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DevSpace
DevSpace

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Helm
Helm

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What is DevSpace?

DevSpace is a desktop app that helps you stay up to date with what’s happening on GitHub in real time.

What is Helm?

Helm is the best way to find, share, and use software built for Kubernetes.
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Why do developers choose DevSpace?
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        What companies use DevSpace?
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        What tools integrate with DevSpace?
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        What are some alternatives to DevSpace and Helm?
        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.
        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.
        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 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.
        Docker Machine
        Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them.
        See all alternatives
        Decisions about DevSpace and Helm
        Emanuel Evans
        Emanuel Evans
        Senior Architect at Rainforest QA · | 12 upvotes · 280K views
        atRainforest QARainforest QA
        Heroku
        Heroku
        Kubernetes
        Kubernetes
        Google Kubernetes Engine
        Google Kubernetes Engine
        Google Cloud SQL for PostgreSQL
        Google Cloud SQL for PostgreSQL
        PostgreSQL
        PostgreSQL
        Google Cloud Memorystore
        Google Cloud Memorystore
        Redis
        Redis
        CircleCI
        CircleCI
        Google Cloud Build
        Google Cloud Build
        Helm
        Helm
        Terraform
        Terraform

        We recently moved our main applications from Heroku to Kubernetes . The 3 main driving factors behind the switch were scalability (database size limits), security (the inability to set up PostgreSQL instances in private networks), and costs (GCP is cheaper for raw computing resources).

        We prefer using managed services, so we are using Google Kubernetes Engine with Google Cloud SQL for PostgreSQL for our PostgreSQL databases and Google Cloud Memorystore for Redis . For our CI/CD pipeline, we are using CircleCI and Google Cloud Build to deploy applications managed with Helm . The new infrastructure is managed with Terraform .

        Read the blog post to go more in depth.

        See more
        Ido Shamun
        Ido Shamun
        at The Elegant Monkeys · | 6 upvotes · 147K views
        atDailyDaily
        Kubernetes
        Kubernetes
        GitHub
        GitHub
        CircleCI
        CircleCI
        Docker
        Docker
        Helm
        Helm

        Kubernetes powers our #backend services as it is very easy in terms of #devops (the managed version). We deploy everything using @helm charts as it provides us to manage deployments the same way we manage our code on GitHub . On every commit a CircleCI job is triggered to run the tests, build Docker images and deploy them to the registry. Finally on every master commit CircleCI also deploys the relevant service using Helm chart to our Kubernetes cluster

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        Russel Werner
        Russel Werner
        Lead Engineer at StackShare · | 0 upvotes · 11.7K views
        atStackShareStackShare
        Heroku
        Heroku
        Kubernetes
        Kubernetes
        Amazon EKS
        Amazon EKS
        Google Kubernetes Engine
        Google Kubernetes Engine
        Slack
        Slack
        Helm
        Helm
        CircleCI
        CircleCI
        Amazon EC2 Container Service
        Amazon EC2 Container Service

        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.

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        Robert Zuber
        Robert Zuber
        CTO at CircleCI · | 6 upvotes · 69.1K views
        atCircleCICircleCI
        Docker
        Docker
        Kubernetes
        Kubernetes
        Nomad
        Nomad
        Helm
        Helm

        Our backend consists of two major pools of machines. One pool hosts the systems that run our site, manage jobs, and send notifications. These services are deployed within Docker containers orchestrated in Kubernetes. Due to Kubernetes’ ecosystem and toolchain, it was an obvious choice for our fairly statically-defined processes: the rate of change of job types or how many we may need in our internal stack is relatively low.

        The other pool of machines is for running our users’ jobs. Because we cannot dynamically predict demand, what types of jobs our users need to have run, nor the resources required for each of those jobs, we found that Nomad excelled over Kubernetes in this area.

        We’re also using Helm to make it easier to deploy new services into Kubernetes. We create a chart (i.e. package) for each service. This lets us easily roll back new software and gives us an audit trail of what was installed or upgraded.

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