{"id":2343,"date":"2014-04-07T13:42:51","date_gmt":"2014-04-07T13:42:51","guid":{"rendered":"http:\/\/blog.eginnovations.com\/?p=2343"},"modified":"2025-01-31T14:24:17","modified_gmt":"2025-01-31T19:24:17","slug":"a-brief-visual-overview-of-eg-innovations-enterprise","status":"publish","type":"post","link":"https:\/\/www.eginnovations.com\/blog\/a-brief-visual-overview-of-eg-innovations-enterprise\/","title":{"rendered":"A Brief Visual Overview of eG Enterprise"},"content":{"rendered":"
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Aspen Systems created\u00a0a nice writeup of the key capabilities and value of eG Innovations for performance monitoring of complex IT environments, and we would like to share it with you: \u00a0It\u2019s no secret that there are a lot of moving pieces in today\u2019s virtualized environments. This can bring a lot of benefits in terms of flexibility but also a lot of headaches when trying to determine the root cause of a failure, or an ongoing performance degradation issue, especially when many of these services may be sharing the same virtualization hardware.<\/p>\n

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Our environments today are a dynamic, moving target. Workloads can be spun up quickly to counter user demand and moved around dynamically based on load. Traditional SNMP-based monitoring systems<\/a> were created prior to these dynamic environments, and often focus on a single server, switch, or piece of hardware. With so many inter-dependencies and shared resources involved today, it can be a challenge to view the entire service stack, and find the root cause of a outage or performance problem. eG Innovations has a unique approach to viewing all these layers, and helping us pinpoint the cause for a poor End User Experience.<\/p>\n

eG Innovations has been doing a pretty good job of this over the years, so this is what we will be covering today in this edition of our \u201cBrief Visual Overview\u201d series.<\/p>\n

<\/span>Bringing \u201cIslands\u201d and \u201cSilos\u201d Together<\/span><\/h2>\n

\"Brief-visual-overview\"<\/p>\n

This scenario above is what we need to avoid. If this looks familiar to you, you\u2019re not alone. Troubleshooting this kind of situation can be a long painful journey of telephone tag, \u201cSneakerNet\u201d, and finger pointing. In a lot of cases, these silos will be monitored by different people and different monitoring systems if they are monitored at all. If we can get our arms around monitoring the highly dependent layers, then we\u2019ll be much further head of the game when troubleshooting, or proactively predicting problems.<\/p>\n

<\/span>Focusing on the Layers of Service<\/span><\/h2>\n

eG allows us to bring all the levels in the virtualization stack together, displaying the overall health of each one with their unique \u201cLayer View\u201d which can be seen below. Breaking things down in this manner allows us to easily hone in on the potential root cause of a performance issue. The health of all layers right from the physical hypervisor level right up the stack to inside the VM can easily been seen, and their status identified by color.<\/p>\n

\"xdx\"<\/p>\n

At a glance, we can see that there are two layers that seem to be experiencing some kind of warning,
one more critical than the other.<\/div>\n

<\/span>Key Products & Features<\/span><\/h2>\n