Frank McSherry, Chief Scientist at Materialize talks to Host Akshay Manchale about Materialize which is a SQL database that maintains incremental views over streaming data. Frank talks about how Materialize can complement analytical systems...

Episode 504: Frank McSherry on Materialize

Software Engineering Radio is a podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast. SE Radio covers all topics software engineering. Episodes are either tutorials on a specific topic, or an interview with a well-known character from the software engineering world. All SE Radio episodes are original content — we do not record conferences or talks given in other venues. Each episode comprises two speakers to ensure a lively listening experience. SE Radio is brought to you by the IEEE Computer Society and IEEE Software magazine.

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Shachar Binyamin, CEO and co-founder of Inigo, joins host Priyanka Raghavan to discuss GraphQL security. They begin with a look at the state of adoption of GraphQL and why it's so popular. From there, they consider why GraphQL security is important as they take a deep dive into a range of known security issues that have been exploited in GraphQL, including authentication, authorization, and denial of service attacks with references from the OWASP Top 10 API Security Risks. They discuss some mitigation strategies and methodologies for solving GraphQL security problems, and the show ends with discussion of Inigo and Shachar's top three recommendations for building safe GraphQL applications. Brought to you by IEEE Software and IEEE Computer Society.

SE Radio 613: Shachar Binyamin on GraphQL Security

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SE Radio 612: Eyal Solomon on API Consumption Management

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SE Radio 611: Ines Montani on Natural Language Processing

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SE Radio 610: Phillip Carter on Observability for Large Language Models

Rishi Singh, founder and CEO at Sapient.ai, speaks with SE radio’s Kanchan Shringi about using generative AI to help developers automate test code generation. They start by identifying key problems that developers are looking for in an automated test-generation solution. The discussion explores the capabilities and limitations of today’s large language models in achieving that goal, and then delves into how Sapient.ai has built wrappers around LLMs in an effort to improve the quality of the generated tests. Rishi also suggests how to validate the generated tests and outlines his vision of the future for this rapidly evolving area. Brought to you by IEEE Computer Society and IEEE Software magazine. This episode is sponsored by WorkOS.

Episode 504: Frank McSherry on Materialize

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