Kubernetes
Production cluster orchestration — MicroK8s on bare metal and managed K8s.
Technologies
What we use daily on client projects and on UpTheMind.io. Not conference slides — production deployments, observability, GitOps.
Kubernetes-first stack on bare metal and in the cloud. GitOps, IaC, observability.
Production cluster orchestration — MicroK8s on bare metal and managed K8s.
Templating and versioning Kubernetes manifests.
GitOps deploy — git is the source of truth, the cluster just executes.
Configuration management for server fleets (master/minion, pillars).
Metrics, alerting, time-series database.
Dashboards and visualization for metrics and logs (Loki).
DNS, CDN, edge security and tunneling.
Git hosting + CI/CD pipelines for production deployments.
Python core, typed JavaScript, polyglot persistence.
Primary language for backend, data pipelines and AI services.
Async REST APIs with automatic OpenAPI documentation.
Typed JavaScript for backend and frontend.
Runtime for real-time services and edge functions.
Primary OLTP database, vector search via pgvector.
Document store for flexible schemas.
Cache, queues and pub/sub messaging.
Production-grade RAG pipelines, agentic workflows, local and cloud inference.
Reasoning model for agents and long-context tasks.
GPT models, embeddings and Whisper for audio.
RAG pipelines and tool-use orchestration.
Vector database for embeddings at scale.
Local LLM inference for sensitive on-prem data.
Static sites, SPAs and enterprise apps. Utility-first CSS.
Content-first sites — this site runs on Astro.
SPAs and interactive components.
Enterprise frontends with strict structure.
Reactive components for mid-size projects.
Utility-first styling, design system in classes.
Fast build tooling and dev server.