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Understanding how Real-Time Data Aggregation Improves Service Availability and Business Reliability
Business organisations must make the greatest use of aggregated data in this data-driven world. A corporate organisation will suffer if business data is left ignored. A business must ensure that it captures business data daily for future usage. Many IT professionals believe that to identify buying trends, organisations merely need to acquire customer data. To respond to customer expectations, it is necessary to understand customer data. Business companies should focus on collecting performance data across software systems for fault management in addition to consumer data. To improve your overall service availability, you can identify performance and end-user concerns. Continue reading to learn how real-time data aggregation increases service availability and business reliability.
Aggregation of data to improve service availability
What kind of data should businesses collect to improve service availability? Before you can understand data aggregation, you must first comprehend the concept of service availability. A company’s survival is dependent on several software systems. Those software systems should be operational to ensure that your company’s services are always available to clients. You will need performance/log data to keep the systems working. What is the value of customer buying trends in terms of keeping important software systems online? Marketers that want to advertise their company’s products or services need sales data. You will need data on software systems, end-user devices, and other things to improve service availability.
The following are the types of data that should be collected by businesses to improve service availability and business reliability:
- Collecting performance data across the IT infrastructure is of utmost importance for any business organization. Service availability is disrupted when some performance issues occur with the critical software systems. The best practice is to collect log data for as long as the systems are online.
- Many business organizations opted for virtual desktop infrastructure solutions in recent times. The spread of the COVID pandemic across the globe forced organizations to use virtual desktop infrastructure solutions. When working remotely, employees install virtual machines on their devices besides using company devices. You need to collect data about the employee behaviour on virtual machines to make sure they are working.
- Customers use digital channels offered by businesses to interact with their services. Websites and business applications are the common digital channels used by customers. Besides customers, cyber attackers also use digital channels to enter the organization’s internal network. If a cyber attacker gets into your internal network, it can have adverse effects on the service availability. It is why you should also collect data regarding customer behaviour on different digital channels.
- When a software system fails or, a performance issue is detected, it is called an IT incident or IT event. Every time an IT incident/event/disaster occurs, you need to document it. Data regarding the occurrence of the IT event needs to be stored. It helps IT firms calculate the average time to discover and resolve IT incidents. Also, it will if a similar type of incident occurs within the IT infrastructure in the future.
Data aggregation challenges for increasing service availability
If gathering these types of data for increasing service availability was so easy, there would not be many data aggregators in the market. IT teams may find data collection throughout the entire IT infrastructure to be a time-consuming undertaking. IT professionals encounter the following problems when it comes to data aggregation in order to improve service availability and business reliability:
- Manually collecting performance data across many software systems is a challenge for IT firms. Data analysts must spend days collecting log data from several software systems.
- Organizations are lacking observability into their IT infrastructure as software systems are becoming rigid. Poor observability keeps you from knowing the internal states of your software systems. When you don’t know about the internal state of any system, you cannot know much about its performance.
- Performance data is collected to identify performance issues and security threats. However, IT teams gain access to log data after a performance issue has occurred and hampered the service availability. It teams cannot collect performance data proactively with age-old data aggregators in the market.
- When organizations are scaling up, they install more software systems with their premises. To maintain the optimum performance of software systems, rigorous monitoring is required. A business organization cannot keep on increasing the number of system administrators every time they scale up.
- In the wake of the COVID pandemic, businesses are using virtual desktop infrastructure solutions which are hard to monitor. Businesses need to monitor the activity of employees that are working remotely.
- Business organizations are facing issues in monitoring the network devices due to increased complexity. You must collect data regarding the performance of network devices like switches, routers, and load balancers.
What is the best way to aggregate data in real time?
AIOps is a potential solution considering the necessity for real-time user monitoring tools. You can carefully collect IT data that could help you increase service availability using the power of machine learning and AI. AIOps-based analytics platforms, unlike traditional monitoring tools, collect performance data over a long period of time. AIOps-based analytics tools can use historical data from past years for event correlation. Additionally, because AIOps-based monitoring will automate various tedious activities, you won’t need to hire many system administrators.
Data can be collected from a variety of sources, including software systems, virtual machines, digital channels, and end-user devices, using AIOps-based analytics platforms. An AIOps-based monitoring solution will evaluate the data once it has been collected to look for error patterns and performance issues.
Conclusion
Small reductions in service availability can build up to a major loss for a company over time. Businesses should focus on rigorous data aggregation across the whole IT infrastructure and connected devices if they want their systems to be always up. AIOps-led data aggregation can help you improve service availability.
