Containers vs Virtual Machines: Key Differences and When to Use Each
Containers share a kernel, VMs bring their own. Here is how they differ on isolation, startup speed, density and cost, and how to decide which one a workload needs.
How easy, efficient, and pleasant it is for software developers to do their work with a given set of tools, processes, and platforms.
Developer experience, often shortened to DevEx or DX, covers everything that affects a developer's day: how quickly they can set up a project, how long builds and tests take, how clear the documentation is, how easy it is to deploy, and how often they are interrupted or blocked.
For example, if a new hire needs two weeks and help from five people to run an application locally, developer experience is poor. Improving it might mean a one-command setup script, faster test suites, and a self-service platform for creating environments. Companies invest in developer experience because friction slows delivery and frustrates staff. Platform engineering teams often treat it as their main goal, measuring it through surveys and metrics such as lead time for changes.
Four measures of software delivery performance: deployment frequency, lead time for changes, change failure rate, and time to restore service.
DevOpsA culture and set of practices that unite software development and IT operations to deliver software faster and more reliably.
Platform EngineeringThe practice of building an internal developer platform that gives software teams self-service tools to build, deploy, and run applications.
Containers share a kernel, VMs bring their own. Here is how they differ on isolation, startup speed, density and cost, and how to decide which one a workload needs.
Microservices vs monolith explained plainly: why most teams should start with a modular monolith, the real costs of microservices, and the signals that justify splitting.
Technical debt explained in plain English: the main types, how to measure the "interest" you're paying, and a practical way to prioritize paydown alongside feature work.