You Code. We Deploy.

You Code. We Deploy.

You Code. We Deploy.

#InfrastructureMadeSimple

Smart one-click deploys for any
tech stack

AI powered

Instant Deployments

Preview Links

Logging and Analytics

ToyStack helps you avoid spending weeks setting up CI/CD, security and servers.

With our AI powered code vulnerability checks, log parsing, automated database seeding and ephemeral preview environments, it is a complete DevOps toolchain that lets your focus on the product and not on the infrastructure.

#InfrastructureMadeSimple

Smart one-click deploys for any
tech stack

AI powered

Instant Deployments

Preview Links

Logging and Analytics

ToyStack helps you avoid spending weeks setting up CI/CD, security and servers.

With our AI powered code vulnerability checks, log parsing, automated database seeding and ephemeral preview environments, it is a complete DevOps toolchain that lets your focus on the product and not on the infrastructure.

#InfrastructureMadeSimple

Smart one-click deploys for any
tech stack

AI powered

Instant Deployments

Preview Links

Logging and Analytics

ToyStack helps you avoid spending weeks setting up CI/CD, security and servers.

With our AI powered code vulnerability checks, log parsing, automated database seeding and ephemeral preview environments, it is a complete DevOps toolchain that lets your focus on the product and not on the infrastructure.

#InfrastructureMadeSimple

Smart one-click deploys for any tech-stack

AI powered

Instant Deployments

Preview Links

Logging and Analytics

ToyStack helps you avoid spending weeks setting up CI/CD, security and servers.

With our AI powered code vulnerability checks, log parsing, automated database seeding and ephemeral preview environments, it is a complete DevOps toolchain that lets your focus on the product and not on the infrastructure.

How it works

Install the Toystack App on Github

Install the Toystack App on Github

Provide environment variables that help the app run

Provide environment variables that help the app run

Get a deployment link directly on Github for testing

Get a deployment link directly on Github for testing

View analytics, logs and security reports on the Dashboard

View analytics, logs and security reports on the Dashboard

Confidently move to production

Confidently move to production

Why Toystack?

We started ToyStack because every time we started a new project we found ourselves repeating the same mundane task of setting up a deployment pipeline. We'd done it several times before but it still didn't make us faster at it.

We imagined what an opinionated, fully-automated, inexpensive deployment pipeline should be and we built it:

  1. Auto-detects the deployment commands

We needed it to be agnostic to the development framework we were using. We started analysing all the configurations and built into ToyStack a way to auto-detect, analyse, dockerize and deploy to a server.

  1. Read from Git - Check for Vulnerabilities - Build

We needed most of our code pushes to be built automatically, checked for build errors, remove any sensitive information (one of our developers pushed AWS keys into the code once), detect any security issues — and give us analytics on the entire process — time and logs

  1. Provide a working link immediately - for every environment and more

Any code push needs a test to be done. The magic moment was to get a link that people can share and test, provide feedback and go back and code some more. We didn't want to wait. We didn't want it to be limited just to production, stage and development. We wanted everything tested all the time so we can merge with confidence and ship it.

  1. Seed the database every time - with near-real data

Frontend code is fairly straightforward to test if you have a working backend. But if we're deploying backends on every code push (some with DB migrations) we will require a throwaway DB to be deployed each time. We needed this to have near real, non-sensitive, actually-working data that we can actually test with.

  1. Kill every environment after we're done - save money

Production needs to run 24x7 but the others needn't. Someone had to remember to turn off the dev and stage environments when it was a holiday or the weekend. Some sprints, we barely used them but we were charged for usage per hour. We wanted the environments to be up when we test them and then die out immediately after. Imagine a 30min or a 1 day deployment (on-demand).

  1. Take things to production scale

We wanted all of these things to run on our battle-tested kubernetes configuration. We wanted it to scale indefinitely when needed so we can be sure every deployment happened in the same infrastructure we go to a few million users with.

We're constantly working on the above tenets and trying to find solutions that work for pretty much any tech stack you have.

ToyStack aims to be a tool chain you'd use for taking a product from scratch to production, confidently and with the least DevOps effort.

Why Toystack?

We started ToyStack because every time we started a new project we found ourselves repeating the same mundane task of setting up a deployment pipeline. We'd done it several times before but it still didn't make us faster at it.

We imagined what an opinionated, fully-automated, inexpensive deployment pipeline should be and we built it:

  1. Auto-detects the deployment commands

We needed it to be agnostic to the development framework we were using. We started analysing all the configurations and built into ToyStack a way to auto-detect, analyse, dockerize and deploy to a server.

  1. Read from Git - Check for Vulnerabilities - Build

We needed most of our code pushes to be built automatically, checked for build errors, remove any sensitive information (one of our developers pushed AWS keys into the code once), detect any security issues — and give us analytics on the entire process — time and logs

  1. Provide a working link immediately - for every environment and more

Any code push needs a test to be done. The magic moment was to get a link that people can share and test, provide feedback and go back and code some more. We didn't want to wait. We didn't want it to be limited just to production, stage and development. We wanted everything tested all the time so we can merge with confidence and ship it.

  1. Seed the database every time - with near-real data

Frontend code is fairly straightforward to test if you have a working backend. But if we're deploying backends on every code push (some with DB migrations) we will require a throwaway DB to be deployed each time. We needed this to have near real, non-sensitive, actually-working data that we can actually test with.

  1. Kill every environment after we're done - save money

Production needs to run 24x7 but the others needn't. Someone had to remember to turn off the dev and stage environments when it was a holiday or the weekend. Some sprints, we barely used them but we were charged for usage per hour. We wanted the environments to be up when we test them and then die out immediately after. Imagine a 30min or a 1 day deployment (on-demand).

  1. Take things to production scale

We wanted all of these things to run on our battle-tested kubernetes configuration. We wanted it to scale indefinitely when needed so we can be sure every deployment happened in the same infrastructure we go to a few million users with.

We're constantly working on the above tenets and trying to find solutions that work for pretty much any tech stack you have.

ToyStack aims to be a tool chain you'd use for taking a product from scratch to production, confidently and with the least DevOps effort.

Why Toystack?

We started ToyStack because every time we started a new project we found ourselves repeating the same mundane task of setting up a deployment pipeline. We'd done it several times before but it still didn't make us faster at it.

We imagined what an opinionated, fully-automated, inexpensive deployment pipeline should be and we built it:

  1. Auto-detects the deployment commands

We needed it to be agnostic to the development framework we were using. We started analysing all the configurations and built into ToyStack a way to auto-detect, analyse, dockerize and deploy to a server.

  1. Read from Git - Check for Vulnerabilities - Build

We needed most of our code pushes to be built automatically, checked for build errors, remove any sensitive information (one of our developers pushed AWS keys into the code once), detect any security issues — and give us analytics on the entire process — time and logs

  1. Provide a working link immediately - for every environment and more

Any code push needs a test to be done. The magic moment was to get a link that people can share and test, provide feedback and go back and code some more. We didn't want to wait. We didn't want it to be limited just to production, stage and development. We wanted everything tested all the time so we can merge with confidence and ship it.

  1. Seed the database every time - with near-real data

Frontend code is fairly straightforward to test if you have a working backend. But if we're deploying backends on every code push (some with DB migrations) we will require a throwaway DB to be deployed each time. We needed this to have near real, non-sensitive, actually-working data that we can actually test with.

  1. Kill every environment after we're done - save money

Production needs to run 24x7 but the others needn't. Someone had to remember to turn off the dev and stage environments when it was a holiday or the weekend. Some sprints, we barely used them but we were charged for usage per hour. We wanted the environments to be up when we test them and then die out immediately after. Imagine a 30min or a 1 day deployment (on-demand).

  1. Take things to production scale

We wanted all of these things to run on our battle-tested kubernetes configuration. We wanted it to scale indefinitely when needed so we can be sure every deployment happened in the same infrastructure we go to a few million users with.

We're constantly working on the above tenets and trying to find solutions that work for pretty much any tech stack you have.

ToyStack aims to be a tool chain you'd use for taking a product from scratch to production, confidently and with the least DevOps effort.

Smart one-click deploys for any tech-stack

We started ToyStack because every time we started a new project we found ourselves repeating the same mundane task of setting up a deployment pipeline. We'd done it several times before but it still didn't make us faster at it.

We imagined what an opinionated, fully-automated, inexpensive deployment pipeline should be and we built it:

  1. Auto-detects the deployment commands

We needed it to be agnostic to the development framework we were using. We started analysing all the configurations and built into ToyStack a way to auto-detect, analyse, dockerize and deploy to a server.

  1. Read from Git - Check for Vulnerabilities - Build

We needed most of our code pushes to be built automatically, checked for build errors, remove any sensitive information (one of our developers pushed AWS keys into the code once), detect any security issues — and give us analytics on the entire process — time and logs

  1. Provide a working link immediately - for every environment and more

Any code push needs a test to be done. The magic moment was to get a link that people can share and test, provide feedback and go back and code some more. We didn't want to wait. We didn't want it to be limited just to production, stage and development. We wanted everything tested all the time so we can merge with confidence and ship it.

  1. Seed the database every time - with near-real data

Frontend code is fairly straightforward to test if you have a working backend. But if we're deploying backends on every code push (some with DB migrations) we will require a throwaway DB to be deployed each time. We needed this to have near real, non-sensitive, actually-working data that we can actually test with.

  1. Kill every environment after we're done - save money

Production needs to run 24x7 but the others needn't. Someone had to remember to turn off the dev and stage environments when it was a holiday or the weekend. Some sprints, we barely used them but we were charged for usage per hour. We wanted the environments to be up when we test them and then die out immediately after. Imagine a 30min or a 1 day deployment (on-demand).

  1. Take things to production scale

We wanted all of these things to run on our battle-tested kubernetes configuration. We wanted it to scale indefinitely when needed so we can be sure every deployment happened in the same infrastructure we go to a few million users with.

We're constantly working on the above tenets and trying to find solutions that work for pretty much any tech stack you have.

ToyStack aims to be a tool chain you'd use for taking a product from scratch to production, confidently and with the least DevOps effort.

Who is ToyStack for?

Software Services Agencies

Software Services Agencies

Early-Stage Startups

Early-Stage Startups

Hobby Projects

Hobby Projects

Start Deploying

Found what we're working on interesting? We'd love to have you try our product and simplify your DevOps needs.

Found what we're working on interesting? We'd love to have you try our product and simplify your DevOps needs.

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© 2024 ToyStack.

© 2024 ToyStack.

© 2024 ToyStack.