Best Application Development Software for AWS Lambda - Page 2

AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. You can use X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.

A low-code backend-as-a-service platform that helps you build hosted APIs within minutes. Simply define your schema with our intuitive UI, and we'll provide you with a hosted backend & basic CRUD APIs. You can either connect your database (PostgreSQL, MongoDB) or use our shared MongoDB instance. You'll be able to create new APIs, add webhooks, built-in code-editor & integrations to consume on the frontend. We also provide you with a built-in CMS & autogenerated documentation. Canonic's graph based editor changes the way we define our data using content platforms. Visualize and see relations instantly. Simpler than drag & drop! A headless CMS molded to the content that you define. This makes publishing and authoring fast and intuitive. Trigger workflows whenever your data changes. Deploy builds, execute functions, send messages and everything in between. Canonic automatically generates detailed documentation around your APIs along with examples and their parameters.

Open-source framework that helps you to architect, build and deploy solutions on top of serverless infrastructure. A self-hosted serverless CMS that includes a headless GraphQL API, asset management, and a no-code builder for static pages and forms. Scaleable & cost-effective. The built-in prerendering services makes your pages crawlable by search engines. Manage digital assets, resize and deliver images on multiple resolutions. Expand and change any aspect of the system with custom plugins and business logic. Numerous built-in performance optimizations make your sites fast and scalable.

The all-in-one platform that connects your services and APIs in the most agile way. Empower busy development teams to build complex integrations that no-code tools cannot solve. The power of code is limitless, If you know how to code, with JavaScript you can create much more in less time. Review & audit code changes, audit credentials creation and use, check execution logs, etc. Use opened data streams, transactions, cache's, errors management, logging, multiple environments support, and reusable functions. Start executions on demand, in a scheduled approach, or using a webhook. Easy integration in your systems infrastructure in minutes. Reuse your business logic with JS modules, a friendly source code editor, powerful integrations, and libraries. On-premise Kubernetes deployment is an option. External identity providers and enhanced audit and logging. Write your scripts in a web browser and run them directly in the YepCode cloud.

Enterprises use Quickwork to build simple and complex workflows, create and publish secure APIs, and manage conversational interactions with customers, employees, and partners to provide a great user experience. Quickwork provides an all-in-one platform with the tools and services you need to build powerful & scalable integrations, serverless APIs, conversational experiences, and a lot more. Simply drag and drop the applications you wish to use to build powerful integrations without writing a single line of code. Choose from 1,000s of business, consumer, AI, analytics, messaging, and IoT apps to create an automated workflow you can imagine. Convert any workflow into an API with Quickwork’s single-click API management. Share your APIs securely with built-in authentication mechanisms and scale elastically with our serverless infrastructure. Build and manage real-time conversational and messaging workflows with human agents, chatbots, and IoT devices across multiple channels.

No-cost, multiplatform, production-ready distribution of OpenJDK. Amazon Corretto is a no-cost, multiplatform, production-ready distribution of the Open Java Development Kit (OpenJDK). Corretto comes with long-term support that will include performance enhancements and security fixes. Amazon runs Corretto internally on thousands of production services and Corretto is certified as compatible with the Java SE standard. With Corretto, you can develop and run Java applications on popular operating systems, including Linux, Windows, and macOS. Amazon Corretto comes with no-cost long-term support from Amazon, so you can upgrade versions only when you need to. Amazon is committed to Corretto, running it internally on thousands of production services. Amazon Corretto is certified to meet the Java SE standard and can be used as a drop-in replacement for many Java SE distributions. Amazon provides quarterly updates that include performance enhancements and security fixes.

The Saagie cloud data factory is a turnkey platform that lets you create and manage all your data & AI projects in a single interface, deployable in just a few clicks. Develop your use cases and test your AI models in a secure way with the Saagie data factory. Get your data and AI projects off the ground with a single interface and centralize your teams to make rapid progress. Whatever your maturity level, from your first data project to a data & AI-driven strategy, the Saagie platform is there for you. Simplify your workflows, boost your productivity, and make more informed decisions by unifying your work on a single platform. Transform your raw data into powerful insights by orchestrating your data pipelines. Get quick access to the information you need to make more informed decisions. Simplify the management and scalability of your data and AI infrastructure. Accelerate the time-to-production of your AI, machine learning, and deep learning models.

Gravity cloud is an Internal Developer Platform that enables engineering teams to run and manage cloud at scale. The feature-rich IDP brings complete control and visibility for Kubernetes, Databases, RBAC, CI/CD and much more. Gravity also enables complete cost visibility along with any action performed on the cloud. For engineering teams, IDP becomes an important part of the developer lifecylce to increase productivity and reducing total cost of ownership on the non-core developement work. Gravity's unique IDP ensures to deliver the maximum output from your software lifecyles.

The Scale to Zero AWS Kit is a production-ready, highly scalable, and cost-efficient serverless solution designed to simplify application deployment on Amazon Web Services (AWS). It leverages AWS services such as Lambda, API Gateway, DynamoDB, S3, CloudFront, SES, Cognito, and SQS to create a robust infrastructure that scales resources to zero when not in use, ensuring that you only pay for what you utilize. The kit adheres to AWS's best practices for serverless architecture, guaranteeing high scalability, resilience, and performance. It includes separate frontend applications for landing, authentication, and dashboard functionalities, all built with modern technologies like Node.js, React, and TypeScript. Authentication and authorization are managed through AWS Cognito, supporting various login methods, including social logins. Payment processing is integrated with Stripe and Lemon Squeezy, featuring resilient webhooks configured using SQS and Lambda.

SaaSConstruct is a comprehensive template designed to expedite the development of SaaS applications on the AWS cloud. It provides a fully integrated codebase encompassing cloud infrastructure, frontend, and backend components, enabling rapid deployment of SaaS websites with features such as user authentication, payment processing, and custom AI chatbots. The infrastructure is built on AWS services, allowing for seamless extension with additional AWS offerings as needed. By offering these pre-configured elements, SaaSConstruct empowers developers to swiftly test and launch their ideas, focusing on core functionalities without the overhead of initial setup. Our template already contains code for most SaaS flows like payments, authentication, etc. Your AWS charges will most likely be close to zero while you build. AI models integration (AWS Bedrock). Save hundreds of hours, and get all you need for your SaaS today.

​Doctor Droid is an AI-driven platform designed to revolutionize monitoring and troubleshooting for engineering teams. It automates complex investigations, following standard operating procedures to analyze data across multiple integrations, identify root causes, and execute standard runbooks for self-healing. By proactively listening for alerts, Doctor Droid prepares relevant data and insights, reducing on-call time by up to 80% and enabling engineers to respond swiftly. It facilitates rapid onboarding of new engineers by automating the search for documents, learning new tools, and understanding data, allowing them to become primary on-calls from day one. With the capability to perform ad-hoc investigations, such as analyzing Kubernetes clusters or checking recent deployments, Doctor Droid adapts and creates new plans based on suggestions and existing documents. It integrates seamlessly with over 40 tools across the stack.

BoxLang is a modern, dynamically and loosely typed scripting language for the Java Virtual Machine (JVM) that supports Object-Oriented (OO) and Functional Programming (FP) constructs. It can be deployed on multiple platforms and all operating systems, web servers, Java application servers, AWS Lambda, WebAssembly, and more. BoxLang combines many features from different programming languages to provide developers with a modern, fluent, and expressive syntax. BoxLang has been designed to be a highly modular and dynamic language that takes advantage of all the modern features of the JVM. It is dynamically typed, which means there's no need to declare types. It can perform type inference, auto-casting, and promotions between different types. The language adjusts to its deployed runtime and can add, remove, or modify methods and properties at runtime.

AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Fargate, AWS Lambda, and your on-premises servers. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate software deployments, eliminating the need for error-prone manual operations. The service scales to match your deployment needs. AWS CodeDeploy is platform and language agnostic, works with any application, and provides the same experience whether you’re deploying to Amazon EC2, AWS Fargate, or AWS Lambda. You can easily reuse your existing setup code. CodeDeploy can also integrate with your existing software release process or continuous delivery toolchain (e.g., AWS CodePipeline, GitHub, Jenkins).

Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. EventBridge delivers a stream of real-time data from event sources, such as Zendesk, Datadog, or Pagerduty, and routes that data to targets like AWS Lambda. You can set up routing rules to determine where to send your data to build application architectures that react in real time to all of your data sources. EventBridge makes it easy to build event-driven applications because it takes care of event ingestion and delivery, security, authorization, and error handling for you. As your applications become more interconnected through events, you need to spend more effort to find events and understand their structure in order to write code to react to those events.

AWS CodeStar enables you to quickly develop, build, and deploy applications on AWS. AWS CodeStar provides a unified user interface, enabling you to easily manage your software development activities in one place. With AWS CodeStar, you can set up your entire continuous delivery toolchain in minutes, allowing you to start releasing code faster. AWS CodeStar makes it easy for your whole team to work together securely, allowing you to easily manage access and add owners, contributors, and viewers to your projects. Each AWS CodeStar project comes with a project management dashboard, including an integrated issue tracking capability powered by Atlassian Jira Software. With the AWS CodeStar project dashboard, you can easily track progress across your entire software development process, from your backlog of work items to teams’ recent code deployments. There is no additional charge for using AWS CodeStar. You only pay for the AWS resources that you provision.

AWS IoT Core lets you connect IoT devices to the AWS cloud without the need to provision or manage servers. AWS IoT Core can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT Core, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected. AWS IoT Core also makes it easy to use AWS and Amazon services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that gather, process, analyze and act on data generated by connected devices, without having to manage any infrastructure. AWS IoT Core allows you to connect any number of devices to the cloud and to other devices without requiring you to provision or manage servers.

A unified continuous delivery solution for multiple application kinds on multi-cloud that empowers engineers to deploy faster with more confidence. A GitOps tool that enables doing deployment operations by pull request on Git. Deployment pipeline UI shows clarify what is happening. Separate logs viewer for each individual deployment. Real-time visualization of application state. Deployment notifications to slack, and webhook endpoints. Insights show the delivery performance. Automated deployment analysis based on metrics, logs, and emitted requests. Automatically roll back to the previous state as soon as analysis or a pipeline stage fails. Automatically detect configuration drift to notify and render the changes. Automatically trigger a new deployment when a defined event has occurred (e.g. container image pushed, helm chart published, etc). Support single sign-on and role-based access control. Credentials are not exposed outside the cluster and not saved in the control plane.

Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values.

Claudia makes it easy to deploy Node.js projects to AWS Lambda and API Gateway. It automates all the error-prone deployment and configuration tasks and sets everything up the way JavaScript developers expect out of the box. This means that you can get started with Lambda microservices easily, and focus on solving important business problems instead of dealing with AWS deployment workflows. AWS Lambda and API Gateway are incredibly flexible, but they can be tedious to set up, especially for simple scenarios. Running Node.js functions requires you to iron out quite a few quirks, that aren't exactly well documented. Claudia automates all those steps for you. Deploy and update using a single command. Just use standard NPM packages, no need to learn Swagger. Skip all the boilerplate and just focus on your work. Manage multiple versions easily. Get started in minutes, with a very low learning curve.

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