We create Microservice powered back-ends with GoLang, gRPC, GraphQL, Postgres, Docker, and Kubernetes.

State of the Art Backend Solutions using Microservices written in GoLang. Every project is designed for performance and security using Microservices and deployed with Docker and Kubernetes for cluster management.

If your looking to update a legacy project to the latest techinogies or start a new project your in the right place. We take care of end-to-end development and deployment for you. You get an entire development team at a fraction of the cost.

Super Fast

With Go's concurreny compiled binary coupled with gRPC (Protocol Buffers 3) to cut bandwidth usage you gain excellent performance.


With each Microservice in thier own container and using Configured pods for cluster and load balancing, You can scale up or down on demand.

Save Money

We are able to provide and incrediably low price per project due to the fact that we use proven core microservice as a starting point.

Be Happy

We've got your back. Let us delpoy and maintain your project while you focus on other areas of your business that are more important.

Technologies We Use

Flux Protocol Blockchain

Flux is the trustless data layer for web3. Flux is a cross-chain oracle that provides smart contracts with access to economically secure data feeds on anything. Connect with high quality data providers utilizing Flux's First Party Oracle. Fetch data directly from trusted data sources like Coinbase directly on-chain to your protocol. Flux’s Economically Secured Oracle enables protocols to request crowdsourced, API, and Price Feed Data from any on or off-chain source. Flux is partnered with top validator companies across crypto like Figment.


A Compiled language which are known for their speed, as they’re converted directly into machine-level code that can be read directly by the computer. Built-In Garbage collection with average latencies below 1ms. Go’s garbage collector achieves this by running concurrently with the program and by using a tricolor mark-and-sweep algorithm. Excellent Scalability with Built-in concurrency it gives the ability to program and structure your programs in a synchronous manner but actually it’s asynchronus. Channels hide that complexity and lets you structure your programs in a more maintainable way.


Is a major revision of the HTTP/1/1 network protocol used by the World Wide Web since 1997. It was derived from the earlier experimental SPDY protocol, originally developed by Google and has now been in use since 2015.

  • Multiplexing — Multiple Requests per Connection
  • Prioritization — Loading Essential Resources First
  • HPACK Compression — Reducing Junk in Headers
  • ‘Server Push’ that allows the server to deliver crucial data before the browser asks for it.


gRPC (gRPC Remote Procedure Calls) is an open source remote procedure call (RPC) system initially developed at Google. It uses HTTP/2 for transport, Protocol Buffers as the interface description language, and provides features such as authentication, bidirectional streaming and flow control, blocking or nonblocking bindings, and cancellation and timeouts.

  • High performance along with Safety
  • Duplex streaming
  • Selective message compression
  • Heavily optimized
  • Connection Pool


Docker really makes it easier to create, deploy, and run applications by using containers, and containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package.

  • Continuous Deployment and Testing
  • Multi-Cloud Platforms
  • Environment Standardization and Version Control
  • Isolation
  • Security


GraphQL is a query language created by Facebook in 2012 and open-sourced in 2015. It aims to provide an alternative to traditional REST API architecture. At its core, GraphQL provides a syntax that describes how to ask for data (called a Schema). GraphQL is database agnostic and works by creating a single endpoint responsible for accepting queries, rather than relying on the REST API approach of having separate endpoints for each service.

  • Clients have the ability to dictate exactly what they need from the server
  • Receive just what you need in a predictable way.
  • More Elegant Data Retrieval
  • More Backend Stability
  • Better Query Efficiency


Interacts with several groups of containers: Kubernetes is able to manage more cluster at the same time. Provides additional services: as well as the management of containers, Kubernetes offers security, networking and storage services. Self-monitoring: Kubernetes checks constantly the health of nodes and containers.

  • Velocity: The speed at which you constantly update your application and deploy it’s new features to the users.
  • Efficiency: Just use the Hardware resources that are needed at the time. Scale up and down on demand.
  • Decoupled: Provide load balancing, naming and discovery to isolate one microservice from another.
  • Self Healing Systems: Detect when a microservice fails and auto recover to desired state.

Our Team

We also have regular professionals we contact on a per project basis using Up Work and Fiverr. This allows use to keep costs low - yet increase productivity very quickly we needed.

team 1


Houston, Texas

Founder and CEO

team 2


Houston, Texas


team 3


Lviv, Ukraine

Lead Developer

team 4


Arad, Romania

Adminstrator / DevOps

Wanna Chat?

Nlaak Studios, LLC
Houston, Texas
United States

[email protected]

Contact Now