Pretoria, 16 Feb 2017
A pilot flying a commercial airliner relies extensively on telemetry and instrumentation to guide his airplane safely from point A to point B, no matter what the weather might throw at him. It is especially during these times of zero visibility that the access and availability of information proves to be vital in landing the airplane safely.
Running enterprise storage workloads today can be compared to a pilot trying to land an airplane in zero visibility without having access to any telemetry and instrumentation. The end result will always be disastrous.
Just like the pilot that successfully lands his airplane in zero-visibility relies on telemetry and other relevant data, Nimble Storage provides comprehensive analytical information and telemetry to provide customers with predictive information and deep analytics to guide them on their journey to reach their defined operational and strategic goals.
Nimble Storage has analysed more than 120 000 instances of real-world application problems across a range of IT infrastructures across more than 7 500 customers. Its predictive analytics platform shows that the application-data gap is real. Applications power your business and depend on rapid, uninterrupted access to data. Disrupted data delivery makes business wait, creating the "App-Data Gap".
"Storage is normally the first suspect when identifying the causes of the App-Data Gap, but the facts tell a different story."
Initially the storage industry responded to this App-Data gap by throwing SSD drives at the problem. It did resolve certain issues that were introduced by disk spindles, but in reality, only 46% of all issues were related to storage actually being responsible for the problems (including hardware and software issues as well as the occasional performance issues).
Nimble Storage's analytics platform has identified that 54% of all issues encountered had nothing to do with storage at all - identifying issues such as configuration problems, interoperability issues and not following best practices contributed the most to this problem.
Specific issues responsible for problems are:
* Storage Related: 46%
* Configuration Issues: 26%
* Interoperability Issues: 11%
* Non-Storage best practices: 8%
* Host, compute, VM: 7%
So, flash alone is clearly not enough - infrastructure complexity makes it difficult to pinpoint the real problem, resulting in:
* Extended downtime and frustration;
* Inefficient use of IT resources and budget; and
* Long hours spent resolving cross-vendor issue.
And upgrading storage hardware wouldn't solve 54% of the application issues!
So, isn't it time to close the App-Data Gap!
"Predictive Analytics based on machine learning boosts application performance and eliminates downtime by closing the App-Data Gap"
A predictive analytics platform is key to:
* Identify issues early and before users;
* Minimise user disruption;
* Eliminate repetitive issues; and
* Continually improve performance.
In closing, when you are considering new technologies to evaluate storage solutions, look for the following seven key capabilities:
* Downtime prediction;
* Automatic downtime prevention;
* Prescriptive resolution;
* Rapid root-cause analysis;
* Cross-stack analytics of applications;
* Analytics-driven technical support; and
* Measured availability metrics.
Just like airlines of today rely on analytics, telemetry and the visibility of this information to land thousands of planes safely each day, isn't it time that you apply the same wisdom and insight to your IT technology stack to guide you home each day?
Contact Ubuntu Technologies to see how we can assist you to close the App-Data Gap.
Email: Mark@ubuntusa.co.za
Tel: (012) 347 7944
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