Category: Kinesis Data Firehose

This blog post explores a scalable architecture for centralized log monitoring in multi-region, multi-account AWS environments. The proposed solution leverages AWS CloudWatch account-level subscription filters to efficiently deliver logs from various sources to Grafana Cloud, a unified platform for log analysis, visualization, and alerting. By consolidating logs from disparate sources, organizations can gain improved visibility, streamline troubleshooting, enhance security and compliance, and optimize performance across their cloud infrastructure. The article provides a detailed overview of the architecture, highlighting the benefits of this approach and guiding readers on implementing this scalable log delivery solution.

As technology advances and business requirements change, organizations may find themselves needing to migrate away from legacy data processing systems like HBase, Solr, and HBase Indexer. Explore the advantages of migrating from HBase, Solr, and HBase indexer to a modern data ecosystem based on AWS, and dive deep on the discuss architecture, design, and pathways for implementation. This post offers insights and guidance from Rackspace for those looking to embark on this intricate migration journey.

A serverless architecture strategy reduces complexity and provides more flexibility in adopting the features and non-functional requirements needed to support market agility. In this post, walk through an example of an IoT use case and build a serverless scalable platform using Amazon Kinesis Data Firehose, Amazon Managed Service for Apache Flink, and MongoDB Realm. You’ll learn how easy it is to develop mobile and desktop applications on top of the data platform for different personas.