Pulumi’s Post

Mastering Multi-Tier Application Deployment on AWS EKS: A 10-Tier Architecture Guide https://lnkd.in/dsPSCCAi Amazon Web Services (AWS) #aws #awslambda #businesscompassllc

𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐭𝐢𝐨𝐧 🔹 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐏𝐥𝐚𝐧𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - kube-apiserver: Acts as the front-end for the control plane, managing the API. - etcd: Stores all cluster data, serving as the data storage component. - kube-scheduler: Decides where to run unscheduled Pods, allocating workloads efficiently. - kube-controller-manager: Ensures the actual state matches the desired state, monitoring and recovering the system's state. - cloud-controller-manager: Manages interaction between the cluster and the underlying cloud provider, facilitating cloud integration. 🔹 𝐖𝐨𝐫𝐤𝐞𝐫 𝐍𝐨𝐝𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - kubelet: Responsible for node management, ensuring containers run smoothly within Pods. - kube-proxy: Maintains network rules on nodes, acting as the network proxy. - Container Runtime: Executes containers, handling container execution on nodes. 🔹 𝐀𝐝𝐝-𝐨𝐧 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - CNI Plugin (Container Network Interface): Provides container networking, managing network connections for containers. - CoreDNS: Acts as the DNS server within the cluster, facilitating service discovery. - Metrics Server: Collects and stores resource usage data, enabling performance monitoring. - Web UI (Kubernetes Dashboard): Offers a user-friendly web-based interface for managing the cluster, enhancing user experience and accessibility. Understanding these components is crucial for effectively managing and optimizing your Kubernetes environment. Post Credit -: Omkar Srivastava #kubernetes #devops #devopsengineer

𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐭𝐢𝐨𝐧 🔹 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐏𝐥𝐚𝐧𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - kube-apiserver: Acts as the front-end for the control plane, managing the API. - etcd: Stores all cluster data, serving as the data storage component. - kube-scheduler: Decides where to run unscheduled Pods, allocating workloads efficiently. - kube-controller-manager: Ensures the actual state matches the desired state, monitoring and recovering the system's state. - cloud-controller-manager: Manages interaction between the cluster and the underlying cloud provider, facilitating cloud integration. 🔹 𝐖𝐨𝐫𝐤𝐞𝐫 𝐍𝐨𝐝𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - kubelet: Responsible for node management, ensuring containers run smoothly within Pods. - kube-proxy: Maintains network rules on nodes, acting as the network proxy. - Container Runtime: Executes containers, handling container execution on nodes. 🔹 𝐀𝐝𝐝-𝐨𝐧 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - CNI Plugin (Container Network Interface): Provides container networking, managing network connections for containers. - CoreDNS: Acts as the DNS server within the cluster, facilitating service discovery. - Metrics Server: Collects and stores resource usage data, enabling performance monitoring. - Web UI (Kubernetes Dashboard): Offers a user-friendly web-based interface for managing the cluster, enhancing user experience and accessibility. Understanding these components is crucial for effectively managing and optimizing your Kubernetes environment. Post Credit -: Omkar Srivastava #kubernetes #devops #devopsengineer

𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐭𝐢𝐨𝐧 🔹 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐏𝐥𝐚𝐧𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - kube-apiserver: Acts as the front-end for the control plane, managing the API. - etcd: Stores all cluster data, serving as the data storage component. - kube-scheduler: Decides where to run unscheduled Pods, allocating workloads efficiently. - kube-controller-manager: Ensures the actual state matches the desired state, monitoring and recovering the system's state. - cloud-controller-manager: Manages interaction between the cluster and the underlying cloud provider, facilitating cloud integration. 🔹 𝐖𝐨𝐫𝐤𝐞𝐫 𝐍𝐨𝐝𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - kubelet: Responsible for node management, ensuring containers run smoothly within Pods. - kube-proxy: Maintains network rules on nodes, acting as the network proxy. - Container Runtime: Executes containers, handling container execution on nodes. 🔹 𝐀𝐝𝐝-𝐨𝐧 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - CNI Plugin (Container Network Interface): Provides container networking, managing network connections for containers. - CoreDNS: Acts as the DNS server within the cluster, facilitating service discovery. - Metrics Server: Collects and stores resource usage data, enabling performance monitoring. - Web UI (Kubernetes Dashboard): Offers a user-friendly web-based interface for managing the cluster, enhancing user experience and accessibility. Understanding these components is crucial for effectively managing and optimizing your Kubernetes environment. Post Credit -: Omkar Srivastava #kubernetes #devops #devopsengineer

𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐭𝐢𝐨𝐧 🔹 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐏𝐥𝐚𝐧𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - kube-apiserver: Acts as the front-end for the control plane, managing the API. - etcd: Stores all cluster data, serving as the data storage component. - kube-scheduler: Decides where to run unscheduled Pods, allocating workloads efficiently. - kube-controller-manager: Ensures the actual state matches the desired state, monitoring and recovering the system's state. - cloud-controller-manager: Manages interaction between the cluster and the underlying cloud provider, facilitating cloud integration. 🔹 𝐖𝐨𝐫𝐤𝐞𝐫 𝐍𝐨𝐝𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - kubelet: Responsible for node management, ensuring containers run smoothly within Pods. - kube-proxy: Maintains network rules on nodes, acting as the network proxy. - Container Runtime: Executes containers, handling container execution on nodes. 🔹 𝐀𝐝𝐝-𝐨𝐧 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬: - CNI Plugin (Container Network Interface): Provides container networking, managing network connections for containers. - CoreDNS: Acts as the DNS server within the cluster, facilitating service discovery. - Metrics Server: Collects and stores resource usage data, enabling performance monitoring. - Web UI (Kubernetes Dashboard): Offers a user-friendly web-based interface for managing the cluster, enhancing user experience and accessibility. Understanding these components is crucial for effectively managing and optimizing your Kubernetes environment. Post Credit -: Omkar Srivastava #kubernetes #devops #devopsengineer

A new post about #Azure #DevOps variables using a template: https://lnkd.in/g5vMZDdn

SERVERLESS ARCHITECTURE Building cloud-native serverless applications requires the adoption of new technology, patterns, processes, and governance. Here is a high-level overview of the modern Serverless Function as a Service (FaaS) approach and how it relates to other architecture patterns. 💎 Serverless FaaS can be considered a unique category within a cloud service provider's PaaS offerings (not requiring any explicit provisioning of infrastructure resources), that allows developers to write discrete pieces of application logic to react to an event. 🎯 Serverless FaaS is particularly well-suited to event-driven architectures (EDAs), highly regarded as the next maturity level after microservices architecture, because of its extensibility and ability to react to events. 🛠️ When considering Serverless FaaS for applications, it's important to keep in mind their dynamic and temporary nature. Opting for this approach means that traditional debugging methods, like logging into servers, may not be applicable. It requires exploring innovative debugging techniques that are tailored to the distributed environment of FaaS applications. #Serverless #ServerlessComputing #FaaS #FunctionAsaService #CloudNative #EventDriven #NoOps #ServerlessFramework #Yallo #YalloArchitecture #YalloInsights

10 Ways Kubernetes Observability Boosts Productivity, Cuts Costs #kubernetes #observability #productivity #costoptimzation #cloudnative https://lnkd.in/eH8xR96K