Observability at scale
Grafana, Loki, Thanos, Vector, Elasticsearch. Stack audits, ingestion tuning, Fluentd-to-Vector migrations, recording rules, query performance, and SLO dashboarding.
- Grafana
- Loki
- Thanos
- Vector
RetakeData / infrastructure practice
RetakeData helps infrastructure teams regain control of sensitive systems — observability, automation, virtualization, private cloud, and local AI. Designed and operated by a senior SRE with 10+ years on high-stakes platforms.
Hardware to software · Full-stack infrastructure · Bare metal to private AI
On-prem, private-cloud, and hybrid infrastructure engineering. Observability, automation, virtualization, and private AI — for teams that need to keep sensitive workloads under their own control.
Grafana, Loki, Thanos, Vector, Elasticsearch. Stack audits, ingestion tuning, Fluentd-to-Vector migrations, recording rules, query performance, and SLO dashboarding.
Terraform multi-provider modules, Ansible, GitOps delivery pipelines, Consul and NetBox inventory. The automation that lets small teams operate at fleet scale.
100+ Proxmox nodes deployed with PXE automation. Storage backends including ZFS, NFS, SAN, NVMe-oF, and Ceph. Migrations from vSphere, HA cluster design.
Some operational data should not leave your network: incidents, logs, runbooks, internal docs, and procedures. RetakeData builds local AI systems for those environments: vLLM model serving, private RAG pipelines, RBAC-aware assistants, and integrations with your existing Proxmox, observability, and documentation stack. No external API dependency for sensitive workflows, predictable costs, full data control.
Selected infrastructure outcomes and open-source projects are on dedicated pages.
If your team is building on-prem, private-cloud, or hybrid infrastructure for sensitive workloads, let's talk.
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