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  5. Google Anthos vs Kubernetes

Google Anthos vs Kubernetes

OverviewDecisionsComparisonAlternatives

Overview

Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685
Google Anthos
Google Anthos
Stacks54
Followers266
Votes8

Google Anthos vs Kubernetes: What are the differences?

Introduction

Google Anthos and Kubernetes are both popular platforms used for managing containerized applications, but they have some key differences that set them apart.

  1. Architecture: Kubernetes is a container orchestration platform that focuses on managing and scaling containers across a cluster of machines. On the other hand, Anthos is a hybrid and multi-cloud platform that allows you to manage and deploy applications across different cloud providers, on-premises environments, and even edge devices. It provides a consistent management experience across various environments.

  2. Vendor Lock-in: Kubernetes is an open-source platform that can be run on various cloud providers or on-premises, providing flexibility and avoiding vendor lock-in. Anthos, developed by Google, offers a consistent environment across different cloud providers, but it requires using Google Cloud as the primary management plane. This can lead to a level of vendor lock-in, as some features may only be available when using Google Cloud services.

  3. Managed Services: Kubernetes provides a self-managed environment where you have full control over the infrastructure, including setting up and managing the control plane. Anthos, on the other hand, provides managed services for the control plane, including security and observability tools, making it easier for organizations to manage and operate their applications.

  4. Multi-Cloud Capabilities: Anthos is built with multi-cloud capabilities in mind. It allows you to deploy and manage applications across multiple cloud providers, giving you the flexibility to choose the best provider for each workload. Kubernetes, although it can run on different cloud providers, doesn't offer the same level of integration and management capabilities across multiple clouds as Anthos does.

  5. Hybrid Cloud Support: Anthos supports hybrid cloud environments, enabling you to run applications both on-premises and in the cloud. By using Anthos, you can have a consistent deployment and management experience across these environments. Kubernetes, while it can be run on-premises, doesn't provide the same level of integration and management capabilities for hybrid cloud environments as Anthos does.

  6. Pricing Model: Kubernetes itself is an open-source platform, so there are no direct costs associated with using it. However, when using Anthos, you need to consider the cost of Google Cloud services as it serves as the primary management plane. Anthos has its own pricing model, which includes a base fee along with additional costs for the use of Google Cloud services.

In summary, Google Anthos and Kubernetes have some key differences. Anthos provides a hybrid and multi-cloud platform with managed services and a consistent management experience across different environments, but it comes with a level of vendor lock-in and additional costs for using Google Cloud services. Kubernetes, on the other hand, is a container orchestration platform that focuses on managing containers and provides flexibility in terms of deployment options and avoiding vendor lock-in.

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Advice on Kubernetes, Google Anthos

Simon
Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

DecidedonGitHubGitHubGitHub PagesGitHub PagesMarkdownMarkdown

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.
12.8M views12.8M
Comments

Detailed Comparison

Kubernetes
Kubernetes
Google Anthos
Google Anthos

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.

Formerly Cloud Services Platform, Anthos lets you build and manage modern hybrid applications across environments. Powered by Kubernetes and other industry-leading open-source technologies from Google.

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
Google Kubernetes Engine Support; GKE On-Prem Support; Istio on GKE Support; Anthos Config Management; Stackdriver Support; Kubernetes applications on GCP Marketplace; Serverless; API management; Continuous integration; Continuous delivery
Statistics
Stacks
61.2K
Stacks
54
Followers
52.8K
Followers
266
Votes
685
Votes
8
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
  • 3
    Operations support by Google SRE
  • 2
    Host Cloud Run (managed knative) anywhere
  • 1
    Access to Google Kubernetes Marketplace
  • 1
    Automatic k8s upgrades
  • 1
    Policy enforcement via ACM
Cons
  • 3
    Expensive
Integrations
Vagrant
Vagrant
Docker
Docker
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Google Kubernetes Engine
Google Kubernetes Engine
Google Kubernetes Engine
Google Kubernetes Engine
Elasticsearch
Elasticsearch
MongoDB
MongoDB
GitLab
GitLab
Istio
Istio
Docker
Docker
Couchbase
Couchbase
Splunk
Splunk
Neo4j
Neo4j
Stackdriver
Stackdriver

What are some alternatives to Kubernetes, Google Anthos?

Rancher

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

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

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

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

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

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.

CAST.AI

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

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

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.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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