Private and Secure

Get isolated and single tenant hosted environment in your cloud account (AWS or GCP) with recommended configuration including Kubernetes.

Your code and data will be secure inside your account.

Productive

Deploy 12-factor based applications and supercharge your workflow using better developer tools and integrations.

Focus on your "Apps" not on "Ops". No more App-engine idiosyncrasies.

Optimized

Datacol optimizes your environment with best of community knowledge, providing seamless integration with cloud services.

It can provision and link RDS, ElasticCache, Cloudsql, Pubsub, Storage from CLI.

We will port your Heroku or App-engine applications to Datacol for free.

What we offer

Container native

Use Docker images, containers and language buildpacks out of the box. Push your code and we'll do the rest.

Optimized for GCP

We integrate cloud services (like CloudSQL, Pubsub etc.) with recommended settings. You can save upto 40% on your cloud bill.

CI/CD Support

Use developer friendly CLI to configure and manage your apps.

Productivity tools

Send notifications to productivity apps like Slack, Github and others.

Open source

Datacol source code is open-sourced at Github and open to suggestions and contributions.

Portable

While Datacol is tied with AWS or Google, your apps are still portable, and run elsewhere unlike App-engine.

How It Works

Datacol is a control layer on top of cloud(AWS/GCP), to provide Heroku like experience with power of Kubernetes under the hood.

Get started by downloading our CLI to create a stack. It will create a Kubernetes cluster and other resources in your account.

You can deploy multiple apps in cluster and share services among them. 

curl -sSL https://www.datacol.io/install | sh
datacol init
> # Initialize a new stack by name demo on Google cloud (project=gcp-demo)                                            >                                                                                                                     > datacol init --project gcp-demo --stack demo --zone us-east1-b                                                      INFO creating new stack demo                                                                                          INFO Waiting on insert [operation-1490443243984-54b8cdc1d9481-43b951b5-a6e6a79c]                                      DONE>                                                                                                                 > # Make sure the cluster is up and ruinning                                                                          > STACK=demo datacol kubectl cluster-info                                                                             Kubernetes master is running at https://35.185.64.198                                                                                                                                                                                       To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.                                      > # To start deploying your apps checkout next section.                                                               > # When you are testing and want to cleanup, run                                                                     >                                                                                                                     > STACK=demo datacol destroy                                                                                          INFO Deleting stack demo                                                                                              INFO Waiting on delete [operation-1490443844208-54b8cffe44580-f1f8a37a-30257892]                                      DONE                                                                                                                  >
00:00-00:30

Build your apps and easily deploy them to cluster. You can -

  • Create 12-factor apps with Buildpacks, Dockerfile or docker-compose.yml on Kubernetes.
  • Provision infrastructure with helm charts managed by us.
  • Link GCP services easily (like automatically setting cloud-sql proxy , service-account and many more). 
datacol apps create # create app
datacol deploy      # deploy app
datacol env set API_KEY=secret  # set env vars
> datacol env                                                                                                         API_KEY=test                                                                                                          DATABASE_URL=postgres://test.db:5432                                                                                  >                                                                                                                     > # deploy the app at port                                                                                            > datacol deploy -p 8080                                                                                              Creating tarball ...OK                                                                                                INFO Pushing code to gs://datacol/BBLRSX.tar.gz                                                                       INFO Building from gs://datacol/BBLRSX.tar.gz                                                                         INFO Logs at https://console.cloud.google.com/m/cloudstorage/b/datacol/o/log-ba94929c-2da8-4eac-977a-b883594d9662.txt INFO Waiting on build ba94929c-2da8-4eac-977a-b883594d9662                                                            INFO                                                                                                                  Build status: SUCCESS                                                                                                 Deploying build BBLRSX                                                                                                INFO Deployment                                    image="gcr.io/razorbox-demonvse/node-demo:BBLRSX"                  Deployed at port: 30275>                                                                                              > curl http://35.185.41.119:8080                                                                                      hello world!                                                                                                          > # Done :)                                                                                                           >
00:00-00:54

We will automatically setup logging, metrics and alerts to become more productive.

  • Configuring Auto scaling
  • Executing scheduled and one-off tasks
  • HTTPS/SSL certificates using ACME 
# install redis as backing service

datacol helm install stable/redis
datacol logs -t   # stream logs
datacol scale --count=3   # scale

Be part of our growing community to share knowledge. Our engineers are here to answer questions and help you set up your stack.

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