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Tracy Miranda on Secure Supply Chains, SBOMs, and SLSA
In this episode, Tracy Miranda, a leader in the secure software supply chain domain, sat down with InfoQ podcast co-host Daniel Bryant and discussed the current state of the industry. Topics covered included the benefits of SBOMs and SLSA, getting started with generating SBOMs, and how developers should work with leadership when evaluating their organization’s security posture.
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Getting to Know Dapr with Mark Fussell and Yaron Schneider
In the latest InfoQ Architecture and Design Trends Report, Dapr is part of the early adopter ideas of design for portability and cloud-bound applications. Dapr provides APIs that abstract away the infrastructure details for modern applications, providing secure, best practice implementations that work across any cloud, framework, and language.
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AI, ML, and Data Engineering InfoQ Trends Report—September 2023
In this episode of the podcast we'll be discussing the current trends in the domain of AI, ML and Data Engineering as part of the process of creating our annual trends report. These reports provide InfoQ readers with a high-level overview of the topics to pay attention to and also help the editorial team focus on innovative technologies.
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Roi Ravhon on FinOps, Application Unit Economics, and Cloud Cost Optimization
In this episode, Roi Ravhon, co-founder and CEO of Finout, sat down with InfoQ podcast co-host Daniel Bryant and discussed the emergence and industry adoption of FinOps. The talk covers topics such as the benefits of adopting FinOps, the typical journey of an organization interested in learning more about cloud costs, and a range of cultural and tooling required for a successful implementation.
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Building a Reliable Kafka Data Processing Pipeline with Lily Mara
In this episode Thomas Betts talks to Lily Mara, engineering manager at OneSignal in San Mateo, California. She manages the infrastructure services team, which is responsible for in-house services used by other OneSignal engineering teams. They will discuss how to build a reliable Kafka data processing pipeline.