The reason why all the domains running on Tumblr are validating fine with a single app_id, is that the facebook debug tool only checks the validity of the og_tag's structure (at least when it comes to the app_id). It does not validate if the app_id is properly associated with the given domain.
facebook app multiple app domains
The way Tumbler does this is to allow sub domains under their domain using *.example.com. This will permit all the sub-domains to work with their app (like odisharkins.example.com, facebook.example.com). There are certain aspects to adding several domains: look at the Facebook Blog.
Application domains provide a more secure and versatile unit of processing that the common language runtime can use to provide isolation between applications. You can run several application domains in a single process with the same level of isolation that would exist in separate processes, but without incurring the additional overhead of making cross-process calls or switching between processes. The ability to run multiple applications within a single process dramatically increases server scalability.
The way an assembly is loaded determines whether its just-in-time (JIT) compiled code can be shared by multiple application domains in the process, and whether the assembly can be unloaded from the process.
At any given time, every thread executes in an application domain. Zero, one, or multiple threads might be executing in any given application domain. The runtime keeps track of which threads are running in which application domains. You can locate the domain in which a thread is executing at any time by calling the Thread.GetDomain method.
Decide whether you need a new Application Domain or if you can add resources to an existing Application Domain. You can protect multiple applications using the same Agent by manually creating one Application Domain and manually adding resources and policies.
Then accessing foo.myapp.com:3000 and bar.myapp.com:3000 and clicking on facebook authenticaton, it redirected me correctly tofoo.myapp.com:3000/auth/facebook andbar.myapp.com:3000/auth/facebook respectively.
A thread is the smallest unit of execution within a process. You can have multiple application domains residing inside a single process and more than one thread inside an application domain. An application domain (commonly called AppDomains) is a logical unit of isolation that enables you to execute multiple applications within the same process while at the same time ensuring that crash of a particular application domain doesn't affect the functioning of another application domain.
Thepurpose of the ApplicationDomain class is to store a table of ActionScript3.0 definitions. All code in a SWF file is defined to exist in anapplication domain. You use application domains to partition classesthat are in the same security domain. This allows multiple definitionsof the same class to exist and also lets children reuse parent definitions.
It is possible to have one worker process per application or several applications sharing the same worker process. Both have their pros and cons. If you use the same worker process for multiple applications, it would be easy to make configuration changes. However, if many applications use the same worker process and if the worker process fails, all applications sharing the worker process will crash. On the contrary, if each application runs in its worker process, failure of one of the applications will not affect the other applications in any way.
Application domains enable multiple applications to coexist in the same process. The default application domain is created at the time when the CLR is initially loaded. If one application domain crashes or goes down, it does not interfere with the operation of another application domain.
An application domain is a lightweight process suitable for situations that require isolation without the high cost of running an app within a process. In other words, it provides a level of isolation inside the CLR allowing multiple applications to co-exist in a single process. While a process is created and managed by the operating system, an application domain is created by the CLR.
Application domain differs in the manner in which the CLR loads and executes multiple .NET applications in one single process. It does not allow direct access to the memory of loaded applications. It is managed by the CLR of the .NET Framework whereas a process is managed by the OS. The CLR provides fault isolation between application domains with less overhead than processes, due to its inherent feature of verifiable type-safety of managed code. Also, multiple threads can reside in an application domain, they are free to cross application domain boundaries.For example, ASP.NET is a runtime host that creates multiple application domains for each user accessing a web site. They can also be created and configured for applications that need to isolate code or to load extensions only while using them. This fact makes application domains useful in situations where plug-ins and other untrusted code is used. They are also useful in minimizing the working set of applications that use large DLLs.To enable communication between objects in different application domains one of the following three types of objects is used:
Azure Static Web Apps creates an automated build and deploy pipeline for your React app powered by GitHub Actions. Applications are geo-distributed by default with multiple points of presence. PR's are built automatically for staging environment previews.
An application domain is a logical container for set of assemblies in which an executable is hosted. As you have seen, a single process may contain multiple application domains, each of which is hosting a .NET executable. The first appdomain created when the CLR is initialized is called the default AppDomain and this default one is destroyed when the Windows process is terminated. Here are some specific features offered by AppDomain:
The triggering point of this article is to examine how a .NET executable image is hosted by the .NET platform. As you have seen, a single process can host multiple application domains, each of which is capable of hosting and executing any number of related assemblies.
Distributed systems are generally defined as computational artifacts or components that run into execution units placed at different physical locations, and that exchange information to achieve a common goal. A localized unit of computation in such a setup is generally assigned its own process of control (possibly composed of multiple threads), but does not execute in isolation. Instead, the process interacts and exchanges information with other such remote units using the communication infrastructure imposed by the distributed architecture, such as a computer network [32, 117, 173].
Heterogeneity and Dynamicity. One of the reasons that makes distributed systems hard to design, implement and understand is that there are typically many participants involved. Each participant imposes its own requirements ending in a variety of specifications expressed in different formats. In turn, the implementation often involves the collaboration of multiple development teams using a variety of technologies. Additionally, the size and dynamic characteristics of the execution platform of distributed systems allow many possible interleavings of the behaviors of the participating components, which leads to an inherent unpredictability of the executions. Note that the existence of a set of interleavings and the necessity to explore or reason about alternative paths in this set is due to distributed systems being concurrent systems with asynchronous communication. The inherent dynamicity of distributed systems makes this set larger and more complex, and the exploration of the set harder. Consequently, testing and verification with traditional pre-deployment methods are typically ineffective.
Monitor Decomposition, Placement, and Control. The runtime analysis carried out by monitors needs to be distributed and managed across multiple execution nodes. As argued originally in [158], and later investigated empirically in works such as [31, 66], the decomposition and placement of monitoring analysis is an important engineering decision that affects substantially the overheads incurred such as the number and size of messages, the communication delay, the spread of computation across monitors [137]. Such placement also affects the administrative domains under which event data is analyzed and may compromise confidentiality restrictions and lead to security violations that may be due to the communication needed by monitors to reach a verdict (for instance if monitors communicate partial observations or partial evaluations of the monitored properties). 2ff7e9595c
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