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@ravikyada started using tool Docker , 1 day, 17 hours ago.
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@ravikyada started using tool Amazon Web Services , 1 day, 17 hours ago.
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@varbear shared a link, 3 days, 7 hours ago
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Why are top university websites serving p0rn? It comes down to shoddy housekeeping.

Researcher Alex Shakhov found scammers commandeering staleCNAMErecords. They hijack university subdomains (eg.berkeley.edu,columbia.edu,washu.edu) and serve p0rn and scam pages. Shakhov found hundreds of abused subdomains across at least34universities. He counted thousands of hijacked pages indexed .. read more  

Why are top university websites serving p0rn? It comes down to shoddy housekeeping.
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@varbear shared a link, 3 days, 7 hours ago
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I Decompiled the White House's New App

A React Native app built withExpo SDK 54runsHermes. It talks to a WordPress REST backend and bundles a 5.5MB Hermes bytecode.Its WebView injects JavaScript to strip cookies, GDPR prompts, and paywall dialogs. The build includes OneSignal's fused-location pipeline, polling at 4.5 and 9.5 minutes and.. read more  

I Decompiled the White House's New App
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@varbear shared a link, 3 days, 7 hours ago
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The AWS Lambda 'Kiss of Death'

A Galera writer node froze afterInnoDBundo history ballooned. PooledAWS Lambdaconnections left transactions open and pinned MVCC read views. The team killed stalled sessions, enabledinnodb_undo_log_truncate, and cappedinnodb_max_undo_log_size. They also set sessiontransaction_isolation=READ-COMMITTE.. read more  

The AWS Lambda 'Kiss of Death'
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@varbear shared a link, 3 days, 7 hours ago
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PostgreSQL MVCC, Byte by Byte

PostgreSQL's MVCC stores two 32-bit XIDs per tuple -xminandxmax. The transaction snapshot decides visibility per tuple. Updates append new tuples and mark the old withxmax.VACUUMreclaims versions only when no active snapshot can see them. Long-runningREPEATABLE READsnapshots pin versions and cause b.. read more  

PostgreSQL MVCC, Byte by Byte
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@varbear shared a link, 3 days, 7 hours ago
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How The Heck Does Shazam Work? (An Interactive Exploration)

A phone captures audio and runs aFast Fourier Transform (FFT)on short windows. It builds aspectrogramand extractspeaks. Nearby peak pairs form compacthashes(two frequencies + time delta). Aninverted indexmaps those hashes to songs, and timing validates matches. Most services run lookups onserversaga.. read more  

How The Heck Does Shazam Work? (An Interactive Exploration)
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@kaptain shared a link, 3 days, 7 hours ago
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From public static void main to Golden Kubestronaut: The Art of unlearning

The author left JVM monolith ops forKubernetes. They stacked certs:CKA,CKAD,CKS,KCNA,KCSA,CNCF Golden Kubestronaut. They treatPodsas the atomic deployable. They pick fights:IngressvsNodePort. They warn aboutConfigMapdrift. They spotlight runtime primitives:Horizontal Pod Autoscalerandservice meshfor.. read more  

From public static void main to Golden Kubestronaut: The Art of unlearning
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@kaptain shared a link, 3 days, 7 hours ago
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Building a fault-tolerant metrics storage system at Airbnb

Airbnb built a metrics system that ingests50M samples/s, stores2.5PBof logical time series, and hosts1.3B active series. They use tenant-per-service grouping andshuffle sharding. They enforce per-tenant guardrails and a consolidatedcontrol plane. They shard queries and compaction. They run zone-awar.. read more  

Building a fault-tolerant metrics storage system at Airbnb
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@kaptain shared a link, 3 days, 7 hours ago
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Why MicroVMs: The Architecture Behind Sandboxes

Docker Sandboxes puts each agent session in a dedicatedmicroVM. Each microVM runs a privateDocker daemoninside the VM boundary. That blocks access to the host. A new cross‑platformVMMruns on macOS, Windows, and Linux hypervisors. It slashes cold starts and runs fullDockerbuild, run, and compose work.. read more  

Why MicroVMs: The Architecture Behind Sandboxes
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.