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Challenges In Implementing And Generating Real Value From Splunk

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Splunk is an excellent tool for tracking and looking through large amounts of data.

Simply put, it facilitates the creation of alerts, reports, and visualizations that assist proactive monitoring, threat correction, and process improvements by indexing and correlating information created in an IT environment, making it searchable and easier to generate this information.

Splunk adoption, however, is difficult. To claim that only highly qualified technical professionals with years of practical experience can navigate Splunk is an understatement.

We have compiled the most common challenges in implementing Splunk, along with a solution that will help you get the most value out of Splunk.

What is Splunk?

The amount of data produced by machines has increased tremendously over the past ten years, and an unimaginable amount of data is produced daily. Splunk is a platform built on software that aids in managing this massive volume of data. 

It produces reports, charts, graphs, and other visual components that help us understand machine data.

Splunk maintains data that is unstructured and difficult to understand, as well as data that is irrelevant for analysis or visualization.

Challenges in implementing Splunk

Listed below are 5 common challenges that most organizations face when implementing Splunk into their ecosystem.

1. Data onboarding is overwhelming

Being unfamiliar with Splunk can be frightening. Finding your beginning point can be challenging when you’re given a platform that can do anything with your data. The relevant data must be onboarded in the proper manner when using a new platform like Splunk.

Purchasing vast amounts of untapped, unidentified dark data is one snare that businesses frequently fall into. According to Splunk’s ‘The State of Dark Data’ report, 60% of respondents stated that more than half of the data in their business is not recorded, and a large portion of it is not even known to exist.

Dark Data is really a matter of concern. When investing in a platform like Splunk, you want to make sure that your data is clean and effective. However, doing so can be challenging without professional assistance to help customers locate their missing data, clean up their existing data, and identify the best data sources to create a seamless Splunk engine.

2. Cost of licensing is high

Splunk environments are costly. The cost is directly correlated with the amount of data ingested, i.e., y our licensing costs increase as the volume of data increases.

Furthermore, building structured data pipelines and importing irrelevant data into the system is one of the most frequent problems users run into while installing Splunk. This results in higher license fees.

Teams frequently turn off Splunk for a few hours to get around license fees, but doing so compromises the infrastructure’s security.

3. Costly and complex to deal with large datasets 

Most organizations try to retain all of their data on flash or at least high-speed hard disc storage in order to guarantee sufficient search performance. Compared to cheaper options like high-capacity discs, both of these storage options are costly.

The architecture of the Splunk infrastructure is another less evident cost component. The majority of these designs are composed of a cluster of servers, where each server acts as a node. Every node has its own internal networking, computation, and storage.

Each node has extra processing power, storage space, and network bandwidth for times when more processing power is needed. The issue is that these resources are not utilized equally.

As a consequence, the Splunk cluster scales with unbalanced resource usage, severely underutilizing one of its most expensive resources, the CPU. Additionally, the cost of the networking infrastructure that supports it increases as more nodes are added.

It uses an increasing number of ports and switches, which raises the environmental cost even further.

The environment becomes more complex as a result of the quick expansion of nodes to meet capacity demands.

Because the data protection method uses an expanding capacity and stores protected copies on the same node and storage class as the original copy of the data, the cost of data protection is significantly increased too.

4. Data retention isn’t the best

In the Splunk context, data retention does come with substantial difficulty. Splunk still presents numerous challenges when it comes to navigating through and archiving the precise data you deem redundant, even though it is supported by a data retirement and archiving policy.

Additionally, there is an increasing requirement to tier storage with Splunk due to its expensive storage architecture.

Despite the fact that Splunk SmartStore may appear to be a fantastic retention choice, it isn’t always the best when it comes to routinely searching previous data. Despite the fact that your data is organized in your SmartStore, performance suffers significantly as a result of the necessity for refreshment.

Furthermore, with SmartStore installed, performing regular lookback searches requires a significant amount of time and work.

5. Users have limited control

Despite Splunk being a Data-to-Everything platform, customers still have limited access to and control over their data pipelines, which presents another significant barrier.

If observability data pipeline control isn’t built-in, you’ll need to buy a completely different solution to manage data volume and Splunk delivery.

6. It is difficult to master

Splunk is simple to use but challenging to master. The community forums and training sessions are both great resources for learning how to produce reports, dashboards, alerts, etc. 

Yet understanding such a wide variety of functions is difficult in and of itself because it is a highly customizable tool with many features and functionalities.

Even experienced professionals cannot pretend to know everything. You will surely have to invest a lot of time and money to obtain valuable resources.

Implement and generate real value from Splunk with BitsIO

BitsIO is a team of dedicated service providers who help you implement Splunk the right way and help you squeeze maximum value out of Splunk from day one.

Our Splunk experts will be there with you every step of the way, eliminating the challenge of confusing procedures with a mastery that has been honed over the years. 

Contact us to see how you can effortlessly implement Splunk services within your organization today!