An Introduction to Modernizing Your Splunk Environment

At Kinney Group, we believe the best way to solve the inefficiencies of traditional Splunk operations is to throw out the script and modernize the approach.

 

The traditional Splunk data center model is complex and difficult to scale for performance, requiring IT professionals to increase server counts and expand data center footprint to gain compute and storage capabilities. This outdated approach means expensive upgrade cycles, disruptive downtime, and increasingly complicated operation, all in an architecture fraught with performance “gotchas.”

 

We’ve found a better path forward.

 

Kinney Group and Pure Storage have teamed together to create a reference design that provides benefits, insights, and a technical overview of a high-performance, scalable, and resilient data center infrastructure for the Splunk Enterprise platform. This revolutionary reference design is comprised of a powerful combination of VMware virtualization, Pure Storage hardware, Splunk SmartStore, and Kinney Group engineering expertise.

 

Kinney Group and Pure Storage have teamed together to create a reference design that provides benefits, insights, and a technical overview of a high-performance, scalable, and resilient data center infrastructure for the Splunk Enterprise platform.

 

The end result is an elegant approach to hosting Splunk Enterprise that enables dramatic reductions in storage complexity and infrastructure footprint, with transformative performance improvements and a lower total cost of ownership.

Here’s a glimpse into the 3 Key Benefits of utilizing the reference design in modernizing your Splunk operations

Key Benefit #1: Unmatched Performance

The beauty of this reference design lies in the unmatched performance provided by combining PureStorage FlashBlade®, Splunk SmartStore®, and Kinney Group’s advanced Splunk configuration tuning in a virtualized environment.

By combining expert engineering, finetuned software solutions, and solid-state storage can provide a 4x performance improvement over Splunk’s own recommendations.

Key Benefit #2: Simplified Scaling

Accommodating scale is an ever-present struggle for IT teams and data center operators — providing sufficient infrastructure to facilitate more demanding requirements such as increasing compute, storage, and network needs.

Complexities introduced by Splunk’s specialized data ingest requirements only make the situation more challenging (not to mention costly). The 1-2 punch of VMWare virtualization and Pure Storage’s FlashBlade® technology allows for “grow in place” scaling that won’t require disruptive downtime, and makes scaling storage for compliance a breeze.

Key Benefit #3: Lower Cost of Ownership

The distributed data center model provides high availability by replicating data, but effectively eliminates any benefits gained from Splunk data compression by increasing storage requirements. Co-locating storage and compute means when you need more storage, you have to add both compute and storage. To further increase the total cost of ownership (TCO), Splunk indexers with a distributed scale-out architecture usually have more servers with less storage to minimize the amount of data and time associated with server maintenance and failures.

Saving on capital expenditures such as servers, storage, and square footage is just the beginning. Reductions in equipment and increases in productivity represent savings on OpEx that make this reference design the gift that keeps on giving.

 

Modernize Your Splunk Environment

We gave you a taste of the power backing the reference design model and how it can modernize your Splunk environment. Now, it’s time to download your copy and access the full document of information instantly. Within the reference design, we’ll dig deeper into the 3 Key Benefits of utilizing the reference design in modernizing your Splunk operations and dive into the technology supporting the findings. Download your copy of the white paper here.

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