One of the biggest challenges Citrix admins face is uncovering answers for Citrix performance issues. When an application or a desktop is slow, people naturally pin the blame on the Citrix infrastructure. It’s possible that there could be issues stemming from the Citrix side of the house, but often the real culprits are the supporting infrastructure components: network latency, virtualization bottlenecks, AD issues, storage hotspots, database issues, etc.

This post is going to be a tad different and longer than what you are used to but I promise, it’s going to be an interesting one. We are going to build a serverless React + GraphQL Web app with Aws amplify and AppSync.

With AWS Lambda, we get scalability and resilience out-of-the-box. What’s more, AWS also provides built-in monitoring, logging and tracing support through CloudWatch and X-Ray. These built-in tools provide a good starting point but many developers eventually outgrow them as their serverless application becomes more complex. In this post, let’s take a serverless application and see how Dashbird can help you debug a serverless application.

The Douglas Omaha Technology Commission (DOTComm) manages the IT services for the City of Omaha and Douglass County. Founded in 2001 the Organisation brought together the services previously delivered by two separate providers through a merger. This initiative was designed to deliver economies of scale, reduce costs and improve service provision by increasing the capacity of the organization.

Modern businesses face a unique challenge when it comes to protecting their data, one that changes rapidly in our technology-focused lives: Backups fail; local disks fail; files become corrupted; hackers prey on IT users. Jungle Disk was founded to deliver robust data security to clients across a wide range of industry sectors and, since 2006, have been providing their clients with the latest technologies to keep their critical information safe.

When we are faced with a performance problem related to those responsible for the applications and those responsible for the network platform, we usually think about how useful it would be to have a traffic analyzer that clarifies the real origin of the problem. Now, many times we see network analysts who after installing the tool feel overwhelmed by the amount of information it offers them.

Even in this field of work, not everything can be perfected 100%. There are always some situations and cases that will force you to go back or even remain in the present spot, despite your wish to keep going forward at your own pace. In this article, we’ll talk about the cold start impact on latency. What is it? How to fight against it? Is there a successful way of avoiding it or not?

A common problem faced by website users across the world is the slow loading of webpages. One major reason for this is the time taken by images to load. As website developers struggle with their site’s loading time, help is at hand in the form of the online tool “Piio”. This tool mechanically creates real-time images for websites and helps them load at very high speeds.

An immeasurable amount of data, in its raw, unfiltered form, exists all around us. For most of us, to be able to properly categorize and “read” that data, we first must convert it into a format that we can understand – which is where the log viewer comes in.

The high-level steps for implementing chaos experiments involve: defining your application’s steady state, hypothesizing the steady state in both the control and experimental groups, injecting realistic failures, observing the results, and making changes to your code base/infrastructure as necessary based off of the results.