No matter how valuable our wire data analytics platform is, it will not, by itself, provide comprehensive visibility into today's complex and hyper-dynamic IT environments. The time has come for organizations to embrace an intentional, architectural approach to IT Operations Analytics (ITOA). This means bringing together multiple sources of data to enable data-driven IT operations, and delivering consistent, high-quality results for maximum performance, availability, security, and business insight.
Analysts estimate that by 2017, 15% of enterprises will actively use ITOA solutions, up from just 5% in 2014. IT executives should plan an open architecture for their ITOA solution, which will minimize costs and ensure the best results for their organization.
Discover New Insights
An Open ITOA architecture is based on the principle of streaming different IT data sets - wire data, machine data, agent data, and synthetic data - into a scalable, non-proprietary data store for multi-dimensional analysis. The objective of an Open ITOA architecture is to enable the discovery of valuable new relationships and insights derived from these combined data sets. These discoveries drive improved and more efficient IT operations, prevent data lock-in to proprietary systems, and provide a roadmap for the cost-effective expansion of the analytics architecture.
By classifying data sets according to their source, you can select best-in-class technology on an objective basis. The goal is to put you in control of your ITOA platform by providing vendor choice and minimizing switching costs if you decide to replace any particular data source technology.
Benefits of Open ITOA
|Identify and resolve performance and security issues|
|Correlate transactions and events across every tier of the infrastructure|
|Intelligently plan IT investments and optimize infrastructure|
|Facilitate collaboration across various IT teams|
|Improve IT staff productivity and workflow efficiency|
|Reduce costs by rationalizing your IT operations management toolset|
|Provide line-of-business stakeholders with real-time insights|
Learn the differences between wire data, machine data, agent data, and synthetic data, and why you need a non-proprietary data store in which to combine these data sets. Download the Open ITOA white paper.