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  • 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. 2slides - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention. ActionKit by Paragon - Connect to 130+ SaaS inte

      GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
    • 【全2回】AWS Lambda x FastAPIによるPythonモダンAPI開発のすゝめ 2 - RAKSUL TechBlog

      はじめに 対象読者 あまり説明しないこと 前提とするバージョン 参考となるレポジトリ 3. アーキテキチャ及びディレクトリ構造 オニオンアーキテクチャを採用 オニオンアーキテクチャとは 誕生の背景 依存関係逆転の原則の活用 採用理由 参考になった記事 ディレクトリ構造 全体の構成 api schema apiとusecaseの間のデータ構造を提供する役割 schemaはパスオペレーション関数のリクエストとレスポンスの構造を提供する役割 usecase domain infrastructure core container_config exception 参考にしたもの まとめ はじめに ラクスルグループのノバセルで新卒2年目のエンジニアをしています田村(tamtam)です。 第1回では、AWS Lambda x FastAPIによるPythonモダンAPI開発を実現する上で役立つであろ

        【全2回】AWS Lambda x FastAPIによるPythonモダンAPI開発のすゝめ 2 - RAKSUL TechBlog
      • AWS Security Hub の通知を Amazon Bedrock を使ってアクショナブルにしてみた - カミナシ エンジニアブログ

        どうもセキュリティエンジニアの西川です。これがきっと私にとっての今年最後のブログです。今年の AWS re:Invent は自身の登壇があったのでほとんど楽しめませんでした。悔しいのでこうしてブログを帰ってきてからいくつか書いています。カミナシのメンバーの中で私と CTO だけは自腹で AWS re:Invent へ参加していますが、来年の飛行機もすでにとっていたりします。来年ラスベガスでお会いしましょう。 AWS re:Invent の中でもたくさんの Generative AI のセッションがありました。私自身はほとんど参加していなかったのですが、Generative AI の GameDay に出たことをきっかけに Generative AI 意外と難しくないなと思い、Security Hub の通知をアクショナブルに変えてエンジニアの誰しもが対応できるようにしてみようと思ったのが本

          AWS Security Hub の通知を Amazon Bedrock を使ってアクショナブルにしてみた - カミナシ エンジニアブログ
        • How Kubernetes Reinvented Virtual Machines (in a good sense)

          There are lots of posts trying to show how simple it is to get started with Kubernetes. But many of these posts use complicated Kubernetes jargon for that, so even those with some prior server-side knowledge might be bewildered. Let me try something different here. Instead of explaining one unfamiliar matter (how to run a web service in Kubernetes?) with another (you just need a manifest, with thr

            How Kubernetes Reinvented Virtual Machines (in a good sense)
          • AWS Cloud Control API, a Uniform API to Access AWS & Third-Party Services | Amazon Web Services

            AWS News Blog AWS Cloud Control API, a Uniform API to Access AWS & Third-Party Services Today, I am happy to announce the availability of AWS Cloud Control API a set of common application programming interfaces (APIs) that are designed to make it easy for developers to manage their AWS and third-party services. AWS delivers the broadest and deepest portfolio of cloud services. Builders leverage th

              AWS Cloud Control API, a Uniform API to Access AWS & Third-Party Services | Amazon Web Services
            • Announcing Amazon Aurora PostgreSQL serverless database creation in seconds | Amazon Web Services

              AWS News Blog Announcing Amazon Aurora PostgreSQL serverless database creation in seconds At re:Invent 2025, Colin Lazier, vice president of databases at AWS, emphasized the importance of building at the speed of an idea—enabling rapid progress from concept to running application. Customers can already create production-ready Amazon DynamoDB tables and Amazon Aurora DSQL databases in seconds. He p

                Announcing Amazon Aurora PostgreSQL serverless database creation in seconds | Amazon Web Services
              • Introducing VPC Lattice – Simplify Networking for Service-to-Service Communication (Preview) | Amazon Web Services

                AWS News Blog Introducing VPC Lattice – Simplify Networking for Service-to-Service Communication (Preview) March 31, 2023 – Amazon VPC Lattice is now generally available with new capabilities. Modern applications are built using modular and distributed components. Each component is a service that implements its own subset of functionalities. To make these services communicate with each other, you

                  Introducing VPC Lattice – Simplify Networking for Service-to-Service Communication (Preview) | Amazon Web Services
                • Anthropic Claudeで英訳したテキストをもとにStability AI Stable Diffusion XL(SDXL)で画像を生成するAmazon Bedrockの使用例 - NRIネットコムBlog

                  小西秀和です。 以前の記事でAmazon Bedrockの参考資料、モデル一覧、価格、使い方、トークンやパラメータの用語説明、Runtime APIの実行例について紹介しました。 Amazon Bedrockの基本情報とRuntime APIの実行例まとめ - 参考資料、モデルの特徴、価格、使用方法、トークンと推論パラメータの説明 今回はAnthropic Claudeで英訳したテキストをもとにStability AI Stable Diffusion XL(SDXL)で画像を生成するAmazon Bedrockの使用例を紹介します。 ※本記事および当執筆者のその他の記事で掲載されているソースコードは自主研究活動の一貫として作成したものであり、動作を保証するものではありません。使用する場合は自己責任でお願い致します。また、予告なく修正することもありますのでご了承ください。 ※本記事執筆にあ

                    Anthropic Claudeで英訳したテキストをもとにStability AI Stable Diffusion XL(SDXL)で画像を生成するAmazon Bedrockの使用例 - NRIネットコムBlog
                  • Dagster Cloud: 5X Faster Deployments

                    Using pex, Serverless Dagster Cloud now deploys 4 to 5 times faster by avoiding the overhead of building and launching Docker images. Serverless development and feedback loopsWith Serverless Dagster Cloud you can develop and deploy Dagster code without setting up either a local development environment or any cloud infrastructure. When you commit a change to GitHub, a GitHub Action builds and deplo

                      Dagster Cloud: 5X Faster Deployments
                    • Amazon Inspector Now Scans AWS Lambda Functions for Vulnerabilities | Amazon Web Services

                      AWS News Blog Amazon Inspector Now Scans AWS Lambda Functions for Vulnerabilities Amazon Inspector is a vulnerability management service that continually scans workloads across Amazon Elastic Compute Cloud (Amazon EC2) instances, container images living in Amazon Elastic Container Registry (Amazon ECR), and, starting today, AWS Lambda functions and Lambda layers. Until today, customers that wanted

                        Amazon Inspector Now Scans AWS Lambda Functions for Vulnerabilities | Amazon Web Services
                      • Accelerating serverless development with AWS SAM Accelerate | Amazon Web Services

                        AWS Compute Blog Accelerating serverless development with AWS SAM Accelerate Building a serverless application changes the way developers think about testing their code. Previously, developers would emulate the complete infrastructure locally and only commit code ready for testing. However, with serverless, local emulation can be more complex. In this post, I show you how to bypass most local emul

                          Accelerating serverless development with AWS SAM Accelerate | Amazon Web Services
                        • The Best GPUs for Deep Learning in 2023 — An In-depth Analysis

                          Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience. But what features are important if you want to buy a new GPU? GPU RAM, cores, tensor cores, caches? How to make a cost-efficient choice? This blog post will delve into these questions, tackle common misconceptions, give you an intuitive understanding

                            The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
                          • Terraform Registry に CDK for Terraform のドキュメントが追加されました! | DevelopersIO

                            こんにちは! AWS 事業本部コンサルティング部のたかくに(@takakuni_)です。 みなさん、 CDK for Terraform 使っていますでしょうか? 私は最近使い始めました。 ついに、 Terraform Registry が Multi-language provider docs に対応しました。このアップデートにより、 Terraform Registry(Terraform でリソース作る時にいつもみるドキュメント)に CDK for Terraform だったらどう書くのかが追加されました! まとめ 忙しい人向けの先にまとめです。 CDK の世界でいう L1 コンストラクトのドキュメントが追加 現在は TypeScript, Python の 2 言語のみサポート 現段階では一部リソースのみサポートされている AWS Provider の中の EC2, Lambda

                              Terraform Registry に CDK for Terraform のドキュメントが追加されました! | DevelopersIO
                            • Amazon Bedrockで英語の会話を要約してみた - NRIネットコムBlog

                              こんにちは!最近人間ドックの結果を受けて禁ラーメン生活しましたが2週間で限界がきてる志水です。人類はラーメンから逃げることなんて出来ないんだなと痛感しております。つけ麺ならいいよね? はじめに さて、ついにAmazon BedrockがGAされましたね! aws.amazon.com re:Inventでくるのかなー?来年くるのかなー?ともうちょっと先のGAを思ってたので予想外でした。 じゃあBedrockで何か作らねば!と思ったので、以前作ったOtterで書き起こされた文章をChatGPTで要約するスクリプトをBedrockで作り直してみました。 ツールの背景 AWSの大きなイベントであるre:Inventは多くの情報が英語で提供されるため、英語が苦手な方にとってはハードルが高いものとなっています。 私自身も英語が得意ではないため、リアルタイムに英語の会話を文字起こししてくれるOtter

                                Amazon Bedrockで英語の会話を要約してみた - NRIネットコムBlog
                              • Cache your CORS, for performance & profit

                                CORS is a necessity for many APIs, but basic configurations can create a huge number of extra requests, slowing down every browser API client, and sending unnecessary traffic to your backend. This can be a problem with a traditional API, but becomes a much larger issue with serverless platforms, where your billing is often directly tied to the number of requests received, so this can easily double

                                  Cache your CORS, for performance & profit
                                • Using the AWS Parameter and Secrets Lambda extension to cache parameters and secrets | Amazon Web Services

                                  AWS Compute Blog Using the AWS Parameter and Secrets Lambda extension to cache parameters and secrets This post is written by Pal Patel, Solutions Architect, and Saud ul Khalid, Sr. Cloud Support Engineer. Serverless applications often rely on AWS Systems Manager Parameter Store or AWS Secrets Manager to store configuration data, encrypted passwords, or connection details for a database or API ser

                                    Using the AWS Parameter and Secrets Lambda extension to cache parameters and secrets | Amazon Web Services
                                  • Tracing Tenant Activity for Multi-Account SaaS with AWS Distro for Open Telemetry | Amazon Web Services

                                    AWS Partner Network (APN) Blog Tracing Tenant Activity for Multi-Account SaaS with AWS Distro for Open Telemetry By Tomo Sakatoku, Principal Partner Solution Architect – AWS By Peter Yang, Sr. Partner Solution Architect – AWS SaaS Factory When developing a multi-tenant software-as-a-service (SaaS) solution, you need to ensure the solution can cater to different tenant profiles and dynamic workload

                                      Tracing Tenant Activity for Multi-Account SaaS with AWS Distro for Open Telemetry | Amazon Web Services
                                    • Using AWS CodePipeline for deploying container images to AWS Lambda Functions | Amazon Web Services

                                      AWS DevOps & Developer Productivity Blog Using AWS CodePipeline for deploying container images to AWS Lambda Functions AWS Lambda launched support for packaging and deploying functions as container images at re:Invent 2020. In the post working with Lambda layers and extensions in container images, we demonstrated packaging Lambda Functions with layers while using container images. This post will t

                                        Using AWS CodePipeline for deploying container images to AWS Lambda Functions | Amazon Web Services
                                      • 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

                                          Monitoring network traffic in AWS Lambda functions | Amazon Web Services
                                        • Effectively building AI agents on AWS Serverless | Amazon Web Services

                                          AWS Compute Blog Effectively building AI agents on AWS Serverless Imagine an AI assistant that doesn’t just respond to prompts – it reasons through goals, acts, and integrates with real-time systems. This is the promise of agentic AI. According to Gartner, by 2028 over 33% of enterprise applications will embed agentic capabilities – up from less than 1% today. While early generative AI efforts foc

                                            Effectively building AI agents on AWS Serverless | Amazon Web Services
                                          • Using the circuit-breaker pattern with AWS Lambda extensions and Amazon DynamoDB | Amazon Web Services

                                            AWS Compute Blog Using the circuit-breaker pattern with AWS Lambda extensions and Amazon DynamoDB May 2025: This post was reviewed for accuracy. Modern software systems frequently rely on remote calls to other systems across networks. When failures occur, they can cascade across multiple services causing service disruptions. One technique for mitigating this risk is the circuit breaker pattern, wh

                                              Using the circuit-breaker pattern with AWS Lambda extensions and Amazon DynamoDB | Amazon Web Services
                                            • Build secure multi-account multi-VPC connectivity for your applications with Amazon VPC Lattice | Amazon Web Services

                                              Networking & Content Delivery Build secure multi-account multi-VPC connectivity for your applications with Amazon VPC Lattice Introduction In this blog post, we will discuss how you can use Amazon VPC Lattice to connect your services securely, and monitor communication flows, in a simple and consistent way across instances, containers, and serverless, in a multi-account and multi-Virtual Private C

                                                Build secure multi-account multi-VPC connectivity for your applications with Amazon VPC Lattice | Amazon Web Services
                                              • Claude on Amazon Bedrock now available to every AWS customer | Claude by Anthropic

                                                Claude is now generally available on Amazon Bedrock, the fully managed service that provides Amazon Web Services (AWS) customers with secure cloud access to foundation models and tools for building generative AI applications. This means that every AWS customer can now build with Claude, and will soon gain access to an exciting roadmap of new experiences - including Agents for Amazon Bedrock, which

                                                  Claude on Amazon Bedrock now available to every AWS customer | Claude by Anthropic
                                                • AWS CodeBuildでSnyk IaCを使用してみた - Qiita

                                                  はじめに はじめまして!たかくにと申します! この記事は「Snykを使って開発者セキュリティに関する記事を投稿しよう!」というテーマに沿って投稿しています! 普段もIaCやAWSを中心にブログを書いているので、ご覧いただけると嬉しいです。 突然ですが、みなさん!IaC使っていますかー? IaC便利ですよね! Googleトレンドでも、年々IaCの人気が増加していることが伺えます。 では、IaCで使っているコードのセキュリティを気にしていますか? 気にしていなくても、これから気にすれば大丈夫です! 今回は、AWS CodeBuildでSnyk IaCを使用してみた感想、詰まった点をご紹介します! まずはじめに、Snyk IaCは、IaCのコードに対してセキュリティスキャンを行うツールです。コードに潜在した脆弱性を是正することで、各コードの品質を整えることができます。 具体的な使い方は私のブロ

                                                    AWS CodeBuildでSnyk IaCを使用してみた - Qiita
                                                  • Decoding protobuf messages using AWS Lambda | Amazon Web Services

                                                    AWS Compute Blog Decoding protobuf messages using AWS Lambda This post is written by Ennio Pastore, Data Lab Architect. Protobuf is short for protocol buffers, which are language- and platform-neutral mechanisms for serializing structured data. Compared to XML or JSON the size of the messages is smaller, so the network transfer is faster, reducing latency in the interactions between applications.

                                                      Decoding protobuf messages using AWS Lambda | Amazon Web Services
                                                    • Implementing AWS Well-Architected best practices for Amazon SQS – Part 2 | Amazon Web Services

                                                      AWS Compute Blog Implementing AWS Well-Architected best practices for Amazon SQS – Part 2 This blog is written by Chetan Makvana, Senior Solutions Architect and Hardik Vasa, Senior Solutions Architect. This is the second part of a three-part blog post series that demonstrates implementing best practices for Amazon Simple Queue Service (Amazon SQS) using the AWS Well-Architected Framework. This blo

                                                        Implementing AWS Well-Architected best practices for Amazon SQS – Part 2 | Amazon Web Services
                                                      • Understanding and Remediating Cold Starts: An AWS Lambda Perspective | Amazon Web Services

                                                        AWS Compute Blog Understanding and Remediating Cold Starts: An AWS Lambda Perspective Cold starts are an important consideration when building applications on serverless platforms. In AWS Lambda, they refer to the initialization steps that occur when a function is invoked after a period of inactivity or during rapid scale-up. While typically brief and infrequent, cold starts can introduce addition

                                                          Understanding and Remediating Cold Starts: An AWS Lambda Perspective | Amazon Web Services
                                                        • Building AI Products—Part I: Back-end Architecture

                                                          In 2023, we launched an AI-powered Chief of Staff for engineering leaders—an assistant that unified information across team tools and tracked critical project developments. Within a year, we attracted 10,000 users, outperforming even deep-pocketed incumbents such as Salesforce and Slack AI. Here is an early demo: By May 2024, we realized something interesting: while our AI assistant was gaining tr

                                                          • Orchestrating high performance computing with AWS Step Functions and AWS Batch | Amazon Web Services

                                                            AWS Compute Blog Orchestrating high performance computing with AWS Step Functions and AWS Batch This post is written by Dan Fox, Principal Specialist Solutions Architect; Sabha Parameswaran, Senior Solutions Architect. High performance computing (HPC) workloads address challenges in a wide variety of industries, including genomics, financial services, oil and gas, weather modeling, and semiconduct

                                                              Orchestrating high performance computing with AWS Step Functions and AWS Batch | Amazon Web Services
                                                            • Kappa Architecture is Mainstream Replacing Lambda - Kai Waehner

                                                              Real-time data beats slow data. That’s true for almost every use case. Nevertheless, enterprise architects build new infrastructures with the Lambda architecture that includes separate batch and real-time layers. This blog post explores why a single real-time pipeline, called Kappa architecture, is the better fit. Real-world examples from companies such as Disney, Shopify, Uber, and Twitter explor

                                                                Kappa Architecture is Mainstream Replacing Lambda - Kai Waehner
                                                              • Running code after returning a response from an AWS Lambda function | Amazon Web Services

                                                                AWS Compute Blog Running code after returning a response from an AWS Lambda function This post is written by Uri Segev, Principal Serverless Specialist SA. When you invoke an AWS Lambda function synchronously, you expect the function to return a response. For example, this is the case when a client invokes a Lambda function through Amazon API Gateway or from AWS Step Functions. As the client is wa

                                                                  Running code after returning a response from an AWS Lambda function | Amazon Web Services
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