Operations | Monitoring | ITSM | DevOps | Cloud

Domain redirection plays a crucial role in managing website transitions, consolidating content, and maintaining a seamless user experience. This article explores the various aspects of domain redirection, including the different types of redirects, DNS redirection, and best practices for preserving SEO value during the process.

In this blog, we look at how cloud storage solutions have evolved in recent years and explore some of the key connectivity considerations as businesses store more data in the cloud. Cloud storage is probably the oldest and most familiar cloud application, best defined as storing data on ‘someone else’s computer’.

Imagine driving a car at night without headlights. It's risky, right? Without them, you can't see where you're going, and you might crash. Well, the same goes for visibility in enterprise networks. If you can't see how they're performing, you might run into problems with important apps, slow Internet, and unhappy customers. That's why having the right tools to see what's happening on your network is crucial. It's like turning on those headlights to make sure you're going in the right direction.

DNS record types are essential components of the Domain Name System that provide crucial information about domains and hostnames. This article will explore the various DNS record types, including common ones like A, AAAA, CNAME, NS, MX, TXT, PTR, and SOA records, as well as less common types such as SRV, CAA, DNAME, and NAPTR records.

At Tidal, we’re always looking for ways to streamline IP address management (IPAM) tasks for our customers. That’s why we’re excited to announce the latest enhancements to our Subnet user interface (UI). With these new features, network administrators and owners can now easily export and copy IP address data, simplifying workflows and improving collaboration.

In the LM Envision platform, anomaly detection for metrics is referred to by the feature name “Dynamic Threshold” rather than the more generic machine learning term “anomaly detection.” Dynamic thresholds allow users to identify and set custom alert thresholds based on observed data points. Metric thresholds in rules-based systems are effective when the desired outcome is clear. However, static thresholds may not anticipate emerging issues.