IT Operations Analytics - Tapping a goldmine of data within IT
(Posted on behalf of Pranit Prakash)
Enterprise IT faces a continuous challenge to maximize availability of systems while optimizing the cost of operations. The need to maintain uptime while managing complex tiers of infrastructure force organizations to spend considerable amount of time and money in identifying the root cause of failures leading to downtime.
According to Gartner's top 10 critical technology predictions for 2013, "for every 25% increase in functionality of a system, there is a 100% increase in complexity."
On the other hand, IT operations generate massive amount of data every second of every day. As of 2012, about 2.5 exabytes of data was created every single day and this number is said to double every 40 months.
This data remains in mostly unstructured format in form of log files but can contain a wealth of information not only for Infrastructure and operations but in areas related to end-user experience, vendor performance and business capacity planning.
As organizations face increasing complexity in their IT operations, they are unable to decipher any patterns that could actually help them improve current operations. This is because existing toolsets are largely confined to silos and are unable to analyze and consolidate details - For example, there are toolsets for IT service management, application performance management etc. that do not talk to each other. The result is a mass of unstructured data that if analyzed in detail, could provide valuable actionable information.
And this is where IT Operations Analytics comes in.
IT Operations Analytics enables enterprise to collect, index, parse and harness data from any source as system logs, network traffic, monitoring tools and custom applications. These data points are churned through a set of smart algorithms to result in meaningful insights for IT operations leading real-time trending and proactive monitoring that ensures higher uptime and co-relation across data-sources.
But IT Operations Analytics is not same as traditional BI which deals with structured data only. The real capability of this exciting field lies in two factors -
a. Comprehensiveness to include any amount of data in any format from anywhere and
b. Capability to co-relate the data to provide centralized view at the finest detail
The possibilities of using analytics to gather actionable insights from configuration and transactional data are endless. In my next set of posts I will explore key use cases for operational analytics and how organizations can adopt this evolving technology trend to their advantage.
(Pranit is a Lead Consultant with Infosys with a rich experience in IT infrastructure and consulting services. He is a certified CISA, Certified DC professional(CDCP) and a qualified BSI ISO 27001 Lead auditor)