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, Confluent) about the centralized identity management system he helped build to integrate with Apache Kafka® to prevent common identity management headaches and security risks.
With 12+ years of experience building cybersecurity products for enterprise companies, Anuj Sawani explains how he helped build out KIP-768 (Secured OAuth support in Kafka) that supports a unified identity mechanism that spans across cloud and on-premises (hybrid scenarios).
Confluent Cloud customers wanted a single identity to access all their services. The manual process required managing different sets of identity stores across the ecosystem. Anuj goes on to explain how Identity and Access Management (IAM) using cloud-native authentication protocols, such as OAuth or OpenID Connect, solves this problem by centralizing identity and minimizing security risks.
Anuj emphasizes that sticking with industry standards is key because it makes integrating with other systems easy. With OAuth now supported in Kafka, this means performing client upgrades, configuring identity providers, etc. to ensure the applications can leverage new capabilities. Some examples of how to do this are to use centralized identities for client/broker connections.
As Anuj continues to build and enhance features, he hopes to recommend this unified solution to other technology vendors because it makes integration much easier. The goal is to create a web of connectors that support the same standards. The future is bright, as other organizations are researching supporting OAuth and similar industry standards. Anuj is looking forward to the evolution and applying it to other use cases and scenarios.
EPISODE LINKS
Real-time Threat Detection Using Machine Learning and Apache Kafka
Improving Apache Kafka Scalability and Elasticity with Tiered Storage
Decoupling with Event-Driven Architecture
If Streaming Is the Answer, Why Are We Still Doing Batch?
Security for Real-Time Data Stream Processing with Confluent Cloud
Running Apache Kafka in Production
Build a Real Time AI Data Platform with Apache Kafka
Optimizing Apache JVMs for Apache Kafka
Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates
Application Data Streaming with Apache Kafka and Swim
International Podcast Day - Apache Kafka Edition | Streaming Audio Special
How to Build a Reactive Event Streaming App - Coding in Motion
Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka
Reddit Sentiment Analysis with Apache Kafka-Based Microservices
Capacity Planning Your Apache Kafka Cluster
Streaming Real-Time Sporting Analytics for World Table Tennis
Real-Time Event Distribution with Data Mesh
Apache Kafka Security Best Practices
What Could Go Wrong with a Kafka JDBC Connector?
Apache Kafka Networking with Confluent Cloud
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