Railway Hosting
The best platform offering highly redundant infrastructure all over the world, top tier SLAs, at the most competitive prices. You don't need heavy, complicated, and expensive hyperscalers to run your technology operations.
Full-Stack Automation Solutions
We work in every layer of the stack and provide battle-tested solutions. While we do build bespoke solutions for customers, we also have a standard set of implementations which are constantly iterated and improved upon.
Everything we do follows the principles of cloud native, resilient, scalable, secure, and automated distributed systems and cloud computing.
All solutions delivered will be provided as code to your repositories to own and thoroughly documented. We will provide tools and pre-built images for you to use or fork or build something bespoke.
The base of our implementations is a robust set of pipelines and scripts for the delivery of changes (pushes/releases) in a canonical way. The platform and software of choice may be different based upon your needs but the underlying system is the same.
Our platforms of choice are AWS and Railway.
Containerization
Modernizing your software release and development operations with Docker containers and setting up cloud native deployments. Kubernetes, Amazon Elastic Container Service, Swarm, Railway and all of the tools of the trade.
Instrumentation and Observability
Extracting the most valuable metrics of your systems to bubble up the health and status. Identify bugs and weak points in your architecture, measure performance and latency, improve daily operations.
Agentic AI
Building custom tools and integrations to embed AI frameworks and automation into your organization.
Continuous Integration and Deployment (CI/CD)
Setting up streamlined development operations giving your developers a delightful and frictionless experience with modern tooling around automated testing, integration, build, and release.
Infrastructure-as-Code
Developing infrastructure-as-code templatates to codify and streamline operations of your cloud infrastructure. Pairs with pipeline automation for scripted release of infrastructure changes and simpler cross-team collaboration. Terraform (OpenTofu), CDK, Pulumi, native Cloudformation, etc are all in the scope of development.
GitOps
Establishing GitOps push based automation is a step above traditional CI/CD. You define a declarative "state" in version control and GitOps operators (such as FluxCD) will pull changes in and conform to it. Changes and deviations are reverted and alerted upon.
Migrations
Moving between cloud environments is complex and risky without proper planning. Having the assistance of people who have experienced these cutovers - and all of the challenges that came with them - can be beneficial in reducing that risk.
Serverless and Lambda
Services on AWS such as Lambda, SQS, DynamoDB, S3, etc can be glued together to make extremely low cost solutions. Thinking outside the box and retooling your software to fit this model can save on operating expenses so you can reinvest into your business instead of costly cloud infrastructure.
Landing Zones
Baseline AWS security operations starts with a properly scaffolded AWS deployment using AWS Organizations. Isolation between accounts and workloads is a must to ensure users have the least amount of privilege to prevent accidental misconfiguration, breakage, and data access. Additionally, per account breakdown in conjunction with resource tagging provides granular reporting of cost data to closely monitor consumption costs.
Networking
Nothing deploys on AWS without a network established. Many organizations need a well-thought approach to designing a network and certain topologies work better for others. Most organizations at least a hub and spoke in order to maintain a single entry management layer (centralized CI/CD, client VPNs, bastion hosts, etc). Chokepoints prevent unintended access to your systems and data.
Security Operations
Security on AWS is tricky. All the AWS services emit logs and metrics but services and other platforms need different strategies to extract it; it can be hard to sift through to capture relevant events. Most Security Incident Event Management (SIEM) systems comprise of logs from all of the organization's technology landscane and typically need a data extraction, ETL, and warehousing process. Operationalizing around this is a skillset on it's own.
