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Kubernetes vs VMware vSphere: What are the differences?
Kubernetes and VMware vSphere are both popular platforms used for managing and orchestrating containerized applications and virtualized infrastructure, respectively. Let's explore the key differences between them.
Architecture: Kubernetes is a container orchestration platform that allows for the deployment, scaling, and management of containerized applications across a cluster of machines. It follows a master-worker architecture, where a cluster consists of a master node that manages the cluster state and multiple worker nodes that run the application workloads. On the other hand, VMware vSphere is a virtualization platform that enables the creation and management of virtual machines (VMs) on physical servers. It utilizes a hypervisor-based architecture, where a host hypervisor runs on the hardware and manages the virtualization of resources.
Focus: Kubernetes primarily focuses on the management of containerized applications, providing features such as service discovery, load balancing, and automatic scaling. It is widely used in cloud-native environments and supports multiple cloud providers as well as on-premises deployments. On the contrary, VMware vSphere is designed for virtualization of infrastructure and offers a wide range of features for managing VMs such as resource allocation, high availability, and live migration. It is commonly used in traditional enterprise environments and data centers.
Portability: Kubernetes promotes an application-centric approach and favors portable, cloud-agnostic deployments. Applications can be deployed and run consistently across different Kubernetes clusters, regardless of the underlying infrastructure or cloud provider. This portability allows for easier migration and avoids vendor lock-in. In contrast, VMware vSphere is tightly integrated with VMware's ecosystem and is primarily designed for on-premises deployments. While it can be used with some public cloud providers, the level of integration and portability may vary.
Containerization: Kubernetes is specifically built to manage containerized applications using container runtimes like Docker. It provides features for running and managing containers, including networking, storage, and lifecycle management. VMware vSphere, on the other hand, supports the virtualization of entire operating systems using hypervisors. It allows for the creation and management of VMs that can run various operating systems and applications, not limited to containers.
Scalability: Kubernetes is known for its ability to scale applications and handle large-scale deployments. It supports horizontal scaling, where additional instances of an application can be added or removed dynamically based on demand. Kubernetes also integrates with monitoring and auto-scaling tools to automatically adjust resources. In contrast, VMware vSphere provides vertical scaling, allowing a single VM to scale up or down in terms of resources like CPU and memory. It is more suitable for scaling individual VMs rather than the entire application.
Community and Ecosystem: Kubernetes has a vibrant and growing community with a rich ecosystem of tools and extensions. It is an open-source project supported by the Cloud Native Computing Foundation (CNCF). This community-driven development ensures continuous improvement, innovation, and collaboration. VMware vSphere, being a proprietary software, is backed by VMware and has its own ecosystem and community. However, the level of community participation and diversity of tools may not be as extensive as Kubernetes.
In summary, Kubernetes and VMware vSphere have different architectural focuses, with Kubernetes primarily targeting containerized applications and VMware vSphere focusing on virtualization of infrastructure. Kubernetes promotes portability and is designed for cloud-native environments, while VMware vSphere is geared towards on-premises deployments. Kubernetes is well-suited for large-scale deployments and offers a broader community and ecosystem support compared to VMware vSphere.
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis as preferred in-memory database/store (great for caching)
The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:
- Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
- Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
- Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
- Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
- Scalability: All-in-one framework for distributed systems.
- Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
Pros of Kubernetes
- Leading docker container management solution166
- Simple and powerful129
- Open source107
- Backed by google76
- The right abstractions58
- Scale services25
- Replication controller20
- Permission managment11
- Supports autoscaling9
- Simple8
- Cheap8
- Self-healing6
- Open, powerful, stable5
- Reliable5
- No cloud platform lock-in5
- Promotes modern/good infrascture practice5
- Scalable4
- Quick cloud setup4
- Custom and extensibility3
- Captain of Container Ship3
- Cloud Agnostic3
- Backed by Red Hat3
- Runs on azure3
- A self healing environment with rich metadata3
- Everything of CaaS2
- Gke2
- Golang2
- Easy setup2
- Expandable2
- Sfg2
Pros of VMware vSphere
- Strong host isolation8
- Industry leader6
- Great VM management (HA,FT,...)5
- Easy to use4
- Feature rich2
- Great Networking2
- Free1
- Running in background1
- Can be setup on single physical server1
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Cons of Kubernetes
- Steep learning curve16
- Poor workflow for development15
- Orchestrates only infrastructure8
- High resource requirements for on-prem clusters4
- Too heavy for simple systems2
- Additional vendor lock-in (Docker)1
- More moving parts to secure1
- Additional Technology Overhead1
Cons of VMware vSphere
- Price8