DevOps KB Pages

Kubernetes Ingress and Service LoadBalancer both handle external access to applications running in a Kubernetes cluster, but they operate in different ways and are used in different scenarios. Here’s a comparison to understand their differences: Kubernetes Service LoadBalancer Purpose : Exposes a single Service to external traffic by creating a load balancer. Operation : Directly creates a cloud provider load balancer (e.g., AWS ELB, GCP LB). Maps a single Service to the external load balancer, which routes traffic to the Service's Pods. Provides a single external IP address for the Service. Use Case : Suitable for simple use cases where a single Service needs to be exposed to external traffic. Complexity : Less complex setup, easy to configure, ideal for straightforward scenarios. Example : Exposing a single web application to the internet. Kubernetes Ingress Purpose : Manages external access to multiple Services, typically HTTP and HTTPS, providing load balancing, SSL termination...

 Ingress has two components: - Ingress Controller      The controller is deployed as a pod on all the nodes (i.e. Nginx)     The pods are deployed using a "Deployment"     the default route is defined in the deployment     there is NO "kind: IngressController" there is only kind "ingress" after the controller has been deployed in the cluster. - Ingress Resource     The resources is used to route the traffic to the correct backend/service References: https://overcast.blog/kubernetes-ingress-controllers-and-ingress-resources-a-practical-guide-7a709dec3e4b

Digital Employee Experience (DEX) and Remote Monitoring and Management (RMM) tools serve different purposes and cater to distinct aspects of IT and employee management. Digital Employee Experience (DEX) Focus: Enhancing the overall experience of employees with their digital workplace tools and environment. Key Features: User Experience Monitoring: Tracks how employees interact with software and hardware, identifying issues impacting productivity. Performance Analytics: Provides insights into the performance of applications from the end-user's perspective. Feedback Mechanisms: Allows employees to report issues and give feedback on their digital tools and environment. Employee Well-being: Monitors factors that affect employee satisfaction and well-being, such as system performance and usability. Proactive Support: Identifies potential issues before they become significant problems, enabling proactive IT support. Goals: Improve employee satisfaction and productivity. Ensure a sm...

The Capability Maturity Model Integration (CMMI) is a set of best practices that helps organizations improve their processes, capabilities, and performance. The model's goal is to create reliable environments where products, services, and departments are efficient, productive, and proactive References:  https://www.ewsolutions.com/fundamentals-capability-maturity-model/ https://en.wikipedia.org/wiki/Capability_Maturity_Model

Claude AI is a chatbot and generative AI model developed by Anthropic AI, an AI startup, to have natural conversations and perform tasks like summarizing, editing, and answering questions. Claude is designed to be helpful, honest, and harmless, and it incorporates the Constitutional AI model to follow a set of principles when generating responses. Claude is also built with safety and ethics in mind, and it doesn't collect or store personal information  https://claude.ai/chat/a3016232-2956-473c-875c-c763089eea37

Step-1: Create PV (PersistentVolume) Step-2: Create PVC (PersistentVolumeClaim) to bind and claim the storage from PV Things to note: - PVC Binding might fail if the AccessModes are not correct. References: https://dev.to/otomato_io/how-to-use-pre-existing-disk-as-a-k8s-persistent-volume-for-a-gke-cluster-3phd https://kubernetes.io/docs/concepts/storage/persistent-volumes/

In Kubernetes, requests and limits manage resources like CPU and memory. Requests ensure a container receives the specified resources by scheduling it on an appropriate node. Limits cap the maximum resources a container can use. The limit must always be equal to or greater than the request, otherwise, Kubernetes will prevent the container from running.   Keep Requests Minimal: Keeping resource requests minimal in Kubernetes is a best practice for optimizing node utilization and reducing costs. By setting minimal requests, you ensure that containers only reserve the resources they truly need, preventing nodes from being underutilized and avoiding unnecessary expenses for over-provisioned resources. This efficient resource management helps in better scheduling and balancing of workloads across the cluster. However, minimal requests do not mean your containers will lack resources. Kubernetes allows containers to use additional resources up to their defined limits if available, ensurin...