SLOs, SLAs, and error budgets turn reliability into a measurable resource. Learn how to choose SLIs, set realistic targets, calculate error budgets, and implement burn rate alerts with Prometheus.
Compare Grafana Loki, the ELK Stack, and AWS CloudWatch Logs for centralized log management. Understand the architecture, query languages, cost tradeoffs, and which solution fits your team and infrastructure.
OpenTelemetry is the vendor-neutral standard for distributed tracing. Learn the OTel data model, auto-instrumentation, Collector pipelines, tail-based sampling, and how to choose between Jaeger, Tempo, Honeycomb, and Datadog.
Deploy Prometheus and Grafana on Kubernetes using Helm. Learn the pull-based scrape model, PromQL essentials (rate, histogram_quantile, aggregation), Grafana dashboard design, recording rules, and Alertmanager routing.
A practical guide to monitoring LLM applications in production -- input/output logging, cost tracking, quality metrics, and a comparison of LangSmith, Langfuse, and Arize.
End-to-end guide to deploying ML models -- from ONNX export and FastAPI serving to Kubernetes GPU workloads, canary deployments, and Prometheus monitoring.
A practical guide to choosing between prompt engineering and fine-tuning for LLMs -- techniques, costs, LoRA/QLoRA, and a decision framework for production systems.
A practical guide to vector databases -- how embeddings and ANN algorithms work, and an honest comparison of Pinecone, Weaviate, Qdrant, and pgvector.
A practical guide to building Retrieval-Augmented Generation pipelines -- from document chunking and embedding to hybrid retrieval and evaluation metrics.
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