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Also, BPM works hand in hand with IT and business service management from an operational perspective, such that service delivery can be monitored and supported appropriately post-deployment.
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Start-up SevOne Tuesday introduced its network- and application-performance management technology that’s aimed at giving network managers a less costly, easier-to-install alternative to legacy products.
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Intelligent system-management solutions now employ sophisticated correlation algorithms to sample subsets of metric data and deliver accurate information about potential system behavior.
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cloud computing moves resp for infra mgmnt to the service provider, it doesn’t necessarily reduce overall complexity of the system process. In fact, it may increase total processing complexity as the process must navigate through the cloud services.
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s the downtime with Amazon’s storefront demonstrates, that’s a false hope. If you rely on computing services anywhere, you need to monitor them, and you need to understand how their availability affects your operations.
** AMEN! **
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The next big frontier is the ability to transform huge amounts of data into actionable business intelligence that correlates across platforms.
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Their networks and organizations are generally growing more complex, they have lots of applications and users, yet they routinely lack tools and are short of the manpower needed to manage application performance in an exemplary way.
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CA IT Process Manager* is a new product that strengthens CA’s Data Center Automation solutions by automating IT processes across the data center
Let us see if we can find the five leading reasons (maybe more, maybe less) for why we need a proactive or predictive solution these days.
#1: I don’t have effective change control in place that spans into and incorporates the monitoring that I do on end point systems, applications and services.
#2: My boss wants me to “do more with less” so I need to figure out a way to clean up the mess I have today in my resource monitoring and event management solution.
#3: I know that when this thingy begins to slow down and that thingy drops packets that my transactions begin to fail. Now how do I write that policy to correlate all my thingys?
#4: My tool is better than your tool. I need to figure out a way to make you believe that your tool is always wrong so you’ll work my trouble ticket.
#5: My manager told us that we need to become more proactive. I sent the dba an email to tell him that we were going to have an outage to this database in three hours. He’d already gone home for the day.
These are tongue in cheek, but the underlying themes of each one are very valid in nearly all operations and application support groups. Why are we interested in predictive and proactive tools when we probably don’t have our own house in order in the first place?
How would you write the business justification and capital purchase plan to explain why you need them? How will you quantify your reasoning? Are you willing to give up one or more FTEs to purchase this solution? Have you had an honest look into the far reaching corners of your organization to see where the real root causes may be that spark your interest in these solutions? Are you ‘really’ ready to try and be proactive or predictive? Are you ‘really’ doing reactive well? What does predictive and proactive really mean to you? How would you describe the core capabilities such a solution should have? How would you associate expected value and ROI from having those capabilities? Where should we be looking elsewhere for help in these areas (BI, operational BI, BPM, BAM, analytic databases, statistical modeling and forecasting, etc.)
Please share your thoughts and ideas on why proactive and predictive solutions are of interest these days.