Create a live streaming generative AI tool with Amazon Bedrock, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams on AWS

Create a live streaming generative AI tool with Amazon Bedrock, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams on AWS

Generative artificial intelligence (AI) has seen significant growth in 2024, especially concerning large language models (LLMs) for intelligent chatbot solutions. Amazon Bedrock is a managed service that offers various foundation models (FMs) from renowned AI companies like AI21 Labs, Anthropic, Cohere, and others, allowing users to build generative AI applications securely and responsibly. This technology … Read more

Leverage Spring Cloud to track changes in Amazon DynamoDB using Amazon Kinesis Data Streams | Amazon Web Services

Leverage Spring Cloud to track changes in Amazon DynamoDB using Amazon Kinesis Data Streams | Amazon Web Services

Many organizations are interested in leveraging Amazon DynamoDB for its scalability, reliability, and features, including streaming table-level changes in real-time. Utilizing DynamoDB and its streaming capabilities requires knowledge of the AWS SDK, which can be a challenge for some organizations. However, the open-source Java Spring framework provides a level of abstraction that simplifies working with … Read more

Create Spark Structured Streaming applications using the open source connector for Amazon Kinesis Data Streams | AWS

Create Spark Structured Streaming applications using the open source connector for Amazon Kinesis Data Streams | AWS

Apache Spark is a big data engine known for its in-memory computing capabilities and is commonly used for large-scale data analytics. One of the key features of Apache Spark is its ability to handle iterative algorithms and interactive queries efficiently. Apache Spark can also be used to process streaming data from various sources, including Amazon … Read more