The Workstation Blog
DevOps
Posts tagged DevOps.
What is Deep Learning? Workstation Guide for Builders & Business
Workstation rewrite of AWS What is Deep Learning: neural networks, generative AI, vision/speech/NLP/recommendations, and how teams ship DL in the cloud or on Kubernetes.
Balinder WaliaRead 
Kimi K3 & Open Weights: Frontier Agents Without Locked-In APIs
Kimi K3 pushes open-weight models into frontier agent territory. What changed for developers, vLLM serving, MCP, and Workstation production advice.
Balinder WaliaRead 
Claude Opus 5 on AWS: Workstation Guide for Builders & Business
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.
Balinder WaliaRead 
Wise Developer Workflow + Multi-Agent Development Teams
How a wise developer works a new project — brainstorm, discuss, prototype, diagram, propose, ADR, PR, GitOps — plus Review Bots and Workstation multi-agent teams.
Balinder WaliaRead 
How a Wise Developer Works on a New Project
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.
Balinder WaliaRead 
Amazon Bedrock, AgentCore, SageMaker & Q: Agents in Microsoft Teams
Implement Amazon Bedrock, Bedrock AgentCore, SageMaker, and Amazon Q, then launch a first business agent in Microsoft Teams — with requirements, tooling, and time boxes.
Balinder WaliaRead 
Kubeflow + Argo CD: GitOps MLOps on Kubernetes
Pair Kubeflow and Argo CD for MLOps on Kubernetes: train and register models in Kubeflow, promote InferenceServices with GitOps, roll back with git revert.
Balinder WaliaRead 
Large Language Models Explained: How LLMs Work and How to Run Your Own on Kubernetes
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.
Balinder WaliaRead 
Polyglot Benchmarks: Choosing the Right Tool for the Right Job
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.
Balinder WaliaRead 
NebulaDB vs Agent Memory Platforms: Why Open-Source Wins
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.
Balinder WaliaRead