What are the best monitoring practices for extending IT visibility?

Extending IT visibility and monitoring is crucial for maintaining the health and performance of your IT infrastructure. As businesses rely heavily on their IT infrastructure to drive productivity, streamline operations, and deliver exceptional customer experiences, they must ensure that their IT systems are running smoothly. And it’s possible to overcome this challenge by setting up effective monitoring practices for extending IT visibility.

Why is IT monitoring important?

First and foremost, IT monitoring provides businesses with unparalleled visibility into their systems and networks. By constantly analyzing the performance and health of your infrastructure, you can swiftly detect any issues or anomalies before they escalate into major problems. This proactive approach allows for quick troubleshooting and minimizes downtime.

Furthermore, effective IT monitoring enables businesses to optimize their resources. By closely tracking usage patterns and resource allocation, organizations can identify areas where efficiency can be improved or costs can be reduced. This data-driven approach empowers decision-makers to make informed choices that align with the goals of the business.

 

Another key benefit of IT monitoring is its ability to enhance security measures. With cyber threats growing more sophisticated by the day, constant vigilance is vital to protect sensitive data and prevent potential breaches. Monitoring tools provide real-time insights into network traffic, allowing for immediate detection of suspicious activity or unauthorized access attempts.

Last but certainly not least, IT monitoring helps businesses stay compliant with industry regulations and standards. By continuously monitoring systems for compliance requirements such as data privacy laws or cybersecurity protocols, organizations can avoid costly penalties and maintain customer trust.

Here below are some best monitoring practices to help you achieve this:

 

  • Define Clear Objectives: Start by defining clear objectives for your monitoring efforts. Understand what you need to monitor, why you need to monitor it, and what the expected outcomes are. This will help you focus your efforts on the most critical areas.
  • Comprehensive Coverage: Ensure that your monitoring covers all critical components of your IT infrastructure, including servers, networks, applications, databases, and cloud services. Gaps in coverage can lead to blind spots.
  • Real-time Monitoring: Implement real-time monitoring solutions to detect issues as soon as they occur. Real-time alerts and notifications allow you to address problems promptly, minimizing downtime and user impact.
  • Historical Data: Collect and store historical monitoring data. This data can be invaluable for trend analysis, capacity planning, and identifying long-term performance issues.
  • Thresholds and Baselines: Set appropriate thresholds and baselines for your monitored metrics. Thresholds trigger alerts when values go beyond acceptable limits, while baselines help you understand normal performance patterns.
  • Alerting and Escalation: Configure alerting mechanisms to notify the right people when issues arise. Establish clear escalation procedures to ensure that critical problems are addressed promptly by the appropriate teams.
  • Visualization: Use dashboards and visualization tools to present monitoring data in a user-friendly and informative manner. This helps teams quickly grasp the state of the environment.
  • Automation: Implement automation for routine tasks, such as restarting services or scaling resources based on monitoring data. Automation can help mitigate issues before they impact users.
  • Scalability: Ensure that your monitoring solution can scale with your infrastructure. As your organization grows, your monitoring system should be able to handle increased data volume and complexity.
  • Security Monitoring: Don’t forget about security monitoring. Monitor for suspicious activities, unauthorized access, and vulnerabilities to protect your IT environment from cyber threats.
  • Regular Review and Optimization: Regularly review your monitoring setup to ensure it aligns with your objectives. Optimize your monitoring configurations as your IT landscape evolves.
  • Documentation: Document your monitoring setup, including configurations, alerting procedures, and incident response plans. This documentation is valuable for onboarding new team members and maintaining consistency.
  • Training and Skill Development: Invest in training for your IT and operations teams to ensure they are proficient in using monitoring tools effectively.
  • Compliance and Reporting: If your organization needs to adhere to specific compliance standards, ensure that your monitoring practices align with those requirements. Generate regular reports to demonstrate compliance.
  • Cloud and Hybrid Environments: If you’re operating in a cloud or hybrid environment, adapt your monitoring strategy to accommodate the dynamic nature of these setups. Cloud-native monitoring solutions can be beneficial.

By following these best monitoring practices, you can enhance IT visibility, proactively address issues, and ensure the reliability and performance of your IT infrastructure. Monitoring is an ongoing process, so regularly assess and refine your approach to meet changing business needs and technological advancements.

IT automation – Top Technology trends to look for Business Transformation

IT automation is one of the biggest IT trend terms in recent years. This involves a wide variety of solutions that give IT specialists more freedom in their day-to-day business. “IT automation is certainly a worthwhile goal because it saves a lot of money through lower personnel costs” – Tony Iams, Managing Vice President at Gartner. Yet IT teams in small and medium-sized companies often struggle with budget constraints and a shortage of skilled workers. When the demand for IT services increases, they are therefore heavily overloaded and look for ways to increase efficiency.

The 2020 IT Operations & Strategic Priorities for IT Executives report from Kaseya shows that IT automation is a critical need for SBMs, 60% of IT executives worldwide plan to invest in IT automation in 2021. IT automation is their primary strategy for doing more with less. With IT automation being a top priority for businesses today, IT teams are now applying it to a wider range of business and IT functions. Here below technologies are particularly efficient:

IT Automation Technologies for Business Transformation

 

Robotic Process Automation (RPA)

Robotic process automation (RPA) is changing the way companies operate around the world. It is well known that with Robotic Process Automation (RPA) you can optimize many processes and save time and money. An immense number of processes are still carried out manually in companies and authorities, although this is actually not necessary. RPA tools use software bots that simulate human-computer interaction to automate routine tasks. RPA is rapidly growing thanks to the benefits it has to offer such as lower labour costs and less human error. RPA bots usually do not require any software customization or deep system integration. According to Gartner, global RPA software revenue is projected to reach $ 1.89 billion in 2021, up 19.5% from 2020. It goes without a doubt that RPA is accelerating digital transformation.

 

Implementation of RPA

Despite the numerous advantages this technology has to offer, most businesses struggle with successful RPA implementation. The use of Robotic Process Automation (RPA) promises a high increase in process efficiency but also brings huge implementation challenges if it’s not seen as a central building block on the way to hyper-automation but just another technology. According to a study by Deloitte, many companies have found that scaling RPA is more difficult than expected. Larger RPA implementations, when the number of bots is more than 50, often take longer and are more complex and costly than companies originally expected. Particularly when introducing Robotic Process Automation, attention must be paid to a strong strategy, right expertise, and communication with employees for the realistic expectations of Robotic Process Automation, because the software robot should automate entire processes or at least make work easier through partial automation. A lack of acceptance makes the implementation of corresponding RPA projects more difficult and leads to distrust and displeasure among employees. Rather, if the employees actively participate in the development of the robot, particularities in the processing of the process can be emphasized. Positive communication also creates trust and motivates the workforce to contribute their own ideas.

 

Predictive analysis

As the name suggests predictive analysis techniques include machine learning, data mining, and predictive statistical modelling to use historical data from various operational sources to predict the likelihood of future events. It’s an emerging technology that is helping companies acquire and retain their most profitable customers and grow the customer base to improve operations. They also help companies predict future customer needs, business needs, human resource requirements, and process improvements that they should make to their operations. It’s being used by multiple companies to improve the efficiency of production and operations, reduce risk and fraud, and create better customer experiences by mapping the likely journey of customers and the expected touchpoints. It can also improve the accuracy of supply chain management, and help organizations create marketing plans with more precision, knowledge and confidence. This technology is also helping IT security experts to identify potential vulnerabilities, determine the likelihood of cyber-attacks and work on improving the company’s security structure.

 

Artificial Intelligence (AI)

AI refers to the ability of a machine to display human-like capabilities such as reasoning, problem solving, learning, planning and creativity. By using machines are programmed to think like humans and mimic their actions. The AI ​​system is fed by sensors in machines, ERP systems, customer relationship management systems and even Internet data. Alexa, Siri, Cortana – the chatbots from Amazon, Apple and Microsoft are examples of how artificial intelligence makes the interaction between humans and computers easier and more efficient. Business software manufacturers are increasingly using intelligent algorithms to make life easier for their employees and customers.

 

Hyper automation

Basically, the term hyper-automation covers the combination of different technologies. From a global perspective, the focus is still on the automation of simple and complex tasks, but the combination of different technologies such as PRA, ML, and IBPMS ensures more efficient processes. In addition, there is no need for human action. Hyper-automation contributes to higher productivity in the company. According to Gartner’s, List of Top Strategic Technology Trends for 2021 – Hyper automation is a key trend that digital strategy teams should consider.

 

Sources:

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