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  • Announcing AWS Lambda Function URLs: Built-in HTTPS Endpoints for Single-Function Microservices | Amazon Web Services

    AWS News Blog Announcing AWS Lambda Function URLs: Built-in HTTPS Endpoints for Single-Function Microservices Organizations are adopting microservices architectures to build resilient and scalable applications using AWS Lambda. These applications are composed of multiple serverless functions that implement the business logic. Each function is mapped to API endpoints, methods, and resources using s

      Announcing AWS Lambda Function URLs: Built-in HTTPS Endpoints for Single-Function Microservices | Amazon Web Services
    • 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
      • 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 - NRIネットコムBlog

        小西秀和です。 今回は2023-09-28にGeneral Availability(GA)になったAmazon Bedrockの基本情報、Runtime APIの実行例についてまとめました。また、トークンやパラメータのイメージをつかむための必要最小限の用語説明も所々入れています。 最終更新日:2024/06/21 ※AWS re:Invent 2024後の2024年末時点におけるAmazon Bedrockのモデル一覧は以下の記事で紹介しています。 Amazon Bedrock Models as of 2024 - An Analysis of the Comprehensive Model Catalog ※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

          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 - NRIネットコムBlog
        • GitHub Actions on AWS with CDK - NTT docomo Business Engineers' Blog

          はじめに こんにちは、イノベーションセンターの福田です。 今回、開発環境改善の取り組みとして GitHub Actions の self-hosted runners を AWS 上に構築しました。 この構築で得られた知見について共有します。 概要 GitHub Actions は GitHub で CI/CD を手軽に実現する機能です。 GitHub が提供している環境を利用して、 CI/CD のジョブを実行できます1。 一方で、ハードウェア等をカスタマイズできないため、例えば容量が大きくより速度の早いストレージを利用したい場合や、より多くのメモリを利用したい場合に対応ができません。 そこで、GitHub Actions には self-hosted runners という機能があり、自身の環境で GitHub Actions の CI/CD ジョブを走らせる環境を用意できます。 今回は

            GitHub Actions on AWS with CDK - NTT docomo Business Engineers' Blog
          • AWS Lambda turns 10: A rare look at the doc that started it

            AWS Lambda turns 10: A rare look at the doc that started itNovember 14, 2024 • 5460 words One of our strengths at AWS has always been our ability to get primitives into the hands of our customers and observe what they do. In nearly every instance, someone uses these building blocks in interesting ways that we didn’t expect. Sometimes it’s domain-specific innovation, but other times it’s customers

              AWS Lambda turns 10: A rare look at the doc that started it
            • Monitor AWS resources created by Terraform in Amazon DevOps Guru using tfdevops | Amazon Web Services

              AWS DevOps & Developer Productivity Blog Monitor AWS resources created by Terraform in Amazon DevOps Guru using tfdevops This post was written in collaboration with Kapil Thangavelu, CTO at Stacklet Amazon DevOps Guru is a machine learning (ML) powered service that helps developers and operators automatically detect anomalies and improve application availability. DevOps Guru utilizes machine learn

                Monitor AWS resources created by Terraform in Amazon DevOps Guru using tfdevops | Amazon Web Services
              • Hidekazu Konishi

                Hidekazu Konishi Hidekazu Konishi (小西秀和) is a prominent Japanese cloud architect and AWS expert, renowned as the six-time consecutive recipient from 2020 to 2025 of both the Japan AWS Top Engineer and Japan All AWS Certifications Engineer awards, earning him special recognition at AWS Summit Japan 2025 for his sustained technical excellence and contributions to Amazon Web Services (AWS) in Japan.[

                  Hidekazu Konishi
                • Node.js 16.x runtime now available in AWS Lambda | Amazon Web Services

                  AWS Compute Blog Node.js 16.x runtime now available in AWS Lambda This post is written by Dan Fox, Principal Specialist Solutions Architect, Serverless. You can now develop AWS Lambda functions using the Node.js 16 runtime. This version is in active LTS status and considered ready for general use. To use this new version, specify a runtime parameter value of nodejs16.x when creating or updating fu

                    Node.js 16.x runtime now available in AWS Lambda | 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
                    • Introducing the AWS Lambda Telemetry API | Amazon Web Services

                      AWS Compute Blog Introducing the AWS Lambda Telemetry API This blog post is written by Anton Aleksandrov, Principal Solution Architect and Shridhar Pandey, Senior Product Manager Today AWS is announcing the AWS Lambda Telemetry API. This provides an easier way to receive enhanced function telemetry directly from the Lambda service and send it to custom destinations. This makes it easier for develo

                        Introducing the AWS Lambda Telemetry API | Amazon Web Services
                      • Comparing AWS Lambda Arm64 vs x86_64 Performance Across Multiple Runtimes in Late 2025

                        Update: This article was initially published on November 24th. All the takeaways from the original article still hold, but it turns out it's possible to make Rust even faster on Arm! After publishing this benchmark, Khawaja Shams suggested enabling assembly-optimized SHA-256 hashing in the Rust workload. Enabling theasm feature on the sha2 crate resulted in a 4-5x performance improvement for Rust

                          Comparing AWS Lambda Arm64 vs x86_64 Performance Across Multiple Runtimes in Late 2025
                        • Route 53 Application Recovery Controllerを試した | DevelopersIO

                          中山(順)です 先日、Route 53 Application Recovery Controllerなる機能がリリースされました。 Amazon Route 53 announces Route 53 Application Recovery Controller この記事では環境構築および動作確認を実施した結果をまとめてみました。 Route 53 Application Recovery Controllerとは サービスを運用するにあたり、「可用性」は重要なテーマの一つです。 設計の際には、障害が表面化しないようにコンポーネントを冗長化したり障害が発生した時に速やかに復旧できるように工夫をすると思います。 具体的には、特定のリージョンにおいて1つのVPCをベースにSubnet / ALB / AutoScaling / RDS等のリソースを複数のアベイラビリティーゾーンに跨がってプ

                            Route 53 Application Recovery Controllerを試した | DevelopersIO
                          • AWS Lambda Functions Powered by AWS Graviton2 Processor – Run Your Functions on Arm and Get Up to 34% Better Price Performance | Amazon Web Services

                            AWS News Blog AWS Lambda Functions Powered by AWS Graviton2 Processor – Run Your Functions on Arm and Get Up to 34% Better Price Performance December 13, 2022: Post updated to include all the AWS Regions where Lambda Functions can be powered by the Graviton2 Processor. June 19, 2023: List of AWS Regions updated. Many of our customers (such as Formula One, Honeycomb, Intuit, SmugMug, and Snap Inc.)

                              AWS Lambda Functions Powered by AWS Graviton2 Processor – Run Your Functions on Arm and Get Up to 34% Better Price Performance | Amazon Web Services
                            • AWS SAM support for HashiCorp Terraform now generally available | Amazon Web Services

                              AWS Compute Blog AWS SAM support for HashiCorp Terraform now generally available In November 2022, AWS announced the public preview of AWS Serverless Application Model (AWS SAM) support for HashiCorp Terraform. The public preview introduces a subset of features to help Terraform users test serverless applications locally. Today, AWS is announcing the general availability of Terraform support in AW

                                AWS SAM support for HashiCorp Terraform now generally available | Amazon Web Services
                              • Instance Schedulerを使ってEC2の稼働時間を管理してみた

                                概要 会社で使っているEC2はSavings Plansを採用していてオンデマンドで使うよりも安い料金でEC2を利用しています。 ただそれでもEC2の数が段々と増えていて、当初の予想よりもコンピューティングリソースの消費が大きくなりEC2の利用料が大きくなってきました。 そこで検証環境のEC2の稼働時間を減らし、コンピューティングリソースの消費を抑えることでEC2の利用料を節約しようと思いました。 前職では先輩が作成したLambdaで21:00~翌9:00の時間帯は自動でシャットダウンする仕組みができており、当初はそれを真似しようと思いましたがInstance Schedulerなるものを今の会社のリーダーから教わりました。 今回はInstance Schedulerを実際に使ってみてどういったものなのか試してみました。 Instance Schedulerについて 先にお話しするとIns

                                  Instance Schedulerを使ってEC2の稼働時間を管理してみた
                                • 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
                                  • Cloud Dataflow で実現する柔軟なデータパイプライン - スタディサプリ Product Team Blog

                                    はじめに こんにちは、@shase です。 スタディサプリでは、データパイプラインのツールとして、従来 AWS Kinesis Stream や、Embulk や、AWS Lambda などがよく使われてきました。 ただ、現在開発中のプロジェクトでは、システム間の連携の為、Cloud Pub/Sub が多用されているということもあり、データパイプライン Cloud Pub/Subとの親和性が高いCloud Dataflowを一部取り入れています。 本記事では Cloud Dataflow 自体は詳述しませんが、簡単に説明させていただくと、Cloud Dataflowとは、GCP が提供するマネージドな Apache Beam の実行環境になります。 Cloud Dataflow のメリット Cloud Dataflow(Apache Beam)には、以下のようなメリットを感じています。 ス

                                      Cloud Dataflow で実現する柔軟なデータパイプライン - スタディサプリ Product Team Blog
                                    • Introducing a Public Registry for AWS CloudFormation | Amazon Web Services

                                      AWS News Blog Introducing a Public Registry for AWS CloudFormation AWS CloudFormation and the AWS Cloud Development Kit (AWS CDK) (CDK) provide scalable and consistent provisioning of AWS resources (for example, compute infrastructure, monitoring tools, databases, and more). We’ve heard from many customers that they’d like to benefit from the same consistency and scalability when provisioning reso

                                        Introducing a Public Registry for AWS CloudFormation | Amazon Web Services
                                      • 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

                                        • Apache Airflow : 10 rules to make it work ( scale ) | Towards Data Science

                                          Airflow is by default very permissive and without strict rules you are likely to create a chaotic code base that is impossible to scale and administrate. if you are not careful your shortcuts will cost you a lot afterwards Airflow permissive approach will let you schedule any custom code (jobs) but you will create a spaghetti stack if you do not follow very strict SEPARATION OF CONCERN design betw

                                            Apache Airflow : 10 rules to make it work ( scale ) | Towards Data Science
                                          • How to schedule ECS Services in AWS easily (start/stop)

                                            This is my solution which is highly based on a great AWS employee (Alfredo J). Most likely if you are reading this article, you might know this is not something possible to do without a workaround in AWS. You might think of using a scheduled task or complex solutions but after a while, Alfredo from Mexico supported me to bring this solution to all of you. First, create a Policy using the JSON opti

                                              How to schedule ECS Services in AWS easily (start/stop)
                                            • Virus scan S3 buckets with a serverless ClamAV based CDK construct | Amazon Web Services

                                              AWS Developer Tools Blog Virus scan S3 buckets with a serverless ClamAV based CDK construct Edit: March 10th 2022 – Updated post to use AWS Cloud Development Kit (CDK) v2. Protecting systems from malware is an essential part of a systems protection strategy. It is important to both scan binaries and other files before introducing them into your system boundary and appropriately respond to potentia

                                                Virus scan S3 buckets with a serverless ClamAV based CDK construct | Amazon Web Services
                                              • Introducing the Amazon Linux 2023 runtime for AWS Lambda | Amazon Web Services

                                                AWS Compute Blog Introducing the Amazon Linux 2023 runtime for AWS Lambda This post is written by Rakshith Rao, Senior Solutions Architect. AWS Lambda now supports Amazon Linux 2023 (AL2023) as a managed runtime and container base image. Named provided.al2023, this runtime provides an OS-only environment to run your Lambda functions. It is based on the Amazon Linux 2023 minimal container image rel

                                                  Introducing the Amazon Linux 2023 runtime for AWS Lambda | Amazon Web Services
                                                • Quickly build high-accuracy Generative AI applications on enterprise data using Amazon Kendra, LangChain, and large language models | Amazon Web Services

                                                  Artificial Intelligence Quickly build high-accuracy Generative AI applications on enterprise data using Amazon Kendra, LangChain, and large language models June 2023: This post was updated to cover the Amazon Kendra Retrieve API optimized for RAG use cases, and Amazon Kendra retriever now being part of the LangChain GitHub repo. This revision also updates the instructions to use new version sample

                                                    Quickly build high-accuracy Generative AI applications on enterprise data using Amazon Kendra, LangChain, and large language models | 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
                                                    • Red Hat Enterprise LinuxのHigh Availability Add-OnでActive/Standby構成のクラスターを組んでみた | DevelopersIO

                                                      参考: Amazon EC2 オンデマンド料金 どちらのインスタンスファミリーも、インスタンスサイズが大きくなればなるほど、Red Hat Enterprise Linux HAのオンデマンド料金はRHELのオンデマンド料金に近似していくことが分かります。 クラスター構成を組む必要がある場合、ユースケースにもよりますが、処理性能などの関係で大きめのインスタンスサイズを選択することが多いと思います。大きめのインスタンスサイズを選択したとしても、素のRHELからそこまで大きな追加課金が派生しないのは嬉しいポイントですね。 やってみた 検証環境 今回検証を行う環境は以下の通りです。 3つEC2インスタンスを用意したのはスプリッドブレイン対策です。 HA Add-Onでは、クォーラムデバイスによるスプリッドブレイン対策も可能ですが、今回は3ノード構成でクラスターを組んでみます。 クォーラムデバイス

                                                        Red Hat Enterprise LinuxのHigh Availability Add-OnでActive/Standby構成のクラスターを組んでみた | DevelopersIO
                                                      • Announcing CDK Garbage Collection | Amazon Web Services

                                                        AWS DevOps & Developer Productivity Blog Announcing CDK Garbage Collection The AWS Cloud Development Kit (CDK) is an open source framework that enables developers to define cloud infrastructure using a familiar programming language. Additionally, CDK provides higher level abstractions (Constructs), which reduce the complexity required to define and integrate AWS services together when building on

                                                          Announcing CDK Garbage Collection | Amazon Web Services
                                                        • Introducing Hidet: A Deep Learning Compiler for Efficient Model Serving – PyTorch

                                                          Blog Introducing Hidet: A Deep Learning Compiler for Efficient Model Serving Hidet is a powerful deep learning compiler that simplifies the process of implementing high-performing deep learning operators on modern accelerators (e.g., NVIDIA GPUs). With the new feature of torch.compile(...) in PyTorch 2.0, integrating a novel compiler into PyTorch is easier than ever – Hidet now can be used as a to

                                                            Introducing Hidet: A Deep Learning Compiler for Efficient Model Serving – PyTorch
                                                          • How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale | Amazon Web Services

                                                            AWS Architecture Blog How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale Zapier is a leading no-code automation provider whose customers use their solution to automate workflows and move data across over 8,000 applications such as Slack, Salesforce, Asana, and Dropbox. Zapier runs these automations through integrations called Zaps, which are implemented using a serverless

                                                              How Zapier runs isolated tasks on AWS Lambda and upgrades functions at scale | Amazon Web Services
                                                            • Best Practices for Deploying AWS DevOps Agent in Production | Amazon Web Services

                                                              AWS DevOps & Developer Productivity Blog Best Practices for Deploying AWS DevOps Agent in Production Root cause analysis during incidents is one of the most time-consuming and stressful parts of operating cloud applications. Engineers must quickly correlate telemetry data across multiple services, review deployment history, and understand complex application dependencies—all while under pressure t

                                                                Best Practices for Deploying AWS DevOps Agent in Production | Amazon Web Services
                                                              • Python 3.14 runtime now available in AWS Lambda | Amazon Web Services

                                                                AWS Compute Blog Python 3.14 runtime now available in AWS Lambda AWS Lambda now supports Python 3.14 as both a managed runtime and container base image. Python is a popular language for building serverless applications. Developers can now take advantage of new features and enhancements when creating serverless applications on Lambda. You can develop Lambda functions in Python 3.14 using the AWS Ma

                                                                  Python 3.14 runtime now available in AWS Lambda | Amazon Web Services
                                                                • Forward Incoming Email to an External Destination | Amazon Web Services

                                                                  AWS Messaging Blog Forward Incoming Email to an External Destination Note: This post was written by Vesselin Tzvetkov, an AWS Senior Security Architect, and by Rostislav Markov, an AWS Senior Engagement Manager. Amazon SES has included support for incoming email for several years now. However, some customers have told us that they need a solution for forwarding inbound emails to domains that aren’

                                                                    Forward Incoming Email to an External Destination | 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
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