Category: aws
Consumer Lag in AWS Kinesis Streams: Monitoring and Mitigation Strategies
AWS Kinesis Streams serves as a cornerstone for seamless data ingestion and analysis. However, to ensure optimal performance, it’s crucial…
Data Resilience: AWS Kinesis Streams’ Data Replay Feature
AWS Kinesis Streams stands out as a powerhouse, offering a myriad of features to handle streaming data with ease. One…
Integrating Amazon Kinesis Streams with Redshift for Real-Time Data Analysis
Integrating Amazon Kinesis Streams with Amazon Redshift provides a powerful solution for real-time data processing and analysis. This article outlines…
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…
