Eureka vs Kubernetes: What are the differences?
What is Eureka? AWS Service registry for resilient mid-tier load balancing and failover. Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers.
What is Kubernetes? Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops. 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.
Eureka and Kubernetes are primarily classified as "Open Source Service Discovery" and "Container" tools respectively.
"Easy setup and integration with spring-cloud " is the primary reason why developers consider Eureka over the competitors, whereas "Leading docker container management solution" was stated as the key factor in picking Kubernetes.
Eureka and Kubernetes are both open source tools. It seems that Kubernetes with 55.1K GitHub stars and 19.1K forks on GitHub has more adoption than Eureka with 7.98K GitHub stars and 2.2K GitHub forks.
Google, Slack, and Shopify are some of the popular companies that use Kubernetes, whereas Eureka is used by Notify-e, Swingvy, and LabNetwork. Kubernetes has a broader approval, being mentioned in 1046 company stacks & 1096 developers stacks; compared to Eureka, which is listed in 7 company stacks and 14 developer stacks.
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.
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