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Kubernetes vs Nomad: What are the differences?
Introduction
Kubernetes and Nomad are both container orchestration platforms that help manage and deploy applications in a distributed environment. While they share some similarities, there are key differences between the two.
Architecture: Kubernetes follows a master-worker architecture, where there is a central master node that manages the deployment and scaling of containers across worker nodes. In contrast, Nomad adopts a server-client architecture, where both the server and client nodes can perform scheduling and orchestration tasks. This architecture flexibility allows for easier scaling and resource allocation in Nomad.
Scalability: Kubernetes is known to handle larger-scale deployments, supporting thousands of nodes and tens of thousands of containers. It provides more advanced scaling features like horizontal pod autoscaling, allowing applications to automatically scale based on demand. On the other hand, Nomad is designed to be lightweight and optimized for smaller-scale deployments, making it easier to run on resource-constrained environments such as edge devices or small clusters.
Ease of Use: Kubernetes has a steeper learning curve compared to Nomad. It offers a rich set of features and configurations, which can be overwhelming for beginners. Nomad, on the other hand, prioritizes simplicity and ease of use. It provides a simpler interface and requires less configuration, making it more accessible for developers who want to quickly get started with container orchestration.
Community and Ecosystem: Kubernetes has a larger and more mature community and ecosystem compared to Nomad. It has a wide range of tools, plugins, and documentation available, making it easier to find resources and get support. Nomad, although growing, has a smaller community, resulting in a more limited selection of tools and plugins. This can impact the availability of integrations and add-ons for specific use cases.
Service Discovery and Networking: Kubernetes has built-in service discovery and networking capabilities through its DNS-based service discovery and networking model. It automatically assigns unique network addresses to services and provides load balancing between them. Nomad, on the other hand, does not provide native service discovery and networking features. It relies on external tools for addressing and load balancing, which allows for more flexibility and choice but requires additional setup and configuration.
Use Cases: Kubernetes is well-suited for complex, large-scale deployments in production environments. It provides extensive features for managing stateful applications, service mesh deployments, and multi-cloud setups. Nomad, on the other hand, is a good choice for simpler deployments or when resource efficiency and lightweightness are prioritized. It is often used for edge computing, development environments, or scenarios where simplicity and ease of use are important.
In Summary, Kubernetes and Nomad differ in their architecture, scalability, ease of use, community/ecosystem support, service discovery/networking capabilities, and use cases. Kubernetes is more suitable for large-scale, complex deployments, while Nomad is focused on simplicity, resource efficiency, and smaller-scale setups.
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.
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%.
We collect and process trillions of data points per year, providing a suite of products for analytics and marketing to enterprise customers. As part of our journey to a cloud-native architecture, the Aislelabs engineering team adopted Hashicorp Stack including Nomad as the workload orchestration software after considering a number of solutions, including vanilla Kubernetes, Rancher, DC/OS, Mesos, Docker Swarm, and others.
Nomad provides everything needed to orchestrate all common use scenarios and is a great choice for the majority of teams. It’s great for even the smallest of the teams to mid-sized companies for what they need. Read details at https://www.aislelabs.com/blog/2020/10/26/hashicorp-nomad-workload-orchestration-at-aislelabs/
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 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
Pros of Nomad
- Built in Consul integration7
- Easy setup6
- Bult-in Vault integration4
- Built-in federation support3
- Self-healing2
- Autoscaling support2
- Bult-in Vault inegration1
- Stable1
- Simple1
- Nice ACL1
- Managable by terraform1
- Open source1
- Multiple workload support1
- Flexible1
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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
Cons of Nomad
- Easy to start with3
- HCL language for configuration, an unpopular DSL1
- Small comunity1