Centralized log management makes it easier to quickly and securely search and sort through heaps of log entries.
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Check out our latest blogs comprising trends, scope, and predictions of IT society including Anything as a Service (XaaS), IoTs, Next-Gen ERP, AI, Augmented Virtual Reality, Cryptocurrency, and their integration with other high-end technologies like natural language, deep & machine learning and robotics. Here, we discuss disruptive digital marketing technologies followed by CRM, customer analytics, consumer behavior, and HR. Our blogs will help you comprehend the cross-connections and comparisons of different tools and software technologies with their impact over each other on various platforms and industries.
6 primary types of virtualization are app virtualization, data virtualization, desktop virtualization, network virtualization, server virtualization, and...
Synthetic monitoring tools administer the competency on an end-to-end basis while running continuous simultaneous tests. Their core function is to effectively...
Robotic Service Orchestration (RSO) is the solution to help you reach digital maturity by successfully collaborating the manual and digital workforce in a...
DevOps Monitoring is a proactive approach to reduce downtime and optimize software performance. If done right, it enhances productivity of the collaborative...
As an enterprise, you tend to work with a significant amount of data, especially in these modern times. Today, every person with a digital device is a data...
The data deduplication solution is designed to pull out any duplicate entries in a data set. These tools and software help any business clean, correct, manage...
Nowadays, practically every business operates on a digital platform. But, is just owning a digital platform for your products or services enough to reach your...
Your cloud service provider may or may not cover the overall cloud workload security. Different cloud service models include distinctive security functions.
In a world driven by data, one cannot afford to lose any data. Losing data can cause data gaps, which can lead to discrepancies in analytics and hence results...