Kubernetes vs Spring Cloud

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Kubernetes vs Spring Cloud: What are the differences?

Introduction

Kubernetes and Spring Cloud are both popular technologies used in the development and deployment of cloud-native applications. While they share some similarities, there are key differences between the two.

  1. Deployment and Orchestration: Kubernetes is primarily focused on container orchestration and provides a platform for managing and scaling containerized applications across multiple hosts. It offers features like automated deployment, scaling, and management of containers. On the other hand, Spring Cloud focuses on creating microservices and providing a framework for building distributed systems. It offers tools and libraries for service discovery, configuration management, load balancing, and more.

  2. Programming Language and Framework: Kubernetes is language and framework-agnostic, meaning it supports applications built with different programming languages and frameworks. It treats the application as a black box and focuses on managing the containerized environment. In contrast, Spring Cloud is specifically designed for applications built using the Java programming language and the Spring Framework. It provides seamless integration with Spring Boot, making it easier for Java developers to build microservices.

  3. Management Complexity: Kubernetes is known for its robust management capabilities, but it comes with a steeper learning curve. It requires a deep understanding of its concepts, architecture, and configuration options to effectively manage and operate. On the other hand, Spring Cloud provides a more developer-friendly approach to building and managing microservices. It abstracts away many of the complexities of distributed systems, allowing developers to focus on business logic rather than infrastructure management.

  4. Scaling and High Availability: Kubernetes excels in providing automatic scaling and high availability for containerized applications. It offers features like horizontal pod autoscaling and rolling deployments, which ensure that the application can handle increased traffic and maintain uptime even in the presence of failures. Spring Cloud also supports scaling and high availability, but it relies on external tools and services for achieving these capabilities, such as load balancers and circuit breakers.

  5. Ecosystem and Community Support: Kubernetes has a large and vibrant ecosystem with a wide range of third-party tools, extensions, and integrations. It benefits from a strong community support and active development, with regular updates and enhancements. Spring Cloud, while not as vast as the Kubernetes ecosystem, also has a thriving community and offers a variety of tools and libraries specifically tailored for building Java-based microservices.

  6. Vendor Lock-In: Kubernetes is an open-source project with multiple implementations and can run on various cloud platforms. This provides more flexibility and reduces the risk of vendor lock-in. Spring Cloud, on the other hand, is closely tied to the Spring ecosystem and has stronger ties to specific cloud providers, which may lead to some degree of vendor lock-in.

In summary, Kubernetes is a powerful container orchestration platform that focuses on managing containerized environments, while Spring Cloud is a framework designed for building and managing microservices using Java and the Spring Framework. Kubernetes offers robust management capabilities but comes with a steeper learning curve, while Spring Cloud provides a more developer-friendly approach. Kubernetes excels in scaling and high availability, has a larger ecosystem and community support, and offers more flexibility in terms of platform choice. Meanwhile, Spring Cloud is tailored for Java-based microservices, offers seamless integration with the Spring ecosystem, and may have a closer tie to specific cloud providers.

Advice on Kubernetes and Spring Cloud

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?

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Replies (1)
Mortie Torabi
Recommends
on
Docker SwarmDocker Swarm

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.

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Decisions about Kubernetes and Spring Cloud
Michael Roberts

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%.

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.3M 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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Pros of Kubernetes
Pros of Spring Cloud
  • 164
    Leading docker container management solution
  • 128
    Simple and powerful
  • 106
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
  • 25
    Scale services
  • 20
    Replication controller
  • 11
    Permission managment
  • 9
    Supports autoscaling
  • 8
    Cheap
  • 8
    Simple
  • 6
    Self-healing
  • 5
    No cloud platform lock-in
  • 5
    Promotes modern/good infrascture practice
  • 5
    Open, powerful, stable
  • 5
    Reliable
  • 4
    Scalable
  • 4
    Quick cloud setup
  • 3
    Cloud Agnostic
  • 3
    Captain of Container Ship
  • 3
    A self healing environment with rich metadata
  • 3
    Runs on azure
  • 3
    Backed by Red Hat
  • 3
    Custom and extensibility
  • 2
    Sfg
  • 2
    Gke
  • 2
    Everything of CaaS
  • 2
    Golang
  • 2
    Easy setup
  • 2
    Expandable
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    Cons of Kubernetes
    Cons of Spring Cloud
    • 16
      Steep learning curve
    • 15
      Poor workflow for development
    • 8
      Orchestrates only infrastructure
    • 4
      High resource requirements for on-prem clusters
    • 2
      Too heavy for simple systems
    • 1
      Additional vendor lock-in (Docker)
    • 1
      More moving parts to secure
    • 1
      Additional Technology Overhead
      Be the first to leave a con

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      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.

      What is Spring Cloud?

      It provides tools for developers to quickly build some of the common patterns in distributed systems.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Kubernetes?
      What companies use Spring Cloud?
      See which teams inside your own company are using Kubernetes or Spring Cloud.
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      What tools integrate with Kubernetes?
      What tools integrate with Spring Cloud?

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      What are some alternatives to Kubernetes and Spring Cloud?
      Docker Swarm
      Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.
      Nomad
      Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.
      OpenStack
      OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.
      Rancher
      Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.
      Docker Compose
      With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.
      See all alternatives