Category: Kinesis Data Firehose

Building a streaming data solution requires thorough testing at the scale it will operate in a production environment. Streaming applications operating at scale often handle large volumes of up to GBs per second, and it’s challenging for developers to simulate high-traffic Amazon Kinesis-based applications to generate such load easily. Amazon Kinesis Data Streams and Amazon […]

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Managed Service for Apache Flink to take advantage of […]

It’s common to store the logs generated by customer’s applications and services in various tools. These logs are important for compliance, audits, troubleshooting, security incident responses, meeting security policies, and many other purposes. You can perform log analysis on these logs to understand users’ application behavior and patterns to make informed decisions. When running workloads […]

This is a guest post co-written with Udayasimha Theepireddy from Elastic. Processing and analyzing log and Internet of Things (IoT) data can be challenging, especially when dealing with large volumes of real-time data. Elastic and Amazon Kinesis Data Firehose are two powerful tools that can help make this process easier. For example, by using Kinesis […]

In this post, you will learn how you can use Amazon Kinesis Data Firehose to build a log ingestion pipeline to send VPC flow logs to Amazon OpenSearch Serverless. First, you create the OpenSearch Serverless collection you use to store VPC flow logs, then you create a Kinesis Data Firehose delivery pipeline that forwards the […]

Amazon Virtual Private Cloud (Amazon VPC) flow logs enable you to track the IP traffic going to and from the network interfaces in your VPC for your workloads. Analyzing VPC logs helps you understand how your applications are communicating over your VPC network with log records and acts as a main source of information to […]

Observability data provides near real-time insights into the health and performance of AWS workloads, so that engineers can quickly address production issues and troubleshoot them before widespread customer impact. As AWS workloads grow, observability data has been exploding, which requires flexible big data solutions to handle the throughput of large and unpredictable volumes of observability […]

VPC Flow Logs is an AWS feature that captures information about the network traffic flows going to and from network interfaces in Amazon Virtual Private Cloud (Amazon VPC). Visibility to the network traffic flows of your application can help you troubleshoot connectivity issues, architect your application and network for improved performance, and improve security of […]

This post is co-written with Dr. Quan Hoang Nguyen, CTO at Fantom Foundation. Here at Fantom Foundation (Fantom), we have developed a high performance, highly scalable, and secure smart contract platform. It’s designed to overcome limitations of the previous generation of blockchain platforms. The Fantom platform is permissionless, decentralized, and open source. The majority of […]

In September 2017, during the annual Splunk.conf, Splunk and AWS jointly announced Amazon Kinesis Data Firehose integration to support Splunk Enterprise and Splunk Cloud as a delivery destination. This native integration between Splunk Enterprise, Splunk Cloud, and Kinesis Data Firehose is designed to make AWS data ingestion setup seamless, while offering a secure and fault-tolerant […]