Linux Disk Space Forecasts Self-service Business Intelligence Tools – According to Statista, “The total amount of data created, captured, copied and consumed worldwide is expected to increase rapidly and reach 64.2 zettabytes by 2020. In the next five years, by 2025, global data generation may exceed 180 zettabytes. zettabytes. ”
In the hybrid business world, data has become a critical element of business, growth and success. Increasing demand for distributed access, poor performance tolerance, and scalability has placed disk space monitoring at the center of many organizations’ server management strategies.
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The same statistical report states: “Based on strong data volume growth, installed storage capacity is expected to increase, with an expected annual growth rate of 19.2% from 2020 to 2025.”
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Increasing data usage has made monitoring disk usage a priority for organizations to ensure disk space availability, minimize the risk of unplanned downtime, and avoid potential server crashes. Disk Space Monitor helps you set monitoring thresholds and trigger alerts when disk space thresholds are exceeded, providing end users with continuous productivity and helping administrators plan, upgrade, and maintain disk capacity.
However, enterprise-class disk space monitoring requires more than performance charts and numbers. You should focus on a long-term business strategy that considers all the interrelated and potential factors of disk space consumption. Along with this, you can also gain a deeper understanding of your network operations and optimize disk usage across your network.
The complexity of this process can lead to certain challenges that can have long-term adverse effects if not handled properly. Below are the main challenges of disk space monitoring.
Determining nominal disk space usage standards for servers or other devices is difficult because ideal disk usage is constantly changing. A level of disk usage that you think is safe today may put your network at risk tomorrow. Disk space changes based on different business scenarios such as usage frequency, end-user usage patterns, and server type (local or global).
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For example, consider an e-commerce business where the nominal disk usage on SQL Server is set to 70% by default. But when flash sales are held on special days or on special products, registrations and orders increase significantly.
Technically, I/O requirements for server disk usage increase, and server disk usage exceeds baseline during sales and falls below baseline after sales. This causes I/O delays and affects network performance.
Tip: To handle sudden data overload on the server, you can set the threshold value slightly lower than the nominal baseline, so that you are always ready.
Disk space is not shared. It is affected by other related factors, such as problems with the applications, processes and services running on the server, which eventually leads to abnormal consumption of disk space.
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What are you thinking? Let’s take another example. If you run a high-end program that has bugs or errors on the server, it will consume more disk space than usual to run normally. This will speed up disk space usage. In this case, manually cleaning the devices or increasing disk space will not help, as the event is not due to a disk space problem, but a false positive caused by processes or applications running on the devices. If you don’t fix the bugs or block the app from running on the device, you won’t be able to fix the problem.
In these circumstances, disk space monitoring alone is not enough. When a crash occurs, you may miss relevant factors and come to the wrong conclusion that the crash is caused by insufficient disk space.
Organizations running high-performance applications for business performance typically operate in environments with correspondingly high disk usage. This requires network administrators to continuously monitor network devices’ disk space and take appropriate action when unusual usage patterns occur, including upgrading hardware devices.
When it comes to hardware upgrades, one of the biggest challenges is ensuring that the hardware configuration is consistent with the live system and the monitoring tool. Indeed, there is often a communication gap between the field team and the monitoring team, which undermines their productivity and increases the time to resolution (MTTR) when errors occur.
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Suppose the field hardware team updates the hard drives of devices X, Y, and Z and forgets to notify the monitoring team. If devices X, Y, and Z subsequently send alerts about disk space issues, the network administrator will not know the recently updated disk space. It takes some time to resolve the problem before the administrator discovers that the disk has already been updated and disk space is not a concern.
Server Server A server landscape may increase disk usage due to failures or malfunctions of other interconnected devices, such as routers or switches. Determining whether a failure is caused by insufficient disk space or a failure of dependent equipment requires a broader perspective, which takes time, money, and effort. But paying this price can avoid business losses due to downtime and excessive disk space consumption.
Simply put, since the performance of a server disk is also dependent on the equipment that is connected to it, any failure of the equipment will ultimately affect the utilization of the server disk. You’ll get a clear picture of your network architecture, which devices rely on which servers and vice versa, and identify sources of performance bottlenecks.
Analyzing how disk space consumption changes based on business trends helps network administrators set disk space monitoring thresholds in the short term, but is not useful for long-term performance due to the dynamics of disk space usage.
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For example, you might set a server disk threshold based on disk space usage patterns during a given week. But usage patterns may not be the same the following week or months. For example, users may have more access to the database on weekends and less on weekends to perform critical processes in the first quarter and low-level tasks in the future. This varies from company to company and contributes to the growing trend of data on disk.
In this case, it is difficult to establish an ideal baseline because of the lack of long-term attention to growth trends. For long-term analysis:
Determine disk usage baselines by considering operational requirements and metrics such as historical data, user behavior, and updates to key applications.
Ignore related factors that affect disk usage, such as program errors or server crashes.
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Establish a system to ensure coordination between teams and regularly scan and keep monitoring tools up to date
Server-dependent devices lack deep visibility, and their failure affects disk utilization and disk performance
Finding ideal long-term monitoring baselines due to lack of long-term attention to disk data growth trends
Create growth trend reports, review historical data, compare with other reports, and make informed decisions.
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Finally, we recommend that you use a comprehensive tool that can easily overcome all these challenges and improve your disk space monitoring experience. One such tool is OpManager!
OpManager is a powerful, easy-to-use disk space monitoring solution with over 230 dashboard widgets including disk read requests, disk space used in GB, disk write time, and disk I/O usage. You can use OpManager as a disk space monitoring tool for Windows, Linux, Unix and Solaris servers. Using OpManager’s AI-based compliance thresholds, IT administrators around the world can significantly reduce the manual effort involved in proactively monitoring disk space, optimize disk usage practices, and create an efficient network infrastructure.
New to OpManager? Schedule a customized schedule or download a free 30-day trial to see how OpManager can simplify your disk space monitoring tasks! Business intelligence, commonly referred to as BI, is the process of gathering, analyzing, and presenting information to inform business decisions. BI helps organizations turn their raw data into meaningful information that can guide business strategy. BI offers many benefits to organizations, including improved decision-making, increased efficiency, and better utilization of resources.
BI dashboards are an integral part of BI tools and provide visualization of complex data. BI dashboards are data visualization tools that make it easy to understand KPIs, metrics, and other data points. Dashboards help organizations track performance in real-time and make informed decisions.
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The main benefit of using BI dashboards is that they provide real-time data visualization that enables organizations to react quickly to changing business conditions. They provide an overview of the organization’s performance and allow leaders to make informed decisions.
Common use cases for BI dashboards include business performance tracking, financial analysis, customer behavior analysis, and supply chain management.
Open source BI dashboards are becoming increasingly popular due to their cost effectiveness
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