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What is Business Continuity and Disaster Recovery Planning?
Maintaining continuity is one of the most challenging tasks for a business. Every day, the IT infrastructure should keep operational to perform business processes. But market disruptions and economic developments can wreak havoc on a company’s day-to-day operations. Simultaneously, businesses are having trouble putting together a robust disaster recovery strategy in the event of an IT failure. To address these issues, businesses are turning to cutting-edge technology such as Artificial Intelligence (AI) and Machine Learning (ML). Continue reading to learn more about disaster recovery and business continuity planning.
What are the effects of IT disasters on business continuity?
Currently, corporate organisations rely on a variety of software platforms to carry out their vital tasks. When a company’s software systems are abruptly shut down due to an IT disaster, service availability suffers. A business cannot ensure service availability without crucial software systems. Businesses can’t make income or engage with customers if they don’t have day-to-day operations. As a result, businesses will be obliged to shut down their operations.
Even if there is an IT disaster, your core business processes should remain operational. Every company prioritises service resilience in order to keep their critical software systems running even in the event of an IT disaster. A single hour of downtime can significantly reduce a company’s income. Businesses are focusing on building a solid disaster recovery plan that could assist them boost their service availability. When a company has the ability to recover from IT disasters, it can assure business continuity even in the face of adversity.
Challenges faced while maintaining business continuity
Businesses want better monitoring systems to avert IT disasters, which is critical for ensuring business continuity. In 2021, traditional monitoring techniques are not able to predict IT disasters. Traditional IT tools for monitoring and disaster recovery have the following drawbacks:
- Most of the businesses have adopted cloud technology for pacing their operations. Data on the cloud is deleted the next second and, you won’t even have a chance to create a backup. Without business data, it is impossible to know the reason for an IT incident/disaster. The traditional data collection and monitoring tools cannot handle the complexity of the cloud environment.
- Lack of real-time user monitoring tools is forcing businesses to compromise on user data. Real-time user monitoring tools can help fix IT issues immediately as they occur.
- Businesses are not ready for sophisticated cyberattacks on the IT infrastructure. The sensitive business data needs to be protected at all costs and businesses are unable to do that with legacy tools.
- When a disaster occurs, IT teams are unable to find the root cause. IT teams spend hours and even days to find the root cause of an IT disaster. It results in a huge downtime and degradation in service availability. If a company cannot fix IT disasters quickly, it cannot achieve business continuity.
- Large organizations have many software systems that are responsible for daily operations. An organization cannot recruit system administrators for each software system as it will be too costly. Businesses need a central monitoring solution that can cover the entire IT infrastructure and connected systems. With a central monitoring solution, businesses can look after IT incidents and thus boost business continuity.
Traditional disaster recovery technologies are ineffective in ensuring business continuity because of these issues. Businesses are now turning to Artificial Intelligence for IT Operations to help them avoid crises in their IT infrastructure (AIOps). Analytics tools based on AIOps are assisting firms in managing modern-day IT disasters.
What role does AIOps play in ensuring business continuity?
AIOps technologies use artificial intelligence (AI) and machine learning (ML) algorithms to do real-time analysis without the need for manual labour. In the following ways, an AIOps-based analytics platform can assist you in maintaining business continuity:
- AIOps based analytics platforms are helpful in event correlation and root cause analysis. AIOps-based monitoring tool will collect data from all sources including cloud and user data. The data will then be used to perform event correlation. You can learn about the relationships between different events in your IT infrastructure. With better event correlation, you can know about IT disasters in real-time.
- Every time an IT incident occurs in your organization, an AIOps based analytics platform will help in getting back up stronger. Business risks can be identified in real-time this ensuring business continuity. Many organizations adopted an AIOps strategy to cope with the challenge of remote work culture. An AIOps based analytics platform can help NOC support teams to monitor an organization’s network remotely.
- With an AIOps based analytics platform, you will have complete control over your IT infrastructure. Diverse IT environments can be merged easily with AIOps. AIOps will bring all your software systems together for better application performance monitoring. Since you will have control over the IT infrastructure, you can mould it easily to cope with future challenges.
- AI for application monitoring can predict the exhaustive capacity of your critical software systems. You can predict the downtimes in your organization with an AIOps based analytics platform. You can then take proactive steps to avoid IT disasters and maintain business continuity.
How can AIOps help you create an effective disaster recovery plan?
You must offer sufficient training data to an AIOps-based analytics platform once it has been installed in your firm. The AIOps-based analytics platform will then gather data on IT disasters that occur within the company. Once fully trained, the analytics platform will give you with actionable insights to help you avoid IT disasters. IT teams can quickly recover from disasters using advanced analytics, root cause analysis, and actionable insights.
According to studies, every time a company suffers downtime, it loses 5-20 percent of its productivity capacity. Monitoring tools based on AIOps might assist you in reducing downtime incidents. You can sustain business continuity with high uptime and service availability.