Some of todays tools observe and understand the normal behavior of an application, and, over time, learn the problem profiles that have led to performance and delivery problems in the past. These tools not only anticipate problems, but some can take automated action to avoid them, as well. This is, of course, the Holy Grail of application managers, and many IT organizations would be content even to be able to do this manually. However, todays applications drive such high transaction through-put; are so mission-critical; revenue-intensive; and complex that automated tools can actually manage them much more efficiently than highly-skilled personnel. People just arent fast enough to correlate information from multiple sources in the same way that automation can.
Recently, IBM announced the introduction of predictive analytics across the Tivoli stack, including base lining, dynamic thresholding, predictive alerting and automated actions. BMCs ProactiveNet Analytics solution has similar capabilities, and products from ASG, CA Wily, Aternity, Symphoniq, HP, Nastel, Integrien, and OpNet have predictive capabilities, as well. Such products could go a long way towards reducing the gap between proactive and reactive IT, as well as in reducing the diagnostic and remediation backlogs of overburdened support personnel.
OpTier introduced an interesting variation on this theme with its CoreFirst 3.0 announcement earlier this Fall. While the product has done predictive alerting and remediation for some time, CoreFirst 3.0 introduced predictive analysis of changes to the IT infrastructure. In other words, the product predicts the effect of a change on a transaction service level agreement (SLA), notifying IT personnel whether a given change had a positive or negative effect on the business service. Since between 25% and 75% of infrastructure changes drive application-related problems (depending on the maturity level of IT change processes), this capability can potentially eliminate a hefty portion of ITs support load.
Interest in configuration management and its close cousin, application discovery and dependency mapping (ADM) continues to rise. To that end, Tideway made some interesting announcements recently. In addition to discovering and mapping business applications on the fly, as they execute across diverse infrastructure, Tideway now offers hardware reference datainformation on the rack space consumption, heat output and power consumption of discovered assets. This information can be used to compute an applications overall carbon footprint, helping to automate data center rationalization and cost optimization assessments.
At the same time, Tideway introduced a Dynamic Discovery Extension that adds exploration and documentation of relational database management systems utilizationdata utilization and interactionsto application maps. Both configuration management and ADM solutions simplify the process of diagnosing run-time problems. Such products will gain momentum over the next few years.
The challenges of the new year will likely separate the wheat from the chaff, as far as strong and weak companies are concerned. A key element of a companys strength lies in its ability to effectively strategize and execute through lean times. Hard times shouldnt mean that companies tread water in anticipation of better times to come. Instead, smart investments can drive significant efficiencies, and investments in todays smart management solutions will do just that.
Julie Craig is a senior analyst with Boulder, Colo.-based Enterprise Management Associates (www.enterprisemanagement.com), an industry research firm focused on IT management. Julie can reached at email@example.com