Techno Moon

By: Shibu Paul- Vice President– International Sales, Array Networks AI is a powerful tool with the potential to transform businesses through automation, innovation, and improved efficiency. Yet, alongside these opportunities come serious risks. While AI can fortify cybersecurity efforts, it can also be exploited by cybercriminals for more sophisticated attacks. Organisations now grapple with a crucial challenge: how to capitalise on AI’s advantages while safeguarding against its potential threats. Risks of AI in Security While AI offers powerful tools to enhance security, it also introduces new vulnerabilities that cybercriminals can exploit to launch more sophisticated and targeted attacks, including: Risk to Data Integrity The widespread use of Generative AI platforms in day-to-day operations can inadvertently lead employees to disclose personal and confidential information. This unintentional leakage can encompass customer data, intellectual property (IP), and other critical bus...

High availability, performance, and scalability are perhaps the biggest concerns of today’s digital landscape. Load balancers can be considered intelligent gatekeepers who optimize service functionality. They offer a seamless experience to the clients. However, to get maximum ROI with the load balancers, you need to ensure that it is operating at peak performance levels, and for this purpose, load balancing metrics are your key to success.  Load balancing metrics are crucial in giving insight into the performance and health of your load balancers. They measure where there is a need for adjustments to ensure optimal service delivery. Let’s have a look at 11 very significant load balancing metrics, why they need to be measured, and how you can achieve maximum benefit for your business.  Why Measuring Load Balancer Performance is Significant    Load balancers distribute incoming traffic evenly across a set of servers so that not just a single server is overwhelmed. It ...