Container is the modern day solution for developers that provides ease of use for running cloud-native applications on a physical and virtual infrastructure. With Containers, it get’s easy for dev/test and production to package the services/application and make them portable across different compute environments. With Kubernates, it gets easy to ramp up the application instances to match the spikes in demand.
However, though container runtime APIs can manage individual containers, it gets difficult to manage applications with multiple containers spanning multiple hosts. Here the containers need to be managed and connected to the outside for tasks such as scheduling, load balancing, and distribution. This is where a container orchestration tool like Kubernetes comes into its own.
What is Kubernates and how does it work?
Kubernetes is an open source system for deploying, scaling, and managing containerized applications. It schedules the containers onto a compute cluster and manages the workloads to ensure they run as the user wants.
To explain in simpler terms, developers of today are called to write applications that run across multiple operating environments (includes on-prem servers, virtualized private clouds, and public clouds such as AWS and Azure). These applications are closely tied to the underlying infrastructure. As a result, it gets costly to use other deployment models despite the potential advantages Kubernates offers. It creates a dependency in aspects of specific network architecture; cloud provider-specific constructs, proprietary orchestration techniques; and on particular back-end storage system. Though PaaS gets around these issues quickly, there are huge costs involved in imposing strict requirements in areas like programming languages and application frameworks.
Kubernetes eliminates the infrastructure lock-in by providing core capabilities for containers without imposing restrictions. It achieves this through a combination of features within the Kubernetes platform, including Pods and Services.
Benefits of using Kubernates
Let’s look at why using Kubernetes could improve the efficiency of your IT operations.
Containers allows applications to be decomposed into smaller parts, it creates room for focused teams each responsible for specific containers. It also allows you to isolate dependencies and make wider use of well-tuned, smaller components.
Alongside with containers, it requires a separate system for integrating and orchestrating these modular parts. Kubernetes achieves this in part using PodS that are collection of containers controlled as a single application. The containers is where you can share resources, such as file systems, kernel namespaces, and an IP address. By doing these line-up of processes, Kubernetes simplifies the functionality into a single container image. Pods enables services to be easily configured for discoverability, horizontal scaling, and load balancing.
Container apps are separate from their infrastructure.They become portable only when you run them on Kubernetes. When you move them from local machines to production among on-premises, hybrid, and multiple cloud environments, it maintains consistency across the environment.
Build more extensible apps
A large open-source community of developers and companies actively builds extensions and plugins that add capabilities such as security, monitoring, and management to Kubernetes. Plus, the Certified Kubernetes Conformance Program requires every Kubernetes version to support APIs that make it easier to use those community offerings.
Scale containers easily
You can define complex containerized applications, deploy them across a cluster of servers or multiple clusters with Kubernetes. Kubernetes are capable of scaling applications as per the desired state and it automatically monitors and maintains container health.
By using DevOps, you can practice in Kubernetes environments and quickly scale with enhanced security.
Deliver code faster with CI/CD
Containers provide a consistent application packaging format which eases the collaboration between development and operations teams. CI/CD can also accelerate the move from code to container and to Kubernetes cluster in minutes by automating those specific tasks.
Manage resources effectively with infrastructure as code
The Infrastructure as code establishes a level of consistency and visibility of compute resources across teams. It reduces the likelihood of human error. This practice works with the nature of Kubernetes applications powered by Helm and combining the two allows you to define apps, resources and configurations in a reliable, trackable and repeatable way.
Accelerate the feedback loop with constant monitoring
Shorten the time between bugs and fixes with a complete view of your resources, cluster, Kubernetes API, containers and code—from container health monitoring to centralised logging. That view helps you prevent resource bottlenecks, trace malicious requests and keep your Kubernetes applications healthy.
Balance speed and security with DevOps
With Kubernates, you can bring real-time observability into the DevOps workflow pf your business. You can apply the compliance checks and reconfigurations automatically to secure your Kubernetes application.
Build on the strengths of Kubernetes with Azure
Partner with Tekpros to automate provisioning, monitoring upgrading, and scaling with the fully managed Microsoft Azure Kubernetes Service (AKS). We enable you get serverless Kubernetes, overall a simpler development-to-production experience and an overall enterprise-grade security and governance.
Partner with Tekpros
Azure Kubernetes Service is a powerful service for running containers in the cloud. Best of all, you only pay for the VMs and other resources consumed, not for AKS itself, so it’s easy to try out.
Need help architecting or managing an application on Azure Kubernetes Service? Contact us or learn more about our Azure Migration Service.