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Hands-on guides to AI infrastructure, MLOps, models, and shipping to production.
How a wise developer works a new project — brainstorm, discuss, prototype, diagram, propose, ADR, PR, GitOps — plus Review Bots and Workstation multi-agent teams.
The wise path for a new project: brainstorm, teammate discussion, prototypes, diagrams, proposals, ADRs, small PRs with Review Bots, and GitOps for production-grade quality.
Implement Amazon Bedrock, Bedrock AgentCore, SageMaker, and Amazon Q, then launch a first business agent in Microsoft Teams — with requirements, tooling, and time boxes.
Pair Kubeflow and Argo CD for MLOps on Kubernetes: train and register models in Kubeflow, promote InferenceServices with GitOps, roll back with git revert.
Choose the right Claude model tier: Haiku for fast routing, Sonnet for daily work, Opus for complex agentic coding, and Fable 5 for long-horizon autonomy. Includes a token-budget router blueprint.
Claude Fable 5 is Anthropic's Mythos-class frontier model for long-horizon agents. Community reactions, YouTube reviews, when to use it, and how to save tokens.

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.

Stop default-stack bias. Polyglot Benchmarks compares njs, Lua, Python, Go, Rust, and Bun on the same workloads — reproducible harness + live dashboard for architecture decisions.
Can AI file UK Self Assessment to HMRC? FileMyTax shows bank PDF → extract → classify → calculate → MTD with a human gate. Built by Workstation for CognoAI. Not tax advice.
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.
I unboxed a Mac Studio M4 Max with 128 GB unified memory and 40 GPU cores, installed Ollama, ran Llama 3.1 8B locally, and built a private RAG pipeline - all on one quiet, 6.48 W idle desk-side box.
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.
Complete tour of NebulaDNS features: API-first control plane, Prometheus metrics, propagation gates, peer fingerprinting, DNSSEC roadmap, Helm/k3s operator story, and how to integrate with AWS Route 53 and CoreDNS.
NebulaDNS is a safe-Rust authoritative DNS server with an API-first control plane, Prometheus metrics, propagation gates, and Kubernetes-native operations—built for visibility when AI services and agents depend on DNS more than ever.
Run production AI on AWS Bedrock and Azure AI Foundry with clear patterns for model choice, caching, batching, quotas, and FinOps—so innovation does not blow the cloud bill.
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.