Why AlOps Is the Future of Network Management?


In this special guest feature, Amit Shingala, CEO of Motadata, points out that with the vast amounts of incoming data, it can be difficult to identify and estimate all the complications. Therefore, IT organizations must evaluate the benefits of introducing AIOps for network monitoring. Prior to Motadata Amit was a system analyst at Capital Novus Virginia. He has 3 years of experience in building Enterprise products to process electronic data for the E-Discovery domain. He is very passionate about customer service, usability and making products that give the biggest bang for the buck. He graduated with distinction from Bridgeport University, where he earned an MS in Computer Science. His experience managing a Hadoop Cluster at Capital Novus inspired him to solve the problems of Cross-Monitoring in Linux and Windows Environments. He firmly believes that monitoring systems shall rise. .

Network management refers to administering, managing, and employing a data network with the help of a network management platform. The way today’s network management systems operate is that they employ high-end software and hardware to collect and analyze data. 

The collected data is used to eventually roll out configuration changes to improve performance, reliability, and tackle cyber security threats. A network management system studies and monitors every aspect of the network to minimize costly network disruptions as well as allow internal staff time to focus on strategic tasks.

However, with the vast amounts of incoming data, it can be difficult to identify and estimate all the complications. Therefore, IT organizations must evaluate the benefits of introducing AIOps for network monitoring.

Understanding AIOps

In the past few years, AIOps have gained the status of being a revolutionary solution actively transforming the ways IT management and IT operations have been handled. Gartner first devised the term AIOps or Artificial Intelligence for IT Operations while predicting the need for a significant uphaul in traditional IT management techniques. However, the question persists, what is AIOps, and how does it work? 

AIOps solutions combine artificial intelligence and machine learning (ML) with big data to automate IT operations, create predictive outcomes, organize, and analyze a vast flow of historical and real-time streaming data to extract more sophisticated insights.

AIOps platforms can also discover patterns using advanced analytics, identify root cause problems, automate fixes, streamline productivity, and reduce IT ticket volumes and the total cost of ownership.

How AIOps Is Transforming Network Management

Now that we know how AIOps and Network Management function, let us assess the key benefits of incorporating AIOps for network monitoring.

Reduce Downtime and Technology Silos 

Downtime can significantly obstruct mission-critical applications and systems in terms of lost data and revenue, lower productivity, as well as tarnish your organization’s reputation. AIOps tools are proactive, as a result, they can identify impending complications and shutdowns and initiate preprogrammed actions. Technicians can design workflow, ticketing systems, or even set up notifications that prompt higher-ups to take accurate measures.

AIOps solutions also empower enterprise networks to collect and organize relevant analytics into one platform for dedicated network management and monitoring strategies. This eliminates the struggle between multiple networking tools focused on one task. Moreover, AIOps makes it easier for network tools to collaborate as they all possess the same information.

Enhance Predictive & Prioritization Capabilities 

AIOps exists beyond identifying and resolving immediate issues through incident management. AIOps makes it easier for IT organizations to tackle emerging problems by executing preemptive actions. 

Its predictive analytics identify patterns outside of normal parameters, compute usage and system cycles, analyze application performance, etc., to locate temporary usage spikes, impending system failures, or other anomaly detection.

AIOps also offers prioritization capabilities that allow the enterprise to identify the most critical issue and allocate the required resource accordingly. AIOps platform evaluates the impact of a problem on the organization and executes a workflow relevant to the set priority. For instance, a failing key component within a network is assigned an urgent, high-impact tag, which requires immediate attention.

Boosts Security

AIOps within IT can significantly improve all departments, starting from network operators to security teams. Even though AIOps capabilities can be used by mostly all departments, one of its major implementations is in cybersecurity.

AIOps helps the cybersecurity teams by assisting in achieving a considerable amount of speed, clear visibility, and instant intelligence when it comes to threat detection and data security. AIOps carry out various tasks – from detailed monitoring to actions on threats. 

AIOps platforms, along with network infrastructure elements, also evaluate all the connected and wireless devices communicating in the network or the cloud. With AIOps traffic behavioral analysis enterprises can monitor and perform better security threats.

To Sum Up!

Advanced AIOps solutions have transformed enterprises from relying on vendors for resolving their issues to maturing into IT service automation experts. Therefore, several industries are introducing AIOps within their business processes. 

With AIOps, businesses can implement the right technical tools and support to introduce a more streamlined, error-free, and independent approach to network management. Moreover, AIOps promotes collaborative work between different teams using unified network tools, establishing an efficient and effective ecosystem.

Sign up for the free insideBIGDATA newsletter.

Join us on Twitter: @InsideBigData1 – https://twitter.com/InsideBigData1


Source link