Supabase MCP can leak your entire SQL database
Supabase MCP'saccess can barge right past RLS,spilling SQL databaseswhen faced with sneaky inputs. It's a cautionary tale from the world ofLLM system trifecta attacks... read more
Updates and recent posts about BigQuery.. Link
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MCP — The Missing Link Between AI Models and Your Applications
Model Context Protocol (MCP)tackles the "MxN problem" in AI by creating a universal handshake for tool interactions. It simplifies howLLMstap into external resources. MCP leans onJSON-RPC 2.0for streamlined dialogues, building modular, maintainable, and secure ecosystems that boast reusable and inte.. read more
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LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI
Dump BLEU and ROUGE. Let LLM-as-a-judge tools like G-Eval propel you to pinpoint accuracy.The old scorers? They whiff on meaning, like a cat batting at a laser dot.DeepEval? It wrangles bleeding-edge metrics with five lines of neat code.Want a personal touch? G-Eval's got your back. DAG keeps benchm.. read more
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Building tiny AI tools for developer productivity
Tiny AI scripts won't make you the next tech billionaire, but they're unbeatable for rescuing hours from the drudgery of repetitive tasks. Whether it's wrangling those dreadedGitHub rollupsor automating the minutiae, these little miracles grant engineers the luxury to actually think... read more
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My Honest Advice for Aspiring Machine Learning Engineers
Becoming a machine learning engineer requires dedicatingat least 10 hours per weekto studying outside of everyday responsibilities. This can take a minimum of two years, even with an ideal background, due to the complexity of the required skills. Understanding core algorithms and mastering the funda.. read more
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Grafana Tempo 2.8 release: memory improvements, new TraceQL features, and more
Grafana Tempo 2.8lands with a bang. Say hello toTraceQL query hints—they bump up results you care about and streamline span searches with parent span IDs. Meanwhile,compactor poolingrevamps slashes memory usage. Kiss those OOM errors goodbye. Important heads-up:serverless features are historyand the.. read more
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Linux 6.16 Performance Regression Tracked Down In New Futex Code
Linux 6.16takes a36% performance nosediveon AMD EPYC 9005 all thanks toFUTEXPRIVATEHASH. The quick fix? Yank it. Engineers scramble for a smarter solution... read more
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Critical Linux “sudo” flaw allows any user to take over the system
Millions of Linux systems are vulnerable to a sudo flaw allowing unauthorized users to run commands as root. The bug affects Ubuntu and Fedora servers, escalates privileges to root, and requires installation of the latest sudo packages for mitigation. The flaw lies in the seldom-used sudo chroot fea.. read more
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Caching is an Abstraction, not an Optimization
Cachingdoes more than rev up performance; it cuts through the chaos of software design, making it tidier and more modular. Sure,LRUandLFUsound like they should open for a prog rock band, but their trusty old formulas stand strong against those wild swings in data access... read more
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Serving 200 million requests per day with a cgi-bin
UsingGoandRustwith CGI-style requests taps into multi-core CPU might, poking fun at long-held CGI inefficiency myths... read more
BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.
Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.
Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).
