Tag: aws
Batch Processing in Amazon Kinesis Streams: Best Practices
In this comprehensive guide, we delve into the world of batch processing in Amazon Kinesis Streams, unveiling top-tier best practices…
Understanding the Differences Between Data Streams, Data Firehose, and Data Analytics
Amazon Kinesis offers a suite of services tailored for real-time data processing, each catering to specific use cases and requirements….
AWS Kinesis Streams and Amazon S3 for Efficient Data Storage
AWS Kinesis Streams provides a scalable and durable platform for capturing and processing real-time data streams, while Amazon S3 (Simple…
Scalable Serverless Data Processing Architecture with AWS Kinesis Streams and Lambda
AWS offers a powerful combination of services for building serverless data processing architectures, with AWS Kinesis Streams and AWS Lambda…
AWS Kinesis Data Partitioning: Understanding Partition Keys
AWS Kinesis stands out as a robust platform offering seamless scalability and high throughput. Central to its architecture is the…
Securing AWS Kinesis Streams: Encryption in Transit and at Rest Explained
Security is paramount when working with streaming data, and AWS Kinesis Streams offers robust mechanisms for encrypting data both in…
Kinesis Stream Performance: Key Metrics and Monitoring Strategies
Kinesis Streams are powerful tools for ingesting and processing real-time data at scale. However, ensuring optimal performance requires vigilant monitoring…
Fan-Out Data Consumption Patterns in Kinesis Streams
Introduction to Fan-Out Data Consumption Fan-out data consumption is a fundamental concept in AWS Kinesis Streams architecture, involving the distribution…
Checkpoints in AWS Kinesis Stream Processing
Introduction to Checkpoints in AWS Kinesis In the realm of AWS Kinesis stream processing, checkpoints play a vital role in…
Troubleshooting Data Latency in Kinesis Streams
Data latency issues in Amazon Kinesis Streams can disrupt real-time data processing and impact business operations. Fortunately, troubleshooting these issues…