Skip to main content

WCF walk through

    Finally, got example that intriguing~

    When I create client/server between Linux servers, it was not so complected... Opened a port, bind address, and then listen. Or prepared information that server were listening, and retrieved the result back. Under current Windows framework, so much information required. And how come I never successfully built startup projects provided by docs.Microsoft ....?

   Many environment related issues happened when I tried to complete this WCF project. At the end, its so pleasant~~~


Source:  Docs.microsoft.com: Tutorial: Get started with Windows Communication Foundation applications

I would say this example was designed carefully. The instructions is set to be clear and simple. Naming convention may make attributes ambiguous, and the tutorial designer carefully make minor differences. I encounter many issues and finally decided not to change a word in code, making it easier to distinguish whether it was loss-thread on naming  or environment problems. After successfully built, the code is rather clear that how the names work and what is irrelevant.

ex. <base address><<add baseAddress> could be whatever the programmer want. Only the client should comply. Corresponding functionality are defined at <service name>  and <endpoint contract>



Service name that client called is the deriving class. The contract set up is the interface.



MS server is just to complicated, communication is count as library, and need a host application to activate it. Undeniably, MS server is powerful to big enterprises, according to what I see during my IT career, Some business entities using Xnix or Mac OS in general, but using MS servers.


Client side code. Reliable service deserves hard work~




Comments

Post a Comment

Popular posts from this blog

Guide to Preserving HuggingFace Models in Google Colab Environments

Conclusion:  Step 1:  find the model path: ls ~/.cache  Step 2:  Copy the entire folder to Google Drive:  Step 3:  Set model path to the subfolder under snapshot: My Story: I initially began exploring Generative AI (GAI) and Google Colab through Stable Diffusion. In the past, as I mainly wrote server services and console applications, I was less familiar with data science modes like R and Jupyter that can maintain a paused state. I didn't quite understand the heavy burden on Colab of creating a temporary Stable Diffusion WebUI with .ipynb, as suggested by popular guides. I just found it troublesome that connections often took a long time and then dropped, requiring a restart. Recently, while testing new versions of the Stable Diffusion model, and facing challenges due to Colab's policies making various versions of WebUI difficult to run successfully, I started researching how to write my own test programs in Colab. Eventually, I understood that Colab is ess...
Post a Comment
Read more

docker: storage and services

Docker Volume Without going through Docker, accessing files within a Docker image is not easy. Therefore, Docker has a volume feature that allows users to specify the location on the host file system to serve as the access directory for Docker. In other words, a volume is the NFS of a Docker image. Example: Using a volume to store SQLite files. ref:  SQLite for NodeJS: https://www.sqlitetutorial.net/sqlite-nodejs/ Initialize the project. # Setup ExpressJS framework express --view=pug 240324_ejs_sqlite_docker npm init npm install express npm install sqlite3 Test: npm start Initialize docker  Since the directory already contains NodeJS, the Docker Daemon will assist in the setup. Create new docker image docker build -t atfuture7/sqlite01 . Create a folder for Docker, create a container, run it.  mkdir docker_vol docker run -p 3000:3000 -v ./docker_vol:/data --name exp_sqlite atfuture7/sqlite01 After confirming that the container can run co...
3 comments
Read more

Bookmark service (MongoDB & Spring REST)

Completed a working version of Bookmark service. Feeling great~~ ha! ha! Finding something to practice is an efficient way of learning. The project concept is redesigned from a MongoDB project. Weeks ago, I was learning MongoDB and NodeJS. Mixing everything together is my hobby. There might be conflictions, but putting all strengths together has higher potential to resolve difficult and complex problems. Elites getting together might sometimes not be easy, I mean technology, of course. Nice things deserve practice.  Building your first application with MongoDB: Creating a REST API using the MEAN Stack https://www.mongodb.com/blog/post/building-your-first-application-mongodb-creating-rest-api-using-mean-stack-part-1   After redesign…… is ….extremely simple…. But contains enough new topics for me to explore. I’m just a starter of Spring (and a veteran of OO and Cloud programming). Keep everything simple and fast.    I applied to cloud services (like AWS), online artist...
Post a Comment
Read more