
AWS Lambda
Amazon API Gateway
Amazon S3
Google App Engine
DynamoDB
Google Cloud Functions
Amazon AWS
AWS Elastic Beanstalk
Postgresus
Open PostgreSQL Monitoring
Argus DBA
neon
pganalyze
Postgres Monitor
pgDash
Supabase
Postgresus is a free, open source and self-hosted tool to monitor PostgreSQL and make backups. With different storages and notifications about progress
Features: - Health checks each minute with availability chart - Save backups locally, to S3, Google Drive and more - Scheduled backups (daily, weekly, at 4 AM, etc.) - Notifications to email, Telegram, Slack, etc. - PostgreSQL from v13 to v17 supported
AWS Lambda
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Postgresus's answer:
It is free and open source
Postgresus's answer:
Backend developers, DBAs and DevOps
Postgresus's answer:
This was the tool I developed for my own projects. Then I decided to go open source and joined GitHub
Postgresus's answer:
Golang, React, TypeScript and Docker
Based on our record, AWS Lambda seems to be a lot more popular than Postgresus. While we know about 297 links to AWS Lambda, we've tracked only 14 mentions of Postgresus. 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.
AWS Lambda is a service that runs your code without you managing any servers. You write your code, deploy it to Lambda, and it takes care of the infrastructure โ servers, networking, security, and scaling. - Source: dev.to / 2 months ago
Clay can replace the Lambda and API chain if you'd rather avoid custom code. You set up a Clay table as the enrichment layer, trigger it from Segment via webhook, and it handles the waterfall and CRM push without writing a function. The tradeoff: less control over scoring logic and higher cost per enriched contact. - Source: dev.to / about 2 months ago
To show why this matters, take a look at the following example. I have three AWS Lambda functions, Lambda being the serverless compute service, that each handle a different endpoint on the same API. But, almost everything about them is the same. They have the same runtime, the same memory configuration, and nearly the same structure. The only differences are the name, handler, and possibly some environment variables. - Source: dev.to / about 2 months ago
Query Expansion and Decomposition: Amazon Bedrock query expansion broadens search; AWS Lambda query decomposition breaks complex queries into sub-queries; AWS Step Functions orchestrates multi-step retrieval. - Source: dev.to / 2 months ago
You need to understand synchronous and asynchronous inference patterns, event-driven architectures using Amazon EventBridge, workflow orchestration with AWS Step Functions, data processing with AWS Lambda, state management with Amazon DynamoDB, and security with AWS Identity and Access Management (IAM). The exam tests your ability to design serverless architectures that scale automatically, handle failures... - Source: dev.to / 3 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 โ... - 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) โ 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 โ the most popular backup solution for PostgreSQL โ 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
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
Open PostgreSQL Monitoring - Oversee and Manage Your PostgreSQL Servers
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Argus DBA - Monitor the availability of your PostgreSQL clusters with instant alerts. Lightweight agent, no open ports, free to start.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
neon - Neon - Showreel 2016-17. Info. Shopping. Tap to unmute. If playback doesn't begin shortly, try restarting your device.