Andrés
@andalm
Let the technical be tangible, free of any mystical aura ✨
Andrés
github.com
NIST AI 600-1 - Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
The document provides a profile of risks unique to or exacerbated by generative artificial intelligence (GAI) and offers actions to manage these risks.
airc.nist.govHow far can we push AI autonomy in code generation?
martinfowler.com
AI and System Design
MEN WEREN’T REALLY THE ENEMY— THEY WERE FELLOW VICTIMS SUFFERING FROM AN OUTMODED MASCULINE MYSTIQUE THAT MADE THEM FEEL UNNECESSARILY INADEQUATE WHEN THERE WERE
Neil Strauss • The Game
MicroFrontends - extending the microservice idea to frontend development
micro-frontends.org
This led to a virtuous cycle: as more companies adopt Terraform, more developers start using it; those developers contribute to Terraform, fixing bugs, improving security, adding new features, creating new tools and extensions, etc.; that makes Terraform even more compelling, so even more companies adopt it, and the cycle continues. As a result,... See more
Yevgeniy Brikman • The future of Terraform must be open
In Search of an Understandable Consensus Algorithm (Raft) by Diego Ongaro and John Ousterhout
raft.github.ioHotel Wayira Beach @hotelwayira
instagram.com
Database Partitioning is when you split the data inside the database into smaller "databases". One partition holds a part of your data. All partitions together form the entire database.
Partitioning is often used with replication, which means each partition's data is copied onto multiple nodes. This way, even though each record is in only one partition, it can be stored on different nodes for fault tolerance. A node may hold more than one partition.
When using a leader-follower replication model, the mix of partitioning and replication might look like this: