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Modern cloud-native systems are highly dynamic and distributed, which makes it difficult to monitor cloud infrastructure using traditional tools designed for static environments. This has motivated the development and widespread adoption of dedicated observability platforms.

Prometheus is an open-source observability tool designed for cloud-native environments. Its strong integration with Kubernetes and pull-based data collection model have driven its popularization in DevOps. However, a common challenge with Prometheus is that it struggles with large data volumes and has limited cost-optimization capabilities. This raises the question of how best to handle Prometheus deployments at large scale.

Eric Schabell works in DevRel at Chronosphere where he’s the Director of Community and Developer. He is also a CNCF Ambassador. Eric joins the show with Kevin Ball to talk about metrics collection, time series data, managing Prometheus at scale, tradeoffs between self-hosted vs. managed observability, and more.

Full Disclosure: This episode is sponsored by Chronosphere.

Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Prometheus and Open-Source Observability with Eric Schabell appeared first on Software Engineering Daily.

David A. Patterson is a pioneering computer scientist known for his contributions to computer architecture, particularly as a co-developer of Reduced Instruction Set Computing, or RISC, which revolutionized processor design. He has co-authored multiple books, including the highly influential Computer Architecture: A Quantitative Approach.

David is a UC Berkeley Pardee professor emeritus, a Google distinguished engineer since 2016, the RIOS Laboratory Director, and the RISC-V International Vice-Chair.

He received the 2017 Turing Award together with John L. Hennessy “for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry.”

In this episode he joins Kevin Ball to talk about his life and career.

Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Turing Award Special: A Conversation with David Patterson appeared first on Software Engineering Daily.

At Uber, there are many platform teams supporting engineers across the company, and maintaining robust on-call operations is crucial to keeping services functioning smoothly. The prospect of enhancing the efficiency of these engineering teams motivated Uber to create Genie, which is an AI-powered on-call copilot. Genie assists with on-call management by providing real-time responses to queries, streamlining incident resolution, and facilitating team collaboration.

Paarth Chothani is a Staff Software Engineer on the Uber AI Gen AI team. Eduards Sidorovics is a Senior Software Engineer on the Uber AI Platform team. In this episode they join the show with Sean Falconer to talk about the challenges that motivated the creation of Uber Genie, the architecture of Genie, and more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Uber’s On-Call Copilot with Paarth Chothani and Eduards Sidorovics appeared first on Software Engineering Daily.

John Hennessy is a computer scientist, entrepreneur, and academic known for his significant contributions to computer architecture. He co-developed the RISC architecture, which revolutionized modern computing by enabling faster and more efficient processors. Hennessy served as the president of Stanford University from 2000 to 2016 and later co-founded MIPS Computer Systems and Atheros Communications. Currently, he serves on the board of the Gordon and Betty Moore Foundation, and is chair of the board of Alphabet.

John received the 2017 Turing Award “for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry.”

In this episode he joins Kevin Ball to talk about his life and career.

Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Turing Award Special: A Conversation with John Hennessy appeared first on Software Engineering Daily.

Sourcegraph is a powerful code search and intelligence tool that helps developers navigate and understand large codebases efficiently. It provides advanced search functionality across multiple repositories, making it easier to find references, functions, and dependencies. Additionally, Sourcegraph integrates with various development workflows to streamline code reviews and collaboration across teams.

Beyang Liu is the CTO and Co-Founder at Sourcegraph, where he has worked for the past twelve years. In this episode he joins the show with Sean Falconer to talk about the frontier of leveraging AI in software engineering.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Sourcegraph and the Frontier of AI in Software Engineering with Beyang Liu appeared first on Software Engineering Daily.

Jeffrey Ullman is a renowned computer scientist and professor emeritus at Stanford University, celebrated for his groundbreaking contributions to database systems, compilers, and algorithms. He co-authored influential texts like Principles of Database Systems and Compilers: Principles, Techniques, and Tools (often called the “Dragon Book”), which have shaped generations of computer science students.

In this episode he joins Kevin Ball to talk about his life and career.

Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Turing Award Special: A Conversation with Jeffrey Ullman appeared first on Software Engineering Daily.

Contextual memory in AI is a major challenge because current models struggle to retain and recall relevant information over time. While humans can build long-term semantic relationships, AI systems often rely on fixed context windows, leading to loss of important past interactions.

Zep is a startup that’s developing a memory layer for AI agents using temporal Knowledge Graphs, enabling agents to retain long-term contextual information. It was founded in 2023 and was part of the Y Combinator batch of Winter 2024.

Daniel Chalef is the Founder of Zep. He joins the show with Kevin Ball to talk about the challenge of contextual memory in AI, temporal knowledge graphs, ambient AI agents, and more.

Be sure to check out Graphiti on GitHub and read the Zep White Paper on arXiv.

Full Disclosure: This episode is sponsored by Zep.

Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Knowledge Graphs as Agentic Memory with Daniel Chalef appeared first on Software Engineering Daily.

Ryan Florence is a co-creator of React Remix and in this episode he speaks with Josh Goldberg about the Remix project.

Josh Goldberg is an independent full time open source developer in the TypeScript ecosystem. He works on projects that help developers write better TypeScript more easily, most notably on typescript-eslint: the tooling that enables ESLint and Prettier to run on TypeScript code. Josh regularly contributes to open source projects in the ecosystem such as ESLint and TypeScript. Josh is a Microsoft MVP for developer technologies and the author of the acclaimed Learning TypeScript (O’Reilly), a cherished resource for any developer seeking to learn TypeScript without any prior experience outside of JavaScript. Josh regularly presents talks and workshops at bootcamps, conferences, and meetups to share knowledge on TypeScript, static analysis, open source, and general frontend and web development.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post React Remix with Ryan Florence appeared first on Software Engineering Daily.

Jack Dongarra is an American computer scientist who is celebrated for his pioneering contributions to numerical algorithms and high-performance computing. He developed essential software libraries like LINPACK and LAPACK, which are widely used for solving linear algebra problems on advanced computing systems. Dongarra is also a co-creator of the TOP500 list, which ranks the world’s most powerful supercomputers. His work has profoundly impacted computational science, enabling advancements across numerous research domains.

Jack received the 2021 Turing Award “for pioneering contributions to numerical algorithms and libraries that enabled high performance computational software to keep pace with exponential hardware improvements for over four decades.”

He joins the podcast with Sean Falconer to talk about his life and career.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Turing Award Special: A Conversation with Jack Dongarra appeared first on Software Engineering Daily.

Rigetti Computing is an American company specializing in quantum computing, founded in 2013. The company develops quantum processors and hybrid quantum-classical computing systems, and aims to make quantum computing more accessible for research and commercial applications.

David Rivas is the CTO at Rigetti Computing. He joins the podcast with Kevin Ball to talk about the company, the fundamentals of quantum computing, the state of the technology, and where we’re headed.

Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Quantum Computing at Rigetti with David Rivas appeared first on Software Engineering Daily.