Assorted links for Monday, March 10:
- Vector Databases: The Foundation of AI Agent Innovation
- NVMe-oF Substantially Reduces Data Access Latency
NVMe-oF is a network protocol that extends the parallel access and low latency features of Nonvolatile Memory Express (NVMe) protocol across networked storage. Originally designed for local storage and common in direct-attached storage (DAS) architectures, NVMe delivers high-speed data access and low latency by directly interfacing with solid-state disks. NVMe-oF allows these same advantages to be achieved in distributed and clustered environments by enabling external storage to perform as if it were local.
- Why Observability Needs To Go Headless
Many enterprises generate terabytes of log data every day, resulting in high costs to ingest, store and analyze that data. Even worse, many observability platforms are walled gardens, making it hard to use log data for use cases beyond observability, such as business intelligence, data science and machine learning.
To solve both of these problems, it’s time for headless observability, a fresh approach that decouples the frontend (visualization, querying and analytics) from the backend (data ingestion and storage) — all while keeping operations simple.
- The Million-Dollar Problem of Slow Microservices Testing
By shifting integration tests from the slow outer loop into the rapid inner loop, organizations can fundamentally transform their development process.
- Strobelight: A profiling service built on open source technology
- We’re sharing details about Strobelight, Meta’s profiling orchestrator.
- Strobelight combines several technologies, many open source, into a single service that helps engineers at Meta improve efficiency and utilization across our fleet.
- Using Strobelight, we’ve seen significant efficiency wins, including one that has resulted in an estimated 15,000 servers' worth of annual capacity savings.