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What are Large Language Models and how do they work? A clear, non-technical explainer for managers and engineers — tokens, embeddings, transformers, training and inference — plus production Kubernetes YAML to deploy your own LLM with Ollama and vLLM.
I rebuilt my quarterly UK VAT return as a Claude Code project: read invoices + expenses from Postgres, classify each line by VAT treatment, compute HMRC Box 1 to 9 with a deterministic Python engine, dry-run, then submit to MTD with a human approval gate.
A comprehensive comparison of NebulaDB — an open-source AI-native hybrid database written in Rust — against the category of agent memory platforms. Discover why NebulaDB's multi-protocol architecture, SQL-native vector functions, and streaming RAG pipeline make it the superior choice for most AI workloads.
A support-friendly, SRE-ready overview of Couchbase Server rolling upgrades under the Couchbase Autonomous Operator (CAO), using spec.paused to gate swap-rebalance one node at a time—so you can stabilize, validate health, and keep rollback options open.
Professional overview of NebulaCR: Rust OCI registry with nebula-registry and nebula-auth, zero-trust OIDC for humans and CI, SCIM lifecycle, Prometheus and OpenTelemetry, multi-region replication, pull-through cache, and Kubernetes Helm deployment—synthesised from the upstream docs/ and README.
How NebulaCB, the open-source Couchbase mission control from nebulacb.org, helps enterprises upgrade fearlessly, validate XDCR and data integrity, run Kubernetes-native operations, and use local AI (Ollama) for RCA—so teams ship changes without losing data or sleep.
Leverage AI and machine learning for automated database troubleshooting, anomaly detection, query optimization, and intelligent alerting across MySQL, PostgreSQL, MongoDB, Redis, and Couchbase in production environments.
Complete guide to running Couchbase Server in high availability production environments with XDCR multi-region replication, Couchbase Autonomous Operator on Kubernetes, across AWS, Azure, GCP, and bare metal k3s with Rancher.
Battle-tested database backup strategies for MySQL and PostgreSQL in production. Covers physical and logical backups, PITR, WAL archiving, automated scheduling, cloud storage, and disaster recovery across AWS, Azure, GCP, and k3s.
Complete production guide for Longhorn distributed storage on k3s/Rancher clusters. Covers dynamic PVC expansion, multi-region replication, backup to S3/GCS/Azure, disaster recovery, and performance tuning for database workloads.
