Ensuring Performance and Availability in a Virtual Environment
April 04, 2017

Jerry Melnick
SIOS Technology

Share this

Optimizing and ensuring performance and availability in a virtual (VMware) environment is far more challenging than the orderly and disciplined environment of dedicated physical servers. In virtual environments VMs, applications, storage, network, and other IT services share IT resources and operate in direct relationship to one another. A new or moved workload, new VM, or any other change in one component can dramatically affect the performance of another. Problems that arise in one area can actually be symptoms of a problem rooted in another area altogether.

A classic example of this is the so-called "noisy neighbor" in which an issue in one VM, such as poor application performance, is actually caused by a different VM. Because of the large-scale, shared and dynamic nature of virtual environments, it can be difficult to understand and address even simple application and performance problems.

In a recent survey from SIOS Technology, more than half of the IT pros stated that they face application performance issues every month, and 44 percent indicated that it can take three hours or more to solve these problems. When these performance issues affect important business applications, they soon escalate to the top of the IT priority list, diverting valuable IT resources from far more productive activities.

IT teams that continue to struggle with finding the root causes of application performance issues with traditional threshold-based tools are wasting time and money. Instead, IT can recapture wasted time by using IT analytics tools capable of providing specific recommendations for solving issues, such as new machine learning based solutions.

IT staff can't afford to waste time by manually comparing results from multiple different tools to determine the status of their important applications and identify the causes of performance issues when they arise. IT personnel need to think about solutions that deliver more accurate, real-time insights into virtual environments, so they can keep the business humming and end users productive. Here are a few tips on how IT teams can avoid or resolve application performance issues quickly and easily:

Think Holistically About Your Infrastructure

In today's virtual environments, few issues are straightforward or confined to a single area of the infrastructure. According to a recent report, 78 percent of IT professionals are using multiple tools to identify the cause of application performance issues. The current strategy of relying on multiple tools and teams to evaluate each IT discipline or "silo" leaves IT with the manual, trial-and-error task of finding all the relevant data, assembling it and analyzing it to figure out what went wrong, what change may have caused the problem, and how best to fix it. IT needs to use IT analytics tools can look across the infrastructure siloes of application, network, storage, and VMs and allow you to take a holistic approach to finding the root causes of performance issues.

IT personnel don't have the time or resources to spend hours interpreting data or guessing at a solution. They need to be able to respond quickly to the real problem, or better yet, prevent the problem from occurring in the first place.

Predict and Avoid Problems Before They Happen

While fixing problems quickly is important, avoiding them in the first place is the real goal. Advanced machine learning and deep learning based analytics solutions are now able to actually predict potential performance problems before they happen and provide precise recommendations for avoiding them.

Replace Costly Over-Provisioning with Precise, Accurate Performance Optimization

Without an accurate and precise tool to identify the root causes of performance issues, many IT departments have resorted to costly over-provisioning. Simply throwing hardware at the problem may provide temporary performance improvements but rarely solves the problem permanently or provides the expected performance gains.

Few realize that new machine learning based IT analytics tools can provide a comprehensive analysis of their environment with recommendations for right-sizing it while maintaining (often improving) application performance. These tools provide a complete breakdown of current costs and performance compared with costs and performance gains that IT can realize with their recommended improvements.

With the right tools in place IT can waste less time sifting through alert storms and start focusing their energy on areas of the environment that are the root cause of their application performance issue.

Jerry Melnick is President and CEO of SIOS Technology.

Jerry Melnick is President and CEO of SIOS Technology
Share this

The Latest

September 17, 2020
One of the benefits of doing the <span style="font-style: italic;">EMA Radar Report: AIOps- A Guide for Investing in Innovation</span> was getting data from all 17 vendors on critical areas ranging from deployment and adoption challenges, to cost and pricing, to architectural and functionality insights across everything from heuristics, to automation, and data assimilation ...
September 16, 2020

When you consider that the average end-user interacts with at least 8 applications, then think about how important those applications are in the overall success of the business and how often the interface between the application and the hardware needs to be updated, it's a potential minefield for business operations. Any single update could explode in your face at any time ...

September 15, 2020

Despite the efforts in modernizing and building a robust infrastructure, IT teams routinely deal with the application, database, hardware, or software outages that can last from a few minutes to several days. These types of incidents can cause financial losses to businesses and damage its reputation ...

September 14, 2020

In Episode 7, Will Cappelli, Field CTO of Moogsoft and Former Gartner Research VP, joins the AI+ITOPS Podcast to discuss the future of APM, AIOps and Observability ...

September 11, 2020

Mark Thiele on the AI+ITOPS Podcast: "I believe AIOps will be everywhere, or you will be failing if you're attempting to do scale ..."

September 10, 2020

How is the AIOps market evolving? The answer in five words is: "Toward increasing levels of diversity." In the EMA Radar Report AIOps: A Guide for Investing in Innovation, EMA examined 17 vendors with cross-domain AIOps capabilities, along with doing 31 deployment interviews, and discovered a high degree of variety in design, functionality and purpose ...

September 09, 2020

In 2020, our society is undergoing massive upheaval and businesses are being forced to adapt on the fly. During this period of crisis, the companies that make the necessary adjustments the quickest will succeed. We're already seeing it happen in the accelerated push toward digitization, as companies that smoothly digitize their customer experiences move forward and those that don't get left behind ...

September 08, 2020

In Episode 6, Mark Thiele, Co-Founder and CEO of Edgevana, joins the AI+ITOPS Podcast to discuss taking AIOps to the edge ...

September 04, 2020

Bhanu Singh on the AI+ITOPS Podcast: "AIOps is an enabler for us to manage the complex digital world that we are stepping in at lightning speed ..."

September 03, 2020
Businesses — in order to remain competitive, agile, innovative, secure, and profitable — are embracing digital transformation. However, achieving success has often been a pipedream for many given the need to usher in cultural change and upgrade of the legacy systems. So, even when business leaders are in agreement with the need for embracing enterprise digital transformation, why is it that only a few have implemented it? What are the biggest barriers to a successful digital transformation initiative? Let us find out ...