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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.
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.
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.
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.
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.
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.
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.
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 Google Anthos
- Operations support by Google SRE3
- Host Cloud Run (managed knative) anywhere2
- Policy enforcement via ACM1
- Automatic k8s upgrades1
- Access to Google Kubernetes Marketplace1
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
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Cons of Google Anthos
- Expensive3
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