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Conductor vs Kubernetes: What are the differences?
Conductor: A microservices orchestration engine that runs in the cloud *. Conductor is an orchestration engine that runs in the cloud; *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.
Conductor belongs to "Microservices Tools" category of the tech stack, while Kubernetes can be primarily classified under "Container Tools".
Some of the features offered by Conductor are:
- Allow creating complex process / business flows in which individual task is implemented by a microservice.
- A JSON DSL based blueprint defines the execution flow.
- Provide visibility and traceability into the these process flows.
On the other hand, Kubernetes provides the following key features:
- Lightweight, simple and accessible
- Built for a multi-cloud world, public, private or hybrid
- Highly modular, designed so that all of its components are easily swappable
Conductor and Kubernetes are both open source tools. Kubernetes with 55K GitHub stars and 19.1K forks on GitHub appears to be more popular than Conductor with 1.9K GitHub stars and 571 GitHub forks.
Decisions about Conductor and Kubernetes
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 29 upvotes · 5.2M views
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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Learn MorePros of Conductor
Pros of Kubernetes
Pros of Conductor
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Pros of Kubernetes
- Leading docker container management solution162
- Simple and powerful127
- Open source104
- Backed by google75
- The right abstractions56
- Scale services24
- Replication controller19
- Permission managment10
- Cheap7
- Supports autoscaling7
- Simple7
- Reliable4
- Self-healing4
- No cloud platform lock-in4
- Quick cloud setup3
- Open, powerful, stable3
- Scalable3
- Promotes modern/good infrascture practice3
- Captain of Container Ship2
- A self healing environment with rich metadata2
- Cloud Agnostic2
- Runs on azure2
- Backed by Red Hat2
- Custom and extensibility2
- Golang1
- Expandable1
- Gke1
- Easy setup1
- Sfg1
- Everything of CaaS1
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Cons of Conductor
Cons of Kubernetes
Cons of Conductor
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Cons of Kubernetes
- Poor workflow for development15
- Steep learning curve15
- 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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- No public GitHub repository available -
What is Conductor?
Conductor is an orchestration engine that runs in the cloud.
What is Kubernetes?
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.
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Jobs that mention Conductor and Kubernetes as a desired skillset
What companies use Conductor?
What companies use Kubernetes?
What companies use Conductor?
See which teams inside your own company are using Conductor or Kubernetes.
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What tools integrate with Conductor?
What tools integrate with Kubernetes?
What tools integrate with Conductor?
No integrations found
What tools integrate with Kubernetes?
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What are some alternatives to Conductor and Kubernetes?
Composer
It is a tool for dependency management in PHP. It allows you to declare the libraries your project depends on and it will manage (install/update) them for you.
Istio
Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.
Kong
Kong is a scalable, open source API Layer (also known as an API Gateway, or API Middleware). Kong controls layer 4 and 7 traffic and is extended through Plugins, which provide extra functionality and services beyond the core platform.
Zuul
It is the front door for all requests from devices and websites to the backend of the Netflix streaming application. As an edge service application, It is built to enable dynamic routing, monitoring, resiliency, and security. Routing is an integral part of a microservice architecture.
linkerd
linkerd is an out-of-process network stack for microservices. It functions as a transparent RPC proxy, handling everything needed to make inter-service RPC safe and sane--including load-balancing, service discovery, instrumentation, and routing.