Announcing New Tools for Building with Generative AI on AWS | Amazon Web Services
Artificial Intelligence Announcing New Tools for Building with Generative AI on AWS The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI appli
GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API. Adfin - The only platform you need to get paid - all payments in one place, in
Better together: AWS SAM and AWS CDK | Amazon Web Services
AWS Compute Blog Better together: AWS SAM and AWS CDK Today AWS is announcing the public preview of AWS Serverless Application Model CLI (AWS SAM CLI) support for local development and testing of AWS Cloud Development Kit (AWS CDK) projects. AWS SAM and AWS CDK are both open-source frameworks for building applications using infrastructure as code (IaC). AWS SAM is template-based using JSON or YAML
Introducing AWS Lambda response streaming | Amazon Web Services
AWS Compute Blog Introducing AWS Lambda response streaming Today, AWS Lambda is announcing support for response payload streaming. Response streaming is a new invocation pattern that lets functions progressively stream response payloads back to clients. You can use Lambda response payload streaming to send response data to callers as it becomes available. This can improve performance for web and m
Gamedev in Lisp. Part 1: ECS and Metalinguistic Abstraction - cl-fast-ecs by Andrew
Gamedev in Lisp. Part 1: ECS and Metalinguistic Abstraction In this series of tutorials, we will delve into creating simple 2D games in Common Lisp. The result of the first part will be a development environment setup and a basic simulation displaying a 2D scene with a large number of physical objects. It is assumed that the reader is familiar with some high-level programming language, has a gener
AWS Lambda standardizes billing for INIT Phase | Amazon Web Services
AWS Compute Blog AWS Lambda standardizes billing for INIT Phase Effective August 1, 2025, AWS will standardize billing for the initialization (INIT) phase across all AWS Lambda function configurations. This change specifically affects on-demand invocations of Lambda functions packaged as ZIP files that use managed runtimes, for which the INIT phase duration was previously unbilled. This update sta
Over the course of my Spring 2020 semester at Harvey Mudd College, I developed a self-hosting compiler entirely from scratch. This article walks through many interesting parts of the project. It’s laid out so you can just read from beginning to end, but if you’re more interested in a particular topic, feel free to jump there. Or, take a look at the project on GitHub. Table of contents What the pro
*if you include word2vec. Chris and I spent a couple hours the other day creating a search engine for my blog from “scratch”. Mostly he walked me through it because I only vaguely knew what word2vec was before this experiment. The search engine we made is built on word embeddings. This refers to some function that takes a word and maps it onto N-dimensional space (in this case, N=300) where each d
Kubeflow PipelinesからVertex Pipelinesへの移行による運用コスト削減 - ZOZO TECH BLOG
こんにちは、技術本部 データシステム部 MLOpsブロックの平田（@TrsNium）です。約2年半ぶりの執筆となる今回の記事では、MLOps向け基盤を「Kubeflow Pipelines」から「Vertex Pieplines」へ移行して運用コストを削減した取り組みを紹介します。 目次 目次 はじめに Vertex Pipelinesとは Vertex Pipelinesへの移行 Vertex Pipelinesへ移行するワークフロー 1. ワークフローのKubeflow Pipelines SDK V2への移行 コンパイラのデータ型の制約が厳しくなった ContainerOp APIが非推奨になった Kubeflow PipelinesのPlaceholderを使用できなくなった 2. スケジュール実行されているワークフローへ前回実行分が終わるまでの待機処理を追加 3. Vertex
はじめに PythonでHTTPリクエストを大量に非同期で投げる方法を探していました。requestモジュールはどうも対応していない様子なので、aiohttpを使うしかないのか…？と諦めていたところ、どうやらHTTPXが良さそうなので、試してみました。 What's HTTPX? HTTPXはDjango REST frameworkや、Starlette、Uvicornと同様に管理しているEncode社が管理しているプロダクトのようです。 HTTPX is a fully featured HTTP client library for Python 3. It includes an integrated command line client, has support for both HTTP/1.1 and HTTP/2, and provides both sync and a
Announcing Amazon CodeCatalyst, a Unified Software Development Service (Preview) | Amazon Web Services
AWS News Blog Announcing Amazon CodeCatalyst, a Unified Software Development Service (Preview) Today, we announced the preview release of Amazon CodeCatalyst. A unified software development and delivery service, Amazon CodeCatalyst enables software development teams to quickly and easily plan, develop, collaborate on, build, and deliver applications on AWS, reducing friction throughout the develop
PowerShell: the object-oriented shell you didn’t know you needed
PowerShell is an interactive shell and scripting language from Microsoft. It’s object-oriented — and that’s not just a buzzword, that’s a big difference to how the standard Unix shells work. And it is actually usable as an interactive shell. Getting Started PowerShell is so nice, Microsoft made it twice. Specifically, there concurrently exist two products named PowerShell: Windows PowerShell (5.1)
Introducing the AWS Integrated Application Test Kit (IATK) | Amazon Web Services
AWS Compute Blog Introducing the AWS Integrated Application Test Kit (IATK) This post is written by Dan Fox, Principal Specialist Solutions Architect, and Brian Krygsman, Senior Solutions Architect. Today, AWS announced the public preview launch of the AWS Integrated Application Test Kit (IATK). AWS IATK is a software library that helps you write automated tests for cloud-based applications. This
chatGPT-4に「ウェブスクレイピング→情報をPDF保存の自動化ツール開発」で作ってと頼んだら・・・コード１行も書かずに出来た😅｜hantani
chatGPT-4に「ウェブスクレイピング→情報をPDF保存の自動化ツール開発」で作ってと頼んだら・・・コード１行も書かずに出来た😅 ある所で、「ウェブスクレイピング→情報をPDF保存の自動化ツール開発」は案件定義で３日かかりますよと書いてありました。 chatGPT-4使ったらどうなるんだろうと思ってやってみました。 結論をいうと「余裕で案件定義もプログラムもコードを一行も書かずに出来ました」 以下、「Q.」が質問（プロンプト）です。「A.」がchatGPT-4からの回答です。 プロンプタ(魔術師)とchatGPTとのリアルなやり取りです。長いですよ😅 Q.あなたはプログラマです。ウェブスクレイピング→情報をPDF保存の自動化ツール開発はどのような案件がひつようでしょうか？ A.ウェブスクレイピングと情報をPDF保存の自動化ツールを開発するには、以下の要件が必要です。 プロジェクトの
Idempotency-Key Headerの現状・仕様・実装の理解を助けるリソースまとめ - valid,invalid
Idempotency-Key Header に関する調査と実装を半年ぐらい前に行ったので、そのとき参考にしたリソースと 2021 年 9 月時点で得られる最新情報をメモしておく。 前提: Idempotency-Key Header とは HTTP リクエストのうち冪等ではないとされるリクエスト*1を冪等にし、安全なリトライを可能にするための仕組みの 1 つ。 Jayadeba Jena, Sanjay Dalal, Erik Wilde 氏らによって 2021 年 11 月に仕様が提案された。現在は IETF のもと、インターネット標準化過程（Standard Track）にあり、IETF Meeting や GitHub issues にて議論が行われている。real world ではすでに多くの企業で類似する実装が行われている。 現状と今後 GitHub issues を見る限り論
技術開発部で主にバックエンド開発をしている浜田(@hamchance0215)です。 現在開発中のプロダクトのバックエンドはRails + graphql-rubyを使っています。 GraphQLを使った際のデメリットとしてN+1が発生しやすいということがよく言われます。 弊社でも例外ではなく、随所でN+1が発生していました。 今まではフロントエンドからの使われ方を考慮して、サクッと実装できる先読み(preload等)でN+1を回避していたのですが、クエリー数が増加したことでクエリーごとに使われ方を把握するのは難しくなってきたのと、同じクエリーであったとしても使われ方が多様化して先読みでは非効率になることが懸念されました(先読みが非効率になる件は後述します)。 そこで重い腰をあげて、遅延ロードを導入するために調査を行うことにしました。 ※この記事は執筆時点(2021/06)の情報で記載され
This article is a translation, the original version is available here. I started using the OCaml language regularly around 2012, and since then, my interest and enthusiasm for this language have only grown. It has become my preferred choice for almost all my personal projects, and it has also influenced my professional choices. Since 2014, I have been actively participating in public conferences d
Awesome Terraform | Curated list of awesome lists | Project-Awesome.org
A curated list of resources on HashiCorp's Terraform. Your contributions are welcome! Terraform enables you to safely and predictably create, change, and improve production infrastructure. It is an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. Contents Legend Official Resources Com
Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y
Pulumi at NearMe: Embracing True Infrastructure as Code - NearMe Tech Blog
Introduction Infrastructure as Code (IaC) has revolutionized how organizations manage their cloud infrastructure, and at NearMe, our journey led us to choose Pulumi as our primary IaC tool. This article explores how Pulumi's unique approach to infrastructure management has transformed our Platform Engineering practices, enhanced developer productivity, and improved our infrastructure reliability.
はじめに AWS SAMを試すため、LocalStackへデプロイしようとしたら、通常のsamコマンドでは、おそらくデプロイ先のエンドポイントURLを変更できないため、LocalStackへデプロイできませんでした。 そこで、LocalStackが提供するsamlocalコマンドを使用するとデプロイできました。 また、ローカル環境をあまり汚したくなかったため、Docker (+ Docker Compose) のみで試しております。 この記事は以上のことについて、備忘録としてまとめたものです。 前提条件 DockerとDocker Composeがインストールされていること。 やってみた LocalStackを起動させておく $ git clone https://github.com/localstack/localstack.git Cloning into 'localstack'.
New – Use Amazon S3 Object Lambda with Amazon CloudFront to Tailor Content for End Users | Amazon Web Services
AWS News Blog New – Use Amazon S3 Object Lambda with Amazon CloudFront to Tailor Content for End Users With S3 Object Lambda, you can use your own code to process data retrieved from Amazon S3 as it is returned to an application. Over time, we added new capabilities to S3 Object Lambda, like the ability to add your own code to S3 HEAD and LIST API requests, in addition to the support for S3 GET re
Temporal Python SDK: A Durable, Distributed Asyncio Event Loop We are excited about the GA release of the Temporal Python SDK. Python is now a fully-supported workflow language in Temporal, and our use of native asyncio constructs makes it a perfect fit for Python developers looking to write durable workflows. Here are some links to read more about Temporal Python: Repository Application Developme
Raising code quality for Python applications using Amazon CodeGuru | Amazon Web Services
AWS DevOps & Developer Productivity Blog Raising code quality for Python applications using Amazon CodeGuru We are pleased to announce the launch of Python support for Amazon CodeGuru, a service for automated code reviews and application performance recommendations. CodeGuru is powered by program analysis and machine learning, and trained on best practices and hard-learned lessons across millions
AWS Compute Blog Serverless ICYMI Q1 2023 February 12, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Welcome to the 21st edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all the most recent product launches, feature enhancements, blog posts, webinars, live streams, and oth
A History of Clojure
71 A History of Clojure RICH HICKEY, Cognitect, Inc., USA Shepherd: Mira Mezini, Technische Universität Darmstadt, Germany Clojure was designed to be a general-purpose, practical functional language, suitable for use by professionals wherever its host language, e.g., Java, would be. Initially designed in 2005 and released in 2007, Clojure is a dialect of Lisp, but is not a direct descendant of any
Amazon Bedrock AgentCoreのRuntime、Built-in Tools、Gatewayを実装して試してみる - NRIネットコムBlog
本記事は AWSアワード受賞者祭り 8日目の記事です。 ✨🏆 7日目 ▶▶ 本記事 ▶▶ 9日目 🏆✨ はじめに 1. AgentCore Runtime 主な特徴 ローカルで実行してみる AWSへのデプロイ 2. AgentCore Built-in Tools 主な特徴 ツール単体で実行してみる コード 実行結果 ライブラリの確認 AgentCore Runtimeから使ってみる コード 出力結果 3. AgentCore Gateway 主な特徴 LambdaからGatewayを作成する Lambda関数の作成 コード Gatewayの作成 Strands Agentsから使ってみる コード 実行結果 おわりに はじめに AWS Summit New York City 2025で、Bedrock AgentCoreというサービスが発表されました。 aws.amazon.com
OpenTelemetry Tracing in 200 lines of code | Jeremy Morrell
Developers tend to treat tracing as deep magic, and OpenTelemetry is no exception. OpenTelemetry may be even more mysterious given how many concepts your are exposed to even with beginning examples. <a href="#footnote-1" id="footnote-ref-1" data-footnote-ref="true" aria-describedby="footnote-label"><code>[1]</code></a> It also doesn't help that as part of building a mature, battle-tested tracing l
"The closer to the train station, the worse the kebab" - A "Study" - James Pae
This write-up was originally posted on reddit, though I've cleaned things up specifically for this post. Due to reasons discussed towards the end of this post, I'm not entirely happy with the results and intend to take another shot at it in the near future. Introduction🔗 I came across this post sharing a hypothesis from a French subreddit; The closer to the train station, the worse the kebab. The
Using streaming ingestion with Amazon SageMaker Feature Store to make ML-backed decisions in near-real time | Amazon Web Services
For this post, we train an ML model to spot this kind of behavior by engineering features that describe an individual card’s spending pattern, such as the number of transactions or the average transaction amount from that card in a certain time window. This model protects cardholders from fraud at the point of sale by detecting and blocking suspicious transactions before the payment can complete.
Parsing in GoLet’s examine how Go parses JSON, XML, and YAML. Go’s standard library provides JSON and XML parsers but not a YAML parser, for which there are several third-party alternatives. For our analysis, we’ll focus on: encoding/json version go1.24.1encoding/xml version go1.24.1yaml.v3 version 3.0.1 (the most popular third-party Go YAML library)We’ll use JSON in our following examples, but al
[Simon Tatham, initial version 2023-09-01, last updated 2025-03-25] [Coroutines trilogy: C preprocessor | C++20 native | general philosophy ] Introduction Why I’m so enthusiastic about coroutines The objective view: what makes them useful? Versus explicit state machines Versus conventional threads The subjective view: why do I like them so much? “Teach the student when the student is ready” They s
MLOps foundation roadmap for enterprises with Amazon SageMaker | Amazon Web Services
Artificial Intelligence MLOps foundation roadmap for enterprises with Amazon SageMaker As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. To overcome this, enterprises needs to shape a clear operating model defining how multiple personas, such as data scientist
Monitoring network traffic in AWS Lambda functions | Amazon Web Services
AWS Compute Blog Monitoring network traffic in AWS Lambda functions Network monitoring provides essential visibility into cloud application traffic patterns across large organizations. It enables security and compliance teams to detect anomalies and maintain compliance, while allowing development teams to troubleshoot issues, optimize performance, and track costs in multi-tenant software as a serv
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Kalyn: a self-hosting compiler for x86-64
A simple search engine from scratch*
Pythonで使える！非同期対応のRequestsモジュールとしてのHTTPX
graphql-rubyのN+1を遅延ロードで解決する | VISITS TechBlog
xvw.lol - Why I chose OCaml as my primary language
What's New in Emacs 28.1?
DockerだけでAWS SAMをLocalStackにデプロイしてみた - Qiita
Temporal Python SDK | Durable Asyncio Event Loop
Serverless ICYMI Q1 2023 | Amazon Web Services
Unexpected security footguns in Go's parsers
Philosophy of coroutines