๐ Maximize the Potential of a Well-Planned GraphQL Schema: Elevate Your Project! ๐
Looking to elevate your project? Discover the game-changing benefits of a well-planned GraphQL schema. ๐
In modern API development, GraphQL has revolutionized flexibility, efficiency, and scalability. A meticulously crafted schema lies at the core of every successful GraphQL implementation, enabling seamless data querying and manipulation. ๐ก
Explore the key advantages of a well-planned GraphQL schema for your project:
โค๏ธโ๐ฅ Precisely define data requirements for each API call. GraphQL's query language empowers clients to request specific data, reducing over-fetching and network traffic This control ensures lightning-fast responses and a superior user experience.
โค๏ธโ๐ฅ Act as a contract between frontend and backend teams, providing clear guidelines for data exchange. Developers can work independently on components, without waiting for API modifications. This decoupling accelerates development and project delivery.
โค๏ธโ๐ฅ Anticipate future data requirements by easily adding, modifying, and deprecating with a well-designed schema. This saves development time and prevents disruptive changes down the line, making your project adaptable and future-proof.
โค๏ธโ๐ฅ GraphQL's self-documenting nature serves as a comprehensive source of truth, eliminating ambiguity. Developers can effortlessly explore and understand data and relationships, boosting productivity and code quality.
โค๏ธโ๐ฅ GraphQL's ability to batch and aggregate data from multiple sources optimizes backend operations By intelligently combining and caching data, you can enhance application performance, delivering lightning-fast experiences to users.
Embrace the power of a well-planned GraphQL schema to transform your project and unlock endless possibilities. Optimize data fetching, simplify development workflows, future-proof your application, enhance developer experience, and improve performance. ๐ช
try GraphQL Editor now!
GraphQL Editor is recommended for software developers working with GraphQL who are looking for an intuitive and interactive way to design, understand, and collaborate on their GraphQL schemas. It is particularly beneficial for teams that value real-time collaboration and need tools that help in visualizing and documenting APIs.
No Vault by HashiCorp videos yet. You could help us improve this page by suggesting one.
GraphQl Editor might be a bit more popular than Vault by HashiCorp. We know about 6 links to it since March 2021 and only 5 links to Vault by HashiCorp. 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.
Before you start, just a friendly reminder that HashiQube by default runs Nomad, Vault, and Consul on Docker. In addition, weโll be deploying 21 job specs to Nomad. This means that weโll need a decent amount of CPU and RAM, so Please make sure that you have enough resources allocated in your Docker desktop. For reference, Iโm running an M1 Macbook Pro with 8 cores and 32 GB RAM. My Docker Desktop Resource... - Source: dev.to / almost 3 years ago
When running cron jobs on Amazon EC2, you can, for example, use a secrets store like Vault. With Vault, your cron jobs can dynamically get the credentials they need. The secrets donโt get stored on the machine thatโs running the cron jobs, and if you change a secret, the cron jobs will automatically receive that change. The downside of implementing a solution like Vault, however, is the overhead of managing the... - Source: dev.to / over 3 years ago
Vaultproject.io handles secrets management, so dynamic policies deal with database creds etc. "Manual" creds are stored in 1password or lastpass and added manually to Vault if it needs rebuilding. Source: over 3 years ago
It's all in the blog series, including sample configuration, but it's vaultproject.io and it allows you to do everything from managing simple secrets to auto-rotation of database credentials or even run your own KPI setup. Source: about 4 years ago
Our team is experimenting with Hashicorp Vault as our new credentials management solution. Thanks to the offical Vault Helm Chart, we are able to get an almost production-ready vault cluster running on our Kubernetes cluster with minimal effort. - Source: dev.to / over 4 years ago
Aside from the ones mentioned graphql editor has a bunch of features that are helpful for testing like a click-out creator and a built-in mock backend for testing queries. Source: over 2 years ago
I may be wrong, but something like graphqleditor is geared more towards setting up GraphQL API/server, in Supabase case, it's database - Postgres, is the server/API. Source: over 3 years ago
I've tried graphqleditor.com but I can't get my my supabase API url to connect [mysupabaseurl].supabase.co/graphql/v1. Source: over 3 years ago
Https://graphqleditor.com/ New version is available here. Source: almost 4 years ago
Make your schema and code to that. Here's a tool to help visualize. I've personally never found it useful, but maybe that's just me. Https://graphqleditor.com/. Source: almost 4 years ago
Doppler - Doppler is the multi-cloud SecretOps Platform developers and security teams trust to provide secrets management at enterprise scale.
Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.
KeePass - KeePass is an open source password manager. Passwords can be stored in highly-encrypted databases, which can be unlocked with one master password or key file.
GraphQL Playground - GraphQL IDE for better development workflows
Infisical - Infisical is an open source, end-to-end encrypted platform that lets you securely sync secrets and configs across your engineering team and infrastructure
graphql-yoga - ๐ง Fully-featured GraphQL Server with focus on easy setup, performance & great developer experience - prisma-labs/graphql-yoga