLogical: - PhysicalData: 2.01T Protection: 781.34G Reduction(Logical/Data): 2.54 : 1 Efficiency(Logical/Physical): 1.77 : 1
To configure SmartQuotas for in-line data efficiency reporting, create a directory quota at the top-level file system directory of interest, for example /ifs. Creating and configuring a directory quota is a simple procedure and can be performed from the WebUI by navigating to File System > SmartQuotas > Quotas and Usage and selecting Create a Quota. In the Create a quota dialog, set the Quota type to ‘Directory quota’, add the preferred top-level path to report on, select ’Application logical size’ for Quota Accounting, and set the Quota Limits to ‘Track storage without specifying a storage limit’. Finally, click the ‘Create Quota’ button to confirm the configuration and activate the new directory quota.
The efficiency ratio is a single, current-in time efficiency metric that is calculated per quota directory and includes the sum of in-line compression, zero block removal, in-line dedupe, and SmartDedupe. This is in contrast to a history of stats over time, as reported in the ‘isi statistics data-reduction’ CLI command output, described above. As such, the efficiency ratio for the entire quota directory will reflect what is actually there.
Author: Nick Trimbee