AppDynamics, provides an Azure Performance Monitoring Software that helps simplify the management of various complex, business-critical apps. Slow applications can neither be tolerated by IT Ops and Development teams, nor the CIO, and certainly not end users. AppDynamics helps you do away with all slow performing apps.
With AppDynamics, Windows Azure users can:
Track the performance of Windows Azure application
Tackle all problems related to performance in real time
Detect root cause of all performance problems
Scale the Windows Azure application
Windows Azure Application Mapping- Roles and Services
AppDynamics automatically identifies, maps the living topology and performance of production applications inside Windows Azure. Organizations can thus understand Azure roles, the application tiers, and service dependencies inside the Azure Cloud. They can also rapidly isolate the components responsible for slow performance or poor QoS.
End-to-End Distributed Business Transaction Tracing
AppDynamics auto-discovers business transactions that end users experience in the application. All IT Operations and development teams have the context and visibility required to manage and track the end user experience. AppDynamics allows you to follow your transactions across each application tier, Azure Role, and service (SQL Azure, Service Bus & Storage). This is made possible in a highly distributed environment, enabling you to quickly detect bottlenecks.
Appdynamics' call graphs reveal all classes & methods invoked (Inc. custom) not only the usual libraries and Microsoft interfaces, thus allowing you to detect root cause of issues in a matter seconds - and with no blind spots. With intelligent analytics to self-learn, AppDynamics baselines the normal performance of all business transactions in an application.
Auto-Scaling for Windows Azure
You can seamlessly provision more Windows Azure resources whenever your application and business transactions need it. AppDynamics also offers a policy wizard that has the capacity to auto-scale applications in Windows Azure depending on business transaction KPI such as end user response time or throughput.
No Alert Storming
Superior base-lining, thresholds and problem detection.
I was able to spend time in Tallinn at the first TopConf conference focused on DevOps. The conference had a good turnout of over 80 attendees for its first year. The list of speakers was excellent at the conference, including technology companies such as Skype and SoundCloud and thought leaders of...
There has been some discussions in emails, LinkedIn groups, and other forums on my move to AppDynamics, and calling into question impartiality at the time of researching and co-authoring the APM Magic Quadrant. The Gartner Magic Quadrant process is rigorous and backed by a large methodology which...