RBAC

Cloud Native Security: Protecting Containers and Orchestration Cloud native systems move fast, but they also expose new security surfaces. Containers, registries, and orchestration layers share a living environment. A practical security approach treats every stage—from build to runtime—as part of a single plan. Start with guardrails in place before code ships, and keep tightening them as workloads scale. Secure build and image lifecycle Use minimal base images and multi-stage builds to reduce attack surfaces. Require signed images and set vulnerability thresholds in CI. Keep an up-to-date SBOM to track components and dependencies. If a CVE is found, pull a fixed tag and re-build, then re-deploy. Runtime and orchestration security ...

Secure APIs: Authentication, Authorization and Rate Limiting APIs are the backbone of modern software. To keep data safe and services reliable, you need a clear plan for authentication, authorization, and rate limiting. These three parts work together: authentication verifies who is calling, authorization decides what they can do, and rate limiting controls how fast they can go. Getting all three right reduces risk and improves user experience. Authentication There are several common options that fit different scenarios: ...

Kubernetes Essentials: Orchestrating Containers at Scale Kubernetes helps teams run containerized apps at scale. It schedules containers on a cluster of machines, recovers from failures, and keeps services reachable. The control plane coordinates work across nodes, while the data plane runs your containers. A few core ideas make it practical for real products. Pods are the basic units. A pod runs one or more containers that share the same network identity and storage. Deployments manage pod templates and ensure a desired number of replicas. Services provide stable endpoints to access pods, with built-in load balancing and service discovery. Together, deployments, pods, and services let you deploy, update, and scale with confidence. ...

Secure API Design: Authentication, Authorization, and Rate Limiting Designing secure APIs means more than just keeping data private. It requires clear rules about who can connect, what actions they can perform, and how fast they may request resources. A thoughtful design helps both developers and users by reducing surprises and errors. Authentication Authentication confirms identity. Modern APIs often use a mix of API keys, tokens, and standards like OAuth 2.0 with OpenID Connect. A recommended pattern is to issue short‑lived access tokens, validate them on every call, and use refresh tokens for long sessions. Always enforce TLS, validate the token signature, and check the intended audience and issuer. Store secrets securely, rotate keys regularly, and log failures for anomaly detection. Favor token-based flows over long‑lived credentials, and keep endpoints simple so clients know how to obtain and renew access. ...

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. ...

Kubernetes Beyond the Basics: Clusters, Operators, Flux Kubernetes is powerful, but production work goes beyond pods and services. In practice, teams succeed by thinking in terms of clusters, operators, and a GitOps workflow. This article keeps concepts practical and easy to reuse. Clusters design choices Clusters come in many shapes. A simple project might run a single cluster, while larger teams use several regions or clouds. Key ideas: Central management: a dedicated cluster handles policy, identity, and backup across environments. Per-environment clusters: one cluster for development, another for staging, and another for production. Multi-cluster: coordinated workloads across clusters with service meshes or shared ingress. When planning, balance security, networking, and cost. Document choices so new engineers understand the structure. Clusters are not just infrastructure; they are the guardrails for your apps and data. ...