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Application Monitoring with AIOps
Application Monitoring with AIOps

April 14, 2023

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Adoption of AIOps brings numerous benefits, right from processing data from multiple sources faster and using that data to make data-driven decisions, to making IT operations more proactive by predicting and remediating performance issues across applications and deployments.

AIOps is helpful in improving the application monitoring efforts in following ways:

  • Detects Hidden Relationships

There are challenges of understanding the interdependencies between different systems in IT operations and monitoring due to the vast amount of data. AIOps can help by evaluating performance metrics across different systems and identifying the impact of IT applications on the overall company's performance and customer satisfaction. By working with the business to determine mission-critical activities and gathering data, AIOps algorithms can identify patterns and clusters to help businesses understand the relationships between systems.

  • Optimizes Use of Customer and Transaction Data

Capabilities of AIOps can help in the identification of patterns, anomaly recognition, categorization, and extrapolation. These are essential aspects of big data analytics operations that the organization applies to the transaction and customer data. Leveraging AIOps can help in understanding user behavior in broad IT systems.

  • Forecasts Issues

AIOps can help businesses stay ahead of potential issues by predicting and preventing them before they even occur. By analyzing historical and real-time data, AIOps can identify patterns and anomalies, and alert IT teams to potential problems. This helps reduce response time to incidents and minimizes downtime. Additionally, AIOps can help in capacity planning by forecasting future demand for resources and identifying areas where optimization is needed. With AIOps, businesses can streamline their application monitoring processes, bring together silos, and improve operational efficiency and security.

  • Decreases Response Time

By leveraging AIOps, companies can reduce the response time of dealing with errors and outages. Experts believe that AIOps can reduce the cost of events like errors, outages by 40%. This signifies a massive saving considering that the average cost that a company bears in service disruption.

  • Brings Together Silos

One of the issues in improving application performance is how siloed organizations can be. Almost all IT professionals agree that most monitoring tools only provide them with information related to their areas of responsibility. But AIOps can deal with this issue by leveraging data analytics and machine learning. These technologies allow the tools to monitor tons of information streams. Such extensive monitoring makes it easier to spot problems that would otherwise be difficult to spot with a siloed approach.

IT leverages a lot of application monitoring tools to maintain operational efficiency. However, each of these tools collects a massive amount of data that needs to be maintained. The team fails to detect vulnerability and issues in the complex web of data, leading to security threats. By accessing the potential of AIOps, IT teams can automate and improve their application monitoring processes rapidly.

Sources:

  1. How AIOps helps in Application Monitoring
  2. The Role of AIOps In Managed Services

 


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Current Focus Areas: IT Services, AIOps, 5G, Cloud, Project Management. Also specialises in Application Rationalization, Cost Optimization, Benchmarking, Report writing, and Market Research.

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