100’s of enterprises currently use RTView standalone performance monitors for their middleware-monitoring needs. In this webinar, we will show you 7 reasons you’ll want to extend your current RTView standalone product using the RTView® Enterprise Monitor™ framework. Middleware-monitoring is much more powerful when you have an End-to-End Monitoring view of your applications. You’ll be able to see how your middleware platforms are interacting with other application components and determine if performance degradation is being cause by outside factors, be able to detect deteriorating performance conditions before it impacts users and perform root cause analysis by viewing the state of historical key metrics leading up to a performance failure so that you can diagnose after the fact.
For more information on SL and RTView® Enterprise Monitor™, End-to-End Monitoring and Middleware Monitoring, please visit us at http://www.sl.com.
But first, let us introduce ourselves.
I’m David Hickman. Some of you might know me from my 10 years at TIBCO.
And I’m Glyn Edavane.
I want to tal about SL’s relationship with TIBCO for a moment.
We go back a long way with TIBCO and TIBCO is SL’s largest reseller.
We have a lot of experience working with more than 100 TIBCO customers to implement monitoring.
RTView Enterprise Monitor product is sold by SL, not by TIBCO.
Enterprise Monitor is an end-to-end monitoring platform that monitors a number of different technologies including all of these TIBCO technologies here.
RTView Enterprise Monitor product is sold by SL, not by TIBCO.
Enterprise Monitor is an end-to-end monitoring platform that monitors a number of different technologies including all of these TIBCO technologies here.
RTView Enterprise Monitor product is sold by SL, not by TIBCO.
Enterprise Monitor is an end-to-end monitoring platform that monitors a number of different technologies including all of these TIBCO technologies here.
Custom is important. We have our own IDE. Can develop in just a couple of weeks.
Because it maps to apps and services, RTView Enterprise Monitor can provide greater context to your standalone performance monitoring metrics
See all BW instances in standalone window. Zero in on just the instances supporting a particular app in distress. Talk about service model.
Your role defines your views – Provides focus,---- no longer having to deal with the distracting ‘noise’ of other apps, other environments…
RTView standalones help you manage a large middleware community, that’s true..but to be really effective you need to take a role-based approach – divide and conquer.
Additional benefit – reduce your workload and improve your response time….
RTView EM’s service model allows you to provide self-service functions to your Application owners/developers so that they can answer many of their own questions – leaving you free to concentrate on the more strategic issues facing administrators while improving your SLA performance at the same time.
Show alerts in standalone monitor and again in RTView Enterprise Monitor. Talk about criticality.
Improve alignment with Business priorities – know which problems need immediate response
RTView EM’s service model also provides the automated association of components to applications. This means that application-centric dashboards can identify the problems affecting high-visibilty , customer-facings apps so that these can get immediate attention – important when you are facing multiple alerts across multiple systems, all at the same time.
Avoid having to explain why you gave your attention to a Timecard Management queue while the Order Processing queue was left waiting. Don’t just take them in time order….
Show alerts in standalone monitor and again in RTView Enterprise Monitor. Talk about criticality.
Standalone warnings are at component level
Enterprise warnings or alerts can be at group level, etc….
OOCL managing to the green
an ounce of prevention is worth a pound of cure…..
Most monitoring systems can tell you when a pre-set threshold has been breached but RTView EM goes beyond that in terms of quality – it constantly monitors the stress placed on systems and subsystems as demand changes over time.
BY detecting bad behavior before it has critical impact on another, dependent, layer means you can often take a proactive approach to improving service reliability…Example - Increasing memory in a JVM before something breaks and a traditional alert is issued means that you have fixed a problem before your users were even aware that an issue existed.
Also, give yourself some headroom - Most monitoring systems can tell you when a pre-set threshold has been breached but RTView EM goes beyond that in terms of quality – it constantly monitors the stress placed on systems and subsystems as demand changes over time. You can determine which systems run ‘hot’ all the time, even though no alerts have been breached. You have the opportunity to move demand or resources across your environment so that you can ‘manage to the green’
Your processes do not run in isolation so you need context to understand what’s going on.
RTView EM provides screens and alerts built around a correlated view – we understand how an application depends on the health and stability of many different components = App and Database servers, EMS Queues, BW Processes, JVMS, and also – don’t forget – every message and every process is dependent upon the compute layer.
Not having a correlated view of all these related systems is like driving blind folded. Is the problem with queue depth a cause of a problem or the effect of another problem?
Context also needs the dimension of time. Many issues develop gradually and often the original cause can disappear before the resultant failure is evident. RTView EM’s ability to display the health state of all related components, over time, will show cause and effect so that you do not have to tell your users that “we will have to wait until it happens again so that we can track the cause”
Cause and effect can be detected by observing that the first indication of a problem is seen as CPU increases at the vm level leading to BW processes being starved of resources. Unable keep up with the flow of messages coming in from EMS, the pending message levels increase and application performance slows down. Problem is that all this takes time and without this contextual view, the CPU issue would have resolved itself before the admins were made aware of the problem and we would have had another case of ‘cause unknown”
On call frustration
Front-line support see’s all the resources used to support the problem app. Note that there are two problems and since Host resource =red and gets highest priority, drill down to gather more information
We are now able to get information about the resource – Name, location CPU/mem/network stats and are able pass this information, plus screen shots to the Unix support team.
Compare this to the information normally passed to Level 2 by Level 1 – far fewer on-call staff need be contacted at 2 in the morning…..
From these screens we can also navigate to the Alert Table views and also Alert History tables so that we can assess behavior over time and, perhaps, detect some patterns.
No more war rooms
Confidence coms from some detail – confusion comes from too much!!