Category: kinesis
Kinesis Streams for Reduced Latency: Strategies and Examples
In the world of real-time data processing, Amazon Kinesis Streams stands out for its ability to ingest large streams of…
Backpressure in AWS Kinesis: Strategies for Effective Consumer Management
The phenomenon of backpressure can significantly impact the performance and reliability of consumers in Kinesis Streams. In this comprehensive guide,…
Safeguarding Your Data: Securing Access to AWS Kinesis Streams
Ensuring the security of Kinesis Streams is paramount to protect sensitive data and prevent unauthorized access. In this comprehensive guide,…
Kinesis Data Analytics with Kinesis Streams
Kinesis Data Analytics stands out as a powerful tool for real-time analytics, enabling organizations to derive actionable insights from streaming…
Scalability and Performance: Enhanced Fan-Out in Kinesis Streams
Understanding the concept of enhanced fan-out and its benefits over standard data consumption methods is crucial for building robust and…
Data Processing Failures in AWS Lambda Functions Triggered by Kinesis Streams
Ensuring reliability and fault tolerance in data processing pipelines is essential, especially when handling potential failures in Lambda functions. In…
Data Consumption in AWS Kinesis Streams: Implications of Starting Positions
The choice of starting position when consuming data from a Kinesis Stream—whether it’s TRIM_HORIZON or LATEST—can have significant implications for…
Process of Reading Data from AWS Kinesis Streams: Ensuring Order and Reliability
Understanding the process of reading data from Kinesis Streams, and ensuring data is processed in the correct order, is crucial…
Overcoming Challenges in Scaling AWS Kinesis Streams
As data volumes grow and application workloads increase, scaling Kinesis Streams to meet growing demands poses unique challenges. In this…
Monitoring Kinesis Stream Performance
By understanding key metrics and implementing effective monitoring strategies, organizations can identify performance bottlenecks, troubleshoot issues, and optimize their streaming…
