Skip to main content

Web application end - how to determine why has stopped

Sa spunem ca avem o aplicatie web care se afla pe IIS. Observam ca aplicatia uneori moare si nu reusimg sa ne dam seama din ce cauza. Din anumite motive "exceptia" care se intampla in aplicatie nu poate sa fie prinsa si aplicația moare fără sa logeze nici o informație. De ce spun "exceptie", deoarece uneori poate sa fie vorba de un pool recycle care sa genereze acest comportament( cauza nu este mereu o exceptie in adevaratul sens al cuvântului).
Ce putem face? O solutie este ca in Global.asax.cs, in metoda Application_End sa obtinem date despre motivul pentru care aplicatie se termina si sa scriem aceste date in trace sau sa le logam undeva. Aceasta metoda o sa fie apelata de fiecare data cand aplicatia este oprita. Din pacate informatiile pentru care aplicatia este oprita se pot obtine doar prin intermedul reflection. Nu avem o alta modalitate sa obtinem aceste date. Daca aplicatia primeste un semnal din exterior ca trebuie sa se opreasca metoda Application_Error nu o sa fie apelata.
Mai jos gasiti un exemplu de implementare a metodei Application_End:
 public void Application_End()
        {
            HttpRuntime runtime = (HttpRuntime)typeof(System.Web.HttpRuntime).InvokeMember("_theRuntime",
                                                                                             BindingFlags.NonPublic | BindingFlags.Static | BindingFlags.GetField,
                                                                                             null, null, null);
            if (runtime == null)
            {
                return;
            }

            string message = (string)runtime.GetType().InvokeMember("_shutDownMessage",
                                                                                 BindingFlags.NonPublic | BindingFlags.Instance | BindingFlags.GetField,
                                                                                 null, runtime, null);

            string stackTrace = (string)runtime.GetType().InvokeMember("_shutDownStack",
                                                                           BindingFlags.NonPublic | BindingFlags.Instance | BindingFlags.GetField,
                                                                           null, runtime, null);

            Trace.WriteLine(string.Format("Application_End: {0} {1}", message, stackTrace));

        }
Enjoy!

Comments

  1. Un mic dezavantaj : datorita folosirii reflection pentru a citi membrii privati/protejati, codul de mai sus nu va rula in medium trust.

    ReplyDelete
    Replies
    1. Sticumva o alta solutie la aceasta problema fara sa folosim reflection?

      Delete

Post a Comment

Popular posts from this blog

Why Database Modernization Matters for AI

  When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...

How to audit an Azure Cosmos DB

In this post, we will talk about how we can audit an Azure Cosmos DB database. Before jumping into the problem let us define the business requirement: As an Administrator I want to be able to audit all changes that were done to specific collection inside my Azure Cosmos DB. The requirement is simple, but can be a little tricky to implement fully. First of all when you are using Azure Cosmos DB or any other storage solution there are 99% odds that you’ll have more than one system that writes data to it. This means that you have or not have control on the systems that are doing any create/update/delete operations. Solution 1: Diagnostic Logs Cosmos DB allows us activate diagnostics logs and stream the output a storage account for achieving to other systems like Event Hub or Log Analytics. This would allow us to have information related to who, when, what, response code and how the access operation to our Cosmos DB was done. Beside this there is a field that specifies what was th...

Azure Well-Architected AI workload Assessment

  AI is everywhere, part of the IT solutions we build and run today. Having an AI service, a good model, and data is not enough. As for cloud, the real difference is how we build, manage and run the whole solution. Microsoft created the Azure Well-Architected Framework for AI Workloads exactly for this reason — to help teams design AI systems that are reliable, secure, and cost-efficient. The assessment has six main categories that we cover in the next section. Based on the results, we can gain a good understanding of the current AI workload estate and a list of actions to improve how you run and manage your AI workloads . Designing the AI Application The first step in building your AI application is to consider how you will structure it. Using containers for tasks like data processing or model inference helps maintain consistency across the system. This approach makes it easier to update, move, and manage different components. When you have multiple steps in your workflow, such as...