In an ideal world, every alert would signal a unique and critical issue. However, in reality, alerts often come in waves. Alert noise refers to the overwhelming volume of notifications that incident response teams receive, many of which may be redundant or irrelevant. This can lead to alert fatigue, where critical issues might be overlooked due to the sheer number of notifications. ‍

As organizations increasingly look to leverage the benefits of both on-premises and cloud environments, hybrid cloud architecture has gained traction. Today, 75% of organizations worldwide have adopted a hybrid cloud strategy. However, hybrid IT isn’t for everyone.

In today’s interconnected business world, external collaboration is essential. SharePoint Online provides the flexibility to share documents with external partners, clients, and vendors, but this can also expose organizations to data security risks. Securing external sharing while ensuring smooth collaboration is key to maintaining trust and protecting sensitive information. Here’s how you can achieve that balance.

AWS Auto scaling Auto scaling is a powerful feature that allows your cloud infrastructure to dynamically adjust capacity based on demand, optimizing both performance and cost. However, to truly harness the power of Auto Scaling groups in AWS, you need to move beyond basic setup and dive into fine-tuning with advanced monitoring. This blog will guide you through advanced strategies for optimizing your AWS auto scaling using enhanced monitoring functionalities.

The state of industries has come a long way since the Industrial Revolution with new technologies such as smart devices, the internet, and the cloud. The Industrial Internet of Things (IIoT) is a network of industrial components that share and process data to gain insights. But as IIoT involves sensitive data and life-critical operations, this also comes with various IIoT cloud security challenges. Therefore, it is important to strengthen security.

The recent global IT outage is a stark reminder that even the most advanced organizations can have bad days. Major disruptions can have significant downstream impacts that can lead to disappointed customers, lost revenue, deferred processes and even legal action if the downtime is considerable. With the rapid pace of technological change and the continued digital transformation intensified by AI, disruptions are no longer “unexpected.” They are part of the normal course of business.