标签：#ama

Standard chaos engineering assumes experiments stop cleanly, blast radius is knowable in advance, and production is fair game. Payment systems violate all three. Salim Adedeji describes ECS-specific failure modes from enterprise deployments: a 60-second DNS TTL that produced 93-second failover, retry logic amplifying database load 2.4x, and AZ rebalancing loops that generic tooling misses. By Salim Adedeji

A plane bearing an Amazon logo overran the runway at Miami International Airport on Sunday during landing, crashing into vehicles and resulting in multiple injuries. The extent of the damage or the seriousness of the injuries was not clear at the time of publication. In the aftermath of the incident, the FAA released a statement […]

Amazon just hiked prices on Kindles, Echo speakers, Eero routers, and Fire TV devices ahead of the holiday shopping season.

Amazon is trying to combat impersonation scams with a new feature that allows you to use its AI assistant to determine whether an email, text message, or phone call actually came from the company. With the update, you can ask Alexa for Shopping about a message you received, and it will use AI to compare […]

Amazon is adding a scam-detection feature to Alexa for Shopping that can verify whether suspicious emails, texts, and other messages actually came from the retailer.

These are the 15 best Amazon Labor Day deals on WIRED-tested, WIRED-recommended products in 2026.

FTC says firm replaces actual ad-auction results "with higher prices set by Amazon."

Amazon is adding a new Alexa-powered feature called “Update Me When” that can send personalized alerts about product launches, tours, books, shows, and other events that could trigger a purchase.

The company's "deception continues to this day," the lawsuit says.

The FTC and 22 state attorneys general are suing Amazon for allegedly using a "secret ad surcharge" to drive up prices for ads on its website and app. FTC chairman Andrew Ferguson claims in a blog post on the lawsuit that the higher advertising prices "were largely passed on to American consumers." According to the […]

Amazon is facing a new lawsuit from the FTC and 22 states for allegedly secretly charging businesses more for advertising.

Smart TVs store lots of data, and the amount they have to work with is often quite low. There are ways to maximize your storage space, though.

Why does your Kindle even have Bluetooth?

Several Hollywood celebs are ditching the massive eight-figure checks and exotic movie sets for a rising format: microdramas.

Fire TV Sticks can last for years, but how many? Here's how to know when support ends for your device and when to upgrade.

Standardized driver interface aims to let devices talk to AI and each other.

The update turns product recommendations into a more direct revenue stream for creators, and for Amazon, the move puts its massive online marketplace inside one of the most popular video platforms.

The retailer just finally joined YouTube Shopping's affiliate program.

Most LlamaIndex setups end up with two separate backends once you go beyond plain vector search: a vector store for VectorStoreIndex , and a separate graph database for PropertyGraphIndex when you need relationship-aware retrieval (GraphRAG). Two services, two connection strings, two things to keep in sync. This is a walkthrough of backing both index types with SynapCores instead — one engine, one connection, both index types. Setup docker run -d --name synapcores -p 8080:8080 \ -e AIDB_ACCEPT_LICENSE = 1 \ -v synapcores-data:/var/lib/synapcores \ ghcr.io/synapcores/community:latest pip install llama-index llama-index-vector-stores-synapcores llama-index-graph-stores-synapcores Both integration packages are independently published on PyPI: llama-index-vector-stores-synapcores llama-index-graph-stores-synapcores Vector store — standard RAG from llama_index.core import VectorStoreIndex , StorageContext , Document from llama_index.vector_stores.synapcores import SynapCoresVectorStore vector_store = SynapCoresVectorStore ( uri = " http://localhost:8080 " , embedding_dim = 1536 ) storage_context = StorageContext . from_defaults ( vector_store = vector_store ) docs = [ Document ( text = " SynapCores runs vector search, graph traversal, and SQL in one engine. " )] index = VectorStoreIndex . from_documents ( docs , storage_context = storage_context ) query_engine = index . as_query_engine () response = query_engine . query ( " What does SynapCores combine into one engine? " ) print ( response ) The vector store implements the full BasePydanticVectorStore ABC — add , delete , query , delete_nodes , clear , plus the async surface. Metadata filtering supports the full MetadataFilters grammar: all 12 operators ( EQ , NE , GT / GTE / LT / LTE , IN , NIN , TEXT_MATCH , TEXT_MATCH_INSENSITIVE , CONTAINS , IS_EMPTY ) with AND / OR / NOT and nested groups — so you're not giving up filtering power by moving off a dedicated vector DB. If you already have data in SynapCores from a prev

Amazon is adding another 2 million Nvidia GPU chips to its data centers over the next two years. But this extended partnerships stretches beyond buying more chips.