Modern DynamoDB IDE Client. Accelerate DynamoDB workflow with sleek Admin UI, visual query builder, codegen and more! Available for Mac, Windows & Linux.
Based on our record, Google App Engine should be more popular than Dynobase.dev. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I use recommend taking a look at Dynobase, written by an AWS Dynamodb team affiliate and also https://retool.com/integrations/aws-dynamodb. Source: over 2 years ago
Have you seen Dynobase? https://dynobase.dev. - Source: Hacker News / over 3 years ago
There are reasonably better alternatives: - DynamoDB Workbench (free, AWS official): https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/workbench.html - Dynobase (paid, third-party): https://dynobase.dev/. - Source: Hacker News / over 3 years ago
Moreover, the ecosystem of DynamoDB is constantly growing. There are more and more tools providing useful abstractions like DynamoDB Toolbox by Jeremy Daly for working with single-table design, Dynamoose for ORM-like experience, AWS Amplify which hides the DynamoDB layer from the programmer completely, or Dynobase which helps you in navigating between profiles, regions, tables and exploring datasets. - Source: dev.to / almost 4 years ago
Making DynamoDB more accessible with Rafal Wilinski (Real World Serverless Podcast)— DynamoDB continues to grow in popularity, with how well it fits with serverless architectures, more and more companies are choosing to go with managed, highly-integrated, NoSQL database options like DynamoDB. In this podcast episode, Rafal talks through lots of things DynamoDB in his journey creating Dynobase, which is a DynamoDB... - Source: dev.to / about 4 years ago
If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined, about a decade later, by 2nd generation services, GCR and Cloud Functions (GCF). GCF is somewhat out-of-scope for this post so I'll cover that another time. - Source: dev.to / 4 months ago
As Windsales Inc. expands, it adopts a PaaS model to offload server and runtime management, allowing its developers and engineers to focus on code development and deployment. By partnering with providers like Heroku and Google App Engine, Windsales Inc. Accesses a fully managed runtime environment. This choice relieves Windsales Inc. Of managing servers, OS updates, or runtime environment behavior. Instead,... - Source: dev.to / 7 months ago
Google App Engine (GAE) is their original serverless solution and first cloud product, launching in 2008 (video), giving rise to Serverless 1.0 and the cloud computing platform-as-a-service (PaaS) service level. It didn't do function-hosting nor was the concept of containers mainstream yet. GAE was specifically for (web) app-hosting (but also supported mobile backends as well). - Source: dev.to / 7 months ago
In 2014, I took a web development on Udacity that was taught by Steve Huffman of Reddit fame. He taught authentication, salting passwords, the difference between GET and POST requests, basic html and css, caching techniques. It was a fantastic introduction to web dev. To pass the course, students deployed simple python servers to Google App Engine. When I started to look for work, I opted to use code from that... - Source: dev.to / 10 months ago
GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 11 months ago
Dynomate.io - A modern, developer-friendly interface for DynamoDB. Built with SSO, multi-session support, and seamless Git integration.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
IntelliJ DynamoDB - IntelliJ DynamoDB is a Professional DynamoDB GUI client for Windows, Mac, and Linux delivered as a plugin for JetBrains IDEs.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash
DynamoDB - Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.