# CRUD CRUD is an acronym for the create, read, update, and delete operations performed on stored data. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## How to connect Neon Postgres as a database backend for Webflow Cloud DevFeed: [How to connect Neon Postgres as a database backend for Webflow Cloud]() Original publisher: [Read original article]() Author: Ismail Ajagbe Published: 2026-09-12T00:00:00Z Content type: tutorial Language: en Sources: [Webflow Blog]() Topics: [Database](), [Workers](), [Next.js](), [CRUD](), [Node.js](), [API]() Tags: [api](), [backend](), [cloudflare-workers](), [database](), [guides](), [how-to](), [next-js](), [node-js](), [postgres](), [webflow]() ### AI overview A practical guide to connecting Neon Postgres to a Webflow Cloud project running Next.js on Cloudflare Workers. It explains why Neon's HTTP driver fits the Workers runtime and covers project creation, connection configuration, querying, and deployment. ### Source excerpt Learn how to set up Neon Postgres as a database backend for Webflow Cloud. ## Building async Python applications with Tortoise ORM and Amazon Aurora DSQL DevFeed: [Building async Python applications with Tortoise ORM and Amazon Aurora DSQL]() Original publisher: [Read original article]() Author: Lasita Bhattacharya Published: 2026-09-09T15:27:43Z Content type: tutorial Language: en Sources: [AWS Database Blog]() Topics: [DSQL](), [Concurrency](), [AWS IAM](), [Database](), [CRUD]() Tags: [advanced-300](), [amazon-aurora](), [concurrency](), [database](), [dsql](), [how-to](), [iam](), [orm](), [postgresql](), [python](), [rideshare](), [serverless](), [technical-how-to]() ### AI overview A tutorial for building a high-concurrency asynchronous Python rideshare application with Tortoise ORM and Amazon Aurora DSQL. It covers UUID-based models, IAM-authenticated asyncpg connections, OCC retry handling, and asynchronous CRUD operations. ### Source excerpt Build a high-concurrency async Python rideshare application with Tortoise ORM and Amazon Aurora DSQL. This post walks through the key adaptations: UUID primary keys, IAM-authenticated asyncpg connections with a connection-pool patch, individual DDL execution, and optimistic concurrency control (OCC) retry logic. ## How we shipped a production API out of one Slack thread DevFeed: [How we shipped a production API out of one Slack thread]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-27T14:09:14Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [API](), [Slack](), [CRUD]() Tags: [agents](), [api](), [merge](), [production](), [pull-requests](), [rest](), [security](), [slack]() ### AI overview WorkOS describes how its IT Contact API was shipped from a single Slack thread. Humans made product and design decisions and gated the merge, while agents handled tickets, pull requests, review responses, and merges. The discussion shaped the API from an initial RPC proposal toward REST and resolved security, deletion, and duplicate-creation questions. ### Source excerpt The WorkOS IT Contact API went live on August 18 out of a single Slack thread. Humans made the decisions and gated the merge; agents did everything else. ## Why CRUD APIs Stop Teaching New Lessons After Basic Production Problems Are Solved DevFeed: [Why CRUD APIs Stop Teaching New Lessons After Basic Production Problems Are Solved]() Original publisher: [Read original article]() Author: hello@ankit-rana.com Published: 2026-08-02T00:00:00Z Content type: opinion Language: en Sources: [Ankit Rana | Mechanical Sympathy]() Topics: [CRUD](), [REST API](), [Back end](), [SQL](), [Latency](), [Network](), [Redis]() Tags: [api](), [backend](), [cache-invalidation](), [career](), [crud](), [latency](), [learning](), [network](), [schema](), [schema-design](), [system-design]() ### AI overview A small CRUD API teaches backend fundamentals such as validation, schema design, migrations, query behavior, connection pooling, and cache invalidation. After those issues are understood, developers may need more complex failure domains involving cross-service contracts, event ordering, and slow downstream calls to continue learning. ### Source excerpt A todo CRUD API teaches real things, including validation, schema design, the N+1 query, index selection, pool sizing, and cache invalidation, and then it goes quiet. Boredom arriving right after you fix those once is not laziness; it is the signal that the problem stopped presenting decisions you have not already seen. The move is up the stack, to a failure domain with cross-service contracts, event ordering, and downstream calls that hang. ## How to build an invoice generator app in Webflow Cloud with Next.js and SQLite DevFeed: [How to build an invoice generator app in Webflow Cloud with Next.js and SQLite]() Original publisher: [Read original article]() Author: Ismail Ajagbe Published: 2026-07-25T00:00:00Z Content type: tutorial Language: en Sources: [Webflow Blog]() Topics: [webflow](), [Next.js](), [SQLite](), [CRUD](), [Workers](), [JavaScript](), [Node.js](), [npm](), [GitHub]() Tags: [app](), [cloud](), [code](), [data](), [github](), [guides](), [how-to](), [infrastructure](), [javascript](), [next-js](), [node](), [node-js](), [sqlite](), [webflow](), [workers]() ### AI overview A tutorial for building an invoice generator in Webflow Cloud with Next.js and SQLite. It covers storing invoice records, creating and listing them through route handlers, generating downloadable PDFs at the edge with a pure-JavaScript library, building the form, and deploying the app. ### Source excerpt Learn how to build an invoice generator app in Webflow Cloud with a Next.js project, a SQLite database, and edge-compatible PDF generation using pdf-lib. ## How to Design APIs DevFeed: [How to Design APIs]() Original publisher: [Read original article]() Author: Saurabh Dashora Published: 2026-06-02T06:41:25Z Content type: tutorial Language: en Sources: [System Design Codex]() Topics: [API](), [Architecture & Design](), [interface](), [CRUD](), [GraphQL](), [gRPC](), [HTTP](), [JSON](), [XML]() Tags: [api](), [apis](), [crud](), [graphql](), [how-to](), [http](), [interface](), [json](), [rest](), [rpc]() ### AI overview A tutorial on API design covering interface contracts, resource and endpoint naming, request and response formats, API paradigms, and modeling relationships between entities. ### Source excerpt Key considerations to keep in mind ## Pale Blue Spring Admin adds CRUD editing and custom UI snippets DevFeed: [Pale Blue Spring Admin adds CRUD editing and custom UI snippets]() Original publisher: [Read original article]() Author: Mike Yerou Published: 2026-05-14T11:57:06Z Content type: release Language: en Sources: [Rock and Null]() Topics: [CRUD](), [Spring Boot](), [Django Admin](), [jpa](), [Kotlin](), [ui]() Tags: [backend](), [crud](), [django-admin](), [infra](), [jpa](), [kotlin](), [spring-boot](), [ui]() ### AI overview The latest Pale Blue Spring Admin release adds create, update, and delete operations directly in the UI. It also introduces custom UI snippets for adding elements such as dashboard widgets and action buttons, extending the admin portal beyond its generated interface. ### Source excerpt Read-only is great, but editing is better. The latest update to Pale Blue Spring Admin introduces full CRUD functionality and custom UI snippets, making your Spring Boot admin panel as powerful as your favorite Python tools. ## How AI Coding Tools Are Raising Expectations for Junior Backend Developers DevFeed: [How AI Coding Tools Are Raising Expectations for Junior Backend Developers]() Original publisher: [Read original article]() Author: Eric Roby Published: 2026-03-17T12:02:13Z Content type: opinion Language: en Sources: [Eric Roby]() Topics: [Back end](), [Artificial Intelligence](), [AI Development](), [CRUD](), [Claude Code](), [codex](), [Docker](), [Kafka](), [Amazon Web Services]() Tags: [agentic-coding](), [ai](), [aws](), [backend](), [claude-code](), [codex](), [crud](), [developers](), [development](), [docker](), [junior-developers](), [kafka]() ### AI overview The article argues that AI coding tools are raising the expectations for junior backend developers. Basic CRUD implementation is becoming less distinctive, while employers may increasingly expect knowledge of systems such as Kafka, containerization with Docker, and deployment on AWS. It also emphasizes that developers still need to understand the fundamentals and the code AI produces. ### Source excerpt So why is it harder to get in? ## System Design: Principles for Maintainability, Scalability, and Reliability DevFeed: [System Design: Principles for Maintainability, Scalability, and Reliability]() Original publisher: [Read original article]() Author: hello@ankit-rana.com Published: 2026-03-16T00:00:00Z Content type: tutorial Language: en Sources: [Ankit Rana | Mechanical Sympathy]() Topics: [Maintainability](), [reliability](), [Scalability](), [Architecture & Design](), [data](), [Testing](), [observability](), [CRUD](), [Latency]() Tags: [architecture](), [crud](), [data-systems](), [debug](), [latency](), [maintainability](), [observability](), [reliability](), [scalability](), [system-design]() ### AI overview This article presents production system design around reliability, scalability, and maintainability. It discusses data building blocks beyond CRUD, fault containment, isolation, testing, recovery, observability, latency versus response time, and vertical versus horizontal scaling. ### Source excerpt Reliability, scalability, and maintainability rest on one distinction: a fault is a component-level anomaly, a failure is the system no longer delivering its service. Design to contain faults so they never become failures, and stay precise that latency is waiting time while response time is the full client-visible number. ## Laravel API Tutorial: Creating and Testing a RESTful API DevFeed: [Laravel API Tutorial: Creating and Testing a RESTful API]() Original publisher: [Read original article]() Author: ALEX BRADEN, SENIOR FULL-STACK DEVELOPER @ TOPTAL Published: 2026-02-03T05:00:00Z Content type: tutorial Language: en Sources: [Toptal Blog]() Topics: [Laravel](), [API](), [CRUD](), [Authentication](), [Routing (disambiguation)](), [Docker]() Tags: [api](), [apis](), [architecture](), [authentication](), [best-practices](), [docker](), [laravel](), [rest](), [routing](), [testing](), [tutorial]() ### AI overview A tutorial on building and testing a RESTful CRUD API with Laravel 12. It covers authentication with Sanctum, validation, error handling, pagination, consistent API Resources, and automated testing, while highlighting Laravel 12's Docker-based Sail environment and modern routing conventions. ### Source excerpt Laravel 12 modernizes API development with cleaner syntax, streamlined tooling, and developer-first conventions. Learn to build, secure, and test RESTful APIs with best practices and minimal setup. ## How Axess Intelligence Simplified Their Backend With Neon's Data API DevFeed: [How Axess Intelligence Simplified Their Backend With Neon's Data API]() Original publisher: [Read original article]() Author: Carlota Soto Published: 2025-11-20T17:49:48Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [API](), [CRUD](), [Authentication](), [Database](), [SQL](), [JSON](), [Back end](), [App]() Tags: [api](), [auth](), [authentication](), [backend](), [case-studies](), [database](), [development](), [engineering](), [http](), [json](), [mobile](), [platform](), [product](), [production](), [sql](), [token](), [workflow]() ### AI overview This article describes how Axess Intelligence simplified the backend for its mobile rewards app by combining Neon's PostgREST-compatible Data API with Better Auth and Neon branching. The Data API handles CRUD operations and returns JSON, while Better Auth issues JWTs for authenticated requests. Separate branch-specific Data API URLs support production, development, and feature environments with lower maintenance overhead. ### Source excerpt "We didn't want to spend unnecessary time writing CRUD logic or maintaining a backend. We just connected Better Auth and the Data API and started building. The best part: every Neon branch gets its own Data API URL" Mouaz Anan, Engineer at Axess Intelligence Axess Intelligence is... ## Design Decisions Behind app.build, a Prompt-to-App Generator DevFeed: [Design Decisions Behind app.build, a Prompt-to-App Generator]() Original publisher: [Read original article]() Author: Arseni Kravchenko Published: 2025-06-26T14:36:49Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [App](), [Code generation](), [Artificial Intelligence](), [CRUD](), [Finite-state machine](), [AI-assisted coding](), [Open Source](), [Web](), [Claude](), [cursor]() Tags: [agent](), [ai](), [app](), [code](), [code-generation](), [open-source](), [product](), [validation](), [web](), [web-apps]() ### AI overview This article explains the design decisions behind app.build, an open-source AI code generator for CRUD web applications. It prioritized reliability over advanced capabilities through limited scope, FSM-guided tree-search actors, extensive validation, and error-analysis feedback loops for context management. ### Source excerpt TL;DR: We built app.build, a reliable open-source AI code generator by: limiting initial scope to CRUD web apps, using FSM-guided tree-search actors, implementing extensive validation, and encapsulating context management using an error analysis feedback loop. These architectural... ## Recreating S3 in Postgres using PostgREST DevFeed: [Recreating S3 in Postgres using PostgREST]() Original publisher: [Read original article]() Author: Sam Harrison Published: 2025-05-27T19:18:37Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Database](), [API](), [CRUD](), [Provisioning](), [Python](), [backend-development](), [Server](), [data]() Tags: [api](), [data](), [database](), [files](), [object-storage](), [postgres](), [provisioning](), [python](), [server](), [sql](), [storage]() ### AI overview This article demonstrates how to build a simple file server in Postgres using PostgREST. It explains how PostgREST exposes database-backed CRUD endpoints and functions as RPC, while the implementation stores binary files and metadata in a database and accesses the resulting API through the Neon Data API. ### Source excerpt Storing files directly in a database is generally discouraged in favour of dedicated object storage like S3 or Azure Blob, which is the more scalable and cost-effective approach. However, in practice, you might sometimes find yourself putting binary data in a relational database... ## Simplifying back-end complexity with Supabase Data APIs DevFeed: [Simplifying back-end complexity with Supabase Data APIs]() Original publisher: [Read original article]() Author: Prashant Sridharan; Steve Chavez; Laurence Isla Published: 2025-05-17T07:00:00Z Content type: article Language: en Sources: [Supabase Blog]() Topics: [Supabase](), [API](), [backends](), [CRUD](), [Database](), [GraphQL](), [SQL](), [telemetry]() Tags: [accelerate](), [apis](), [back-end](), [cost](), [graphql](), [observability](), [product](), [reduce](), [rest](), [sql]() ### AI overview Supabase Data APIs automatically expose Postgres tables, views, stored procedures, and database functions through REST and GraphQL APIs. The article explains how this reduces custom CRUD endpoint development and infrastructure maintenance while retaining querying, relationships, RPC, connection pooling, observability, and custom endpoint options. ### Source excerpt Replace custom CRUD endpoints, reduce infrastructure complexity, and accelerate product delivery. ## Start building REST APIs with Django REST Framework DevFeed: [Start building REST APIs with Django REST Framework]() Original publisher: [Read original article]() Author: raffaelegrieco.it Published: 2025-05-13T09:45:18Z Content type: tutorial Language: en Sources: [Backend Job: skill, salary and insights - Codemotion Magazine]() Topics: [Django](), [API](), [Python](), [Framework](), [CRUD](), [Authentication](), [Authorization]() Tags: [api](), [authentication](), [authorization](), [backend](), [django](), [guide](), [how-to](), [json](), [process](), [python](), [rest-apis](), [routing](), [web-apis]() ### AI overview A step-by-step tutorial on building REST APIs with Django REST Framework in Python. It covers serializers, views, URL routing, CRUD operations, HTTP requests, authentication, authorization, filtering, throttling, pagination, and browsable API tools. ### Source excerpt Django REST Framework (DRF) is one of the most powerful and flexible tools for building RESTful APIs in Python. This article will guide you step by step through the process of creating your first API endpoint, covering the use of serializers, views, and URL routing. In my previous article, we discussed how to structure your... Read more The post Start building REST APIs with Django REST Framework appeared first on Codemotion Magazine. ## Django MongoDB Backend Quickstart DevFeed: [Django MongoDB Backend Quickstart]() Original publisher: [Read original article]() Author: Anaiya Raisinghani Published: 2025-05-06T12:00:00Z Content type: tutorial Language: en Sources: [Nic Raboy]() Topics: [Django](), [MongoDB](), [Back end](), [Python](), [Tutorial](), [CRUD](), [Database](), [web applications](), [Visual Studio Code]() Tags: [backend](), [code](), [database](), [django](), [mongodb](), [python](), [tutorial](), [visual-studio-code](), [web-applications]() ### AI overview A quickstart tutorial explains how to build a Django application, connect it to a MongoDB deployment hosted on MongoDB Atlas, and perform basic CRUD operations. It also covers prerequisites, cluster setup, sample data, and creating a Python virtual environment. ### Source excerpt Interested in diving into our Django MongoDB Backend integration? Follow along with this quickstart to create a Django application, connect that application to a MongoDB deployment, ensure your deploy... The post Django MongoDB Backend Quickstart appeared first on DEV. ## Build a Basic CRUD Application With Flask-PyMongo DevFeed: [Build a Basic CRUD Application With Flask-PyMongo]() Original publisher: [Read original article]() Author: Anaiya Raisinghani Published: 2025-04-26T00:37:28Z Content type: tutorial Language: en Sources: [Nic Raboy]() Topics: [Flask](), [Tutorial](), [MongoDB](), [CRUD](), [Database](), [Library](), [Development]() Tags: [build](), [code](), [database](), [flask](), [framework](), [mongodb](), [pymongo](), [python](), [tutorial](), [vscode]() ### AI overview This tutorial explains how to build a basic CRUD application with Flask-PyMongo and MongoDB. It introduces Flask, describes Flask-PyMongo's integration and configuration features, and outlines prerequisites including MongoDB Atlas, VSCode, and Python 3.10+. ### Source excerpt In this tutorial, we will dive head first into utilizing MongoDB's Flask-PyMongo library! We will build a basic CRUD (create, read, update, delete) Flask-PyMongo application and learn about how intuit... The post Build a Basic CRUD Application With Flask-PyMongo appeared first on DEV. ## Migrating from the MongoDB Data API to Supabase DevFeed: [Migrating from the MongoDB Data API to Supabase]() Original publisher: [Read original article]() Author: Prashant Sridharan Published: 2025-03-20T07:00:00Z Content type: tutorial Language: en Sources: [Supabase Blog]() Topics: [Supabase](), [MongoDB](), [REST API](), [PostgreSQL](), [JSON](), [CRUD](), [Databases](), [web applications]() Tags: [api](), [authentication](), [backend](), [database](), [frameworks](), [graphql](), [guide](), [json](), [mongodb](), [open-source](), [postgresql](), [rest](), [rest-api](), [web]() ### AI overview This guide explains how to migrate from MongoDB's deprecated Data API to Supabase. It presents Supabase as an open-source alternative with managed PostgreSQL, an automatically generated REST API through PostgREST, and integrated authentication, real-time features, file storage, and serverless functions. The migration process covers exporting MongoDB data, importing it as JSON, normalizing it with SQL, adapting API calls, and adding Supabase features. ### Source excerpt A guide to migrating from the MongoDB Data API to Supabase. ## Database Superpowers for Your AI Assistant using MCP DevFeed: [Database Superpowers for Your AI Assistant using MCP]() Original publisher: [Read original article]() Author: Scott Spence Published: 2025-03-20T00:00:00Z Content type: tutorial Language: en Sources: [Turso Blog]() Topics: [Model Context Protocol](), [Turso](), [Databases](), [MCP Server](), [Claude](), [CRUD](), [AI search]() Tags: [ai](), [ai-agents](), [ai-assistants](), [claude](), [database](), [mcp](), [mcp-server](), [turso]() ### AI overview This tutorial explains how to connect Claude and other AI assistants to Turso Cloud databases through an MCP server. It covers natural-language database queries, table and schema management, context retention across queries, and planned support for database branches, forks, and read-only tokens. ### Source excerpt Connect Claude and other AI assistants to Turso Cloud with an MCP server. Query databases, manage tables, and run vector search through natural language. ## Turso Adds Ruby on Rails Support DevFeed: [Turso Adds Ruby on Rails Support]() Original publisher: [Read original article]() Author: Levy Albuquerque Published: 2024-12-18T00:00:00Z Content type: article Language: en Sources: [Turso Blog]() Topics: [Turso](), [Rails](), [Ruby](), [Embedded Replicas](), [CRUD](), [migration]() Tags: [activerecord](), [embedded-replicas](), [latency](), [ruby](), [ruby-on-rails](), [sql](), [testing](), [turso]() ### AI overview Turso announces a technical-preview Ruby gem for ActiveRecord with Rails support. The article explains how to configure Turso in Rails, use embedded replicas to work offline and reduce network latency, run migrations, and perform CRUD operations. It also demonstrates usage with standalone Ruby applications and Sinatra. ### Source excerpt Today we are excited to announce the first technical preview of the Rubygem for ActiveRecord that supports Rails. ## Bring Relational Power to Firebase with Firebase Data Connect DevFeed: [Bring Relational Power to Firebase with Firebase Data Connect]() Original publisher: [Read original article]() Author: Nui Somjin Published: 2024-12-17T14:09:33Z Content type: tutorial Language: en Sources: [Firebase Developers - Medium]() Topics: [Firebase](), [Databases](), [PostgreSQL](), [GraphQL](), [Cloud](), [SDKs](), [Authorization](), [CRUD]() Tags: [cloud](), [database](), [firebase](), [firebase-database](), [firestore](), [graphql](), [migrations](), [permissions](), [postgresql](), [schema](), [sdk](), [sql-database]() ### AI overview This tutorial introduces Firebase Data Connect, a relational database offering that uses PostgreSQL on Google Cloud and a GraphQL interface. It explains how developers define schemas and connectors while Firebase generates database schemas, migrations, type-safe SDKs, CRUD API endpoints, and authorization mechanisms. ### Source excerpt This article has been translated from its original blog post in Thai Many of us are familiar with Firebase as a robust Backend-as-a-Service, renowned for its NoSQL databases such as Realtime Database (since 2012) and Cloud Firestore (since 2017). However, both have limitations when handling complex queries. The Firebase community has long been requesting a SQL database solution to address redundancy and facilitate complex queries. At the recent Google I/O, Firebase introduced Firebase Data Connect, its first relational database offering 🎉 How Firebase Data Connect WorksApp data flow While Firebase Data Connect interacts with databases, it's more accurately described as an interface. Under the hood, it's leveraging PostgreSQL on GCP Cloud and providing a GraphQL-based bridge to connect clients with the SQL database. Firebase Data Connect capabilities that make working with PostgresSQL easier The Firebase team built Data Connect with the philosophy of 'You write the query, we do the rest.' Developers only need to define two things, and Firebase handles the rest, allowing developers to focus on their application's core logic. "You write the query, we do the rest"Firebase provides (in GraphQL): Data model (schema): This specifies the database schema, including the tables, columns, and data types. Connectors (queries & mutations): These define the operations for creating, reading, updating, and deleting data within the database. Firebase automatically creates: PostgresSQL schema: Generates the SQL commands to create the database structure in PostgreSQL, including migrations. Type-safe SDK: Provides a strongly-typed SDK for client applications (iOS, Android, Web, Flutter) to interact with the database. API Endpoints: Creates API endpoints for clients to perform CRUD operations on the database, complete with authorization mechanisms to control user permissions. For instance, all users might be able to view product listings, but only admins can add new products. We define D ## Higher-level CRUD Abstraction for Postgres RLS DevFeed: [Higher-level CRUD Abstraction for Postgres RLS]() Original publisher: [Read original article]() Author: David Gomes Published: 2024-11-13T17:09:49Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [PostgreSQL](), [Security](), [CRUD](), [SQL](), [API](), [App]() Tags: [api](), [app](), [code](), [data](), [postgres](), [postgresql](), [security](), [sql]() ### AI overview The article presents a higher-level CRUD abstraction for PostgreSQL Row-Level Security. It replaces repetitive, low-level policy definitions with a concise API that accepts roles and read or modification rules, then returns PostgreSQL policies for select, insert, update, and delete operations. ### Source excerpt Postgres Row-Level Security is notoriously difficult to comprehend and use. The policy access model for a todos table in a Todo List app can be declared as per the following table: Operation Using(applies to data being returned) Wich Check(applies to data being written) Select au... ## How to secure a REST API? DevFeed: [How to secure a REST API?]() Original publisher: [Read original article]() Author: Liran Tal Published: 2024-06-27T13:00:00Z Content type: tutorial Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [REST API](), [Security](), [API](), [Authentication](), [web applications](), [CRUD](), [Databases](), [SQL]() Tags: [api](), [application-security](), [authentication](), [awareness](), [backend](), [blog](), [code-security](), [data](), [developer](), [devrel](), [how-to](), [http](), [open-source-security](), [rest](), [rest-api](), [secure-software](), [security](), [snyk-code](), [snyk-open-source](), [web-applications](), [web-development]() ### AI overview This tutorial explains what REST APIs are, how they use HTTP to exchange data, and why their versatility creates security risks. It covers injection attacks, broken authentication, sensitive data exposure, and missing rate limiting, with examples including SQL injection, the 2018 Reddit breach, and the 2016 Dyn attack. ### Source excerpt In this post, we'll discuss what REST APIs are and how to secure them. ## How do I convert my Cron into a Schedule? DevFeed: [How do I convert my Cron into a Schedule?]() Original publisher: [Read original article]() Author: Quinn Klassen Published: 2023-12-18T05:00:00Z Content type: tutorial Language: en Sources: [Temporal Blog]() Topics: [Development](), [SDKs](), [CRUD](), [Command-line interface](), [Python](), [Go Language](), [Java](), [.NET]() Tags: [cli](), [crud](), [execution](), [go](), [how-to](), [java](), [net](), [python](), [scheduling](), [sdk](), [tutorial](), [visibility](), [workflow]() ### AI overview This tutorial explains how to replace traditional cron jobs with Temporal Schedules. It covers the migration process, Schedule CRUD operations through the SDKs, CLI, and UI, and examples for Python, Go, Java, and .NET. ### Source excerpt Converting a Cron into a Temporal schedule will will improve the durabililty of task execution and the visibility of schedule and workflow runs. [Next page]()