Kubernetes

Virtualization and Containers A Practical Guide Virtualization and containers are two practical ways to run software in isolated environments. Virtual machines emulate hardware and run a full operating system, while containers share the host kernel and package only the app and its dependencies. This difference makes containers lightweight and fast to start, but it also means they share more with the host. Both approaches have a place in modern IT, and the best choice depends on your goals. ...

Kubernetes Beyond the Basics Kubernetes is a powerful platform, but most introductory guides cover only pods, deployments, and services. Real teams move to reliability, security, and scale. In this post we explore practical topics that come after the basics, with concrete actions you can try in a cluster. Beyond RBAC and Namespaces Fine-grained access control helps protect workloads. Go beyond the basics by using dedicated namespaces, strong roles, and limited service accounts. Start with a least privilege approach: assign roles only for the resources a user or workload needs. Watch usage with quotas and limit ranges to avoid noisy surprises. Enable audit logging and keep a simple policy to review changes monthly. Separate concerns by isolating data services from application code, and keep a clean boundary between environments. ...

Understanding Web Servers and How They Scale A web server is software that accepts HTTP requests from browsers or apps, runs code, and returns responses such as HTML, JSON, or media. When many users visit a site, the server must react quickly to keep the experience smooth. Scaling is the practice of growing capacity to meet demand. Requests flow is simple in theory. A user’s request travels from the browser to a nearby edge or CDN, then to a load balancer, and finally to one of several application servers. The app server talks to databases and caches. Many modern services stay stateless: each request carries what it needs, so any server can handle it. ...

Kubernetes Fundamentals: Orchestrating Containers at Scale Kubernetes helps run containers across many machines. It schedules workloads, restarts failed apps, and coordinates updates so services stay available. This makes it easier for teams to deploy modern applications, whether they run in the cloud or on premises. A cluster has two main parts: the control plane and the worker nodes. The control plane decides where to run tasks and tracks the desired state. The nodes actually run the containers, grouped into pods. Pods are the smallest deployable units and usually hold one container, but can host a few that share storage and network. Deployments manage the lifecycle of pods, while Services expose them inside the cluster or to users outside. ...

Kubernetes and Beyond: Orchestrating Cloud-Native Apps Kubernetes is the current standard for running cloud-native apps. It helps teams deploy, scale, and manage containers across many machines. With declarative configuration, you describe the desired state and the system makes it real. This keeps deployments repeatable and reduces human error. At its core, Kubernetes groups containers into pods, manages networking, storage, and health checks, and offers features like rolling updates and horizontal auto-scaling. Teams gain speed, but also need discipline around configuration, access, and costs. ...

Virtualization Trends: From VMs to Microservices Virtualization has moved fast in the last decade. It started with virtual machines, then containers, and now microservices. The goal stays the same: run software more reliably, at scale, with less waste. The shift touches teams, tools, and everyday decisions about how we design, deploy, and manage apps. From VMs to containers, the change is clear. VMs give strong isolation but require more resources. Containers share the operating system and run faster. Microservices take this a step further: a large app splits into small parts that can be updated independently. This model fits modern thinking about resilience, fast delivery, and teams working in parallel. ...

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. ...

Virtualization and Containers: From VMs to Kubernetes Understanding the landscape Technology has moved from full virtual machines to lightweight containers. This shift changes how teams build, test, and run software. VMs offer strong isolation and compatibility, while containers emphasize speed, portability, and a consistent environment from development to production. Understanding how each approach works helps you pick the right tool for the job. A VM runs its own OS on top of a hypervisor. It feels like a separate computer, which is great for legacy apps or strict security needs. But it also carries more overhead and slower startup times. Containers, in contrast, share the host OS kernel and run in isolated user spaces. They boot quickly, use fewer resources, and travel well across different machines. ...

Cloud Native Security: Guardrails for Kubernetes and Beyond Cloud native security is not a single tool. It is a set of guardrails that steer fast teams toward safe, reliable systems. Guardrails help developers ship features quickly while reducing the risk of misconfigurations, leaked secrets, or broken access control. The idea is to automate policy, enforce it where it matters, and observe the outcome so you can improve over time. Guardrails work best when they are lightweight to adopt and strong in enforcement. They sit in the development workflow, the container run time, and the network layer. Policy as code is the backbone: rules are written once, reviewed, and applied automatically. In Kubernetes, admission checks, runtime protection, and secret management are the core layers. Across the cloud, identity, access management, and supply chain safeguards join the picture to prevent drift and abuse. ...

Kubernetes Fundamentals: Orchestrating Containers at Scale Kubernetes helps teams deploy and manage apps at scale. It turns your desired state into reality, keeping containers running, restarting failed ones, and balancing load across nodes. With declarative configurations, you can reproduce environments and roll out changes safely. A cluster has two parts: the control plane and the worker nodes. The control plane makes decisions via components like the API server, scheduler, and controllers, and it stores state in etcd. On each node, the kubelet talks to the API server and starts containers with a runtime, while kube-proxy handles networking between services and pods. ...