Network-Policy

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 Security: Hardening Clusters Kubernetes offers great power, but it also invites mistakes. A well-hardened cluster reduces risk without slowing teams. This article shares practical steps any team can apply, from baseline settings to ongoing monitoring. Baseline hardening Start with a solid base. Use a supported Kubernetes version and apply patches promptly. Enable audit logging to capture API activity, and store logs in a secure, central location. Apply Role-Based Access Control (RBAC) and avoid granting cluster-admin unless absolutely needed. Enforce Pod Security Standards to limit pod privileges, and enable core admission controllers that enforce policy at admission time. ...

Cloud Native Security Practices for Developers Cloud native apps rely on many moving parts—containers, service meshes, and cloud services. Security cannot be tacked on at the end. Developers should bake protections into code, images, pipelines, and runtime. Start with clear goals: protect data, limit access, and detect problems early. Secure by design helps teams avoid risky surprises. Define access early, choose safe defaults, and store secrets in a trusted vault. Automate checks that fail deployments when a risk is found, so safety becomes part of the workflow, not an afterthought. ...