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Ansible vs Kubernetes: What are the differences?
Key Differences between Ansible and Kubernetes
Ansible and Kubernetes are both popular tools in the DevOps world. While they can both be used to manage IT infrastructure, they have significant differences in terms of their approach and functionality.
Configuration Management vs Container Orchestration: Ansible is primarily a configuration management tool that focuses on automating the setup and maintenance of IT infrastructure. It uses declarative YAML files to define the desired state of the infrastructure and executes tasks on remote hosts to achieve that state. On the other hand, Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications. It focuses on managing containers and their associated resources in a scalable and efficient manner.
Agentless vs Agent-based Architecture: Ansible follows an agentless architecture, which means it doesn't require any software to be installed on the target hosts. It uses SSH or WinRM protocols to connect to remote machines and execute tasks. In contrast, Kubernetes follows an agent-based architecture where the Kubernetes agent, known as kubelet, needs to be installed on each host in the cluster. The kubelet communicates with the Kubernetes master to manage containerized applications.
Procedural vs Declarative Approach: Ansible employs a procedural approach where tasks are executed in a predefined sequence. Playbooks are written in a procedural manner, specifying detailed steps to achieve a desired state. Kubernetes, on the other hand, follows a declarative approach. Desired state is defined in YAML manifests, and Kubernetes then ensures that the actual state matches the desired state, taking care of the necessary actions automatically.
Infrastructure vs Application-centric focus: Ansible is primarily focused on managing infrastructure components such as servers, networks, and storage. It can be used to automate tasks like provisioning servers, configuring networking, and managing software installations. Kubernetes, on the other hand, is more application-centric and focuses on managing containerized applications. It provides features like service discovery, load balancing, and automatic scaling to ensure efficient running of applications.
Multi-node Orchestration vs Single-node Orchestration: Ansible excels at orchestrating tasks across multiple nodes in a distributed environment. It can execute tasks simultaneously on multiple hosts, coordinating their actions. In contrast, Kubernetes is primarily designed for orchestrating containerized applications within a single cluster of nodes. It manages the lifecycle of containers, scheduling them on appropriate nodes and ensuring their high availability.
Community vs Vendor Support: Ansible is an open-source tool with a large and active community. It has a wide range of community-contributed modules and roles, providing extensive support for various infrastructure components and services. Kubernetes, although open-source, is backed by major vendors like Google, Microsoft, and Red Hat. It has a strong backing and a rich ecosystem of tools and extensions provided by these vendors.
In summary, Ansible is a configuration management tool with an agentless and procedural approach, primarily focused on managing IT infrastructure, while Kubernetes is a container orchestration platform with an agent-based and declarative approach, primarily focused on managing containerized applications within a single cluster.
Hello, we have a bunch of local hosts (Linux and Windows) where Docker containers are running with bamboo agents on them. Currently, each container is installed as a system service. Each host is set up manually. I want to improve the system by adding some sort of orchestration software that should install, update and check for consistency in my docker containers. I don't need any clouds, all hosts are local. I'd prefer simple solutions. What orchestration system should I choose?
If you just want the basic orchestration between a set of defined hosts, go with Docker Swarm. If you want more advanced orchestration + flexibility in terms of resource management and load balancing go with Kubernetes. In both cases, you can make it even more complex while making the whole architecture more understandable and replicable by using Terraform.
I'm just getting started using Vagrant to help automate setting up local VMs to set up a Kubernetes cluster (development and experimentation only). (Yes, I do know about minikube)
I'm looking for a tool to help install software packages, setup users, etc..., on these VMs. I'm also fairly new to Ansible, Chef, and Puppet. What's a good one to start with to learn? I might decide to try all 3 at some point for my own curiosity.
The most important factors for me are simplicity, ease of use, shortest learning curve.
I have been working with Puppet and Ansible. The reason why I prefer ansible is the distribution of it. Ansible is more lightweight and therefore more popular. This leads to situations, where you can get fully packaged applications for ansible (e.g. confluent) supported by the vendor, but only incomplete packages for Puppet.
The only advantage I would see with Puppet if someone wants to use Foreman. This is still better supported with Puppet.
If you are just starting out, might as well learn Kubernetes There's a lot of tools that come with Kube that make it easier to use and most importantly: you become cloud-agnostic. We use Ansible because it's a lot simpler than Chef or Puppet and if you use Docker Compose for your deployments you can re-use them with Kubernetes later when you migrate
We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.
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 Ansible
- Agentless284
- Great configuration210
- Simple199
- Powerful176
- Easy to learn155
- Flexible69
- Doesn't get in the way of getting s--- done55
- Makes sense35
- Super efficient and flexible30
- Powerful27
- Dynamic Inventory11
- Backed by Red Hat9
- Works with AWS7
- Cloud Oriented6
- Easy to maintain6
- Vagrant provisioner4
- Simple and powerful4
- Multi language4
- Simple4
- Because SSH4
- Procedural or declarative, or both4
- Easy4
- Consistency3
- Well-documented2
- Masterless2
- Debugging is simple2
- Merge hash to get final configuration similar to hiera2
- Fast as hell2
- Manage any OS1
- Work on windows, but difficult to manage1
- Certified Content1
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
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Cons of Ansible
- Dangerous8
- Hard to install5
- Doesn't Run on Windows3
- Bloated3
- Backward compatibility3
- No immutable infrastructure2
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