Remote Ollama access without public ports
Ollama is at its happiest when it is treated like a local daemon: the CLI and your apps talk to a loopback HTTP API, and the rest of the network never finds out it exists.
Queryable JSON logs that connect to traces.
Logs are a debugging interface you can still use when the system is on fire. The problem is that plain text logs age poorly: as soon as you need filtering, aggregation, and alerting, you start parsing sentences.
Compose-first Ollama server with GPU and persistence.
Ollama works great on bare metal. It gets even more interesting when you treat it like a service: a stable endpoint, pinned versions, persistent storage, and a GPU that is either available or it is not.
HTTPS Ollama without breaking streaming responses.
Running Ollama behind a reverse proxy is the simplest way to get HTTPS, optional access control, and predictable streaming behaviour.
RAG embeddings - Python, Ollama, OpenAI APIs.
If you are working through retrieval-augmented generation (RAG), this section walks through text embeddings in plain terms — what they are, how they fit search and retrieval, and how to call two common local setups from Python using Ollama or an OpenAI-compatible HTTP API (as many llama.cpp-based servers expose).
Git-based deploys, CDN, credits, and trade-offs.
Netlify is one of the most developer-friendly ways to ship Hugo sites and modern web apps with a production-grade workflow: preview URLs for every pull request, atomic deploys, a global CDN, and optional serverless and edge capabilities.
Stateful streaming, checkpoints, K8s, PyFlink, Go.
Apache Flink is a framework for stateful computations over unbounded and bounded data streams.
Graphs, Cypher, vectors, and ops hardening.
Neo4j is what you reach for when the relationships are the data. If your domain looks like a whiteboard of circles and arrows, forcing it into tables is painful.
Push URL updates to search engines after deploy.
Static sites and blogs change whenever you deploy. Search engines that support IndexNow can learn about those changes without waiting for the next blind crawl.
Pick hosted email for your domain without regret.
Putting email on your own domain sounds like a weekend DNS task. In practice it is a small distributed system with a twenty-year legacy.
Serve open models fast with SGLang.
SGLang is a high-performance serving framework for large language models and multimodal models, built to deliver low-latency and high-throughput inference across everything from a single GPU to distributed clusters.
Hot-swap local LLMs without changing clients.
Soon you are juggling vLLM, llama.cpp, and more—each stack on its own port. Everything downstream still wants one /v1 base URL; otherwise you keep shuffling ports, profiles, and one-off scripts. llama-swap is the /v1 proxy before those stacks.
Install Kafka 4.2 and stream events in minutes.
Apache Kafka 4.2.0 is the current supported release line, and it’s the best baseline for a modern Quickstart because Kafka 4.x is fully ZooKeeper-free and built around KRaft by default.
What actually happens when you run Ultrawork.
Oh My Opencode promises a “virtual AI dev team” — Sisyphus orchestrating specialists, tasks running in parallel, and the magic ultrawork keyword activating all of it.
OpenCode LLM test — coding and accuracy stats
I have tested how OpenCode works with several locally hosted on Ollama LLMs, and for comparison added some Free models from OpenCode Zen.
Meet Sisyphus and its specialist agent crew.
The biggest capability jump in OpenCode comes from specialised agents: deliberate separation of orchestration, planning, execution, and research.
