https://smjed.net/missions/Recent content in Missions on SMJEDHugoen<a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank" rel="noopener">CC BY-NC 4.0</a>https://smjed.net/missions/observability-stack-audit/Mon, 01 Jan 0001 00:00:00 +0000https://smjed.net/missions/observability-stack-audit/You have dashboards nobody trusts, alerts that fire at 3 AM for no reason, and a Loki bill that keeps climbing. The stack works, technically. But it is not working for your team. This mission is a full-stack audit: ingestion pipelines, query performance, retention policies, label cardinality, and alert quality. I map what you have, find what is broken or wasteful, and hand you a prioritized fix list with impact estimates.https://smjed.net/missions/kubernetes-platform-build/Mon, 01 Jan 0001 00:00:00 +0000https://smjed.net/missions/kubernetes-platform-build/Kubernetes is easy to install and hard to operate well. Most teams end up with a cluster that works for demos but fights them in production: no GitOps, manual deploys that nobody can reproduce, RBAC holes, and zero visibility into what is actually running. This mission builds (or rebuilds) your Kubernetes platform the right way: infrastructure-as-code from day one, GitOps as the deployment model, and operational guardrails that let your team ship without fear.https://smjed.net/missions/proxmox-ceph-ha-platform/Mon, 01 Jan 0001 00:00:00 +0000https://smjed.net/missions/proxmox-ceph-ha-platform/VMware licensing changes pushed a lot of teams to look for alternatives. Proxmox is the answer, but a Proxmox cluster that survives real failure scenarios needs proper Ceph design, network segmentation, quorum tuning, and automated provisioning. A default install will not cut it. This mission delivers a production Proxmox/Ceph platform: HA-configured, properly networked, PXE-automated, and documented well enough for your team to operate independently.https://smjed.net/missions/onprem-ai-operations/Mon, 01 Jan 0001 00:00:00 +0000https://smjed.net/missions/onprem-ai-operations/Every team wants AI-assisted operations. Not every team can send their logs, metrics, and incident data to OpenAI. If you operate under GDPR constraints, data sovereignty requirements, or strict security policies, on-prem AI is not optional. It is the only compliant path. This mission sets up local LLM serving and private RAG pipelines on your existing infrastructure. Your data stays on your hardware. Models run on your GPUs. Nothing leaks.