Delivering on network reliability causes an enterprise’s data to become more distributed, introducing advanced challenges like complexity and data gravity for network engineers and operators. Learn concrete steps on how to implement cloud reliability and the trade-offs that come with it.

Citrix Cloud is a popular cloud-based solution that provides businesses with the ability to deliver secure and reliable access to applications and desktops to end-users from anywhere and any device. However, like any other cloud-based solution, there may be instances where end-users may experience issues while using Citrix Cloud. In this blog post, we will discuss how to troubleshoot and resolve experience issues for end-users on Citrix Cloud using a step-by-step troubleshooting workflow.

Cloud computing makes it easier for businesses to build and deploy applications that are accessible from anyplace in the world. But cloud computing also introduces new challenges, such as ensuring applications remain available even if there are network outages or unexpected spikes in traffic. ManageEngine CloudDNS provides a powerful geo-load balancing and redundancy feature that makes it easy to manage and distribute traffic across multiple servers and locations.

Microsoft Azure is a leading cloud computing platform offering a wide range of services to cater to the needs of businesses across various domains. One of the popular services is Azure Storage, which allows organizations to store, access, and manage their data in a secure and scalable manner. When it comes to deploying virtual machines (VMs) in Azure, organizations need to make a critical decision between Managed and Unmanaged Disks.

A distributed system is a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another. The components interact in a decentralized manner and work together to achieve a common goal. Working with distributed systems is challenging, because failure often spreads between components and debugging across multiple components is difficult and time-consuming.

Consolidating or exiting your data center is a complex and high-stakes initiative. Despite the many benefits of moving to the cloud, lifting and shifting workloads without a clear understanding of dependencies between workloads or without addressing underlying technical debt or security vulnerabilities can result in bigger, more expensive problems in the long term.

‘THE MORE THE MERRIER!’ they say. A quick Google search of this popular phrase states that the more people or things there are, the better or more enjoyable a situation will be.

Just about everything you interact with digitally is enabled by the cloud. Whether you’re doom-scrolling on Instagram, binge-watching on Netflix, ride-hailing on Uber, or downloading super-cool cloud podcasts (hint, hint) on Spotify, you’re using the cloud. But most people don’t have any idea what the cloud is, where it came from, or what we, as a species, spend on it.

For Amazon to survive, they needed the cloud. But they had to invent it — and creating the cloud meant overcoming obstacles fundamental to the nature of software development at the time.