Software Misadventures

At the personal request of Reid Hoffman to emerge from early retirement, David joined LinkedIn in 2009 during a period of rapid growth to help stabilize the chaos, cultivating a much-needed culture of "Site Up and Secure." Before this, David served as SVP of Engineering and Operations at Yahoo!, overseeing their Search Marketing organization and the Production Operations infrastructure for the ent...

Before joining CueIn last year as a Founding Data Scientist, Melissa was a Lead Data Scientist at Salesforce working on the Einstein Platform that focused on automating Data Science workflows. In this conversation we dive into Melissa's unique journey, what to do in the face of increasing job automation and explore the latest developments in practical AI. Segments: [00:02:13] Melissa's background...

What's it like to open source an internal project at a big tech company like LinkedIn? When should a company open source a project and what are the benefits and challenges that come along with it? If you want to open source an internal project, how should you go about advocating for it? Félix is a Principal Staff Engineer at LinkedIn where he works on the data infrastructure team that builds Venic...

Should engineers and product managers "stay in their lanes"? What big company habits should you keep vs unlearn when transitioning to working at a start-up? Could an ayahuasca retreat give you more clarity on your career goals? Ilya and Arnab join the show to share their journey quitting big tech to bootstrap a podcasting startup. Arnab and Ilya are the co-founders of Metacast. Before starting the...

What's "AI in a Box"? Pete Warden joins the show to share a new project he recently launched that encapulates Language Transcription/Translation and Question Answering capabilities into a wallet-sized board running locally without internet, as well as stories and learnings from building his new company, Useful Sensors, after 7 years of leading the tensorflow mobile project at Google.  Pete is the...

What does it mean to change the economics of software development? Nathan Marz joins the show to share how they reduced the cost of building Mastodon at Twitter-scale by 100X and the 10 years journey to build Rama, a new programming platform that made this feat possible. Nathan is the founder of Red Planet Labs. Prior to RPL, he led engineering for BackType which was acquired by Twitter in 2011. N...

Kelsey Hightower was a Distinguished Engineer at Google, where he worked on Google Cloud Platform. In this second part of the conversation, we focus on Kelsey's retirement - the financial planning that enabled him to retire at 42, how he got started advising startups and his perspectives on compensation, turning down a substantial offer from Microsoft and meeting Satya Nadella in person. And, of c...

Kelsey Hightower was a Distinguished Engineer at Google, where he worked on Google Cloud Platform. In this first part of the conversation, we delve into pivotal moments in Kelsey's career journey ranging from buying his first car by working at mcdonald's after school, to starting his own computer store that turned into a music studio after 6pm, to hacking on python infrastructure with the core dev...

Julie Amundson is a Sr Staff Software Engineer at Google working on Machine Learning Infrastructure. Prior to Google, she was the Director of Machine Learning Infrastructure at Netflix. Julie decided to take a career break last year when she was affected by mass layoffs. In this conversation, we talk to her about what it was like to find a job during hiring freezes, what it was like to position he...

Chris Pruett is the CTO and Co-founder of Jam - a new way to share and listen to bite-sized audio. Prior to Jam, Chris spent 9+ years at LinkedIn growing from an engineering manager to VP of Engineering. During his tenure at LinkedIn, he worked on almost all aspects of the app and towards the end, led an org of 500+ engineers working on Feed, Messaging, Identity and Search. In this episode, we dis...

Short episode about reflections on the past year and plans for 2022.

Kailash is the CTO at Zerodha , the largest stock broker in India. In this conversation, we speak with him about absurdism - a philosophy that guides his personal and professional worldview. We discuss how he built Zerodha's tech team, their team culture and how the team operates so efficiently while being so lean. We also discuss why Zerodha self-hosts all of their tech stack, what they look for...

Michael Lynch is the founder of TinyPilot . After doing software engineering at Microsoft and Google for 7 years, Michael decided in 2018 to quit and start working for himself by building small software businesses. From years of negative profit to now building a $450K+ ARR hardware business, Michael joins the show to chat about what made him quit his cushy job at Google, how he builds in public wi...

Cory is currently a Solutions Engineer at Jeli.io and very well known in the community for his work on Observability. His career in observability began at Twitter where he managed the observability team and then he joined Stripe, where he created and led the observability team, this time around as a Principal Engineer. We talk to him about how he got his start in customer support and the role it p...

Ashwin is a Startup Partnership Lead at Stripe. From web development to co-founding a YC startup, to deep learning, Ashwin has a knack for picking up new skills extremely quickly. In this episode, we chat about the methods he employed to successfully make these transitions, learnings/tips from winning 30+ hackathons in a row, and what engineers can gain from better story-telling.

Bruno Connelly is a VP of Engineering at LinkedIn. He leads the Site Engineering org responsible for LinkedIn's production infrastructure. He joins the show to talk about his journey in tech - from teaching himself how to code at a young age, building, maintaining and reverse engineering software as a teenager, building ISPs in the early part of his career (there are some fun stories that involve...

With 5+ years of experience building resilient systems at the Netflix scale, Lorin joins the show to chat about his favorite incident story, the path that led him to doing chaos engineering (and later away from it), and advocating for a dedicated analyst to talk to people after an incident. Throughout the conversation, Lorin shares his philosophy and tips on how to learn from incidents, what engin...

Spoons is the Co-founder and Chief Architect of Lightstep. He joins the show to talk about building systems at Google scale and various aspects that make Google a weird place than other companies. We talked about Spoons's journey of leaving Google and deciding to join Lightstep as a co-founder. We dig into the challenges during the early days of Lightstep and discuss the importance of speaking to...

Having led 100+ ML projects at Insight and built ML systems at Stripe scale, Emmanuel joins the show to chat about how to build useful ML products and what happens next when the model is in production. Throughout the conversation, Manu shares stories and advice on topics like the common mistakes people make when starting a new ML project, what's similar and different about the lifecycle of ML syst...

Todd is a Sr Director of Engineering at Google where he leads Site Reliability Engineering teams for Machine Learning. Having recently presented on how ML breaks in production , by examining more than a decade of outage postmortems at Google, Todd joins the show to chat about why many ways that ML systems break in production have nothing to do with ML, what's different about engineering reliable s...

Evan Estola ( https://twitter.com/estola ) is a Director of Engineering at Flatiron Health where he's leading software engineering teams focused on building Machine Learning products. Throughout this episode, Evan shares various stories when recommendation systems didn't work as expected, like this one time when members saw mathematically worst recommendations for meetups near them. He also shares...

Uma is a VP of Engineering at Render. In this episode, she shared with us her insights on how to successfully manage infrastructure migrations. We discussed the importance of communicating the "why" behind a migration, identifying success metrics, creating a culture where migrations are identified as highly impactful projects and much more. Uma also shared stories where parts of a migration didn't...

Charity Majors (https://twitter.com/mipsytipsy) is the co-founder and CTO of Honeycomb.io. Before this she worked at Facebook, Parse and Linden Lab on infrastructure and developer tools, and always seemed to wind up running the databases. She is the co-author of Database Reliability Engineering book and also has an amazing blog at charity.wtf. We love the content in her blogs and have learned a lo...

Tammy Bryant Butow is a Principal SRE at Gremlin where she works on Chaos Engineering. In this episode, we discuss how her curiosity led her to the world of infrastructure engineering, an outage from her early days where a core switch took down half the datacenter, her experience running a disaster recovery test and how it taught her about the importance of injecting failures into a system to make...

Oliver Leaver-Smith, better known as Ols, is a Senior Devops Engineer at Sky Betting and Gaming. In this episode, we discuss how a seemingly simple monitoring change ended up taking down the entire site. We also talk about chaos and resilience engineering. We discuss how the team at Sky Betting and Gaming conducts fire drills (chaos engineering exercises) where they not only test the resiliency of...