Monitoring your Java applications is an essential part of ensuring high availability and good performance. And yet, many Java developers hold off on practicing application performance management (APM) until they’ve already deployed their application to a test environment, or even to production. Perhaps they don’t have access to an APM solution with the right insights, or maybe they don’t have the time or resources to deploy to a temporary environment and wait for metrics to come in.

You have management software that you’ve used for your Linux or Windows servers. Can’t you just deploy a Linux agent and monitor a VMware vSphere/ESX server, or a Windows agent to monitor a Microsoft Hyper-V server? This is a very common question that comes up in any discussion on VMware monitoring and virtualization management. After all, when a VMware ESX server boots, the administrator gets to a Linux login prompt and can login to a Linux operating system.

Downtime is the biggest nightmare for organizations that capitalize on technology. A study about enterprise outages found that nearly 96 percent of enterprises had faced downtime in the past three years. Businesses lose a minimum of $1.55 million annually and 545 hours of staff time due to IT downtime. Up to 51 percent of downtime is preventable, which means businesses are spending on damage control when these resources could be diverted to something more fruitful, like R&D.

Over the past few years, we’ve witnessed a couple of key trends in the performance monitoring space. Adoption of single-page applications (SPAs) has continued to grow and as such performance monitoring is evolving. SPAs don’t offer the same existing web metrics like load time or first paint from the browser performance API. As a result, developers require more flexibility to track the metrics that matter to their end-users and business.

IT applications are vital for today’s digital economy and for the business to succeed, these applications must be highly available and performing well. Application performance degradations can occur for several reasons. There may be code-level issues, database slowness, or network bandwidth constraints. IT applications run on servers and if the server is not sized correctly or is under-performing, application performance will degrade as well.

Over the past decade, organizations have been moving to a hybrid cloud model. A hybrid cloud is a form of cloud computing where applications are deployed on a combination of public clouds and private infrastructure. With a hybrid cloud, organizations can choose the most optimal deployment strategy for their applications while maintaining control over certain aspects, such as running user-facing services from a public cloud while storing sensitive data on-premise.

In this video, we are going to take a look at what memory bloat is, and how you can use Scout to eliminate it from your applications. Memory related performance issues have the potential to bring your entire application down, and yet, most APMs completely ignore this fact and fail to provide any useful way of monitoring memory usage at all.

Application developers and application operations personnel are together responsible for ensuring that Java web applications perform well. In an earlier blog, we had discussed 7 configurations that Application Operations teams can use to make their Java applications high-performing. In this blog, we will focus on Application Developers and discuss 6 ways in which they can enhance the performance of their Java applications.

The promise of NoSample™ full-fidelity distributed tracing with unlimited cardinality exploration is that no application performance degradation will be sampled away. This ensures that executions, which exemplify problems related to latency and/or errors will be retained for further inspection and analysis. Additional value can be extracted from trace data by determining when such investigations should occur, in other words, by identifying spikes and anomalies in endpoint latency or error rate.