mehmetakar Serverless Redis: Benefits, Use Cases, and Best Providers Now, with the rise of serverless computing, Serverless Redis has emerged as a way to bring the power of Redis to modern, scalable applications. In this article, we’ll dive into what serverless Redis is, its benefits, common use cases, and some of the best providers to consider. … Read more
If you’re building with Next.js, you already know how powerful it is for creating dynamic, full-stack applications with serverless capabilities. But choosing the right backend tools can be the difference between an app that struggles to scale and one that thrives under high demand. In this article, I’ll share some of the best databases, caching … Read more
Hi there! I’m Mehmet Akar, a database enthusiast who’s spent years designing scalable, cost-efficient systems. If you’ve ever built a multi-region serverless architecture, you probably know how tricky it can be to balance performance, reliability, and cost. In this article, I’ll explore general strategies for optimizing costs in multi-region serverless setups. I’ll also discuss tools … Read more
In recent years, vector search has become a key technology for building AI-powered systems like recommendation engines, semantic search, and image retrieval. However, scaling vector search efficiently—especially for large datasets—can be challenging. In this article, I’ll guide you through the basics of vector search, share some strategies for scaling it, and explore tools like Weaviate, … Read more
Hi there! I’m Mehmet Akar, a database enthusiast and a long-time advocate of modern, scalable backend solutions. If you’re like me, you’ve probably faced the challenges of implementing webhooks in serverless applications—making sure they’re reliable, fault-tolerant, and easy to manage. Webhooks are a critical part of many modern systems, but handling retries, failures, and scalability … Read more
Hi there! I’m Mehmet Akar, a database enthusiast who loves diving into the world of serverless architectures and modern backend technologies. Over the years, I’ve explored how serverless platforms like AWS Lambda, Google Cloud Functions, and Vercel make scaling applications a breeze, but I’ve also come across common bottlenecks and hidden costs that can quickly … Read more
Managed Redis services have become an essential part of modern cloud ecosystems, providing developers and businesses with high-performance, in-memory data solutions without the operational complexities of managing infrastructure. From major cloud providers like AWS and Google Cloud to niche players like Upstash and DragonflyDB, each managed Redis service offers unique features and advantages tailored to … Read more
Install pgvector on windows is the most asked issue by pgvector geeks. pgvector is a PostgreSQL extension that enables vector similarity search capabilities within PostgreSQL databases. While pgvector is widely used in AI and machine learning applications, installing it on Windows requires careful steps. This guide will walk you through the process. Prerequisites Before you … Read more
Pinecone vs Pgvector is the most wondered benchmarks of Vector DB Benchmarks. Let me deep dive! In the rapidly evolving field of vector databases, selecting the appropriate solution is crucial for applications involving machine learning, natural language processing, and AI-driven search functionalities. This article provides a comparative analysis of two prominent vector databases: Pinecone and … Read more
“Postgresql Vector Database: Pgvector” is an open-source extension for PostgreSQL that enables vector similarity searches, supporting exact and approximate nearest neighbor search. With pgvector, you can store vector embeddings alongside your other relational data, ensuring seamless integration into your existing database workflows. Postgresql Vector Database: Pgvector Key Features Similarity Metrics: Supports L2 distance, inner product, … Read more