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Kubernetes

Kubernetes

In the modern business landscape, data has become the lifeblood of enterprises. Data drives everything, from decision-making to product development, and companies that can harness data effectively can gain a significant competitive edge over their rivals. However, with data being generated from a multitude of sources and in various formats, data management has become a major challenge for businesses. This is where data orchestration comes into play.

Kubernetes (also known as K8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Kubernetes is designed to manage and coordinate the deployment of containerized applications across a distributed network of nodes. It provides a flexible and scalable platform for managing containerized workloads and services, allowing developers to focus on writing code and building applications without having to worry about the underlying infrastructure.

Key Features

Container Orchestration

Kubernetes provides a declarative way to manage containerized applications, allowing developers to easily scale their applications up or down as needed.

Automatic Load Balancing

Kubernetes automatically balances traffic between containers, ensuring that each container gets its fair share of traffic.

Self-Healing

Kubernetes can detect and replace containers that fail, ensuring that the application remains available and running smoothly.

Scalability

Kubernetes can scale applications up or down automatically based on demand.

Portable

Kubernetes is cloud-agnostic, which means that applications can be deployed and managed in any cloud environment or on-premises.

Automated Rollouts and Rollbacks

Kubernetes progressively rolls out changes to your application or its configuration, while monitoring application health to ensure it doesn’t kill all your instances at the same time.

Get Started with RAID Incorporated

Kubernetes clusters by RAID Inc. are used by organizations of all sizes to deploy and manage containerized applications in production environments. These production-grade clusters help improve application reliability, scalability, and performance while reducing operational overhead and costs.

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