Basics of Kubernetes
Kubernetes is a portable, extensible, open-source platform for container orchestration. It allows developers and engineers to manage containerized workloads and services through both declarative configuration and automation.
Basic benefits of Kubernetes include:
- Run distributed systems resiliently
- Automatically mount a storage system
- Automated rollouts and rollbacks
- Self-healing
- Secret and configuration management
Key Terms
API Server: Exposes the underlying Kubernetes API. This is how various management tools interact with the Kubernetes cluster
Controller Manager: Watches the state of the cluster through API server and when necessary makes changes attempting to move the current state towards the desired state.
Etcd: Highly available key value store which maintains the Kubernetes cluster state.
Scheduler: Schedules unassigned pods to nodes. Determines the most optimal node to run your pod
Node: A physical or virtual machine which is where Kubernetes runs your containers.
Kube-proxy: A network proxy that proxies requests to Kubernetes services and their backend pods
Pods: One or more containers logically grouped together. Usually they need to share the same resources.
Kublet: Agent that processes orchestration requests and handles starting pods that have been assigned to its node by the scheduler
Basics of Azure Kubernetes Services
Basics of Azure Kubernetes Services
Azure Kubernetes Service (AKS) is a fully-managed service that allows you to run Kubernetes in Azure without having to manage your own Kubernetes clusters. Azure manages all the complex parts of running Kubernetes, and you can focus on your containers. Basic features include:
- Pay only for the nodes (VMs)
- Easier cluster upgrades
- Integrated with various Azure and OSS tools and services
- Kubernetes RBAC and Azure Active Directory Integration
- Enforce rules defined in Azure Policy across multiple clusters
- Kubernetes can scale your Nodes using cluster autoscaler
- Expand your scale even greater by scheduling your containers on Azure Container Instances.
USE CASES OF AKS
- Easily migrating existing applications to Kubernetes
- Simplifying the deployment and management of microservices-based applications
- Easily integrated DevSecOps
- IoT device deployment and management on demand
- Machine Learning model training with AKS
- AKS is also ideal for simplifying the deployment and management of applications based on microservices. The streamlined horizontal scaling, secret management, self-healing, and load balancing by AKS provide the necessary support.
WhiteSource Case Study On AKS!
WhiteSource simplifies open-source usage management for security and compliance professionals worldwide. Now the WhiteSource solution can meet the needs of even more companies, thanks to a re-engineering effort that incorporated Azure Kubernetes Service (AKS).
AKS manages a hosted Kubernetes environment, making it quick and easy to deploy and manage containerized applications — without container orchestration expertise. It also eliminates the burden of ongoing operations and maintenance by provisioning, upgrading, and scaling resources on demand, without taking the application offline. AKS also supported a cloud-agnostic solution that could run the WhiteSource application on multiple clouds.
