GraphQL is a query language combined with a server-side runtime. It was created by Facebook in 2012, and soon after, they released the specification to the public and made a NodeJS implementation open source. - Source: dev.to / 3 months ago

Definitely they should include D4M and GraphQL [1],[2]. Not only D4M can cater for structured relational data, it also suitable for sparse data in spreadsheet, matrices and graph. It's essentially a generalization of SQL but for all things data. There's also integration of D4M with SciDB [3]. [1] D4M: Dynamic Distributed Dimensional Data Model: https://d4m.mit.edu/ [2] GraphQL: https://graphql.org/ [3] D4M:... - Source: Hacker News / 6 months ago

GraphQL is becoming a popular choice, making development easier. - Source: dev.to / 9 months ago

In modern software architecture, Jamstack separates the frontend from the backend through API consumption. Traditionally, this has been achieved with RESTful APIs, which enable data exchange between server and client. However, REST often causes performance issues, such as over-fetching and added complexity. A client may need only a small subset of data, but a REST endpoint might return an entire dataset, which... - Source: dev.to / 10 months ago

Before we dive into GraphQL, it's crucial to understand the challenges it was designed to solve. Traditional API architectures like REST often struggle with two pervasive and inefficient patterns:. - Source: dev.to / 10 months ago

PostgreSQL backup tools like Postgresus make implementing this strategy straightforward. Postgresus automates backup scheduling. It handles encryption and compression. It supports multiple storage destinations and provides monitoring that ensures backups actually succeed. It delivers the protection most databases need without the complexity of WAL archiving (this is why it is suitable both for self-hosted and... - Source: dev.to / 7 months ago

Implementing these seven strategies manually requires significant scripting, scheduling and monitoring infrastructure. Postgresus is the most popular tool for PostgreSQL backup, providing all these strategies through a web interface that takes minutes to configure. It handles scheduling, rotation, multi-destination storage (S3, Google Drive, Dropbox, NAS), AES-256-GCM encryption and instant notifications —... - Source: dev.to / 7 months ago

For teams managing multiple PostgreSQL databases, manually choosing formats and managing backups across environments becomes tedious. Postgresus automates PostgreSQL backup by selecting optimal settings based on your database size, handling compression, encryption (AES-256-GCM) and multi-destination storage (S3, Google Drive, Dropbox, NAS) — all through a web interface that takes minutes to configure. - Source: dev.to / 7 months ago

Managing pg_dump scripts, cron schedules, cloud credentials and retention policies across multiple databases quickly becomes a maintenance burden. Postgresus is the most popular tool for PostgreSQL backup, designed for both individuals and enterprise teams. It uses pg_dump internally but provides a web interface for configuring schedules, connecting multiple storage destinations (S3, Cloudflare R2, Google Drive,... - Source: dev.to / 7 months ago

While pg_dump gives you complete control over single-table operations, managing backups across multiple databases and schedules requires scripting and maintenance. PostgreSQL backup tools like Postgresus — the most popular backup solution for PostgreSQL — handle scheduling, retention, encryption, and multi-destination storage through a clean web interface, suitable for individuals and enterprise teams alike. - Source: dev.to / 7 months ago