How does your team deal with technical debt?
Read MoreWhat do you do when you realize that the BESTSELLER IT naming is not really fit for the purpose anymore?
Read MoreAvoid year old dependencies with CircleCI Dependabot
Sep 29, 2022 | 5 minutes | Peter Brondum CircleCI Dependabot GitHub dependencies orb docker CloudRun CloudSQL GCPHow we had fun over engineering our dependabot-circleci by running it as multi-tiered serverless containers, but at the same time making it way easier for you to use.
Read MoreWhy a fish tank? Because of micro-frontends! I'll tell you what they have in common, and how we started using them.
Read MoreHow we, at BESTSELLER, provide the development teams with self-service to manage their Github team members.
Read MoreWant to run serverless applications and use your secrets from Hashicorp Vault? Google's Cloud Run and Cloud Functions are brilliant for running workloads without having to mange any infrastructure. But more often than not, the serverless application needs to communicate with other services. This will most likely …
Read MoreHave you updated your dependencies lately? In this post, I will cover how we at BESTSELLER keep our CI configurations updated and how you will be able to do the same.
Read MoreHow do you pass around your secrets, without leaking them? In this post we will be diving into how to manage our secrets.
Read MoreHow to configure Harbor with Terraform
Dec 17, 2020 | 4 minutes | Brett Wright howto terraform terraform-provider-harbor harbor goharbor docker k8s kubernetesWhat is Harbor? Harbor is an open source registry that secures artifacts with policies and role-based access control, ensures images are scanned and free from vulnerabilities, and signs images as trusted. Why we choose Harbor. We had many different cloud based container registries and wanted to consolidate these …
Read MoreAt BESTSELLER we run multiple Kubernetes clusters in multiple clouds, which gives us some assurance that even if one provider or one region is degraded we are still able to serve our customers. But multiple clusters, multiple clouds and multiple teams can be a bit difficult to grasp as an engineer. That is why we …
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