|
You are here |
tech.trivago.com | ||
| | | | |
tlakomy.com
|
|
| | | | | Notes from Yan Cui's excellent Complete Guide to AWS Step Functions course | |
| | | | |
jack-vanlightly.com
|
|
| | | | | In part 1, we described distributed computation as a graph and constrained the graph for this analysis to microservices, functions, stream processing jobs and AI Agents as nodes, and RPC, queues, and topics as the edges. Within our definition of The Graph, a node might be a function (FaaS or microservice), a stream processing job, an AI Agent, or some kind of third-party service. An edge might be an RPC channel, a queue or a topic. For a workflow to be reliable, it must be able to make progress despite failures and other adverse conditions. Progress typically depends on durability at the node and edge levels. | |
| | | | |
lukesingham.com
|
|
| | | | | The modern data stack is a collection of rapidly evolving technologies that together provide a platform for analytics. While we at Monzo already have quite a modern data stack, there is always more to learn and room for improvement. This post summarises the core components of our modern data platform | |
| | | | |
drew.silcock.dev
|
|
| | | A high-level overview of how PostgreSQL stores data on disk, covering segments, pages and more. | ||