Eric Anderson (@ericmander) returns to Temporal with co-founder Maxim Fateev (@mfateev) and principal engineer Dominik Tornow (@DominikTornow). When Maxim joined us in September of 2020, the company called their project a “workflow orchestrator.” Today, Temporal has grown in popularity and usability, but the terminology around that abstraction has changed. Tune in to track the evolution of what Maxim calls a genuinely “new category of software.” In this episode we discuss: New features and developments in the last 2 years The proper way to pronounce “Temporal” How Temporal guarantees that workflow execution actually runs to execution Describing Temporal as a new pair of glasses Replay, Temporal’s first developer conference on August 25-26, in Seattle Links: Temporal Cadence Apache Cassandra Replay People mentioned: Samar Abbas (@samarabbas77) Other episodes: Temporal with Maxim Fateev Apache Cassandra with Patrick McFadin

Eric Anderson (@ericmander) interviews Avi Press (@avi_press) about Scarf, the distribution platform for open-source software that facilitates analytics and commercialization. Scarf offers a set of tools that allows founders and maintainers to understand adoption of their products, including Scarf Gateway, which provides a central access point to containers and packages. From there, open-source developers can connect with the people that rely on their work. In this episode we discuss: Why you can’t rely on Github as a source of comprehensive data about open-source software Tracing a user’s journey interacting with a project across multiple platforms How better observability allows maintainers to make better software Inspiring indie maintainers to commercialize their projects The privilege of being able to work in open-source, and how Scarf can enable a more inclusive developer community Links: Scarf Tidelift Gitcoin OpenTeams Aviyel

Eric Anderson (@ericmander) and Patrick Dougherty (@cpdough) talk about Rasgo, the data transformation platform for MLOps that makes generating SQL easy. The team at Rasgo recently open-sourced a package called RasgoQL, that allows users to execute SQL queries against a data warehouse using Python syntax. Tune in to find out how Rasgo aims to bridge an important gap in the Modern Data Stack. In this episode we discuss: The advantages of offering both a low-code/no-code UI and a Python interface "How can a data scientist, without needing full-time resources from data engineering, be somewhat self-sufficient in data prep and able to deliver those insights without a massive human capital investment needed?" Where Rasgo fits into the world of feature stores Why one Rasgo user took a trip to a wind farm in Texas Eric’s predictions for the future of data prep and transformation Links: Rasgo RasgoQL DuckDB Delta Lake People mentioned: Jared Parker (@jaredtparker_)

Eric Anderson (@ericmander) and Willem Pienaar (@willpienaar) talk about Feast, the open-source feature store for machine learning. Feature stores act as a bridge between models and data, and allow data scientists to ship features into production without the need for engineers. Willem co-created Feast at Gojek, and later teamed up with the folks at Tecton to back the project. In this episode we discuss: The value of feature stores in MLOps What happens when you open-source too early Why most open-source code has nothing to hide Bringing an open-source project to an existing company Good and bad use cases for a feature store Links: Feast Tecton Turing Merlin Kubeflow apply() Conference People mentioned: Mike Del Balso Kevin Stumpf (@kevinmstumpf) Ajey Gore (@AjeyGore) Demetrios Brinkmann (@Dpbrinkm) Wes McKinney (@wesmckinn) Other episodes: Flyte with Ketan Umare Great Expectations with Abe Gong and Kyle Eaton

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

Eric Anderson (@ericmander) connects with Dalai Felinto (@dfelinto), development coordinator at Blender. Blender is a free and open-source 3D graphics toolset with a unique story spanning nearly 30 years. The project is used professionally for animation, video games, scientific visualization, and much more. Join us for a very special episode of Contributor as we take a deep dive into one of the most dedicated, robust communities in open-source history. In this episode we discuss: When the dotcom crash landed Blender in the hands of community members Taking open-source beyond the toolset with open movie projects Dalai’s transition from burgeoning architect to Blender developer How you can use Blender’s new Geometry Nodes for AI training Solving organizational challenges with full-time staff and contributors Links: Blender Blender Studio Big Buck Bunny Elephants Dream Sprite Fright People mentioned: Ton Roosendaal (@tonroosendaal)

Eric Anderson (@ericmander) interviews Abe Gong (@AbeGong) and Kyle Eaton (@SuperCoKyle) about Great Expectations, the open-source framework that aims to create a shared standard for data quality. Abe is a core contributor to the project, and the CEO and co-founder of Superconductive, the team backing Great Expectations. Kyle is Growth Lead at Superconductive, and Community Manager of Great Expectations. The team at Superconductive have just launched the new Expectation Gallery to connect contributors and carve out vertical spaces in this ecosystem. Tune in to find out why Great Expectations is the leading open-source project for eliminating pipeline debt. In this episode we discuss: How the Expectation Gallery enables new modes of community engagement Superconductive’s pivot from healthcare data consulting to open-source data validation Collaborative conversations with other data companies Abe’s advice to future open-source founders on segmenting value The vision of Great Expectations as a protocol-level open standard Links: Great Expectations Superconductive Down with Pipeline debt Cascade Data Labs Flyte Dagster Databricks pandas People mentioned: James Campbell (@jpcampbell42) Other episodes: Dagster with Nick Schrock

Eric Anderson (@ericmander) sits down with Abhishek Dubey (@abhishekdubey), co-creator of Bolster, the fraud prevention platform powered by deep-learning. Bolster is used by clients like LinkedIn, Uber and Dropbox for its cutting-edge detection and takedown technology. Abhishek and his co-founder built Bolster around the real-time URL-scanning tool CheckPhish, which analyzes phishing sites for free. On today’s episode, learn how Abhishek and the team at Bolster have found success by focusing on building their business out of passion, and giving back to the community. In this episode we discuss: A second mortgage and a startup garage Discovering 100 Fortune 500 companies were using CheckPhish How Bolster snagged LinkedIn without a proof of concept Bolster’s secret sauce, that sets them apart from other security companies Comparing the community focus of Bolster to a traditional open-source model Links: Bolster CheckPhish Hacker Dojo Twilio People mentioned: Shashi Prakash (@skiddzo)

Eric Anderson (@ericmander) sits down with Magnus Hillestad (@MHillestad) and Even Westvang (@even), co-founders of the unified content platform Sanity. The team at Sanity helps businesses organize their structured content as data, allowing distribution from a single source of truth. Tune in today’s episode to learn how Sanity aims to change the way people think about content. In this episode we discuss: The open-source editing environment and CMS, Sanity Studio From content as data, to coffee table books How Sanity differs from a traditional CMS Why the Sanity team turned down a contract with the United Nations Building a team that can scale to a vision of ubiquity Links: Sanity Sanity Studio Figma Brex Netlify People mentioned: Simen Svale Skogsrud (@svale) Øyvind Rostad (@rostad)

Eric Anderson (@ericmander) and Ev Kontsevoy (@kontsevoy) talk about Teleport, the open-source tool for instant access to cloud resources. These include SSH servers, Kubernetes clusters, databases and more. Teleport was inspired by the growing complexity of cloud environments, and aims to make engineers feel like all their cloud applications are in the same room together. In this episode we discuss: How Teleport grew from a side project to Gravity, the open-source toolkit for packaging and running applications autonomously Unifying and consolidating modern access methods and industry best practices Bringing identity to a protocol-level An early community use case for Teleport in the cattle industry Engaging with outside contributions while balancing security constraints Links: Teleport Gravity Mailgun

Eric Anderson (@ericmander) and Travis Nielsen (@STravisNielsen) talk about Rook, the open-source storage orchestrator for Kubernetes. Travis is a Senior Principal Software Engineer at Red Hat, and maintainer of Rook. Join us to dive deep into the story of Rook, from Microsoft, to Quantum, to Red Hat. In this episode we discuss: Ceph + Kubernetes = Rook The difficulty and importance of a stable storage solution for stateless applications How Rook leverages Kubernetes CRDs Why the Rook team decided to work with the CNCF Red Hat’s philosophy and approach to open-source Links: Rook Red Hat Upbound Quantum CNCF People mentioned: Bassam Tabbara (@bassamtabbara) Jared Watts (@jbw976)