Is there a better way to manage access to resources without compromising security? New employees need access to a variety of resources within a company's tech stack. But manually granting access can be error-prone. And when employees leave, their access must be revoked, thus potentially introducing security risks if an admin misses one. In this podcast, Kris Jenkins talks to Anuj Sawani (security product manager at Confluent) about the centralized identity management system he helped build to integrate with Apache Kafka to prevent common identity management headaches and security risks.

Streaming real-time data at scale and processing it efficiently is critical to cybersecurity organizations like SecurityScorecard. Jared Smith, Senior Director of Threat Intelligence, and Brandon Brown, Senior Staff Software Engineer, Data Platform at SecurityScorecard, discuss their journey from using RabbitMQ to open-source Apache Kafka for stream processing. As well as why turning to fully-managed Kafka on Confluent Cloud is the right choice for building real-time data pipelines at scale.

Setting up a reliable cloud networking for your Apache Kafka infrastructure can be complex. There are many factors to consider—cost, security, scalability, and availability. With immense experience building cloud-native Kafka solutions on Confluent Cloud, Justin Lee (Principal Solutions Engineer, Enterprise Solutions Engineering, Confluent) and Dennis Wittekind (Customer Success Technical Architect, Customer Success Engineering, Confluent) talk about the different networking options on Confluent Cloud, including AWS Transit Gateway, AWS, and Azure Private Link, and discuss when and why you might choose one over the other.

To ensure safe and efficient deployment of large-scale Confluent solutions including Apache Kafka clusters across multiple cloud providers, Rashmi Prabhu (Staff Software Engineer & Eng Manager, Fleet Management Platform, Confluent) and her team have been building a cluster management solution —the Fleet Management Platform for Confluent Cloud. In this episode, she delves into what Fleet Management is, and how the service streamlines Kafka operations in the cloud while providing a seamless developer experience.

How much can Apache Kafka scale horizontally, and how can you automatically balance, or rebalance data to ensure optimal performance? You may require the flexibility to scale or shrink your Kafka clusters based on demand. With experience engineering cluster elasticity and capacity management features for cloud-native Kafka, Ajit Yagaty (Confluent Cloud Control Plane Engineering) and Aashish Kohli (Confluent Cloud Product Management) join Kris Jenkins in this episode to explain how the architecture of Confluent Cloud supports elasticity.