September 21, 2021
We are living in an age of explosive data growth. IDC projects that data doubles every 2 years, and IT data is not immune to this trend. With this growth come other imperatives:
Fortunately, Cribl Stream makes it easier to stay ahead of the curve. Historically, many customers combine the analysis tier (e.g., Splunk, ElasticSearch, Kafka, HDFS) with the storage tier (system of record). However, the increasing costs and complexity of those environments prompt many businesses to explore other options to reduce the cost of analysis while maintaining the full fidelity of the captured events. Enter Stream!
This blog walks through how the Stream ROI calculator shows how you can get longer data retention without added ingestion costs. In addition, we will analyze the total cost of ownership (TCO), covering both capital and operational expenses. This blog will also look at the opportunity costs of not leveraging inline data reshaping and enrichment. Finally, we will demonstrate the validity of the analysis with a real-world case study of a 5TB/day customer.
When Cribl engages with a customer in a discussion around ROI and TCO, a list of common questions emerges. Here they are:
Stream is designed to cover multiple use cases. The top use cases tend to be searchable data reduction and archival data reduction; however, many customers have other pain points and find Stream to be instrumental in addressing their needs. Here is a visual flow diagram that can help you choose how to solve some of your challenges.
To have a defensible ROI calculation, we need the following data points collected:
Cribl developed a comprehensive spreadsheet designed to be defensible and understandable to budget holders. Being both defensible and understandable means we have to gather as many details as possible about the existing cost of the current environment. Then, we apply the estimated Stream license cost (plus hardware implementation cost). Next, we apply the estimated reduction percentage against a 1-, 2-, or 3-year growth forecast.
The final output will measure the Return on Investment (ROI) and new Total Cost of Ownership (TCO) with a great degree of accuracy. In addition, the calculator can intelligently estimate your Splunk hardware and storage requirements based on your retention policies and type of “major” Splunk apps installed.
The diagram below shows the major cost categories we need to capture.
This is an example of a real-world calculation from a customer with the following data points:
The following table reflects the TCO for the life cycle of Splunk (3 years). First, we show the percentage of cost reduction we achieved and then calculate the new TCO per cost category.
Finally, we calculate the ROI in percentage and ratio. The Year 1 ROI is 299% for this customer, with a ratio of $4 gained for every $1 spent on Stream.
Did I say finally? I lied. We also will produce some graphs that communicate the value of Stream. Here are some examples. This graph shows the cost of Stream (excluding implementation, which is captured in the table above) vs. savings.
This graph shows major categories of cost reductions, in dollars:
After examining the TCO of your current analysis system and seeing the benefits achieved in a real-world case study, it will be easy to understand why Stream is quickly becoming the fastest and hottest technology for volume reduction and events streaming. Furthermore, it will be clear that when you track all costs associated with your current logging solution, purchasing Cribl Stream becomes a no-brainer.
And even with costs aside, whether in an on-premises or cloud-based deployment, there are side benefits to Stream that are sometimes very difficult to calculate ROI for. These include:
If you’re running any of the major logging solutions today, it makes a lot of sense to evaluate Stream as your inline event processing engine. If you want to try Stream right now, launch our Sandbox to use the full version with ready-made data.
The fastest way to get started with Cribl Stream is to sign-up at Cribl.Cloud. You can process up to 1 TB of throughput per day at no cost. Sign-up and start using Stream within a few minutes.