https://simplecast.com Startup Engineering Startup engineering is a podcast that goes behind the scenes at startups. Rob De Feo, startup advocate at AWS your host will talk to engineers, CTO’s, and founders that built the technology and products at some of the world's leading startups. Each episode we will learn the inside story of how they overcame their biggest technology challenges. From launch through to achieving mass scale, and all the bumps in between. Experts share their experiences, lessons learnt and best practices. If you are excited about working at or building the next big thing or you want to learn from the engineers that have been there and done that, subscribe to the startup engineer wherever you get your podcasts. 2020 Startup Engineering en Mon, 26 Oct 2020 11:00:00 +0000 Thu, 29 Oct 2020 10:06:04 +0000 https://startupengineering.co Startup Engineering https://image.simplecastcdn.com/images/747a61d1-f61d-406e-bebf-a509b902266e/3ca0befa-054c-4f23-a13c-e9a24fc5d3f3/3000x3000/podcast-alt-name-v-2.jpg?aid=rss_feed https://startupengineering.co episodic Startup engineering is a podcast that goes behind the scenes at startups. Rob De Feo, startup advocate at AWS your host will talk to engineers, CTO’s, and founders that built the technology and products at some of the world's leading startups. Each episode we will learn the inside story of how they overcame their biggest technology challenges. From launch through to achieving mass scale, and all the bumps in between. Experts share their experiences, lessons learnt and best practices. If you are excited about working at or building the next big thing or you want to learn from the engineers that have been there and done that, subscribe to the startup engineer wherever you get your podcasts. Rob De Feo no https://feeds.simplecast.com/bF1UQxhp aws, startup, developer, engineer, tech, technology, founder, cto Rob De Feo robdefeo@gmail.com 7e2a7bae-d73c-456d-8b74-4fb8fedd33be How to synchronise a distributed pubsub system Find out more about Ably and Paddy and be sure the checkout their GitHub profile.

 

]]> Mon, 26 Oct 2020 11:00:00 +0000 robdefeo@gmail.com (Rob De Feo) https://startupengineering.co/episodes/how-to-synchronise-a-distributed-pubsub-system-c9WQrOxQ Find out more about Ably and Paddy and be sure the checkout their GitHub profile.

 

]]> How to synchronise a distributed pubsub system Rob De Feo 00:32:20 Building a fully distributed system is really hard. But a few compromises can go a long way. Hear how Paddy CTO and Co-Founder of Ably, would white board out complex problems and where needed centralise small pieces in a single region. It might seem simple or small but trade offs like this can go along way and still meets the requirement of a pier to pier region relationship where any region can fail and come back online at anytime. What trade offs are hidden in your architecture that would simplify your stack? Building a fully distributed system is really hard. But a few compromises can go a long way. Hear how Paddy CTO and Co-Founder of Ably, would white board out complex problems and where needed centralise small pieces in a single region. It might seem simple or small but trade offs like this can go along way and still meets the requirement of a pier to pier region relationship where any region can fail and come back online at anytime. What trade offs are hidden in your architecture that would simplify your stack? no full 7 28514922-ab3c-4bbb-9318-cd2560a8765c Finbourne - How a Fintech tackles dual meanings of time Resources:

]]> Thu, 20 Aug 2020 08:00:04 +0000 robdefeo@gmail.com (Rob De Feo, Thomas Mchugh) https://startupengineering.co/episodes/finbourne-how-a-fintech-tackles-dual-meanings-of-time-MHceeYc4 Resources:

]]> Finbourne - How a Fintech tackles dual meanings of time Rob De Feo, Thomas Mchugh 00:32:05 Lots of systems store events that happen at moments in time. But what if the timestamps can have more than one meaning. Tom the co-founder of Finbourne explains how they use bi-temporal data and event sourcing to build a consistent view of portfolio data where they can look back at any point in time and find out the two truths. What did system see at that time and what did the world see. Find out the difference between "effective at" and "as at" and learn what happens when you need to make corrections to the timeline. Lots of systems store events that happen at moments in time. But what if the timestamps can have more than one meaning. Tom the co-founder of Finbourne explains how they use bi-temporal data and event sourcing to build a consistent view of portfolio data where they can look back at any point in time and find out the two truths. What did system see at that time and what did the world see. Find out the difference between "effective at" and "as at" and learn what happens when you need to make corrections to the timeline. no full 6 fe86b7e2-96d0-49dd-b0d1-bc96476731fa SignalAI - Why startups with academics build great products Luca is an entrepreneurial Technology Leader, working with startups and scaleups in creating the next wave of innovation. Currently he’s the VP Engineering of Signal AI where he leads the Product & Technology provision. Prior to that, he was Strategy Product Lead at uSwitch.com, the leading UK comparison website. His experience also involves high level technology consultancy assisting clients in digital transformation and creation of new digital products. He worked as a Lead Consultant for ThoughtWorks, focussing on the European markets.

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]]> Mon, 29 Jun 2020 13:29:34 +0000 robdefeo@gmail.com (Rob De Feo, Luca Grulla) https://startupengineering.co/episodes/why-startups-with-academics-build-great-products-hqlUtEL7 Luca is an entrepreneurial Technology Leader, working with startups and scaleups in creating the next wave of innovation. Currently he’s the VP Engineering of Signal AI where he leads the Product & Technology provision. Prior to that, he was Strategy Product Lead at uSwitch.com, the leading UK comparison website. His experience also involves high level technology consultancy assisting clients in digital transformation and creation of new digital products. He worked as a Lead Consultant for ThoughtWorks, focussing on the European markets.

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]]> SignalAI - Why startups with academics build great products Rob De Feo, Luca Grulla 00:30:52 Developing deep learning models requires the latest in academic research. Yet the structure and pace of academia can't be found in the chaotic and ambiguous world of startups. SignalAI do research with in house and in collaboration with universities . Luca Grulla the CTO explains how SignalAI build their teams, tools, and datasets so researchers can directly implement the state of the art to build great products. Developing deep learning models requires the latest in academic research. Yet the structure and pace of academia can't be found in the chaotic and ambiguous world of startups. SignalAI do research with in house and in collaboration with universities . Luca Grulla the CTO explains how SignalAI build their teams, tools, and datasets so researchers can directly implement the state of the art to build great products. no full 5 e78ceda7-c433-44b4-8e51-910b923830e4 SimScale - Legacy Desktop Simulation Software to the Cloud As one of five co-founders, Anatol started work on the backend and infrastructure of SimScale while studying Computer Science at TU Munich and Georgia Tech. Today, with SimScale being both on a sound technological footing and a successful business, he and his team work on anything infrastructure – from typical topics like CI/CD, data storage, or provisioning cloud resources cost-efficiently and conveniently as needed by users and developers, to cross-cutting concerns like security or privacy. He also enjoys finding great new talent – if you want to find out more about the unique and fun challenges at SimScale.  Get in touch on LinkedIn, Twitter, Facebook, YouTube or Instagram.

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]]> Mon, 8 Jun 2020 10:00:27 +0000 robdefeo@gmail.com (Anatol Dammer) https://startupengineering.co/episodes/simscale-legacy-desktop-simulation-software-to-the-cloud-6WHTxyF0 As one of five co-founders, Anatol started work on the backend and infrastructure of SimScale while studying Computer Science at TU Munich and Georgia Tech. Today, with SimScale being both on a sound technological footing and a successful business, he and his team work on anything infrastructure – from typical topics like CI/CD, data storage, or provisioning cloud resources cost-efficiently and conveniently as needed by users and developers, to cross-cutting concerns like security or privacy. He also enjoys finding great new talent – if you want to find out more about the unique and fun challenges at SimScale.  Get in touch on LinkedIn, Twitter, Facebook, YouTube or Instagram.

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]]> SimScale - Legacy Desktop Simulation Software to the Cloud Anatol Dammer 00:29:31 Computed Aided Engineering (CAE) allow engineers to run Computational Fluid Dynamics, Finite Element Analysis and Thermal simulations. The software is built and maintained over years with many contributors as open source in large C++ codebases. Simulation software was designed for running on a desktop client. SimScale run these in the cloud as part of a modern mircoservice architecture. Anatol Dammer on of 5 co-founders takes us behind the scenes and explains how SimScale have taken large, difficult to scale, legacy codebases and built a microservice architecture using modern programming languages. Computed Aided Engineering (CAE) allow engineers to run Computational Fluid Dynamics, Finite Element Analysis and Thermal simulations. The software is built and maintained over years with many contributors as open source in large C++ codebases. Simulation software was designed for running on a desktop client. SimScale run these in the cloud as part of a modern mircoservice architecture. Anatol Dammer on of 5 co-founders takes us behind the scenes and explains how SimScale have taken large, difficult to scale, legacy codebases and built a microservice architecture using modern programming languages. no full 4 da631a56-175a-4844-9f47-4003893393b5 Echobox - Experiment and measure before scaling remote working Marc Fletcher graduated with a PhD in Physics (Quantum Computing) from the University of Cambridge and has been the CTO at Echobox since 2014. Whilst not jumping out of planes or competing for GB as a professional skydiver, he’s particularly passionate about maximising productivity in high performance cross-functional technology teams.

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]]> Mon, 4 May 2020 10:38:28 +0000 robdefeo@gmail.com (Rob De Feo, Marc Fletcher) https://startupengineering.co/episodes/echobox-scaling-remote-working-with-data-_VsBvjQa Marc Fletcher graduated with a PhD in Physics (Quantum Computing) from the University of Cambridge and has been the CTO at Echobox since 2014. Whilst not jumping out of planes or competing for GB as a professional skydiver, he’s particularly passionate about maximising productivity in high performance cross-functional technology teams.

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]]> Echobox - Experiment and measure before scaling remote working Rob De Feo, Marc Fletcher 00:33:39 Working remotely is becoming the new norm with more companies adopting long term, yet little analysis has been completed to measure its benefits. Before scaling their team Echobox measured the impact on remote working on performance. Marc Fletcher the CTO of Echobox explains how they analyzed remote working in their team by using data collected on productivity over a 2 year period. Working remotely is becoming the new norm with more companies adopting long term, yet little analysis has been completed to measure its benefits. Before scaling their team Echobox measured the impact on remote working on performance. Marc Fletcher the CTO of Echobox explains how they analyzed remote working in their team by using data collected on productivity over a 2 year period. no full 3 ef19ce5e-c832-4740-9126-f0dfd197859d Deepset - Machine learning research to enterprise ready services Our guest Malte Pietsch is a Co-Founder of deepset, where he builds NLP solutions for enterprise clients, such as Siemens, Airbus and Springer Nature. He holds a M.Sc. with honors from TU Munich and conducted research at Carnegie Mellon University.

He is an active open-source contributor, creator of the NLP frameworks FARM & haystack and published the German BERT model. He is particularly interested in transfer learning and its application to question answering / semantic search.

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]]> Tue, 7 Apr 2020 10:59:31 +0000 robdefeo@gmail.com (Rob De Feo, Malte Pietsch) https://startupengineering.co/episodes/scaling-machine-learning-research-to-enterprise-ready-services-_aS6sLgw Our guest Malte Pietsch is a Co-Founder of deepset, where he builds NLP solutions for enterprise clients, such as Siemens, Airbus and Springer Nature. He holds a M.Sc. with honors from TU Munich and conducted research at Carnegie Mellon University.

He is an active open-source contributor, creator of the NLP frameworks FARM & haystack and published the German BERT model. He is particularly interested in transfer learning and its application to question answering / semantic search.

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]]> Deepset - Machine learning research to enterprise ready services Rob De Feo, Malte Pietsch 00:26:08 Using the latest from machine learning research in enterprise products is hard. Research projects are built to advance research goals. Its not easy to convert papers, code, and scripts in products. They are difficult to maintain and scale. Malte Pietsch is a Co-Founder of deepset explains their approach to scaling research into production ready enterprise scale applications. Using the latest from machine learning research in enterprise products is hard. Research projects are built to advance research goals. Its not easy to convert papers, code, and scripts in products. They are difficult to maintain and scale. Malte Pietsch is a Co-Founder of deepset explains their approach to scaling research into production ready enterprise scale applications. no full 2 cd0e442d-5043-42ce-9d23-ba273c850ba1 Zego - Retrofitting an insurance accounting ledger Stuart has been a coder since he was 13 and professionally for the last 15 years. He has worked in various London startups since 2011. In 2016 Stuart eventually bit the bullet and co-founded Zego, a micro-insurance startup for the gig economy. 

Zego is a global insurtech business providing flexible commercial insurance for businesses and professionals.

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]]> Mon, 30 Mar 2020 10:00:08 +0000 robdefeo@gmail.com (Rob De Feo, Stuart Kelly) https://startupengineering.co/episodes/zego-retrofitting-an-insurance-accounting-ledger-OYA2UM9E Stuart has been a coder since he was 13 and professionally for the last 15 years. He has worked in various London startups since 2011. In 2016 Stuart eventually bit the bullet and co-founded Zego, a micro-insurance startup for the gig economy. 

Zego is a global insurtech business providing flexible commercial insurance for businesses and professionals.

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]]> Zego - Retrofitting an insurance accounting ledger Rob De Feo, Stuart Kelly 00:32:28 Startups need to move quickly, but doing this in a regulated industry is difficult. Zego is a London based insurance technology startup that provides short term insurance for the gig economy workers. Stuart, a co-founder and staff engineer, explains how Zego balances regulatory requirements and fast iteration. Startups need to move quickly, but doing this in a regulated industry is difficult. Zego is a London based insurance technology startup that provides short term insurance for the gig economy workers. Stuart, a co-founder and staff engineer, explains how Zego balances regulatory requirements and fast iteration. no full 1 2d829964-418a-4552-808e-33fd5a33a480 Trailer Startup Engineering host Rob De Feo goes behind the scenes at startups. We hear from the engineers, CTO’s, and founders that built the technology and products at some of the world's leading startups. Each episode we will learn the inside story of how they overcame their biggest technology challenges. From launch through to achieving mass scale, and all the bumps in between. Engineers share their experiences, lessons learnt and best practices. Mon, 23 Mar 2020 15:01:03 +0000 robdefeo@gmail.com (Rob De Feo) https://startupengineering.co/episodes/trailer-Uy7pLkPb Trailer Rob De Feo 00:00:52 Startup Engineering host Rob De Feo goes behind the scenes at startups. We hear from the engineers, CTO’s, and founders that built the technology and products at some of the world's leading startups. Each episode we will learn the inside story of how they overcame their biggest technology challenges. From launch through to achieving mass scale, and all the bumps in between. Engineers share their experiences, lessons learnt and best practices. Startup Engineering host Rob De Feo goes behind the scenes at startups. We hear from the engineers, CTO’s, and founders that built the technology and products at some of the world's leading startups. Each episode we will learn the inside story of how they overcame their biggest technology challenges. From launch through to achieving mass scale, and all the bumps in between. Engineers share their experiences, lessons learnt and best practices. no trailer