#restapis

[govindhtech]

AWS Amplify Features For Building Scalable Full-Stack Apps

AWS Amplify features

Build

Summary

Create an app backend using Amplify Studio or Amplify CLI, then connect your app to your backend using Amplify libraries and UI elements.

Verification

With a fully-managed user directory and pre-built sign-up, sign-in, forgot password, and multi-factor auth workflows, you can create smooth onboarding processes. Additionally, Amplify offers fine-grained access management for web and mobile applications and enables login with social providers like Facebook, Google Sign-In, or Login With Amazon. Amazon Cognito is used.

Data Storage

Make use of an on-device persistent storage engine that is multi-platform (iOS, Android, React Native, and Web) and driven by GraphQL to automatically synchronize data between desktop, web, and mobile apps and the cloud. Working with distributed, cross-user data is as easy as working with local-only data thanks to DataStore’s programming style, which leverages shared and distributed data without requiring extra code for offline and online scenarios. Utilizing AWS AppSync.

Analysis

Recognize how your iOS, Android, or online consumers behave. Create unique user traits and in-app analytics, or utilize auto tracking to monitor user sessions and web page data. To increase customer uptake, engagement, and retention, gain access to a real-time data stream, analyze it for customer insights, and develop data-driven marketing plans. Amazon Kinesis and Amazon Pinpoint are the driving forces.

API

To access, modify, and aggregate data from one or more data sources, including Amazon DynamoDB, Amazon Aurora Serverless, and your own custom data sources with AWS Lambda, send secure HTTP queries to GraphQL and REST APIs. Building scalable apps that need local data access for offline situations, real-time updates, and data synchronization with configurable conflict resolution when devices are back online is made simple with Amplify. powered by Amazon API Gateway and AWS AppSync.

Functions

Using the @function directive in the Amplify CLI, you can add a Lambda function to your project that you can use as a datasource in your GraphQL API or in conjunction with a REST API. Using the CLI, you can modify the Lambda execution role policies for your function to gain access to additional resources created and managed by the CLI. You may develop, test, and deploy Lambda functions using the Amplify CLI in a variety of runtimes. After choosing a runtime, you can choose a function template for the runtime to aid in bootstrapping your Lambda function.

GEO

In just a few minutes, incorporate location-aware functionalities like maps and location search into your JavaScript online application. In addition to updating the Amplify Command Line Interface (CLI) tool with support for establishing all necessary cloud location services, Amplify Geo comes with pre-integrated map user interface (UI) components that are based on the well-known MapLibre open-source library. For greater flexibility and sophisticated visualization possibilities, you can select from a variety of community-developed MapLibre plugins or alter embedded maps to fit the theme of your app. Amazon Location Service is the driving force.

Interactions

With only one line of code, create conversational bots that are both interactive and captivating using the same deep learning capabilities that underpin Amazon Alexa. When it comes to duties like automated customer chat support, product information and recommendations, or simplifying routine job chores, chatbots can be used to create fantastic user experiences. Amazon Lex is the engine.

Forecasts

Add AI/ML features to your app to make it better. Use cases such as text translation, speech creation from text, entity recognition in images, text interpretation, and text transcription are all simply accomplished. Amplify makes it easier to orchestrate complex use cases, such as leveraging GraphQL directives to chain numerous AI/ML activities and uploading photos for automatic training. powered by Amazon Sagemaker and other Amazon Machine Learning services.

PubSub

Transmit messages between your app’s backend and instances to create dynamic, real-time experiences. Connectivity to cloud-based message-oriented middleware is made possible by Amplify. Generic MQTT Over WebSocket Providers and AWS IoT services provide the power.

Push alerts

Increase consumer interaction by utilizing analytics and marketing tools. Use consumer analytics to better categorize and target your clientele. You have the ability to customize your content and interact via a variety of channels, such as push alerts, emails, and texts. Pinpoint from Amazon powers this.

Keeping

User-generated content, including images and movies, can be safely stored on a device or in the cloud. A straightforward method for managing user material for your app in public, protected, or private storage buckets is offered by the AWS Amplify Storage module. Utilize cloud-scale storage to make the transition from prototype to production of your application simple. Amazon S3 is the power source.

Ship

Summary

Static web apps can be hosted using the Amplify GUI or CLI.

Amplify Hosting

Fullstack web apps may be deployed and hosted with AWS Amplify’s fully managed service, which includes integrated CI/CD workflows that speed up your application release cycle. A frontend developed with single page application frameworks like React, Angular, Vue, or Gatsby and a backend built with cloud resources like GraphQL or REST APIs, file and data storage, make up a fullstack serverless application. Changes to your frontend and backend are deployed in a single workflow with each code commit when you simply connect your application’s code repository in the Amplify console.

Manage and scale

Summary

To manage app users and content, use Amplify Studio.

Management of users

Authenticated users can be managed with Amplify Studio. Without going through verification procedures, create and modify users and groups, alter user properties, automatically verify signups, and more.

Management of content

Through Amplify Studio, developers may grant testers and content editors access to alter the app data. Admins can render rich text by saving material as markdown.

Override the resources that are created

Change the fine-grained backend resource settings and use CDK to override them. The heavy lifting is done for you by Amplify. Amplify, for instance, can be used to add additional Cognito resources to your backend with default settings. Use amplified override auth to override only the settings you desire.

Personalized AWS resources

In order to add custom AWS resources using CDK or CloudFormation, the Amplify CLI offers escape hatches. By using the “amplify add custom” command in your Amplify project, you can access additional Amplify-generated resources and obtain CDK or CloudFormation placeholders.

Get access to AWS resources

Infrastructure-as-Code, the foundation upon which Amplify is based, distributes resources inside your account. Use Amplify’s Function and Container support to incorporate business logic into your backend. Give your container access to an existing database or give functions access to an SNS topic so they can send an SMS.

Bring in AWS resources

With Amplify Studio, you can incorporate your current resources like your Amazon Cognito user pool and federated identities (identity pool) or storage resources like DynamoDB + S3 into an Amplify project. This will allow your storage (S3), API (GraphQL), and other resources to take advantage of your current authentication system.

Hooks for commands

Custom scripts can be executed using Command Hooks prior to, during, and following Amplify CLI actions (“amplify push,” “amplify api gql-compile,” and more). During deployment, customers can perform credential scans, initiate validation tests, and clear up build artifacts. This enables you to modify Amplify’s best-practice defaults to satisfy the operational and security requirements of your company.

Infrastructure-as-Code Export

Amplify may be integrated into your internal deployment systems or used in conjunction with your current DevOps processes and tools to enforce deployment policies. You may use CDK to export your Amplify project to your favorite toolchain by using Amplify’s export capability. The Amplify CLI build artifacts, such as CloudFormation templates, API resolver code, and client-side code generation, are exported using the “amplify export” command.

Tools

Amplify Libraries

Flutter >> JavaScript >> Swift >> Android >>

To create cloud-powered mobile and web applications, AWS Amplify provides use case-centric open source libraries. Powered by AWS services, Amplify libraries can be used with your current AWS backend or new backends made with Amplify Studio and the Amplify CLI.

Amplify UI components

An open-source UI toolkit called Amplify UI Components has cross-framework UI components that contain cloud-connected workflows. In addition to a style guide for your apps that seamlessly integrate with the cloud services you have configured, AWS Amplify offers drop-in user interface components for authentication, storage, and interactions.

The Amplify Studio

Managing app content and creating app backends are made simple with Amplify Studio. A visual interface for data modeling, authorization, authentication, and user and group management is offered by Amplify Studio. Amplify Studio produces automation templates as you develop backend resources, allowing for smooth integration with the Amplify CLI. This allows you to add more functionality to your app’s backend and establish multiple testing and team collaboration settings. You can give team members without an AWS account access to Amplify Studio so that both developers and non-developers can access the data they require to create and manage apps more effectively.

Amplify CLI toolchain

A toolset for configuring and maintaining your app’s backend from your local desktop is the Amplify Command Line Interface (CLI). Use the CLI’s interactive workflow and user-friendly use cases, such storage, API, and auth, to configure cloud capabilities. Locally test features and set up several environments. Customers can access all specified resources as infrastructure-as-code templates, which facilitates improved teamwork and simple integration with Amplify’s continuous integration and delivery process.

Amplify Hosting

Set up CI/CD on the front end and back end, host your front-end web application, build and delete backend environments, and utilize Amplify Studio to manage users and app content.

Read more on Govindhtech.com

[xpertbytes]

Expert React & Laravel Solutions for Modern Businesses!

[asadmukhtarr]

APIs (Application Programming Interfaces) allow applications to communicate with each other. Laravel provides multiple ways to build APIs, and Sanctum is the most efficient method for token-based authentication. In this tutorial, we’ll build a secure REST API in Laravel 12 using Sanctum with authentication, CRUD operations, and middleware protection.

[pythonfullstackmasters]

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[abdelfattah-ragab]

Angular HTTP: Connecting to the REST API by Abdelfattah Ragab

In this book, I explain everything you need to know about connecting to backend Rest APIs from your Angular application. In this book, I will show you how to invoke different methods like GET, POST, and the like, how to use interceptors to inject an authentication token into every outgoing request, and much more. We will cover all areas of calling Rest APIs with Angular. By the end of this book, you will be able to call Rest APIs from your Angular application in any scenario. Let us get started.

The e-book is only available on the author's website https://books.abdelfattah-ragab.com with amazing discounts of up to 40%.

[aoflima]

Deploy Oracle GoldenGate on Kubernetes with Helm

If you are looking to set up Oracle GoldenGate on a Kubernetes cluster using a Helm chart, you will need to define the configuration in a way that Helm understands. Helm charts are a great way to manage Kubernetes applications because they let you package all the necessary resources and settings together in one place. Here is a simple example of a basic Helm chart structure for deploying Oracle…

[lineeshkumar]

How Can a Multilingual Content Moderation API Help Your Business?

The artificial intelligence startup Mistral has announced the launch of a new API for content moderation, designed to ensure greater security and adequacy on various digital platforms. This API is the same technology that powers moderation on Mistral's Le Chat platform and stands out for being adaptable to different applications and security standards.

AI Image

A Powerful and Flexible Moderation Model

At the core of this tool is Ministral 8B, a model tuned and trained to classify texts into nine specific categories: sexual content, hate and discrimination, violence and threats, dangerous and criminal content, self-harm, health, financial, legal issues, and personally identifiable data (PII). This approach allows the API to be applied to both general texts and more complex conversations, expanding its scope for developers and businesses looking to protect their online communities.

In a statement, Mistral underscored the importance of offering more robust and scalable moderation solutions. "We have observed a growing enthusiasm in the industry and the research community for AI-based moderation systems that can be more robust and adaptable to different applications," they said in their blog.

Advantages and Challenges of Automated Moderation

The use of AI-powered moderation systems promises to make it easier to manage large volumes of content while maintaining a safe environment for users. However, they also present challenges. Previous models of moderation have been criticized for biases, such as misinterpreting phrases in African-American Vernacular English (AAVE) as disproportionately "toxic." In addition, some systems tend to mark discussions about disability as negative or problematic, which can perpetuate stigmas and limit online expression.

Mistral acknowledges that although his model shows high levels of accuracy, there is still room for improvement.

Competition and Possible Comparisons

An interesting point is that Mistral did not compare its API directly with other well-known ones, such as Jigsaw Perspective's moderation API or OpenAI's, which leaves open curiosity about how it positions itself in terms of accuracy and effectiveness against these options. This detail may indicate that the company seeks to first establish itself in the market before making public comparisons or simply that it considers its most specialized and unique approach.

A Path to Customizable Moderation

One of the most attractive aspects of this API is its ability to be customized. Companies and developers can adapt the tool to meet their own security standards and policies, making the moderation process not only automated but also aligned with their values and needs.

[govindhtech]

Azure Storage Actions: Serverless data management

The public preview of Azure Storage Actions, a fully managed platform that enables you to automate data management tasks for Azure Blob Storage and Azure Data Lake Storage, is being announced with great excitement.

Data management is becoming increasingly difficult for organizations as their data estates grow exponentially. For businesses to fully utilize their data assets, adhere to compliance requirements, cut expenses, and protect sensitive data, effective data management is crucial. Increasing resource investments to manage data at the same pace as the increase in data volumes is unsustainable, and the tools and methods available today to manage massive data assets are laborious. Customers using storage need an effective system to manage billions of objects across thousands of datasets, consistently and holistically, across all regions.

With a quicker time to value, Azure Storage Actions revolutionizes how you manage massive data assets in your object storage and data lakes. Without requiring any resource provisioning or management, its serverless architecture offers a dependable platform that grows to meet your data management requirements. Without the need for programming knowledge, you can define the conditional logic for processing objects using a no-code experience.

With a few clicks, the tasks you create can safely operate on several datasets with comparable requirements. By providing views that provide an overview of results at a glance, in addition to filters and drilldowns for more detail, monitoring overhead is reduced. For Azure Blob Storage and Azure Data Lake Storage, this release supports cost optimization, data protection, rehydration from archive, tagging, and a number of additional use cases.

The operation of Azure Storage Actions

You can quickly create, verify, and implement data management tasks by using Azure Storage Actions. These jobs can be set up to run on demand or according to a schedule.

You can create a condition that specifies the blobs and operations you want to perform on using the Azure portal interface. Without taking any action, you can safely verify the condition against your production data using the integrated validation experience, which displays the blobs that meet the condition and the operations that would be performed on them if the task were executed.

Any storage account within the same Microsoft Entra ID tenant can have tasks assigned to it to execute. When necessary, the service automatically sets up, scales, and optimizes the resources for either ongoing or one-time task execution. Aggregate metrics and dashboards provide a visual summary of operations and allow you to drill down into more in-depth reports with minimal intervention when and where needed.

REST APIs and the Azure SDK are additional programmatic means of controlling Azure Storage Actions. PowerShell, Azure Resource Manager (ARM) templates, and Azure Command-Line Interface (CLI) are all supported.

Supported operations: This release supports all built-in operations on Azure Blob Storage and Azure Data Lake Storage, such as adjusting tiers, controlling blob expiry, deleting or undeleting blobs, and setting time-based retention. Additional operations will be supported by the feature in future releases.

The rationale behind utilizing Azure Storage Actions

Utilizing Azure Storage Actions to automate your data management processes has the following benefits:

Reduces the amount of work needed to automate routine data management tasks, which increases productivity.

Reduces the overhead associated with managing or provisioning infrastructure.

Offers confidence through the no-code interface’s integrated validation experience for error-free application to your production data.

Makes reuse easier by allowing you to create a task once and quickly deploy it to any storage account.

Promotes the consistent application of metadata and blob tags in conditions and operations.

Use cases examples

Thousands of data sets with a variety of object types that are needed for different kinds of processing can be found in large data lakes. Individual objects within a blob container may need different tiering transitions, distinct labels for tagging, distinct retention or expiry periods, and other requirements based on their attributes. Tasks that scan billions of blobs, analyze each one based on dozens of properties (file extension, naming pattern, index tags, blob metadata, or system properties like creation time, content type, blob tier, and more), and decide how to handle each one can be defined with Azure Storage Actions.

This method can simplify a wide range of recurrent or one-time use cases, such as:

Depending on object tags, retention, and expiration: One of Azure’s international clients in the financial services industry uses Azure Blob Storage to ingest call recordings from customer support agents. These recordings contain blob tags that indicate when an order was placed for trading, when an account was updated, and other information. Depending on the type of call, these recordings have different retention requirements. Now, they can use Azure Storage Actions to create a task that uses a combination of blob tags and creation time to automatically manage the retention and expiry durations of ingested recordings.

Flexible data protection in datasets: Although blob versioning and snapshots are used by a prominent travel services company customer, the thousands of datasets in the storage account have varying data protection needs. Certain datasets must have a strict version history maintained, but others do not require this kind of security. It is prohibitively expensive to preserve the full blob version and snapshot history for every dataset in their storage account. They can now flexibly manage the appropriate retention and lifecycle of versions and snapshots for their datasets by using tags and metadata with Azure Storage Actions.

Cost optimization based on file types and naming conventions: A lot of Azure Storage users also need to control blob tiering, expiration, and retention according to file types, naming conventions, or path prefixes. To process the objects as desired, these attributes can be combined with blob properties like size, creation time, last modified or last accessed times, access tier, version counts, and more.

Processing blobs on demand at scale: Azure Storage Actions can be used for processing billions of objects on demand in addition to continuous data management tasks. For example, you can set up tasks to clean up redundant and outdated datasets, reset tags on a portion of a dataset when an analytic pipeline needs to be restarted, or initialize blob tags for a new or modified process. You can also define tasks to rehydrate large datasets from the archive tier.

How to begin using Azure Storage Actions

We cordially request that you check out Azure Storage Actions for object storage data management. During the preview, you can test the feature for free and only pay for the transactions that are initiated on your storage account. Before the feature’s widespread release, pricing details will be released. Please visit the feature support page to view the list of supported regions. Start by using the quickstart guide to quickly create and complete your first data management task. Please refer to the documentation for further information.

Read more on Govindhtech.com

[nit2023]

Django Online Training — Naresh IT

Django Online Training — Naresh IT

Link: https://nareshit.com/courses/django-online-training

Are you eager to unlock the full potential of Django paired with REST API for your web development projects? Look no further! Our comprehensive online training course is designed to equip you with the skills and knowledge needed to harness the power of Django and REST API seamlessly.

Why Choose Django with REST API Online Training?

In today’s digital landscape, building robust web applications requires a solid foundation in both Django and REST API. Our online training course offers the perfect

blend of theory and hands-on practice, allowing you to:

1.Gain In-Depth Understanding: Dive deep into Django’s MVC architecture and understand how RESTful APIs complement Django’s capabilities.

2.Build Scalable Web Applications: Learn to design and develop scalable web applications by leveraging Django’s built-in features and REST API principles.

3.Enhance Your Career Prospects: With Django being a popular framework and REST API being a widely-used architectural style, mastering these technologies can significantly enhance your career prospects in the field of web development.

4.Flexible Learning: Access our online training course from anywhere, at any time, and proceed at your own pace. Whether you’re a beginner or an experienced developer looking to upskill, our course caters to all skill levels.

What You’ll Learn in Our Django with REST API Online Training Course

1.Setting Up Your Development Environment: Get started with installing Django and setting up your development environment for building RESTful APIs.

2.Understanding Django Basics: Familiarize yourself with Django’s core concepts, including models, views, templates, and URLs.

3.Creating RESTful APIs: Learn how to design and implement RESTful APIs using Django Rest Framework (DRF) to facilitate seamless communication between your frontend and backend.

4.Authentication and Authorization: Explore various authentication methods supported by DRF and implement user authentication and authorization in your Django applications.

5.Serializers and Viewsets: Master the use of serializers and viewsets in DRF to serialize Django model instances into JSON format and define the behavior of your API endpoints.

6.Testing and Debugging: Discover best practices for testing and debugging Django applications with REST API endpoints to ensure robustness and reliability.

7.Deploying Django Applications: Learn how to deploy your Django applications with REST API endpoints to popular hosting platforms like Heroku or AWS.

Enroll Today and Kickstart Your Journey to Django Mastery!

Ready to embark on your journey to becoming a Django expert with a strong grasp of RESTful APIs? Enroll in our online training course today and take the first step

towards advancing your career in web development. With our expert-led instruction, hands-on projects, and flexible learning options, you’ll be well-equipped to tackle any web development challenge that comes your way.

Don’t miss out on this opportunity to level up your skills and stand out in the competitive landscape of web development. Join our Django with REST API online training course now and unleash your full potential!

[dietechrecruiter]

[Hiring] [Remote] [Germany] - C# .NET CORE DEVELOPER [mwd]

🚀 C#/.NET Core Developer [m/w/d] gesucht!

📌 Deine Chance auf eine spannende Festanstellung!

Bist du bereit, deine Karriere auf das nächste Level zu heben? Wir suchen im Auftrag eines innovativen Softwareentwicklungsunternehmens einen erfahrenen C#/.NET Core Developer mit Typescript Know-how.

🎯 Deine Mission:

Du arbeitest gemeinsam mit einem motivierten Team daran, Softwarelösungen zu entwickeln, die den Energieverbrauch in Gebäuden transparent machen. Deine Hauptaufgaben umfassen die Backend-Entwicklung mit modernen Technologien wie Angular/Typescript, sowie die Optimierung von Softwarelösungen für eine nahtlose Systemintegration.

👨‍💻 Dein Skillset:

Mindestens 4 Jahre Erfahrung als Softwareentwickler

Fundierte Kenntnisse in C#, .NET Core

Idealerweise Blazor und/oder Kafka Know-How

Erfahrung in agilen Teams und der Entwicklung von End-to-End-Lösungen

Deutschkenntnisse auf C2-Niveau und Englischkenntnisse auf B2/C1-Niveau

💡 Warum du dich bewerben solltest:

100% Remote-Arbeit möglich

Attraktives Gehalt: 70.000€ - 80.000€

Flexible Arbeitszeiten und 30 Tage Urlaub

Persönliche Weiterentwicklung durch Community of Practice und moderne Technologien

📍 Standort: Remote mit monatlichen Treffen in Hamburg

📄 Vertragsart: Festanstellung

#CSharp #DotNetCore #RESTAPI #SoftwareDeveloper #RemoteJob #TechCareer #Festanstellung #Hamburg #Softwareentwicklung #BackendDevelopment #Agile #JobOpportunity

[asadmukhtarr]

Laravel and Vue.js are a powerful combination for building modern web applications. Laravel 12 is a PHP framework that excels at building robust backends, while Vue.js 3 is a progressive JavaScript framework that allows you to build interactive, dynamic front-end applications.

In this tutorial, we will show you how to use Laravel 12 to create an API backend and then use Vue.js 3 to interact with that API. This setup will allow you to create a full-stack application, where the frontend (Vue.js) interacts with the backend (Laravel API) seamlessly.

[getlearntech]

Top 30 - Rest API Interview Questions

[cloudastra1]

REST API S3: Simplifying AWS S3 Interactions

REST API S3 enables seamless interaction with Amazon Web Services (AWS) Simple Storage Service (S3) using RESTful APIs. This approach allows developers to efficiently manage data within S3 buckets through standard HTTP methods such as GET, PUT, POST, DELETE, and HEAD. By utilizing REST API S3, developers can perform a variety of operations including uploading files, retrieving objects, deleting data, and listing bucket contents. This integration facilitates the automation of workflows, secure data management, and the building of scalable cloud-based applications. REST API S3 ensures that developers have programmatic control over their S3 resources, enhancing flexibility and efficiency in cloud storage management.