This technical example was built upon an AWS AI service suite to test its capabilities, and it was pretty impressive, with minimal learning curve for the AI enthusiast. This example leverages Neptune as the graph database, Bedrock’s Claude v3 for our GenAI model and LLM, along with out-of-the-box security notebooks, to populate the data. This coupled with excellent docs and some tinkering helped wire the example... - Source: dev.to / about 1 month ago
Graph databases are designed to store and process highly connected data, such as social networks, recommendation engines, and fraud detection systems. AWS offers a fully managed graph database service called Amazon Neptune that can handle graph data at scale. - Source: dev.to / 7 months ago
My understanding is that a shard is the full set of services that are needed to support at least one game server, and so it isn't a shard that crashes, it's (usually) a "dynamic" game server (DGS) ( which there's currently only one of per shard until they build out the ~~replication layer~~ (Atlas service? https://sc-server-meshing.info/), so it feels an awful lot like the whole shard crashed )... But the DGS... Source: 10 months ago
I know an alternative to regular SQL relational and noSQL databases is graph databases like Neo4j and Amazon Neptune. I don't know if it's relevant to you but you might want to check out https://en.m.wikipedia.org/wiki/Neo4j or https://aws.amazon.com/neptune/. Source: 11 months ago
First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language. - Source: dev.to / about 1 year ago
What's your thought on AWS Neptune? From the marketing page below: "Scale your graphs with unlimited vertices and edges, and more than 100,000 queries per second for the most demanding applications. Storage scaling of up to 128Tib per cluster and read scaling with up to 15 replicas per cluster." https://aws.amazon.com/neptune/. - Source: Hacker News / over 1 year ago
I believe this is only the first step in Amazon’s plan to push the database further. With the rise of social networks and recommendation engines, graph databases have become more popular. Amazon’s new Neptune graph database is an foray into another data area. Graph databases are notoriously hard to shard, so it may be a while before we see a Serverless Neptune. I wouldn’t bet against it coming eventually. - Source: dev.to / almost 2 years ago
I want to read IMDb Datasets and process the title.basics.tsv.gz so that I can play with Amazon Neptune. - Source: dev.to / about 2 years ago
Over time, we should have only dockers and lambda functions in our compute. While doing this, we should also discard the EC2 instances one by one and move onto Fargate. Drop the Kafka or other messaging services and move to Kinesis, EventBridge, SNS or SQS, as per the requirement. Migrate to cloud native databases like Aurora, DocumentDB, DynamoDB, and other purpose built databases like TimeStream, Keyspace,... - Source: dev.to / almost 3 years ago
As an AWS person, I became really interested in how I may take advantage of a an AppSync GraphQL API backed by a graph database. There are many great options to choose from, including things like Neo4j and ArangoDB which I hope to also try out sometime soon, but for this build I chose to use Amazon Neptune. - Source: dev.to / about 3 years ago
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