I’m a senior DevOps engineer at Edrans. I spent the last 15 years working as an IT consultant and teaching Linux and best practices in systems administration, automation, and security. Now I’m focusing on building cloud micro-services architectures and securing it – making it simple and easy to manage for our customers by using SSO (Single SIgn-On) solutions.
Interests: IaC – Infrastructure as Code, Migrations, Machine Learning and Artificial Intelligence
Specialties: Linux, Security, Open Source, Scripting, and Automation.
Presentation:High Performace Data streaming with Amazon Kinesis
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.
It also enables you to build custom applications that process or analyze streaming data for specialized needs. You can continuously add various types of data such as clickstreams, application logs, and social media to an Amazon Kinesis data stream from hundreds of thousands of sources.
Within seconds, the data will be available for your Amazon Kinesis Applications to read and process from the stream.
In this session, we dive deep into best practices for Kinesis Data Streams and Kinesis Data Firehose to get the most performance out of your data streaming applications.