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  • 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
    • Visual monitoring of applications with Amazon CloudWatch Synthetics | Amazon Web Services

      AWS Cloud Operations Blog Visual monitoring of applications with Amazon CloudWatch Synthetics Monitoring application endpoints is a reliable way to measure availability. This best practice can be extended by adding synthetic monitoring to your observability strategy. Synthetic monitoring lets you continually verify your customers’ experience by following the same routes and actions as your custome

        Visual monitoring of applications with Amazon CloudWatch Synthetics | Amazon Web Services
      • Python GUIs — Create GUI applications with Python and Qt

        Want to create GUI applications with Python? Here is everything you need to go from your first window to complete apps. Stop wasting your time on half-baked examples and bad practises. Learn how to build Python applications the right way. Take your first steps creating Python GUI applications with these simple step-by-step guides to Python & Qt. PyQt6 not installed? See our installation guides for

          Python GUIs — Create GUI applications with Python and Qt
        • Monitoring and troubleshooting serverless data analytics applications | Amazon Web Services

          AWS Compute Blog Monitoring and troubleshooting serverless data analytics applications This series is about building serverless solutions in streaming data workloads. The application example used in this series is Alleycat, which allows bike racers to compete with each other virtually on home exercise bikes. The first four posts have explored the architecture behind the application, which is enabl

            Monitoring and troubleshooting serverless data analytics applications | Amazon Web Services
          • GitHub - ficusjs/ficusjs: FicusJS is a set of lightweight functions for developing applications using web components

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              GitHub - ficusjs/ficusjs: FicusJS is a set of lightweight functions for developing applications using web components
            • Amazon CloudFront announces managed cache policies for web applications - AWS

              Amazon CloudFront announces managed cache policies for web applications Amazon CloudFront announces two new managed cache policies, UseOriginCacheControlHeaders and UseOriginCacheControlHeaders-QueryStrings, for dynamically generated websites and applications that return Cache-Control headers. With the new managed cache policies, CloudFront caches content based on the Cache-Control headers returne

                Amazon CloudFront announces managed cache policies for web applications - AWS
              • Raising code quality for Python applications using Amazon CodeGuru | Amazon Web Services

                AWS DevOps 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 of code reviews and thous

                  Raising code quality for Python applications using Amazon CodeGuru | Amazon Web Services
                • GitHub - virtualshield/rails-graphql: A fresh, new GraphQL server designed for Rails applications, emphasizing a natural, Ruby-like DSL.

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                    GitHub - virtualshield/rails-graphql: A fresh, new GraphQL server designed for Rails applications, emphasizing a natural, Ruby-like DSL.
                  • Stop Hardcoding Sensitive Data in Your Python Applications

                    Image made by the authorAs a data scientist, I daily use Python to build applications that rely on credentials and sensitive settings. Here are some examples of those, off the top of my head: API keys to access third-party servicesPasswords and credentialsEmail addresses or personal data (name, age, social security number, etc.)Debug flagsHosts, URL, URIand obviously, much more things. Some of the

                      Stop Hardcoding Sensitive Data in Your Python Applications
                    • GitHub - YousefED/Matrix-CRDT: Use Matrix as a backend for local-first applications with the Matrix-CRDT Yjs provider.

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                        GitHub - YousefED/Matrix-CRDT: Use Matrix as a backend for local-first applications with the Matrix-CRDT Yjs provider.
                      • Building Graphical Applications with WASI, Wasmer, and the experimental I/O Devices

                        WebAssembly’s MVP brought a lot of really cool features for developers, and a lot of potential for applications to come! However, since the technology is still young, there are still a lot of features that are not quite ready yet. For example features like threads, interface types, etc… are currently proposals for the spec, but a lot of applications depend on these features. 🤔 Today, at Wasmer we

                          Building Graphical Applications with WASI, Wasmer, and the experimental I/O Devices
                        • Modularizing React Applications with Established UI Patterns

                          Established UI patterns are often underutilized in the frontend development world, despite their proven effectiveness in solving complex problems in UI design. This article explores the application of established UI building patterns to the React world, with a refactoring journey code example to showcase the benefits. The emphasis is placed on how layering architecture can help organize the React

                            Modularizing React Applications with Established UI Patterns
                          • La plante et ses applications ornementales : Grasset, Eugène, 1841-1917 : Free Download, Borrow, and Streaming : Internet Archive

                            This week, an appellate court ruled in favor of major corporations, removing access to over 500,000 books. But we will continue to defend the rights of all libraries, and we ask you to stand with us. We rely on donations that average just $15.58; we would be deeply grateful if you would join the 1 in 1000 of our users who choose to give. If you find our library useful, please pitch in. This week,

                              La plante et ses applications ornementales : Grasset, Eugène, 1841-1917 : Free Download, Borrow, and Streaming : Internet Archive
                            • 5 Layers of State Management in React Applications

                              Home 5 Layers of State Management in React Applications edit ✏️ One of the challenges with state management in React is coming to terms and deciding as a team how you will categorize the layers of state in your application. It's variable and often nuanced to describe the layers but framing them in a simple hierarchy is an excellent tool for communicating with your team. One way to frame these laye

                                5 Layers of State Management in React Applications
                              • GitHub - ProvableHQ/leo: 🦁 The Leo Programming Language. A Programming Language for Formally Verified, Zero-Knowledge Applications

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                                  GitHub - ProvableHQ/leo: 🦁 The Leo Programming Language. A Programming Language for Formally Verified, Zero-Knowledge Applications
                                • Population health applications with Amazon HealthLake – Part 1: Analytics and monitoring using Amazon QuickSight | Amazon Web Services

                                  AWS Machine Learning Blog Population health applications with Amazon HealthLake – Part 1: Analytics and monitoring using Amazon QuickSight Healthcare has recently been transformed by two remarkable innovations: Medical Interoperability and machine learning (ML). Medical Interoperability refers to the ability to share healthcare information across multiple systems. To take advantage of these transf

                                    Population health applications with Amazon HealthLake – Part 1: Analytics and monitoring using Amazon QuickSight | Amazon Web Services
                                  • 論文紹介:Firecracker: Lightweight Virtualization for Serverless Applications

                                    2020-03-31 論文紹介:Firecracker: Lightweight Virtualization for Serverless Applications 元論文:https://www.usenix.org/conference/nsdi20/presentation/agache 2018年末、AWS Lambdaを提供するためのシステムとしてFirecrackerという仮想マシンモニター(VMM)がオープンソースとして公開されて注目を集めました。 この論文は、その中身を解説・評価する論文です。 論文概要 タイトル:Firecracker: Lightweight Virtualization for Serverless Applications 著者: Alexandru Agache, Marc Brooker et al. 会議:17th USENIX Sympos

                                      論文紹介:Firecracker: Lightweight Virtualization for Serverless Applications
                                    • GitHub - receptron/graphai: GraphAI is an asynchronous data flow execution engine, which allows developers to build agentic applications by describing agent workflows as declarative data flow graphs in YAML or JSON.

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                                        GitHub - receptron/graphai: GraphAI is an asynchronous data flow execution engine, which allows developers to build agentic applications by describing agent workflows as declarative data flow graphs in YAML or JSON.
                                      • Hookdeck - A reliable Event Gateway for event-driven applications

                                        A reliable event gateway for async applications Receive, process, and deliver messages across your event-driven architecture with Hookdeck's platform for engineering teams.

                                          Hookdeck - A reliable Event Gateway for event-driven applications
                                        • Building LLM-powered applications in Go - The Go Programming Language

                                          The Go Blog Building LLM-powered applications in Go Eli Bendersky 12 September 2024 As the capabilities of LLMs (Large Language Models) and adjacent tools like embedding models grew significantly over the past year, more and more developers are considering integrating LLMs into their applications. Since LLMs often require dedicated hardware and significant compute resources, they are most commonly

                                            Building LLM-powered applications in Go - The Go Programming Language
                                          • What every SRE should know about GNU/Linux resolvers and Dual-Stack applications

                                            More post series:1. File descriptors, pipes, terminals, user sessions, process groups and daemons2. Linux Page Cache mini book3. Resolvers and Dual-Stack applications new What every SRE should know about GNU/Linux resolvers and Dual-Stack applications #In this series of posts, I’d like to make a deep dive into the GNU/Linux local facilities used to convert a domain name or hostname into IP address

                                            • Amazon.co.jp: Database Design and Implementation: Second Edition (Data-Centric Systems and Applications): Sciore, Edward: 本

                                                Amazon.co.jp: Database Design and Implementation: Second Edition (Data-Centric Systems and Applications): Sciore, Edward: 本
                                              • A Survey of Causal Inference Applications at Netflix

                                                At Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. Key to that is understanding causal effects that connect changes we make in the product to indicators of member joy. To measure causal effects we rely heavily on AB testing, but we also leverage quasi-experimentation in cases where AB testing is limited. Many scienti

                                                  A Survey of Causal Inference Applications at Netflix
                                                • Building scalable serverless applications with Amazon S3 and AWS Lambda | Amazon Web Services

                                                  AWS Compute Blog Building scalable serverless applications with Amazon S3 and AWS Lambda Well-designed serverless applications are typically a combination of managed services connected by custom business logic. One of the most powerful combinations for enterprise application development is Amazon S3 and AWS Lambda. S3 is a highly durable, highly available object store that scales to meet your stor

                                                    Building scalable serverless applications with Amazon S3 and AWS Lambda | Amazon Web Services
                                                  • GitHub - ahmadawais/create-node-cli: 📟 CLI to create new Node.js CLI applications in minutes not hours.

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                                                      GitHub - ahmadawais/create-node-cli: 📟 CLI to create new Node.js CLI applications in minutes not hours.
                                                    • Rails 7.2 adds Rubocop by default to new applications

                                                      Rails 7.2 adds Rubocop by default to new applications Apr 8, 2024 RuboCop is a static code analyzer also linter and code formatter for the Ruby programming language. It will enforce the guidelines outlined in the community Ruby Style Guide. It helps developers in ensuring adherence to coding style standards, identifying potential code flaws, and enhancing the overall quality of the codebase. In ad

                                                        Rails 7.2 adds Rubocop by default to new applications
                                                      • GitHub - mui/mui-x: MUI X: Build complex and data-rich applications using a growing list of advanced React components, like the Data Grid, Date and Time Pickers, Charts, and more!

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                                                          GitHub - mui/mui-x: MUI X: Build complex and data-rich applications using a growing list of advanced React components, like the Data Grid, Date and Time Pickers, Charts, and more!
                                                        • GitHub - cyco130/vavite: Develop server-side applications with Vite

                                                          All examples have "type": "module" in their package.json. For Vite v2, remove it to use CommonJS (CJS). If you want to use CommonJS with Vite v3+, add legacy.buildSsrCjsExternalHeuristics: true to your Vite config. simple-standalone: Simple standalone example (Stackblitz) express: Integrating with Express (Stackblitz) koa: Integrating with Koa (Stackblitz) fastify: Integrating with Fastify (Stackb

                                                            GitHub - cyco130/vavite: Develop server-side applications with Vite
                                                          • Build and deploy ML inference applications from scratch using Amazon SageMaker | Amazon Web Services

                                                            AWS Machine Learning Blog Build and deploy ML inference applications from scratch using Amazon SageMaker As machine learning (ML) goes mainstream and gains wider adoption, ML-powered inference applications are becoming increasingly common to solve a range of complex business problems. The solution to these complex business problems often requires using multiple ML models and steps. This post shows

                                                              Build and deploy ML inference applications from scratch using Amazon SageMaker | Amazon Web Services
                                                            • Implementing geohashing at scale in serverless web applications | Amazon Web Services

                                                              AWS Compute Blog Implementing geohashing at scale in serverless web applications Many web and mobile applications use geospatial data, often with map overlays. This results in dataset queries based upon proximity, for questions such as “How far is the nearest business?” or “How many users are nearby?”. Applications with significant traffic need an efficient way to handle geolocation queries. This

                                                                Implementing geohashing at scale in serverless web applications | Amazon Web Services
                                                              • What to expect when monitoring memory usage for modern Go applications.

                                                                • Mathematical Optimization for Real Applications

                                                                  最近は,多くの企業が数理最適化の活用に興味を持つようになり,産学連携の機会が急増しています.一方で,企業に数理最適化の専門家は少なく,大学から輩出できる人材にも限りがあるため,実務における数理最適化の活用はごく限定された範囲にとどまっているのが現状です.本講演では,多くの企業が抱える実務の各段階における…

                                                                    Mathematical Optimization for Real Applications
                                                                  • Understanding Hydration in React applications(SSR)

                                                                    Understanding Hydration in React applications(SSR) Dec 16, 2021 I am a Javascript and React enthusiast, and I absolutely love writing technical blogs. There's just something about the process of breaking down complex concepts and sharing my knowledge with others that really excites me. In my free time, I enjoy exploring my other passions, such as painting, gardening, cooking, and managing my food

                                                                      Understanding Hydration in React applications(SSR)
                                                                    • GitHub - JakePartusch/serverlessui: A command-line utility for deploying serverless applications to AWS. Complete with custom domains, deploy previews, TypeScript support, and more.

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                                                                        GitHub - JakePartusch/serverlessui: A command-line utility for deploying serverless applications to AWS. Complete with custom domains, deploy previews, TypeScript support, and more.
                                                                      • Tech Stack Applications

                                                                        Instructions for how to access the GitLab tech stack and request updates to it Definition and Access Note: Use the Tech Stack Index to browse Tech Stack Apps. The Tech Stack is a list of all the technology that GitLab currently uses to support the business. The Tech Stack lists systems/applications/tools/data used by all departments and details the business purpose/description, the owners, the pro

                                                                          Tech Stack Applications
                                                                        • Using Playwright to test Next.js applications

                                                                          In its latest release, Playwright has gained a new feature called Playwright Test. This newly added test runner for Playwright enables the smoothest testing experience in Next.js applications I have ever seen. Once set up, it allows testing with real browsers across multiple device sizes. We’ll be able to mock requests made by the frontend. And, we’ll be able to mock the backend’s requests as well

                                                                            Using Playwright to test Next.js applications
                                                                          • For Complex Applications, Rust is as Productive as Kotlin

                                                                            In this article, we will compare one apple (IntelliJ Rust) to one orange (rust-analyzer) to reach general and sweeping conclusions. Specifically, I want to present a case study supporting the following claim: For me, this is an unusual claim to argue: I always thought exactly the opposite, but I am not so sure now. I came to Rust from C++. I was of the opinion that this is a brilliant low-level la

                                                                              For Complex Applications, Rust is as Productive as Kotlin
                                                                            • Optimize Java applications for Cloud Run  |  Cloud Run Documentation  |  Google Cloud

                                                                              Send feedback Optimize Java applications for Cloud Run Stay organized with collections Save and categorize content based on your preferences. This guide describes optimizations for Cloud Run services written in the Java programming language, along with background information to help you understand the tradeoffs involved in some of the optimizations. The information on this page supplements the gen

                                                                                Optimize Java applications for Cloud Run  |  Cloud Run Documentation  |  Google Cloud
                                                                              • Building Java Applications with libraries Sample

                                                                                To prepare your software project for growth, you can organize a Gradle project into multiple subprojects to modularize the software you are building. In this guide, you’ll learn how to structure such a project on the example of a Java application. However, the general concepts apply for any software you are building with Gradle. You can follow the guide step-by-step to create a new project from sc

                                                                                • Building well-architected serverless applications: Regulating inbound request rates – part 1 | Amazon Web Services

                                                                                  AWS Compute Blog Building well-architected serverless applications: Regulating inbound request rates – part 1 This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the serverless-specific questions identified by the Serverless Lens along with the recommended best practices

                                                                                    Building well-architected serverless applications: Regulating inbound request rates – part 1 | Amazon Web Services