![]() ![]() This means all technical roles share monitoring and incident response, with escalation happening laterally to bring in any skill set required to restore service in case of problems. The department is responsible for building and maintaining common infrastructure that allows the rest of product development teams to run their code.īoth Production Engineering and all the product development teams share responsibility for the ongoing operation of our end-user applications. Around this time, we decided to create the Production Engineering department and merge the teams. Engineering at Shopifyīefore 2015, we had an Operations and Performance team. Our team's motto is "make scale invisible for developers". We provide guidelines and APIs on how to write software that scales by default, which essentially makes the rest of the developers at Shopify our customers. Our team owns areas like sharding, scalability and reliability of the platform. My name is Kir Shatrov and I'm a Senior Production Engineer at Shopify working on the Service Patterns team. ![]() These "flash sales" are tricky from an engineering point of view because of their unpredictably large volumes of traffic. While helping aspiring entrepreneurs to launch their stores, Shopify also holds some of the world's largest sales for the Super Bowl, Kylie Cosmetics, and celebrities like Justin Bieber and Kanye West. Shopify powers 600K merchants and serves 80K requests per second at peak. Shopify is a multi-channel commerce platform for small and medium businesses that lets you create a shop and sell products wherever you want: online via web store or social media and offline with a POS card reader. Qovery takes care of these details, saves you time and lets you focus on what makes the difference: your applications.This article was originally published on Stackshare.io Background When deploying in cloud environments, it's easy to spend a lot of time dealing with the details of managing the various cloud services involved. Services can be managed via the Qovery web app or the command line interface (CLI) without fiddling with the intricacies of infrastructure, network, system or databases. With Qovery, developers simply pick their repository, push their code, and their app is deployed. – Romaric Philogène, Co-Founder & CEO, Qovery We’re obsessed with making developers super-productive, letting them focus on what they love: writing code, not managing infrastructure. It initializes, configures, and manages the entire infrastructure, integrates seamlessly with both GitHub and GitLab, and requires zero effort without locking teams into a specific PaaS - all while keeping the full flexibility and customizability of their IaaS provider. Qovery lets developers deploy full stack applications to the cloud with the simplicity of a Platform as a Service (PaaS), but with the ability to deploy into their own IaaS accounts, such as Amazon Web Services, Digital Ocean, Scaleway and the Google Cloud Platform in an upcoming release. But with all that choice and the ever increasing offerings by Infrastructure as a Service (IaaS) providers, such as Amazon Web Services, dev teams need to spend a growing amount of time managing this complexity, time that would be better spent on building their products. Today's developers can choose from a vast ecosystem of tools and the most powerful infrastructure is just a few command line calls (or clicks) away. ![]()
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