The Blob is a 1958 American science fiction horror film directed by Irvin Yeaworth, and written by Kay Linaker and Theodore Simonson. The film stars Steven McQueen (in his starring feature film debut, as Steve Andrews) and Aneta Corsaut and co-stars Earl Rowe and Olin Howland.
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Zillow moved its Zestimate framework to AWS, giving it the speed and scale to deliver home valuations in near-real time. The more dynamic valuations better reflect both the unique features of each home and what's happening in the local housing market, so customers have the latest data as they explore the buying or selling process. It is approximately 2.5cm across, it really is a little blob! It is made from recycled acrylic. There is also a matching postcard, bookmark, enamel pin, stickers and keyring available. An infinite calm mac os. Please send me a message if you would like more magnets than are listed as available.
In a previous post, I wrote about using GitHub Actions to automate the promotion of my blog posts. While the GitHub Action works, the approach lacks any sense of state and tracking. The tweets that promote my posts are random, and that can create an uneven marketing approach.
I want to give Azure Functions a try, along with the Azure Toolkit for Rider. In this post, we'll see how we can use JetBrains Rider to do local Azure Functions development with JetBrains Rider. We'll also cover one of the most significant issues for macOS developers and how to overcome the problem.
Azure Toolkit for JetBrains Rider
Let's assume we already have the latest version of JetBrains Rider installed on our development machine. If not, do it now!
The first step is to install the Azure Toolkit for Rider. From the Welcome To JetBrains Rider dialog, we need to click ⚙ Configure | Plugins, which will bring up the plugins search dialog.
In the Plugins dialog, we'll need to search for 'Azure Toolkit,' which will show us the result for Azure Toolkit for Rider. Install the plugin.
Once we install the plugin, we'll need to install the Azure Functions Core Tools. Rider makes this easy. Back on the Welcome To JetBrains Rider dialog, we can click ⚙ Configure | Preferences. In the Preferences dialog, we can find the settings for Azure Functions under Tools > Azure > Functions.
In the settings for Azure Functions, we'll need to set the Azure Functions Core Tools path. If you don't have the tools already installed, Rider will download and install the tools for you.
We should be ready to start programming our first Azure Function using Rider. Running the function is a different story entirely.
Azurite - Azure Storage Emulator
Azure Functions support multiple trigger types: Fish plant tycoon mac os.
- Queue
- Timer
- Event Grid
- HTTP
Every trigger except for HTTP requires a storage mechanism. That storage mechanism is Azure Blob Storage. We could use an Azure Blob Storage instance in the cloud, but that would be costly and would force us to be online during all of our development.
Instead, we are going to use Azurite and Docker to run a local emulator that runs on macOS. You will need to install Docker Desktop.. It is highly recommended we use docker-compose for this, as it ensures we have one instance of the storage emulator.
In a file named docker-compose.yml, copy and paste the following YAML.
Once saved, we need to run the following command from the same directory as the saved docker-compose.yml file.
The command will download the latest version of Azurite and run the container in the background. We can see that in the Docker Desktop dashboard.
Our First Azure Functions
Now that we have our environment set up, we are ready to write some Azure Functions. We can start by creating a New Solution and selecting the Azure Functions template found in the left pane.
If we've never created an Azure Functions project, the result may be a little confusing. It's an empty solution.
We need to right-click the project and select a function type. In this example, we'll choose Add > Timer Trigger.
We need to give our new function a name. Let's call it Test. We should have a new function in our project.
We'll see that our function has an Azure Functions lightning bolt in the left-hand gutter. We can use this to trigger our function.
Before we run the function, let's change the timer to run every five seconds by changing the CRON expression to */5 * * * * *. The change in the interval will make it easier to see our function working. Running the function, we can now see the results in our run window.
WARNING: macOS users, if you are seeing 'The listener for function 'Test' was unable to start.' then you are likely not running the storage emulator. Follow the storage emulator install steps above. Azurite also works for Windows and Linux users.
JetBrains Rider Loves Azure Functions
Some other features Azure Function developers will appreciate can be found in the lightning bolt beside the function.
The first feature is debugging. The IDE can debug our functions as if they were any other .NET application.
An impressive feature is the Trigger creator, which will generate an HTTP scratch file for any specific function. The scratch file is especially helpful in triggering code without the need to have a queue item, time, or other dependency trigger our function.
From the new scratch window, we can trigger each HTTP request.
We'll see the following console output after running the function via the admin endpoint.
Finally, Rider can deploy our Azure Function to our Azure accounts. By right-clicking our project, we can choose to Publish.
Cool right?!
Conclusion
Azure Functions can work on all platforms, but for macOS users, we'll need to take a few additional steps. Without the Azure Storage emulator, we'd be forced to do all of our development against a cloud instance of blob storage. By utilizing Azurite, we can continue to do all of our dev work locally while having all the features of Azure Functions. Using JetBrains Rider can also make the experience better with tool installation, running, debugging, and publishing.
Sdfsdf mac os. I hope you found this post enlightening, and please leave a comment.
Improve 3D Print Quality by Preventing Those Pesky Blobs!
Conclusion
Azure Functions can work on all platforms, but for macOS users, we'll need to take a few additional steps. Without the Azure Storage emulator, we'd be forced to do all of our development against a cloud instance of blob storage. By utilizing Azurite, we can continue to do all of our dev work locally while having all the features of Azure Functions. Using JetBrains Rider can also make the experience better with tool installation, running, debugging, and publishing.
Sdfsdf mac os. I hope you found this post enlightening, and please leave a comment.
Improve 3D Print Quality by Preventing Those Pesky Blobs!
You've waited hours for your 3D print to finish. Finally, the extruder stops, the print bed lowers, and the moment of truth has arrived. At first glance, the print looks perfect. But wait, what the heck? Are those blobs on the surface of the part?
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We've all felt that sinking feeling that comes with seeing blobs marring our 3D prints. Small surface imperfections, also called 'zits,' are especially annoying when they appear on an otherwise perfect print. These blobs can occur because the extruder frequently starts and stops as it moves around during a print. The blobs represent the location where the extruder started printing a section of the outer shell of your model, then eventually returned to the same spot once it was done printing that perimeter. Joining two sections of plastic without leaving any sort of mark is not easy, but there are ways to help prevent those pesky blobs from appearing on the surface of your print. We cover them in detail in the Print Quality Troubleshooting Guide, but here's a quick look at what might be causing surface defects.
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Too much plastic
Before you can attempt to reduce blobs, it's important to know where they are occurring. Watch your print in progress. Do blobs happen as the perimeter starts printing, or at the end of that layer as the extruder comes to a halt? If the blobs happen right at the beginning of the perimeter, it is possible the extruder is priming too much plastic. To counteract this, try adjusting your retraction settings to add a negative extra restart distance. For instance, if your retraction distance is 2.0mm, and you add an extra restart distance of -0.4mm, every time the extruder stops, it will retract 2.0mm of filament. But when it starts again, it will only push 1.6mm of filament back into the nozzle. Tweak this number until the blobs stop appearing. Detailed instructions on how to do this can be found in the Print Quality Troubleshooting Guide.
Built-up pressure inside the extruder
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Blobs can occur when the built-up pressure inside the extruder nozzle pushes out more plastic than intended. If you notice that the blob is happening as the extruder finishes printing a perimeter, you may want to adjust a setting called 'coasting.' This setting relieves some of the built-up pressure within the extruder by turning it off just before the end of the perimeter. Try turning this feature on and increasing the value until the blob no longer appears. Here are comprehensive instructions on how to adjust coasting.
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Looking for even more ways to prevent 3D printing defects and improve quality? Visit the Print Quality Troubleshooting Guide for more solutions.
