The other day I needed to serve Ollama (on Ubuntu) over the local network and I had problems connecting. It timed out. The timeout happened because Ollama was bound only to the loopback interface (127.0.0.1). That means it was accessible only from the same machine and not
TL;DR * "Zero Downtime" is a vanity metric, not a business requirement. * 99.999% uptime allows for only 5 minutes of downtime per year. * GKE Reality: Zonal clusters (99.5% SLA) are significantly cheaper than Regional (99.95%+), and often sufficient for anyone who isn't a
TL;DR: * LIMIT 10 does not save money (you are billed for the full scan). * Partitioning by TIMESTAMP cuts query costs. * Don't stream raw events. Use Redis to aggregate data before inserting into BigQuery to save on query overhead. Table Of Contents * Introduction * BigQuery * Data Preview * Partition + Cluster
My home lab, isn't a toy. Ok, in some way it is. It’s where I run crypto nodes, play with tools new tools and this is cheaper long term and gives me total control. The Sandbox: Break and Learn Stuff Cloud's great until you want
TLDR; Loading real-time Bitcoin blockchain data (blocks, transactions) into ClickHouse for analysis is valuable but challenging due to duplicate records often generated during streaming. Traditional ClickHouse deduplication methods (like ReplacingMergeTree with FINAL) can be slow or inefficient for high-volume, real-time ingestion. This article explores how Glassflow, an open-source stream processor,
I can’t be the only one having these thoughts. Companies will be using more and more compiled languages (Go, Rust) for better performance and lower infrastructure costs, thanks to AI lowering barriers to entry. It was hard(er) to explore due to the lack of ecosystems and frameworks like
Forgot where you parked again? Let’s talk brain fog and memory.
With the development of AI and intelligent agents, I foresee that, in the near future, parts of SaaS will be brought in-house mainly for cost-saving reasons. A single engineer, knowledgeable in multiple areas (though not an expert in any one field), might be able to develop and maintain a services
Discover how to power your AI agent chat by choosing the right real-time communication protocol. In this article, we dive into the pros and cons of WebSockets and Server-Sent Events
Microservices promise scalability and flexibility, but are they worth the extra complexity? If you're using NestJS as a small team, you might find that a well-structured monolith serves you better.
When deploying Kubernetes, the choice between cloud infrastructure and bare-metal or local servers can significantly impact performance, cost, and maintenance. While cloud solutions offer powerful, managed Kubernetes clusters, they’re not always ideal for projects with heavy hardware requirements. I’ve experienced this firsthand while running a Bitcoin node on
AI is reshaping digital marketing by automating content creation, optimizing keywords, and improving search rankings. This article explores how businesses—especially smaller ones—leverage AI to compete more effectively, streamline SEO, and enhance marketing ROI.