aws-embedded-metrics-node
TypeScript
aws-embedded-metrics-node | TypeScript | |
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7 | 1,314 | |
245 | 98,267 | |
2.0% | 0.8% | |
5.0 | 9.9 | |
about 2 months ago | 6 days ago | |
TypeScript | TypeScript | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
aws-embedded-metrics-node
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💔 Goodbye Cold Starts ❤️Hello Proactive Initialization
Lamby will now publish CloudWatch Embedded Metrics in the Lamby namespace with a custom dimension for each application's name. Captured metrics include counts for Cold Starts vs. Proactive Initializations. Here is an example running sum of 3 days of data for a large Rails application in the us-east-1 region.
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Question: How to you handle errors in your lambda ?
I was looking into CloudWatch Embedded Metrics - which is a format that converts logs into cloudwatch metrics automatically.
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Lambda Powertools TypeScript is Generally Available
Often when it comes to metrics, we think about CPU, latency and other operational metrics and AWS services usually provide those out of the box. This kind of thinking can be flawed when we end up having to use 3rd parties such as google analytics to infer critical business events. A simpler solution is to have the application emit a metric when a business event (say a customer signup) occurs. We have a few options for doing this: We can use aws-sdk, we can use the aws-embedded-metrics lib and now we can use Powertools Metrics. Which is the best? Let's see.
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Observability Best Practices when running FastAPI in a Lambda
Let's explore the next core utility in Lambda Powertools, the Metrics utility. This utility lets you easily push metrics to CloudWatch by taking care of all the necessary boilerplate. It works asynchronously by using Amazon CloudWatch Embedded Metrics Format, by logging the metrics to stdout. It also aggregates all metrics from each invocation to save on the number of calls to CloudWatch.
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How to report CloudWatch metrics without AWS SDK
To make it easier to create such an object, AWS has provided libraries for Node.js, Python, Java, and .NET. The above example using the AWS SDK can now be written as follows:
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First Look at Lambda Powertools TypeScript
Custom metrics have a pricing structure which can be expensive. Embedded Metrics Format can help manage the cost and is supported by Lambda Powertools TypeScript. Again, the docs here are pretty good, so no need for me to break it down. Instead let's look at the experience. I've added a custom metric of "collectionSuccess" to my collectionSuccess function. In my hypothetical app, some payments wind up in collections and here I'm marking whether or not the collection resulted in a payment.
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How To Debug AWS Lambda: A Detailed Overview
You can use metrics to aid debugging by adding them to your dashboards that we talked about earlier. It’s also possible to add custom metrics, and there are many libraries and tools (e.g. node, python, etc) which can help you do this.
TypeScript
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How and why do we bundle zx?
While we were fighting against the modules, we forgot one small detail - their built-in typings. Esbuild can't do this at all yet. Unbelievable, but the tsc, native TS compiler, also does not provide a typings concat feature. Got around this problem: we've introduced [a utility to combine typings](tsc-dts-fix of zx own code, and applied some monkey patches for external libdefs squashed via dts-bundle-generator.
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JSR Is Not Another Package Manager
Regular expressions are part of the language, so it's not so unreasonable that TypeScript should parse them and take their semantics into account. Indeed, TypeScript 5.5 will include [new support for syntax checking of regular expressions](https://github.com/microsoft/TypeScript/pull/55600), and presumably they'll eventually be able to solve the problem the GP highlighted on top of those foundations.
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TypeScript Essentials: Distinguishing Types with Branding
Dedicated syntax for creating unique subsets of a type that denote a particular refinement is a longstanding ask[2] - and very useful, we've experimented with implementations.[3]
I don't think it has any relation to runtime type checking at all. It's refinement types, [4] or newtypes[5] depending on the details and how you shape it.
[1] https://github.com/microsoft/TypeScript/blob/main/src/compil...
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What is an Abstract Syntax Tree in Programming?
GitHub | Website
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Smart Contract Programming Languages: sCrypt vs. Solidity
Learning Curve and Developer Tooling sCrypt is an embedded Domain Specific Language (eDSL) based on TypeScript. It is strictly a subset of TypeScript, so all sCrypt code is valid TypeScript. TypeScript is chosen as the host language because it provides an easy, familiar language (JavaScript), but with type safety. There’s an abundance of learning materials available for TypeScript and thus sCrypt, including online tutorials, courses, documentation, and community support. This makes it relatively easy for beginners to start learning. It also has a vast ecosystem with numerous libraries and frameworks (e.g., React, Angular, Vue) that can simplify development and integration with Web2 applications.
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Understanding the Difference Between Type and Interface in TypeScript
As a JavaScript or TypeScript developer, you might have come across the terms type and interface when working with complex data structures or defining custom types. While both serve similar purposes, they have distinct characteristics that influence when to use them. In this blog post, we'll delve into the differences between types and interfaces in TypeScript, providing examples to aid your understanding.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
TypeScript helps you in many ways in the context of a JavaScript app. It makes it easier to consume interfaces of any type.
- Proposal: Types as Configuration
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How to scrape Amazon products
In this guide, we'll be extracting information from Amazon product pages using the power of TypeScript in combination with the Cheerio and Crawlee libraries. We'll explore how to retrieve and extract detailed product data such as titles, prices, image URLs, and more from Amazon's vast marketplace. We'll also discuss handling potential blocking issues that may arise during the scraping process.
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Shared Tailwind Setup For Micro Frontend Application with Nx Workspace
TypeScript
What are some alternatives?
supertest - đź•· Super-agent driven library for testing node.js HTTP servers using a fluent API. Maintained for @forwardemail, @ladjs, @spamscanner, @breejs, @cabinjs, and @lassjs.
zod - TypeScript-first schema validation with static type inference
deno-lambda - A deno runtime for AWS Lambda. Deploy deno via docker, SAM, serverless, or bundle it yourself.
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
Tailwind CSS - A utility-first CSS framework for rapid UI development.
aws-embedded-metrics-dotnet - Amazon CloudWatch Embedded Metric Format Client Library
zx - A tool for writing better scripts
docker-lambda - Docker images and test runners that replicate the live AWS Lambda environment
esbuild - An extremely fast bundler for the web
aws-embedded-metrics-python - Amazon CloudWatch Embedded Metric Format Client Library
gray-matter - Smarter YAML front matter parser, used by metalsmith, Gatsby, Netlify, Assemble, mapbox-gl, phenomic, vuejs vitepress, TinaCMS, Shopify Polaris, Ant Design, Astro, hashicorp, garden, slidev, saber, sourcegraph, and many others. Simple to use, and battle tested. Parses YAML by default but can also parse JSON Front Matter, Coffee Front Matter, TOML Front Matter, and has support for custom parsers. Please follow gray-matter's author: https://github.com/jonschlinkert