From reactive to proactive IT management: ProactiveNet
Optimize application performance by learning and baselining application behavior; predicting problems before they occur; pinpointing root cause; and initiating standardized triage and resolution.
Internal Business users are dissatisfiedExternal customers are pissed off and churningThe operation is inefficient which is the #1 concern in today’s economy
Simple Service Models reduce the requirement for manual creation of detailed service models (CMDB) and complex rules to correlate eventsAutomatic relationship mapping between events and devices (screenshot illustrates the event to device relationships). This is one of the benefits of event analytics.Define simple groups via UI (in BPPM and BEIM)Leverage service models and service relationship information (if CMDB deployed) – CMDB is bi-directional and near-real-time synchronization nowLeverage virtual relationships between physical and virtual for probable cause analysis (if monitoring VMware with BPPM)Both simple (and detailed) service models can be leveraged along with time-based analytics for determining probable cause of events (in BEIM) and monitored data (in BPPM).
Integration with BladeLogic for more precise probable cause analysis OOB integration with BladeLogic(if deployed) for config change history verification onlyCustom Integration via AO for change verification and remediation workflows is possible via custom or PS work.Trigger Configuration Change Verification Workflow “out-of-the-box” (if deployed)Automated as part of probable cause analysisManual, on-demandDisplay change history for operator verificationTrigger ITIL Incident and Change Mgmt lifecycle processes (if deployed) as part of Problem Triage and Remediation Workflow AutomationVerifies change is compliant with policiesReverts changes if non-compliantGenerates change events when configuration changes are requiredUpdates change event status continuously
Key Points: Now that virtualization is more widely used AND in order to enable more virtualized applications in production – To truly know where performance problems are – you need to consistently correlate and analyze performance data collected across physical and virtual platforms.BMC ProactiveNet Performance Management consistently monitors and analyzes performance of your virtual applications, including transactions and their supporting IT infrastructure – all within a single solution. By improving the predictive accuracy of your combined virtual and physical infrastructure, you can increase your lead time ,and thereby resolve potential problems before users are impacted.What you see here is a “mixed” Tree view that combines both physical and logical views with drill-down capabilities. Physical and Virtual only views are also available. You can quickly see where a problem resides.Talking PointsBy learning and keeping track of motions while also retaining baselines -- BMC ProactiveNet Performance Management ensures that every event has probable cause data (there are no gaps in probable cause data and detailed diagnostics) and it eliminates pointless events when motions occur, that have no impact on actual performance or availability. Dynamically discovered virtual relationships and automatically captured detailed diagnostics are leveraged for more accurate probable cause analysis – augmenting service relationships in the CMDB (if available and deployed) Alerts are automatically generated on motions – and are correlated with performance alerts so that operators are made aware of motions when evaluating the probable cause of performance issues.Additional DetailsInformation shown in this slide comes from the native VMware adapterWhich is collecting any number of metrics , from the VMware Virtual Center Server – or the ESX HostThe adapter supports dynamic failover for vCenter and ESX hosts, so if vCenter is unavailable, BPPM can still collect data directly from the ESX hosts.BPPM natively supports VMware (vCenter, ESX, ESXi)BPPM via BPM for Virtual Servers and BPM for Serverssupports Microsoft Hyper-V, VMware (vCenter,ESX, ESXi), AIX LPAR/WPAR, Solaris Zones/Containers and Logical Domains, and HP UX nPar/vPar/VM Host/VM Guest, Citrix XenServer (new in BPPM 8.x in December)
While all the major vendors have APM solutions for the Operations center, none do it as well as BMC. There are 5 key ways our solution is superior to any others in the marketplace, and the reason we’ve been able to deliver value. Gain 100% Visibility. Eliminates “blind spots” by accurately filtering data based on defined policies to ensure you have all the information you need — without overloading you with unnecessary noisePerform Forensic Analysis. Automatically collects, organizes, and analyzes all end-user experience data and presents all relevant data in a meaningful and easy-to-consume format to enable rapid problem detection and isolationMonitor End-User Behavior. Ties userbehavior (i.e. conversion/ abandonment rates, number of pages seen, time-on-page, completed/abandoned transactions, etc.) to application performance and a detailed record of the problems that occurred during each customer visit for real-time business and user impact analysisDeliver Broadest Coverage for Enterprise, SaaS and Cloud apps. Manage apps from the end user to middleware to mainframe to cloud – across multiple vendors and platforms – enterprise, SaaS and cloudSingle, integrated solution for IT and App Operations Superior time to valueSingle data collection strategy, single admin console, single role-based operator console - No swivel chair mgmtIntegrated products and processes drive PreventativeAutomation) – including driving capacity optimizations, automated repairs,…Comprehensive (broad & deep & lightweight) data collection (correlate infrastructure and apps, does not place undue burden on the system and eliminates manual steps, appropriate deep dive diag are collected and then turned off, self-configuring)Time to valueEasy to setup, delivering quick results.
Newly added to the Customer Connect program: Jeppesen, EDF & Quest DiagnosticsOther customers/Goals:Fujitsu: Goal is to redeploy 2 FTEs to more productive work from event isolation (eliminate false positive events currently at 86% to under 10%)