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Kubernetes vs Morpheus: What are the differences?
Introduction
This markdown code provides a comparison between Kubernetes and Morpheus, highlighting six key differences between the two technologies.
Scalability: Kubernetes excels in scalability, allowing easy scaling of applications and services. It provides features such as horizontal pod autoscaling, vertical pod autoscaling, and cluster autoscaling, which automatically adjust resources based on demand. Morpheus, on the other hand, focuses on multi-cloud and hybrid cloud management, offering a centralized platform with built-in scaling capabilities.
Infrastructure Management: While both Kubernetes and Morpheus handle infrastructure management, they differ in their approaches. Kubernetes primarily focuses on container orchestration, managing clusters of containers and their resources. Morpheus, in addition to container orchestration, provides extensive infrastructure management capabilities, including VM management, bare metal provisioning, and network management.
Ease of Use: Kubernetes has a steep learning curve due to its complex architecture and extensive configuration options. It requires expertise in containerization and cluster management. In contrast, Morpheus aims to simplify infrastructure management by offering a user-friendly interface and intuitive workflows. It abstracts complexity and allows users to manage and deploy applications easily.
Multi-Cloud Support: Kubernetes primarily offers support for container orchestration in multiple cloud environments but lacks built-in multi-cloud management features. In comparison, Morpheus specializes in multi-cloud management, supporting various public and private clouds. It provides a unified control plane to manage applications seamlessly across different cloud providers.
Configuration and Deployment: Kubernetes relies on declarative configuration files, which define the desired state of the system. It follows a "desired state" approach and continuously reconciles the actual state with the desired state. Morpheus, on the other hand, provides a flexible graphical interface for configuration and deployment. It allows users to define environment variables, customize parameters, and easily deploy applications across different environments.
Security and Governance: Kubernetes offers robust security features, including role-based access control (RBAC), network policies, and secrets management. It focuses on securing containerized environments and provides fine-grained access controls. Morpheus, in addition to container security, also emphasizes overall infrastructure security. It offers features like multi-factor authentication (MFA), encryption, and compliance reporting, ensuring comprehensive security and governance.
In summary, Kubernetes is a highly scalable container orchestration platform with a focus on managing containerized environments, while Morpheus provides multi-cloud management capabilities, simplifying infrastructure management across different cloud providers. Morpheus also offers extensive infrastructure management features and an intuitive user interface to make application deployment and management easier.
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 solution164
- Simple and powerful128
- Open source106
- Backed by google76
- The right abstractions58
- Scale services25
- Replication controller20
- Permission managment11
- Supports autoscaling9
- Cheap8
- Simple8
- Self-healing6
- No cloud platform lock-in5
- Promotes modern/good infrascture practice5
- Open, powerful, stable5
- Reliable5
- Scalable4
- Quick cloud setup4
- Cloud Agnostic3
- Captain of Container Ship3
- A self healing environment with rich metadata3
- Runs on azure3
- Backed by Red Hat3
- Custom and extensibility3
- Sfg2
- Gke2
- Everything of CaaS2
- Golang2
- Easy setup2
- Expandable2
Pros of Morpheus
- Easy to deploy and use2
- Hybrid Cloud Management1
- Life cycle management1
- App provisioning1
- UI, API and CLI1
- Governance1
- SDN - ACI, NSX, Neutron1
- Config Management-Chef,Puppet,Salt,Ansible,AnsibleTower1
- Reporting1
- Analytics1
- Scheduling1
- Tagging, Env variables, cypher1
- Automation - Tasks and Workflows1
- Image builder1
- Infrastrcuture as Code1
- Platform as a Service1
- Infrastructure as Code, Platform as a Service1
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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