Most teams do not need Kubernetes. They need a repeatable way to put a container on a machine, give it a database, and find out when it dies. Once the workloads run, something still has to schedule them, move events between them, and hold the pipeline together when a stage fails. That machinery is where delivery speed is actually won or lost.
Self-hosted mini-PaaS
CurrentRegister SSH-reachable nodes, define an app, and deploy Docker containers to it, with no Kubernetes required. It provisions managed Postgres, Redis, Kafka, and Prometheus with Grafana, injects the connection details into linked services automatically, redeploys on a container-registry webhook, streams logs live, and runs a background health reconciliation loop.
Infrastructure as code across two clouds
CurrentTerraform modules for AWS and DigitalOcean: VPCs and networking, instances, object storage, managed Kubernetes, and a Kafka node, with deployable manifests kept separate from the reusable modules.
Kubernetes operator
A custom resource and its controller on kubebuilder, covering both the standard reconciler pattern and external event sourcing, where events from outside the cluster enter the reconcile loop through a channel-based source.
Function executor and adaptive worker pool
A small function-as-a-service runtime, and a worker pool that sizes itself against the arriving work instead of spawning a goroutine per task.
Scheduler with a real data model
CurrentSchedules hold triggers; triggers fire jobs built from templates with conditional logic and connector integrations. Absolute dates, relative offsets, and recurring intervals, expressed in a scheduling DSL that supports genuine pipelining. A structured replacement for a drawer full of crontabs.
Kafka pipeline DSL
Declare a source topic, a transformation, and a destination topic or external system, then chain the stages. Streaming pipeline logic in Go, for teams that want it without the JVM footprint of Kafka Streams or ksqlDB.
Event-driven workflow engine
PrivateComposable stage definitions over Kafka with reliable delivery semantics, for pipelines where a dropped or duplicated event is a correctness problem rather than a metric.
Low-latency market data ingestion
A broker WebSocket client with binary protocol decoding behind a callback-handler interface, benchmarked for latency across 100k ticks. On top of it, an order management system covering placement, modification, and lifecycle tracking, and a tick-processing engine that runs rule-based strategies.
Global market aggregation
CurrentEvery major index, sector, and currency-adjusted return in one view, with valuation and macro overlays and capital-flow tracking, so the question of where the next unit of capital should go is answerable at a glance instead of out of a filing.
WebRTC selective forwarding unit
A minimal SFU handling multiple simultaneous producers and consumers, with the full signalling lifecycle: RTP capability negotiation, transport creation, and the producer and consumer handshakes. Conferencing infrastructure without a managed service.
API framework and load tooling
A Gin-based framework that exposes Go structs as CRUD endpoints with Rails-style lifecycle hooks around save and action, plus a config-driven parallel HTTP load driver that exercises an API without bespoke client code.