Survey of 400+ IT pros
In June 2018, Blue Medora partnered with the VMware User Group (VMUG) to survey more than 400 of the group’s members about the current and near-future state of monitoring integration in their environment.
Central to the research was an in-depth exploration of Dimensional Data (as defined on page 3). Specifically, the research looked to confirm if the increased access, data depth and context provided by a Dimensional Data stream positively impacted IT outcomes.
Dimensional data refers to a real-time metric stream provided by a monitoring integration as a service (MIaaS).
Nearly 9% of organizations currently have access to Dimensional Data across the majority of their integrations.
On average 43% of organizations without a specific dimension of data wish to adopt within the next 18 months.
Nearly 40% of the top performers in utilization and productivity gains had fully deployed dimensional data
Those who fully deployed Dimensional Data: 1 in 5 saw more than $1m/year savings, 1 in 2 saw more than $100k/year savings
Please estimate how many of your current monitoring integrations include the context you need to understand relationships between a specific endpoint technology and all other technologies in your stack. (Ex. application, database, VM, host and LUN)
Please estimate how many of your current monitoring integrations include synthetic metrics, known as super metrics. These calculated metrics combine multiple raw metrics to calculate rates or ratios that have more meaning. (Ex. average database execution time)
To measure how various monitoring integration strategies and Dimensional Data access may or may not impact IT results.
All VMUG members were invited to take the online survey via email. Participants were not compensated for their time.
410 respondents with IT responsibilities at organizations with 500+ employees.
Your monitoring integration strategy matters more than you might think
Most monitoring research focuses on the efficacy of monitoring platforms or analytics engines, but doesn’t spend a good deal of time looking at the data that goes into them. This research supports the idea that universal access to a Dimensional Data stream or other integration strategy that includes metric breadth, depth and context will likely have a positive impact on key business measures like IT productivity, utilization, cost savings and downtime.
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