The phrase "The customer is always right" is ubiquitous in the business and retail world and one that companies should extend as a matter of course to refer to their employees. For IT teams, they are usually known as the "end user". It is a company’s employees who keep it running and when a network problem gets in the way not only is the end-user frustrated and annoyed, but productivity can quickly be driven to a halt.
One of the biggest challenges network managers face when liaising with the end-user is that user’s lack of understanding of the problem. To a user, their application is not working properly. So they call the Helpdesk. "Just get the technology to work, the sooner the better", the user requests (or demands). They probably have no idea just how complicated that fix might be, and no idea whether the problem is with the application or the network. However complex the problem may be, the end-user expects it to be fixed (relatively) quickly so they can continue with their job and the business can operate smoothly.
AANPM – the End-User Pacifier
If the problem affects multiple users, then the business begins to have a serious problem. If there’s a slowdown or shutdown of the network, or any kind of problem involving the applications running on it, the impact on the business can be huge and costly.
According to a recent Globalscape study, downtime can cost as much as $1 million per hour after accounting for all of the consequences of being offline for a period, and 76 percent of survey respondents referred to end user frustration.
The perfect solution clearly is to fix a problem before this stage. To do this, the network and application teams need complete visibility from the network through to the application to enable them to quickly identify root cause. AANPM (Application-Aware Network Performance Management) can do this by enabling teams to monitor all levels of the user experience and address issues before they become serious. It also provides continuous monitoring to support analysis of trends in the network and applications’ performance.
As AANPM provides end-to-end visibility of the entire IT infrastructure, a single-dashboard view covering both critical applications and the underlying network infrastructure problem-solving is made much faster. It enables engineers to identify problems with a key application and right away use that cross-platform visibility of AANPM to track down the root cause.
And what does this mean? A happy end-user.
Bruce Kosbab is CTO of Fluke Networks.
The Latest
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...
High-business-impact outages are costly, and a fast MTTx (mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR)) is crucial, with 62% of businesses reporting a loss of at least $1 million per hour of downtime ...
Organizations recognize the benefits of generative AI (GenAI) yet need help to implement the infrastructure necessary to deploy it, according to The Future of AI in IT Operations: Benefits and Challenges, a new report commissioned by ScienceLogic ...