Applicare 9 is a release focused on ease of use – SingleAgent, easy agent deployment and remote administration.
Applicare 9 SingleAgent includes infrastructure monitoring, web servers monitoring, java app servers monitoring, databases monitoring and logs monitoring.
We are able to remotely deploy SingleAgent with just a click for Linux platform (Windows & other platforms coming soon).
Applicare SingleAgent 9 takes away all the headaches of changing startup scripts to deploy agent. It is as simple as downloading the agent, running install and voila. Taking the example of java – after SingleAgent install, any java process coming up will automatically be monitored by Applicare without requiring any changes to the startup of that java process. It completely changes the game with respect to agent deployment and makes the process extremely simple.
Starting Tomcat after SingleAgent install on the VM
After the start Tomcat is automatically added to Applicare and starts reporting data.
“I am going through few videos of [our competitor]…And I must congratulate UI/UX Team of Arcturus Technologies for doing fabulous Applicare dashboards.”
This feedback from a happy customer encouraged us to write & publish about Applicare’s User Experience Monitoring, which is going to be amazingly useful for anyone in the industry.
The world map on the Overview tab shows the performance breakdown for each country. One can view top transactions by different criteria such as page count, average page load time etc. The chart shows the performance data over the selected time period / for a specific country selected on the world map.
Transactions Summary view displays performance statistics of transactions for the selected time period / for the selected transaction, along with the timeline chart.
Data is displayed on the Realtime Transactions tab as soon as users start accessing the application being monitored. This view not only displays the performance stats of the last n number of individual recorded transactions, but also the location and browser information of the users accessing the application. One can reach to the root cause of a slow transaction by drilling down that transaction to find slow methods / SQL queries.
Slow Transactions are determined based on the ‘Saved Slow Transactions Percentage’ specified in UEM Slow Transactions configuration. The ‘Time Distribution’ picture of any transaction helps in identifying where the slowness is, in a matter of a minute.
Browsers tab displays performance data for each client browser processing the transactions.
Servers tab displays performance data of the backend servers processing the transactions.
OS tab shows the OS used by the users of the application being monitored.
Analytics tab provides analysis of the application usage, e.g. Total visits, average page view duration, unique visitors, bounce rate etc.
Interested in trying out Applicare’s UEM? Register here now and get access to the trial version.