DevOps & Automation
CNCF CKA: Ingress, Gateway API, and External Access
Applications running in Kubernetes often need traffic from outside the cluster. The challenge is not simply opening a port. Operators…
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DevOps & Automation
CNCF CKA: Kubernetes Cluster Architecture
Kubernetes architecture is built around a control plane that stores desired state and a set of worker nodes that run…
Networking
CNCF CKA: Kubernetes Services and Networking
Kubernetes networking lets Pods communicate across nodes while Services provide stable endpoints over a changing set of Pods. The key…
Infrastructure & Systems
CNCF CKA: Persistent Volumes and Storage Classes
Containers are disposable, but application data often is not. Kubernetes therefore separates workload lifecycle from persistent storage through PersistentVolumes, PersistentVolumeClaims,…
DevOps & Automation
CNCF CKA: Pods, Deployments, and ReplicaSets
Kubernetes runs application containers inside Pods, but administrators rarely manage production Pods one by one. Higher-level workload controllers create, replace,…
DevOps & Automation
CNCF CKA: Kubernetes RBAC
Kubernetes Role-Based Access Control, or RBAC, governs what authenticated identities are allowed to do through the Kubernetes API. It is…
DevOps & Automation
CNCF CKA: Scheduling with Taints, Tolerations, and Affinity
Kubernetes scheduling matches unscheduled Pods to nodes that can run them. Most workloads can rely on the default scheduler, which…
DevOps & Automation
CNCF CKA: Troubleshooting Kubernetes Nodes and Workloads
Kubernetes troubleshooting is fastest when administrators identify which layer owns the symptom before changing anything. A failing application might be…
AI & Data
Microsoft AI-300: Prompt Versioning and Release Management
A prompt is production logic when changing it can change what an AI application says or does. That makes prompt…
AI & Data
Microsoft AI-300: Responsible AI in Production
Responsible AI becomes concrete only when a system is exposed to real users, real data, and real consequences. Principles such…
AI & Data
Microsoft AB-100: AI Agent Governance in Regulated Industries
AI agents create a governance problem that is different from ordinary chatbots. A chatbot primarily produces information. An agent can…
AI & Data
Microsoft AB-100: AI Agent Orchestration for Business Workflows
Agentic AI becomes genuinely useful when it can participate in a business process rather than merely answer a question. That…
AI & Data
Microsoft AB-100: Enterprise AI Agents with Microsoft Foundry
Building an enterprise AI agent is less about finding a clever prompt and more about assembling a governed runtime around…
AI & Data
Microsoft AB-100: Evaluating AI Agents Pre-Production
An AI agent can produce impressive demonstrations and still be unsafe to release. The difference is that production exposes the…
Technology Fundamentals
Microsoft AB-100: Grounding Enterprise Agents with Trusted Data
Enterprise agents become useful when they can work with information that is specific to the organization: policies, product catalogs, contracts,…