Assorted links for Wednesday, November 13:
Links
Assorted links for Tuesday, November 12:
- From IaC to Cloud Management: Pulumi’s Evolution Story
- Why Platform Engineers Are Embracing WebAssembly for Serverless
- Shift Left Meets Kafka: Testing Event-Driven Microservices
- Make Workloads, Not Infrastructure: Redefining K8s Platforms
- How The New York Times is using generative AI as a reporting tool
Assorted links for Monday, November 11:
Assorted links for Friday, November 8:
- Uber’s Real-Time Push Platform
- Data Mesh Principles and Logical Architecture
- How to unit-test your helm charts with Golang
- RClone: A command-line program to sync files and directories to and from different cloud storage providers
- Different I/O Access Methods for Linux, What We Chose for ScyllaDB, and Why: This post predates io_uring which is probably the modern preference.
Assorted links for Thursday, November 7:
Assorted links for Wednesday, November 6:
Assorted links for Tuesday, November 5:
Assorted links for Monday, November 4:
Assorted links for Friday, November 1:
- AI Flame Graphs
- OpenZFS deduplication is good now and you shouldn’t use it
- Apache OpenDAL: Open Data Access Layer: Access data freely
- Embeddings are underrated
Embeddings aren’t exactly new, but they have become much more widely accessible in the last couple years. What embeddings offer to technical writers is the ability to discover connections between texts at previously impossible scales.
- How To Fail at Microservices
Assorted links for Thursday, October 31:
- The Future of APIs: Lessons in Security, Composability, AI
- How Apollo Makes LLMs More Reliable with GraphQL
GraphQL’s structured query language proves to be an ideal match for AI tools, offering more reliable and focused results compared to broader LLM applications.
- How useful is the hint passed to the std::unordered_… collections?: An unsorted followup on Speeding up the insertion of a sorted (or mostly-sorted) key list into a std::map or other ordered associative container
- What is a Vector Database & How Does it Work? Use Cases + Examples
- What is Retrieval-Augmented Generation (RAG)?