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Jelastic vs Kubernetes: What are the differences?
Key Differences between Jelastic and Kubernetes
Jelastic and Kubernetes are two popular container orchestration platforms, but they have several key differences.
Deployment and Management: Jelastic provides a fully managed platform where users can deploy applications without worrying about the underlying infrastructure. In contrast, Kubernetes is a self-managed platform that requires users to set up and manage their own infrastructure.
Ease of Use: Jelastic aims to simplify the deployment and management process by providing a user-friendly interface and automating many tasks. On the other hand, Kubernetes has a steeper learning curve and requires a deeper understanding of containerization and infrastructure management.
Scaling: Jelastic offers automatic horizontal and vertical scaling capabilities, allowing applications to scale up or down based on demand. Kubernetes also supports scaling, but it requires manual configuration and management of scaling policies.
Platform Support: Jelastic is designed to support multi-cloud environments and can be deployed on various cloud providers. Kubernetes is also cloud-agnostic but requires additional configuration and setup to work across multiple platforms.
Pricing: Jelastic typically offers a pay-as-you-go pricing model, where users are billed based on the resources they consume. Kubernetes is an open-source platform and does not have any direct pricing, but users are responsible for the costs associated with managing their infrastructure.
Ecosystem and Community: Kubernetes has a larger and more active community compared to Jelastic. This means there is a wealth of resources, documentation, and third-party integrations available for Kubernetes. Jelastic has a smaller community, but it provides dedicated support and assistance to its users.
In summary, Jelastic offers a fully managed and user-friendly platform with automatic scaling capabilities, multi-cloud support, and a pay-as-you-go pricing model. Kubernetes, on the other hand, is a self-managed platform with a steeper learning curve, manual scaling configuration, and a larger community ecosystem.
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 Jelastic
- Automatic scaling13
- Managed hosting12
- Pay-per-Use on an hourly basis12
- Constantly evolving8
- Multiple hosting providers6
- Full automatic vertical and horizontal scaling5
- High availability5
- SSH access5
- Jenkins3
- Great support3
- Easy to use2
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 Jelastic
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
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What is Jelastic?
What is Kubernetes?
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