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Posts tagged DevOps.
Kimi K3 pushes open-weight models into frontier agent territory. What changed for developers, vLLM serving, MCP, and Workstation production advice.
Workstation take on Claude Opus 5 on Amazon Bedrock: agentic coding, long-running agents, 1M context, ZDR by default, and how teams should adopt it.
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.

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, Bun, Java, and Kotlin on the same workloads — reproducible harness + live dashboard for architecture decisions.
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.