Smarter DevOps
Case Study . 2024
Unified DevOps, AI, and hosting platform that turns any codebase into a self managing, auto deploying, auto observing system.
01
The Vision
Make joining DISEEC feel like stepping into a sci-fi development environment:
— You open your terminal, run a single command, and the entire company’s stack boots itself around you
code, tools, containers, clusters, KPIs, everything.
Key components include the @diseec/sdk global CLI, a development and CI/CD automation toolkit known as Dcommand, and a Kubernetes-based hosting fabric that features smart DNS and data replication. Additionally, it offers AI-augmented project management, coding, refactoring, and infrastructure orchestration, along with native integration with DISEEC ERP for KPIs, time tracking, and reporting.
02
Development at Scale Without Developer Suffering
We needed more than just better documentation or shell scripts. We wanted an SDK that understands projects, devs, infrastructure, and business context, capable of orchestrating everything.
Laravel monorepos, Node services, Python workers, frontends, random POCs…
Multiple servers, inconsistent setups, overlapping monitoring tools, expensive waste.
We built a global DevOps CLI and automation toolkit.
Your local environment is now set up with all dependencies, including runtimes and tools. The SDK uses Docker and is project-aware, enhancing your workflow with AI support.
We unified Dev, Ops, and AI into one cohesive workflow.
Your projects now configure themselves—frameworks, services, queues, caches, permissions, all resolved automatically. The Fabric detects what a repository needs and provisions the entire stack on demand, locally or in the cloud.
Integrated AI agents watch over builds, migrations, releases, and performance trends.
We turned infrastructure into a living, self-optimizing system.
Clusters no longer wait for humans to adjust them. The Fabric scales workloads, heals containers, reroutes traffic, and replicates data across regions without manual intervention.
Deployments become atomic, observable, and reversible—guided by real-time KPIs pulled directly from DISEEC ERP.
Result: When a new engineer joins, they don’t read a wiki for 2 days. They:
1. Install the SDK
2. Clone a project
03
Technical stuff
The SDK detects the project type, whether it's Laravel, Node, Next.js, Python, or polyglot, pulls the necessary Docker images, installs local dependencies when required, and sets up the .env file from encrypted secrets. It then brings up services with development containers, databases, and caches, and opens the website or app at localhost. From there, users can:
The SDK efficiently manages monorepos, superrepos with nested services, submodules, packages, and shared libraries. It supports various language-specific toolchains, including Node, PHP, Python, and Go. Say goodbye to the "works on my machine" issue, as the environment is now standardized.
Financial Insight Copilot
The SDK efficiently
The SDK detects the project type, whether it's Laravel, Node, Next.js, Python, or polyglot, pulls the necessary Docker images, installs local dependencies when required, and sets up the .env file from encrypted secrets. It then brings up services with development containers, databases, and caches, and opens the website or app at localhost. From there, users can:
The SDK efficiently manages monorepos, superrepos with nested services, submodules, packages, and shared libraries. It supports various language-specific toolchains, including Node, PHP, Python, and Go. Say goodbye to the "works on my machine" issue, as the environment is now standardized.
04
Build Phases
Phase 1 — Internal R&D
Completed
Defined the SDK & Cloud Fabric vision and built core prototypes: the @diseec/sdk CLI, Dcommand, and the first Kubernetes-based hosting fabric.
Phase 2 — DISEEC Stack Integration
Completed
Rolling the SDK and Fabric out across DISEEC projects, standardizing local dev, CI/CD, and hosting, all wired into DISEEC ERP for KPIs and reporting.
Active
Phase 3 — Open Ecosystem & Experiments
In Progress
Opening parts of the SDK/Fabric for wider use and running experiments in self-optimizing infra, AI-driven orchestration, and multi-tenant workloads.
Discover
Support
Mentoring
Simplifying
Projection
Advice
Browsing
Inspecting
Because we bring more than visuals. We bring outcomes.
