K8s

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. ...

Cloud Security: Guarding Cloud Native Environments Cloud native environments push code to production quickly, but security must keep pace. In the cloud, security is a shared duty between providers and your team. A practical approach uses clear roles, documented processes, and automated tools to protect data, identities, networks, and workloads. Identity and access management Guard access with the principle of least privilege. Use short-lived credentials, rotate keys, and assign roles by job function. Enforce multi-factor authentication for all users and service accounts. Regularly review access, remove unused keys, and separate duties so no one has too much power. Use service accounts with specific scopes and avoid long-term secrets. For machines, prefer roles or tokens that expire and rotate automatically. ...

Kubernetes Essentials: Orchestrating Containers at Scale Kubernetes helps teams run many containers reliably across multiple machines. Instead of starting and stopping each container by hand, you declare the desired state: three copies of an app, a stable network address, and limits on resources. The cluster then matches that state, restarts failed containers, and schedules work where resources are available. It is designed to grow from a small test setup to a large production platform without cycling through complex manual steps. ...

API Gateways and Service Meshes: Managing Microservices In a microservices world, traffic management is essential. API gateways and service meshes address different layers of this problem. A gateway sits at the boundary, while a service mesh operates inside the system. Together they improve security, reliability, and developer speed. What API gateways do API gateways act as a single entry point for external clients. They usually handle TLS termination, authentication, rate limiting, and request routing. They can transform requests, enforce API versions, and cache responses for common calls. If you run many public APIs, a gateway keeps things consistent and controlled. ...

Virtualization vs Containers: Choosing the Right Tech Both virtualization and containers help run software away from a developer’s laptop, but they solve different problems. Virtual machines emulate hardware, run a full guest OS, and provide strong isolation. Containers share the host OS kernel, isolate at the process level, and package only the app and its dependencies. This distinction affects cost, speed, and security in real projects. If you need solid, long‑term isolation and support for multiple operating systems, virtual machines are often the cleaner choice. If you want fast deployment, smaller images, and easy horizontal scaling, containers shine. Many teams run a mix: core services in containers, legacy workloads in VMs, and an orchestration layer to manage both. ...

Cloud Native Systems and Platform Engineering Cloud native systems are built to run in dynamic, scalable environments. They rely on containers, orchestration, and automation to handle changing loads. Platform engineering is the practice of shaping a shared internal platform that teams can use safely and quickly. Together, they reduce friction, improve reliability, and help software teams deliver value faster. When done well, deployments are repeatable, audits are easier, and incidents are fewer. Real-world systems often face multi-region traffic, rolling updates, and dependency churn; a strong platform design smooths these transitions rather than amplifying risk. ...