Node News Sunday, March 11 Aws lambda, Aws lambda functions, Express server & more…
Node News TLDR / Table of Contents
- Comparing AWS Lambda performance of Node.js, Python, Java, C# and Go
- AWS recently announced their support for both C# (Net Core 2.0) and Go programming languages for Lambda functions. As an engineer who maintained serverless-golang, I was curious to learn how the…
- AWS Lambda, AWS Lambda functions, performance, AWS Lambda users, AWS Lambda platform
- Asynchronous File Upload with Node and React –
- If you’re new to web development, uploading files might seem like an uphill task. But in reality, it’s just making another AJAX API call. Unless you are asked to optimize the media file from the…
- express server, file, handling AJAX file, file upload, AJAX file upload
- Using TOML Config Files in Your Node.js Applications •
- toml, San Diego, configuration data degreeType, Weather configuration data, TOML configuration
- AWS recently announced their support for both C# (Net Core 2.0) and Go programming languages for Lambda functions.
- Similar to the original performance tests, well ignore the initial cold start timeand focus only on the duration metric to compare runtime performance between the different languages.
- The script executes a load test across all twelve APIs over a one-hour period: – Observation 1.Net Core 2.0 significantly outperformsBoth C# and F# on.Net Core 2.0 exceeds all expectations and outperforms all other runtimes in average duration.
- Observing the average durations on the graph, both C# and F# on.Net Core 2.0 are consistently lower than other runtimes throughout the 1-hour period: – Average Duration of C# on.Net Core2.0Observation 2Go performance is comparable toJavaThe runtime performance of Go is very similar to Javawith slightly less variance.
- xObservation 3Consistent performance of compiled vsdynamicIn the original 2017 benchmark results, the compiled languages of Java and.Net Core 1.0 were clearly more consistent compared to the dynamic languagesPython and Node.js.
- In this tutorial, I will talk about handling AJAX file uploads from a React front-end because React is one of the most popular view library at the moment.
- They are – corsto make cross origin requestsnodemonto watch over the files for changesexpress-fileuploadto make the file upload easier.npm install –save cors – npm install –save express-fileupload – npm install -g nodemon – nodemon app.jsHere is the modified version of app.js.
- /div/DropzoneYoud need to write a onDrop method that handles the logic for updating the state or making the AJAX file upload call in the background.
- Traditional File Upload UsingFormsThe traditional file uploader uses an input control element with type=file and optionally, the FormData interface.
- You will need to include an axios call in the server-side code: – Cloudinary, for instance has its own library to make the file upload in a breeze.
- Lets jump right in and consider a sample TOML configuration file for retrieving weather data: – – Comments begin with a pound sign (#) as shown in line 1.
- Lets expand our TOML file to include a section for cities: – – We could also express our array on one line like this: – – As mentioned previously, I prefer multiline arrays so that individual array elements can be more easily commented out temporarily without impacting the rest of…
- Lets update our TOML configuration file to include a list of fields to return from the Weather service: – – We create a second multiline array for , and then we can modify our code to retrieve the field values for each city: – – Excellent!
- Well start by updating the TOML configuration file: – – In line 10, we are now using a table called instead of an array.
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