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Google Kubernetes Engine
Google Kubernetes Engine

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Google Kubernetes Engine vs Joyent Triton: What are the differences?

What is Google Kubernetes Engine? Deploy, manage, and scale containerized applications on Kubernetes, powered by Google Cloud. Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

What is Joyent Triton? Transform an entire data center into an easy to manage, elastic Docker host. Simple and proven. Securely deploy and operate containers with bare metal speed on container-native infrastructure, your cloud or ours.

Google Kubernetes Engine and Joyent Triton can be primarily classified as "Containers as a Service" tools.

Some of the features offered by Google Kubernetes Engine are:

  • Docker support - Improve the predictability of your deployments with Docker containers. Containers make it easy to deploy applications across environments.
  • Better ops - Give ops a better system, starting with a managed compute cluster. Container Engine takes care of provisioning and maintaining the underlying virtual machines and operational logistics like logging, monitoring, and health management.
  • Declarative management - Use declarative syntax to define your application requirements. Container Engine will actively manage your application, ensuring your containers are running and scheduling additional as needed.

On the other hand, Joyent Triton provides the following key features:

  • Bare metal performance
  • Container-native networking
  • Container-native networking
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- No public GitHub repository available -

What is Google Kubernetes Engine?

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

What is Joyent Triton?

Simple and proven. Securely deploy and operate containers with bare metal speed on container-native infrastructure, your cloud or ours.
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        What are some alternatives to Google Kubernetes Engine and Joyent Triton?
        Google App Engine
        Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
        OpenShift
        OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
        Google Compute Engine
        Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.
        Amazon EC2 Container Service
        Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.
        Amazon EKS
        Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.
        See all alternatives
        Decisions about Google Kubernetes Engine and Joyent Triton
        Russel Werner
        Russel Werner
        Lead Engineer at StackShare · | 0 upvotes · 5.4K views
        atStackShareStackShare
        Amazon EC2 Container Service
        Amazon EC2 Container Service
        CircleCI
        CircleCI
        Helm
        Helm
        Slack
        Slack
        Google Kubernetes Engine
        Google Kubernetes Engine
        Amazon EKS
        Amazon EKS
        Kubernetes
        Kubernetes
        Heroku
        Heroku

        We began our hosting journey, as many do, on Heroku because they make it easy to deploy your application and automate some of the routine tasks associated with deployments, etc. However, as our team grew and our product matured, our needs have outgrown Heroku. I will dive into the history and reasons for this in a future blog post.

        We decided to migrate our infrastructure to Kubernetes running on Amazon EKS. Although Google Kubernetes Engine has a slightly more mature Kubernetes offering and is more user-friendly; we decided to go with EKS because we already using other AWS services (including a previous migration from Heroku Postgres to AWS RDS). We are still in the process of moving our main website workloads to EKS, however we have successfully migrate all our staging and testing PR apps to run in a staging cluster. We developed a Slack chatops application (also running in the cluster) which automates all the common tasks of spinning up and managing a production-like cluster for a pull request. This allows our engineering team to iterate quickly and safely test code in a full production environment. Helm plays a central role when deploying our staging apps into the cluster. We use CircleCI to build docker containers for each PR push, which are then published to Amazon EC2 Container Service (ECR). An upgrade-operator process watches the ECR repository for new containers and then uses Helm to rollout updates to the staging environments. All this happens automatically and makes it really easy for developers to get code onto servers quickly. The immutable and isolated nature of our staging environments means that we can do anything we want in that environment and quickly re-create or restore the environment to start over.

        The next step in our journey is to migrate our production workloads to an EKS cluster and build out the CD workflows to get our containers promoted to that cluster after our QA testing is complete in our staging environments.

        See more
        Interest over time
        Reviews of Google Kubernetes Engine and Joyent Triton
        Review ofGoogle Kubernetes EngineGoogle Kubernetes Engine

        Since it is mostly backed by Kubernetes, GCE looks really promising. I did run into some fuzzy bugs as I did expect with Alpha.

        I recommend giving it a lab-test-try and engage in discussion about Kubernetes.

        How developers use Google Kubernetes Engine and Joyent Triton
        Avatar of papaver
        papaver uses Google Kubernetes EngineGoogle Kubernetes Engine

        used this when setting up the kubernetes infrastructure for a client.

        Avatar of Japan Digital Design
        Japan Digital Design uses Google Kubernetes EngineGoogle Kubernetes Engine

        Our developer experience system is on Google Kubernetes Engine.

        How much does Google Kubernetes Engine cost?
        How much does Joyent Triton cost?
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