Now that we have a basic understanding of a DiagnosticListener we can use this in a simple hosted service that uses a special property called AllListeners. Read more: Consuming Data with DiagnosticListeners / Microsoft Docs The DiagnosticsHostedService For our use case, we will listen to a single DiagnosticSource with multiple observers, for testability. They are multi-cast in nature, meaning that multiple listeners can listen to the same event without any issues. The events are sent from a DiagnosticSource that sends us a rich payload that’s designed for consumption within the current process. I’ve included here in the article for completeness, although this is an an optional step so log as you register your new DiagnosticListener observer via DiagnosticListener.AllListeners then you should be fine.Ī DiagnosticListener allows us to listen for events that are published in our application, either by a third party or ourselves, for the purposes of diagnostics. Our DiagnosticsHostedService will help us manage the lifetime of our observers. As this is already a lengthy article, I’ve not included the tests here. If you do not need this level of extensiblity or testability, it should be relatively easy to merge some of the classes together. Another aim is to give the classes a single purpose to add with testability. The classes that I’ve added to this article are designed to give you the most flexiblity around how you extend your applications in future, including the next article. Create metrics from the context of the request/response.Create a observer to listen for the end of an outbound request.Create a observer to listen for the start of an outbound request.Create a service that hooks onto DiagnosticListeners as they get created.Here are the steps that we need to complete: Our implementation is going to use a number of technologies combined to get the information that we require about the web request. In this article, we will take a look at how we can capture all outbound HTTP requests automatically as they occur. Net Core series, we’ve taken a look at the basics of how to use the Event Counters API. Throughout the course of my Diagnostics in. More information on the programme and the associated research project are provided on the website of the priority programme.This post is part of the Diagnostics in. The priority programme includes projects targeting information systems and embedded systems. The priority programme comprises and coordinates research projects in the domain of long living software systems focusing on approaches and methods to improve adaptation and evolution of software systems. The iObserve project is part of the DFG Priority Programme 1593 – Design for future: managed software evolution. To demonstrate the feasibility and potential benefits gained and for providing feedback to guide the research, the results will be continuously evaluated using an established research benchmark (CoCoME). It will extend and integrate previous work on adaptive monitoring, online testing and benchmarking and will use as means to adjust the observation and anomaly detection techniques during system operation. The aim of the iObserve project is to develop and validate advanced techniques which empower the system engineers to observe and detect anomalies of the execution of software systems they do not fully own and control. If the services and the cloud platform are not owned and controlled by the engineers of the software systems, monitoring the execution of the software system is not straightforward. Traditional monitoring provides software engineers and system operators with execution observation data which are used as basis to detect anomalies. Software engineers and system operators of long-living software systems only have limited visibility and control over those third-party elements. Software services and cloud platforms are owned and maintained by independent parties. The increased adoption of service-oriented technologies and cloud computing creates new challenges for the adaptation and evolution of long-living software systems.
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