Amazon AWS Reviews

1. macloughlin

   · AV engineer · almost 3 years ago
   The best cloud platform out there

   You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.

   👍 Pros:    Great documentation|Website structure visualization|You have control over everything|Flexibility

   👎 Cons:    Learning curve|A lot of dashboards for different things

Qdrant Reviews

Amazon AWS mentions (485)

• Postgres rewritten in Rust, now passing 100% of the Postgres regression tests

  > but it's still a singleton instance, so where do you run it? Most hardware doesn't give you enough uptime for what you need here, because what you actually needed was a re-architecture for distribution / failover / whatever, and while you could ask your LLM to do that you aren't going to run your bank on the result. If only we had a way to solve these issues with tools capable of running Rust programs in that... - Source: Hacker News / 10 days ago

• My Experience Moving from AWS to Sevalla

  Not because infrastructure isn't important. It is. Not because Amazon Web Services (AWS) is a bad platform. It isn't. - Source: dev.to / about 1 month ago

• How to Use Pre-Signed S3 URLs for Direct Browser-to-Storage Uploads

  The AWS S3 documentation covers all of these in detail. The configuration takes about an hour to get right the first time and rarely needs changes after. - Source: dev.to / about 1 month ago

• Why Your File Upload Endpoint Times Out at 4GB

  The first pattern is direct-to-storage. The client uploads chunks directly to an object storage service like Amazon S3 using pre-signed URLs. The application server creates the upload session and grants permission but never sees the file bytes. This pattern scales well because the application servers do not handle the upload bandwidth. - Source: dev.to / about 1 month ago

• 7 Free Tools for Managing Secrets and Environment Variables in Web Projects

  AWS Secrets Manager provides managed secrets storage with automatic rotation for RDS databases, Redshift clusters, DocumentDB, and other common services. For applications running on AWS infrastructure, Secrets Manager integrates directly with Lambda, ECS, EKS, and EC2 at the platform level, injecting secrets into the application environment without requiring files on disk or manual retrieval code. - Source: dev.to / 2 months ago

Qdrant mentions (63)

• How to give Claude Code persistent memory with a self-hosted mem0 MCP server

  The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools for your Claude Code instance to manage long-term memory operations, and your memories data never leaves your machine. - Source: dev.to / 5 months ago

• The Database Zoo: Vector Databases and High-Dimensional Search

  Qdrant: Open-source vector database optimized for hybrid search and easy integration with ML workflows. - Source: dev.to / 8 months ago

• Java's Agentic Framework Boom is a Code Smell

  Yes, Java SDKs are critical. But you don't need to rebuild entire orchestration engines just to write agents in Java. The ecosystem already has platforms solving the hard problems: memory (Zep, Mem0, LangMem), tools (specialized platforms), vectors (Pinecone, Weaviate, Qdrant), observability (LangSmith, Helicone, Langfuse). Integrate, don't rebuild. - Source: dev.to / 9 months ago

• What is the Most Effective AI Tool for App Development Today?

  James Allsopp adds, "LangChain or LlamaIndex for managing LLM workflows, especially if you're adding vector search or documents." These tools handle multi-step processes, essential for complex apps. - Source: dev.to / 11 months ago

• 🔥 Build a RAG Chatbot That Talks to Your Documents Using Python (Gemma + Qdrant + Docling)

  📦 Qdrant for fast vector search and retrieval. - Source: dev.to / 12 months ago