Streamlining Streamlit Performance Optimization: A Deep Dive into Faster Data Apps
Make Streamlit apps fast: understand the rerun model, use st.cache_data and st.cache_resource, fragments, session state and lighter data loading.
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Make Streamlit apps fast: understand the rerun model, use st.cache_data and st.cache_resource, fragments, session state and lighter data loading.
Use infrastructure as code to cut cloud spend: cost estimates in pull requests, tagging, right-sized defaults, scheduled shutdowns and policies.
Open-source container scanners compared: Trivy, Grype and others for image vulnerabilities, adding them to CI/CD, and runtime security beyond scans.
Configure Vector to transform logs: sources, VRL transforms to parse and enrich messages, sinks, and fixes for common configuration problems.
When to hire performance testing consultants: what in-house testing misses, how bottlenecks are found, CI/CD integration and pitfalls.
Build a modern data stack: ingestion, warehouse, dbt transformations, BI and orchestration, layer by layer, with a practical first setup.