Kubernetes vs Morpheus

Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Morpheus

Stacks31

Followers66

Votes18

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.

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Advice on Kubernetes, Morpheus

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

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Markdown

Our whole DevOps stack consists of the following tools:

@{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
Respectively @{Git}|tool:1046| as revision control system
@{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
@{Visual Studio Code}|tool:4202| as IDE
@{CircleCI}|tool:190| for continuous integration (automatize development process)
@{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
@{SonarQube}|tool:2638| as quality gate
@{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
@{VirtualBox}|tool:774| for operating system simulation tests
@{Kubernetes}|tool:1885| as cluster management for docker containers
@{Heroku}|tool:133| for deploying in test environments
@{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
@{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
@{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
@{PostgreSQL}|tool:1028| as preferred database system
@{Redis}|tool:1031| 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.

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Detailed Comparison

Kubernetes	Morpheus
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.	Morpheus is a cloud application management and orchestration platform that works on any cloud or infrastructure, from AWS to bare metal. Enjoy complete cloud freedom with Morpheus.
Lightweight, simple and accessible;Built for a multi-cloud world, public, private or hybrid;Highly modular, designed so that all of its components are easily swappable	Provisioning - Intuitive UI lets you provision databases, apps, and app stack components on any server or cloud — on-premise, private, public, or hybrid — within seconds. Provisioning is performed asynchronously, allowing multiple IT systems to be provisioned simultaneously.; Rapid Implementation - The future is fast. That’s why a typical Morpheus installation takes just 60 minutes and requires minimal IT support. Saving you time and money, so you can focus on what truly matters to your organization.; Elastic Scaling & Failover - Easily manage databases and apps by adding more nodes on the web UI, CLI, or through an API call. Morpheus automatically configures the database or app cluster to accommodate these new nodes.; Logging & Monitoring - Morpheus automatically collects system, database, and application logs for all provisioned IT systems. These logs are used for faster introspection and troubleshooting. Additionally, each new provisioned system is set up automatically for uptime monitoring. Users are pro-actively alerted about performance and uptime issues.; Access & Role Management - Define different roles and access for individual users. Admins can delegate responsibility and access to different teams and individuals for specific geographic zones, server groups, individual apps, or databases.; CLI & Open API's - Open REST API's enable integration with heterogeneous systems. Advanced developers can utilize the standards-based Command Line Interface (CLI).; Backup & Recovery - Automatic backups are set up and performed on each new database or app stack component. Users have the flexibility to edit the day, time, and frequency of the backups. Admins can define the destination targets where backups are stored (either local storage or cloud), eliminating the need for writing custom cron jobs.;
Statistics
Stacks 61.2K	Stacks 31
Followers 52.8K	Followers 66
Votes 685	Votes 18
Pros & Cons
Pros 166 Leading docker container management solution 130 Simple and powerful 108 Open source 76 Backed by google 58 The right abstractions Cons 16 Steep learning curve 15 Poor workflow for development 8 Orchestrates only infrastructure 4 High resource requirements for on-prem clusters 2 Too heavy for simple systems	Pros 2 Easy to deploy and use 1 Infrastructure as Code, Platform as a Service 1 Life cycle management 1 Hybrid Cloud Management 1 App provisioning
Integrations
Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine	DigitalOcean Google Compute Engine OpenStack Amazon EC2 SoftLayer Microsoft Azure

What are some alternatives to Kubernetes, Morpheus?

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

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