DevOps & Cloud

Virtualization and Containers: A Practical Guide Virtualization and containers are two reliable ways to run software in isolation. A hypervisor creates virtual machines, each with its own operating system. Containers package an app and its dependencies, but they share the host’s kernel. This fundamental difference shapes startup times, resource use, security boundaries, and how you manage updates. For many teams, using both tools together offers the right balance of safety and speed. ...

Secure DevOps: Integrating Security Early Secure DevOps means security is woven into the entire lifecycle, not an afterthought. Teams plan, code, test, and deploy with safety checks built in. When security is part of the plan, developers ship faster because they catch flaws early and avoid costly fixes later. The idea is to treat security as a shared responsibility, not a single gate at the end of the line. Shift-left security invites threat modeling in design and secure coding practices. For infrastructure, treat every environment as code and guard it with automated checks. This makes misconfigurations less likely and helps teams explain decisions to reviewers and auditors. ...

Secure Software Development Lifecycle: From Code to Cloud Modern software moves fast, but speed alone does not build trust. A Secure Software Development Lifecycle (SDLC) weaves security into every step, from planning to cloud delivery. With clear goals and small checks along the way, teams can cut risk without slowing down. Security is a shared responsibility. When developers, operators, and product teams align, issues are found earlier, costs drop, and customers feel safer. The plan below helps teams work securely across the code-to-cloud journey. ...

Virtualization and Containers: From VMs to Kubernetes Technology has shifted from large virtual machines to small, fast containers. This article explains the change and how it affects how we build, deploy, and run software. The goal is clear: more reliable apps that scale with less fuss. Virtualization with a hypervisor creates many virtual machines. Each VM runs its own operating system, has its own memory, and starts independently. Containers, by contrast, share the host OS kernel. They bundle only the app and its immediate needs, so start times are quick and the footprint is smaller. This difference changes how we work day to day. ...