You know your MSP company has an edge over your competitors when they take proactive measures to test how fast applications load. It is difficult for any business to tolerate downtime or slow-loading applications in this age of high-velocity data transfer. Ignoring delays can mean significant losses in productivity and revenue. Here is a closer look at this problem.
Competing for IoT Credibility
The Internet of Things (IoT) has become a major focal point in the current era of technology. Pressure is building up in various industries for seamless, fast-paced data delivery. It is now getting to the point where many businesses and customers expect data in real-time. The irony is that as more data passes through big networks and cyberspace, delays are becoming more common, particularly when it comes to refreshing data.
When a gap occurs between the application and data delivery speed, it is called “app-data gap,” which amounts to business disruption. Nearly half of these interruptions involve the storage layer at the bottom of the infrastructure stack.
However, most problems include with the rest of the stack, such as:
- Incompatibility issues
- Failing to comply with best practices
- Insufficient resources
To be a reliable IoT player, you need applications to have predictably strong performance. That means it is important for an MSP company to regularly test hardware and software to ensure your client’s system runs smoothly. Your IT team needs to be aware of the app-data gap and fix even short delays. Many businesses lose ten minutes to nearly an hour of work time each day due to application slowdowns.
Consequences of App-Data Gap Software developers and IT experts tend to be more aware of app-data gaps than business managers or employees. When businesses become cognizant of delays, one of the most common reactions is to avoid the software. It is easier for cloud-based businesses to try out a different cloud service. However, for on-premises infrastructures, it is more complex an issue with a wider range of variables. The problems can be anything like improper configurations or processing delays. Even in the cloud, there may be too much traffic congestion.
Recent studies reveal that 75% of businesses regularly encounter these delays in the workplace. This problem is more prevalent in the United States than in Europe or Australia. Millennials tend to be more vocal about these issues and many believe their employer is to blame. When this scenario unfolds, it can be difficult to retain and develop young talent.
Another big drawback of slow-loading applications is that it can hurt a company’s reputation with customers. While most users probably never count the seconds of downtime, they have become accustomed to expecting instant access to software programs and email. People are aware that computers are supposed to speed up processes, not become sluggish. Waiting more than five seconds becomes noticeable to the average computer user. Such delays disrupt the rhythm of hand-eye coordination that allows users to perceive a computer as an extension of the mind.
How to Fix Slow Applications
Latency can be identified and overcome when you conduct a data infrastructure assessment of the client’s business. You will need to test servers, configurations, data networks, storage, and software. It is essential to prioritize the most used and important applications that the business depends upon. Ideally, this testing is done on a regular basis since new variables can develop over time.
As a proactive MSP, you can ensure better performance by regularly running an automated software fault analysis and checking for hard drive failure. You should also make sure you are running up-to-date software and that it is still compatible with the hardware. If you use virtual machines, check the virtual network configuration and hosting. Some of the modern approaches to resolving latency include predictive analytics and machine learning technology.
Productivity and speed are crucial issues in the age of IoT. Your MSP company must stay on top of resolving app-data gap concerns as quickly as possible. Letting latency linger is simply doing your competitor a favor. Take proactive steps to make sure application performance is not compromised so that you can accurately claim to increase productivity.