Archive
The Grafana stack combines three open source projects: Loki for logs, Tempo for traces, and Mimir for metrics. All three keep data in object storage (S3/GCS) with a minimal index instead of indexing everything like Elasticsearch, which cuts cost sharply at high volume and lets you correlate metric, log, and trace from a single Grafana panel.
Ollama makes it trivial to run models like Llama 2 or Mistral on your own computer: one binary, one command, and quantised weights downloading to disk with no compilation required. Covers installation on macOS, Linux, and Windows with an honest look at what local inference can and cannot do compared to frontier models.
Industrial predictive maintenance rarely needs deep learning: classic models such as random forests, SVMs, or survival models solve 80% of cases. The key lies in feature engineering over vibration, temperature, and power-consumption signals, with pipelines that run on as little as 50 MB of RAM without a GPU.
WebAssembly is moving beyond the browser through WASI, the standard system interface, and the component model, which defines declarative WIT interfaces so modules written in different languages can compose with each other. Cold start lands around 1 ms versus roughly 500 ms for a container, a key difference for serverless and edge computing teams.
Vault centraliza secretos con rotación, auditoría y políticas granulares. Guía práctica para equipos que pasan de .env a gestión seria.
