Eric Anderson (@ericmander) and Ketan Umare (@ketanumare) discuss Flyte, the open-source workflow automation platform for large-scale machine learning and data use cases. Ketan is a former engineer at Lyft, where he created Flyte to help models in Pricing, Locations, ETA, and more. Today, the project allows machine learning developers everywhere to bring their ideas from conception to production. In this episode we discuss: How Flyte combines compute with parts of a workflow engine in a way that is best for the user The importance of reliable fares and ETA predictions at a ride-sharing app A progenitor to Flyte called “Better Airflow” Ketan’s innovative approach to bringing typing to machine learning workloads Why Flyte landed at the Linux Foundation Links: Flyte Union.ai Apache Airflow Kubeflow Luigi MLTwist Other episodes: Great Expectations with Abe Gong and Kyle Eaton Envoy Proxy with Matt Klein

Eric Anderson (@ericmander) meets with Davit Buniatyan (@DBuniatyan) of Activeloop, the database for AI. Davit was inspired to found Activeloop while working on large datasets in a neuroscience research lab at Princeton. Powering the technology at Activeloop is Hub, the open-source dataset format for AI applications. Join us to learn how Hub promises to enhance and expand various verticals in deep learning. In this episode we discuss: Reconfiguring traditional ML tooling for the cloud Connectomics - working with thin slices of a mouse brain with neuroscientist Sebastian Seung Choosing between university, a start-up, and open-source Davit’s original product, that ran computation on crypto mining GPUs on a distributed scale Focusing on different data modalities for computer vision Links: Activeloop Activeloop Hub Apache Parquet Apache Spark TensorFlow Snowflake Databricks Timescale People mentioned: Sebastian Seung (@SebastianSeung) Other episodes: TensorFlow with Rajat Monga

Eric Anderson (@ericmander), Alexander Jung (@nderjung) and Simon Kuenzer (Github: @skuenzer) get technical on Unikraft, the open-source unikernel development kit. Unikernels are specialized, high performing OS images that have the potential to revolutionize virtualization. Unikraft makes unikernels easy to use by prioritizing modularity, security, and POSIX-compatibility. In this episode we discuss: How Unikraft seeks wider adoption of unikernels in real-world applications Unikraft’s background in research and academia Bottom-up as well as top-down specialization Building a community with a large proportion of students Links: Unikraft Unikraft: Fast, Specialized Unikernels the Easy Way Xen Project MirageOS HermitCore Firecracker

Eric Anderson (@ericmander) has a conversation with Yury Selivanov (@1st1), the co-founder of EdgeDB. EdgeDB is the world’s first “graph-relational database.” It’s a term coined specifically for this new type of database, designed to ease the pain of dealing with the usual relational and NoSQL models. And no, EdgeDB is NOT a graph database! In this episode we discuss: A glitch at EdgeDB’s Matrix-inspired launch event Origin of the term and design philosophy, “graph-relational” What to know about becoming a Python core developer How EdgeDB’s next-gen query language compares to GraphQL and SQL Links: EdgeDB magicstack uvloop People mentioned: Elvis Pranskevichus (@elprans) Colin McDonnell (@colinhacks) Victor Petrovykh (Github: @vpetrovykh) Dan Abramov (@dan_abramov) Brett Cannon (@brettsky) Daniel Levine (@daniel_levine) Other episodes: Hasura with Tanmai Gopal Dgraph with Manish Jain

Eric Anderson (@ericmander) sits down with Pete Goddard (@pete_paco) to talk about Deephaven, the open-core query engine built for real-time streams and batch data. Pete is the CEO of Deephaven Data Labs, and comes to the data world from a background in capital markets trading. Deephaven originally addressed a need for real-time data infrastructure in the finance world, but the team realized how useful their technology could be in a wider variety of verticals. Join us for Pete’s unique perspective on reaching out into alternate industries and use cases through community development. In this episode we discuss: How Pete transitioned from Wall Street to open-source software Selling investors on open-source Two questions people always ask Pete The luxury of Deephaven’s incremental update model Barrage, Deephaven’s API for streaming tables that extends Apache Arrow Flight Links: Deephaven Barrage Apache Kafka Apache Arrow Flight Eclipse Jetty Other episodes: TensorFlow with Rajat Monga

Eric Anderson (@ericmander) and Douwe Maan (@DouweM) chat about Meltano, the open-source DataOps operating system. Meltano provides the connective tissue that allows teams to treat their data stack as a single software development project. Tune in to learn how Meltano is trying to bring software development best practices into the data world. In this episode we discuss: Meltano’s origins as a side project at GitLab How Meltano glues together open-source technologies like Singer, dbt and Airflow Douwe’s experience wearing many different hats in the early days of Meltano Meltano’s shift from an ELT solution to an operating system The Love-Tap Fest community event, starting right after this episode’s release! Links: Meltano Love-Tap Fest - February 17-24th, 2022 GitLab Singer dbt Apache Airflow Apache Superset Terraform People mentioned: Taylor Murphy (@tayloramurphy) AJ Steers (@aaronsteers) Other episodes: Great Expectations with Abe Gong and Kyle Eaton Dagster with Nick Schrock Prefect with Jeremiah Lowin

Eric Anderson (@ericmander) and Pablo Ruiz-Múzquiz (@diacritica) examine the intersection of open-source, agile development, and UI/UX design at the heart of two applications, Penpot and Taiga. Penpot is a design and prototyping platform intended for cross-domain teams, while Taiga is a popular agile project management software. These products comprise the heart of Pablo’s innovative company, Kaleidos Open Source, which was founded in Spain more than a decade ago. Listen to today’s episode for one of the industry’s most unique perspectives on open-source code and design. In this episode we discuss: An internal crisis and a major pivot for Kaleidos How Penpot was born from Kaleidos’ signature personal innovation week Designing a design tool that can be used to design itself Bringing design, code and people closer together Why Pablo asserts that designers care about open-source Links: Penpot Taiga Kaleidos Open Source Other episodes: Blender with Dalai Felinto

Eric Anderson (@ericmander) and Kyle Quest (@kcqon) discuss DockerSlim, the open-source optimization and security tool for Docker container images. Kyle initially created DockerSlim as a humble hackathon project, and now supports it with his company, Slim.AI. Tune in to learn how DockerSlim is redefining DevOps with application intelligence and a backwards compatible vision of the future. In this episode we discuss: Bridging the gap between application and infrastructure Emerging from the cloud native stone age Application intelligence rather than artificial intelligence in Slim.AI DockerSlim integrated into CI/CD pipelines, embedded systems, and robots How Slim.AI aims to become ‘Google for containers’ Links: DockerSlim Slim.AI Terraform Serverless Sigstore

Eric Anderson (@ericmander) is joined by Egil (@EgilCo) and Ivar Østhus (@ivarconr), brothers and co-creators of the open-source feature management platform, Unleash. It’s a real family business, with Egil acting as CEO and Ivar the CTO of the company. Over beers and burgers, the two decided to bring their strengths together for a feature toggle tool that transforms DevOps and continuous deployment pipelines. In this episode we discuss: Ivar as a pioneer in the trunk-based development space Word of mouth and old colleagues bringing Unleash to new companies Assessing a contributor’s personality and mindset Resolving a deadlock scenario on a feature launch day without impacting customers Why feature flagging is fundamental to true DevOps Links: Unleash

Eric Anderson (@ericmander) invites Shauli Rozen (@shaulir) to share about his work on Kubescape, the first open-source Kubernetes security testing tool that is compliant with NSA & CISA hardening guidelines. Despite the project’s recency, Kubescape has seen explosive growth on Github and recognition from the Kubernetes community. Tune in to learn how the team at ARMO built a successful open-source security tool for DevOps. In this episode we discuss: Why Kubescape uses guidance from the NSA & CISA Correcting the misconception that developers don’t care about security Providing value in the first five minutes of using the tool ARMO’s detailed approach to community feedback Shauli’s thoughts on security roles of the future Links: ARMO Kubescape Terraform