Operations | Monitoring | ITSM | DevOps | Cloud

APM tools have been formerly and primarily siloed in the application development arena, with only the most important and mission-critical applications having their APM instrumentation extended into production use due to complexity and cost. In the modern world of application monitoring, the requirements for Dev and Ops need to be tightly integrated.

Application performance management (APM) involves managing the availability and efficiency of software applications by obtaining and translating IT metrics into business outcomes. Because application performance hiccups are inevitable, it’s crucial to have a robust APM solution in place so IT teams can resolve problems faster and more efficiently, lessening the impact on users and the bottom line. One factor muddling application performance optimization is the speed of change.

I recently published an article around the Virtual Apps and Desktops service, a Citrix Cloud offering that allows customers to host backend Virtual Apps and Desktops management components in the cloud. With Citrix Cloud, while the VDAs remain in the customer’s network / control, the control plane is hosted by Citrix and managed by them. There are several advantages of Citrix Cloud.

Raygun’s Launch Notes are your regular round-up of all the improvements we made to Raygun last month — from significant features to performance updates.

Citrix digital workspaces are one of the most performance sensitive technologies being deployed in enterprise networks today. This is due to several reasons: All of this means that if there is a slight glitch in the network, in the Citrix servers, or the applications being accessed, this can result in poor performance for users. In this blog, we review some of the most common myths about Citrix performance monitoring that we have encountered.

Your app is done and the client is ready to launch! Everything looks great. But how can you ensure that you will achieve your SLA for uptime? How are you tracking revenue growth (& optimizing)? Do you know how many users you have, and what they’re doing at any given moment in the app? What you need is a monitoring platform that will be able to track these different types of data in one place.

The goal of Java application monitoring is to minimize the time it takes to discover a problem with a Java application (mean time to detect, or MTTD) and the time it takes to recover from it (mean time to resolve, or MTTR). Understanding what's going on in our code is the biggest step in finding and eliminating the root cause of a problem, and let's face it — that code that seemed clear and concise when we wrote it a year ago might not be as "self documenting" as we thought.