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
From Monolith to Microservices with Sam Newman
Exploring Event Streaming Use Cases with µKanren ft. Tim Baldridge
Introducing JSON and Protobuf Support ft. David Araujo and Tushar Thole
Scaling Apache Kafka in Retail with Microservices ft. Matt Simpson from Boden
Connecting Snowflake and Apache Kafka ft. Isaac Kunen
AMA with Tim Berglund | Streaming Audio Special
Kubernetes Meets Apache Kafka ft. Kelsey Hightower
Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll
IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner
Confluent Platform 5.5 | What's New in This Release + Updates
Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie
Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs
Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart
How to Run Kafka Streams on Kubernetes ft. Viktor Gamov
Cloud Marketplace Considerations with Dan Rosanova
Explore, Expand, and Extract with 3X Thinking ft. Kent Beck
Ask Confluent #17: The “What is Apache Kafka?” Episode ft. Tim Berglund
Domain-Driven Design and Apache Kafka with Paul Rayner
Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann
Distributed Systems Engineering with Apache Kafka ft. Gwen Shapira
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