AWS Big Data Blog
Category: Kinesis Data Firehose
Accelerate data insights with Elastic and Amazon Kinesis Data Firehose
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 […]
Serverless logging with Amazon OpenSearch Serverless and Amazon Kinesis Data Firehose
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 […]
Stream VPC flow logs to Amazon OpenSearch Service via Amazon Kinesis Data Firehose
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 […]
Monitor AWS workloads without a single line of code with Logz.io and Kinesis Firehose
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 […]
Enrich VPC Flow Logs with resource tags and deliver data to Amazon S3 using Amazon Kinesis Data Firehose
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 […]
How a blockchain startup built a prototype solution to solve the need of analytics for decentralized applications with AWS Data Lab
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 […]
Ingest VPC flow logs into Splunk using Amazon Kinesis Data Firehose
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 […]
Analyze logs with Dynatrace Davis AI Engine using Amazon Kinesis Data Firehose HTTP endpoint delivery
This blog post is co-authored with Erick Leon, Sr. Technical Alliance Manager from Dynatrace. Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and analytics services. With just a few clicks, you can create fully-managed delivery streams that auto scale on demand to match the throughput of […]
Build a big data Lambda architecture for batch and real-time analytics using Amazon Redshift
With real-time information about customers, products, and applications in hand, organizations can take action as events happen in their business application. For example, you can prevent financial fraud, deliver personalized offers, and identify and prevent failures before they occur in near real time. Although batch analytics provides abilities to analyze trends and process data at […]
Use Amazon Kinesis Data Firehose to extract data insights with Coralogix
This is a guest blog post co-written by Tal Knopf at Coralogix. Digital data is expanding exponentially, and the existing limitations to store and analyze it are constantly being challenged and overcome. According to Moore’s Law, digital storage becomes larger, cheaper, and faster with each successive year. The advent of cloud databases is just one […]