AWS OpsWorks vs Kubernetes

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AWS OpsWorks

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Kubernetes

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AWS OpsWorks vs Kubernetes: What are the differences?

Introduction

This markdown code provides a comparison between AWS OpsWorks and Kubernetes, highlighting their key differences.

  1. Managed Service vs. Open Source Platform: AWS OpsWorks is a fully managed service provided by Amazon Web Services (AWS), while Kubernetes is an open source container orchestration platform. OpsWorks abstracts away many of the tasks involved in managing infrastructure and applications, making it easier to set up and deploy applications. On the other hand, Kubernetes provides a more customizable and flexible solution, allowing users to deploy and manage containers across different environments.

  2. Infrastructure Setup: With OpsWorks, the infrastructure setup is simplified as it uses pre-configured stacks and layers. Users can choose from multiple stack configurations and set up instances with predefined roles. In contrast, Kubernetes requires manual setup of the infrastructure, including the configuration of nodes, networking, and storage.

  3. Container Orchestration: Kubernetes excels in container orchestration capabilities. It provides advanced features for managing containers, scaling applications, and distributing workloads across a cluster of nodes. OpsWorks, on the other hand, focuses more on managing the overall infrastructure and automating application deployment and configuration.

  4. Integrated Services: OpsWorks integrates well with other AWS services, such as Elastic Load Balancing, Amazon RDS, and Amazon S3. This allows users to leverage additional AWS features when building their applications. Kubernetes also offers integrations with various services, but the configurations need to be set up manually.

  5. Scaling and Auto-Healing: Kubernetes provides built-in functionality for scaling and auto-healing applications. It can automatically adjust the number of replicas based on load or predefined rules. It also has advanced capabilities to detect and recover from failures. OpsWorks also supports auto-scaling and auto-healing, but it requires more manual configuration compared to Kubernetes.

  6. Community Support and Ecosystem: Kubernetes has a large and active community, which contributes to its rapid development and innovation. It has a rich ecosystem of tools, plugins, and integrations that enhance its functionality. OpsWorks, being an AWS managed service, has limited community support and a narrower ecosystem compared to Kubernetes.

In summary, AWS OpsWorks is a managed service that simplifies infrastructure management and application deployment, while Kubernetes is an open source container orchestration platform that provides more customization and advanced container management capabilities.

Decisions about AWS OpsWorks and Kubernetes
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 · 8.9M 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 AWS OpsWorks
Pros of Kubernetes
  • 32
    Devops
  • 19
    Cloud management
  • 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 AWS OpsWorks
Cons of Kubernetes
    Be the first to leave a con
    • 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

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    What is AWS OpsWorks?

    Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

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

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    What are some alternatives to AWS OpsWorks and Kubernetes?
    Chef
    Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.
    AWS Elastic Beanstalk
    Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
    AWS Config
    AWS Config is a fully managed service that provides you with an AWS resource inventory, configuration history, and configuration change notifications to enable security and governance. With AWS Config you can discover existing AWS resources, export a complete inventory of your AWS resources with all configuration details, and determine how a resource was configured at any point in time. These capabilities enable compliance auditing, security analysis, resource change tracking, and troubleshooting.
    AWS CloudFormation
    You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.
    AWS CodeDeploy
    AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.
    See all alternatives