Here’s something that surprises a lot of people: Many dark web websites are built using the exact same tools and frameworks used by businesses, bloggers, and developers on the regular internet. Most of them are just standard web applications. The front end is usually HTML, CSS, and JavaScript. The back end could be Python, PHP, Node.js, Go, or Java. Databases like MySQL or PostgreSQL are common, and they often run on ordinary Linux servers using Nginx or Apache. The key difference isn’t the website itself, it’s how it’s accessed. Instead of connecting directly through the public internet, users route through the Tor network, which masks the location of both the visitor and the server. When configured as a hidden service, Tor assigns a unique .onion address that can only be accessed through Tor Browser. What’s interesting is that a dark web forum, an e-commerce site, a personal blog, and a corporate website can all be running nearly identical tech stacks. From a purely technical standpoint, there’s nothing fundamentally “special” about the software. The real difficulty isn’t building the website, it’s maintaining anonymity. Many dark web operators are identified not because their systems are “hacked,” but because of operational security failures: reusing usernames, exposing IP addresses through misconfigurations, leaking metadata, or leaving small digital traces that link back to them. So despite how it’s often portrayed in media, the dark web isn’t a parallel internet built on exotic technology. In most cases, it’s just ordinary web infrastructure, hidden behind an anonymity layer instead of being publicly exposed.

DNS, ERP, SIG, timeseries, logs, DCIM, archives de mail, contacts… Même depuis peu les skills et memories de mes agents IA, j'ai mis toute la vie de ma boîte dans PostgreSQL et je n'ai besoin d'aucun autre moteur de base.

Oracle Masterは持っていないけどOracle Databaseは大好き 顧客からライセンス費用を抑えられないかと聞かれたらまっさきにPostgreSQLを考えるけど、やっぱりOracle Databaseが好き Oracle Weblogic Serverは知らない

By forking PostgreSQL and embedding triple-entry accounting BSV tokenisation directly into the database engine, the system can: Ingest real invoices and shipping documents automatically Record them as cryptographically verifiable triple-entry entries Tokenise them on BSV Provide proofs that everything balances and is auditable Integrate with the rest of the ecosystem (payments, access control, NFTs) github.com/prof-faustus/trip…

🚨Critical - Splunk Enterprise PostgreSQL Sidecar Arbitrary File Create/Truncate (CVE-2026-20253) An unauthenticated remote attacker can create or truncate arbitrary files on the server through the PostgreSQL sidecar service endpoint due to missing authentication controls. This critical vulnerability (CVSS 9.8) can lead to data destruction, privilege escalation, or full system compromise. 👉 Affected: Splunk Enterprise < 10.2.4, < 10.0.7 Splunk Cloud Platform < 10.4.2604.3, < 10.2.2510.14 | Upgrade to April 28, 2026 versions

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Creating AI Agents with MCP - Model Context Protocol by Lydia Evelyn and Bruce Hopkins is on sale on Leanpub! Its suggested price is $45.00; get it for $20.30 with this coupon: leanpub.com/mcp/c/LeanPublis… #ai #python #postgresql #javascript #java

PostgreSQL

Managing a PostgreSQL cluster with raw Pods is like making coffee by hand in an office breakroom.👇 Find the mug. Boil water. Measure grounds. Pour milk. Clean up. Miss one step — the whole thing burns. The Kubernetes Operator Pattern is the smart vending machine. You press one button. The machine handles everything else — and if the milk runs low mid-pour, it self-corrects. That button is your CRD. That machine is your Custom Controller. #Kubernetes #DevOps #Platform #SRE

PostgreSQL JDBC Statement Caching vladmihalcea.com/postgresql-…

💻 Hiring: Fintech Fullstack Developer - Otalence 📍 UAE (Residents Eligible) | 💼 Full-time | 🧑‍💻 React/Node/Python/Java/Cloud | 🕐 22 hours ago - June 14, 2026 One of the clients is planning to hire 10 full-stack developers in the coming 2 months. Residents of the UAE are eligible for this opportunity. 🖥️ What You Should Know: - Frontend: React.js / TypeScript, Vue.js, Angular, WebSockets for real-time data - Backend: Node.js / NestJS, Python / FastAPI, Java / Spring Boot, Go, .NET Core - Databases: PostgreSQL, MongoDB, Redis, Cassandra, Elasticsearch, Snowflake - Cloud & DevOps: AWS / GCP / Azure, Kubernetes, Docker, Terraform, CI/CD pipelines - Security: OAuth 2.0, PCI-DSS, AML/KYC systems, Zero Trust Architecture, OWASP - Fintech Domain: Payments (Stripe, SWIFT, ACH, Open Banking), Fraud Detection, Credit Scoring, Blockchain / Web3, AI/ML integration ✅ You're the Right Fit If You Have: - 10 years of hands-on Full Stack experience - Built systems processing $1M in daily transactions - Delivered PCI-DSS or SOC 2 compliant platforms - Led engineering teams on core banking or payment projects - Strong understanding of microservices & event-driven architecture 📩 To apply: Send your CV or referrals to hiring@otalence.com. Ready to make an impact in Fintech? 🔗 Original post: linkedin.com/posts/shah-ahma… ⚠️ DYOR! I don’t verify every job. If someone asks to run files (even from GitHub) or ask for payment 🚩 likely a scam. ❗️ I'm not hiring myself! I just sharing fresh web3/crypto/blockchain roles DAILY for all levels! 💡 For Interns & juniors → t.me/crypto_vazima_english 💼 Mid/senior jobs → t.me/web3_jobs_crypto_vazima #Hiring #Fintech #FullStackDeveloper #ReactJS #NodeJS #Python #Java #Payments #Blockchain #CloudComputing #DevOps #TechJobs #SoftwareEngineering #Otalence #Web3

What This Document Contains This is the definitive single source of truth for the entire TARAS (Toroidal Autonomous Research Agent Swarm) system. It integrates every element from your original agent design notes into one coherent, production-ready instruction set: • Complete operational procedures — deployment, configuration, environment variables, and one-command local startup using the provided docker-compose.yml. • Exact database & vector schemas — node_registry (PostgreSQL), Qdrant collection definitions, and Redis key patterns required for heartbeat monitoring, lost node recovery, and swarm coordination. • Agent registration protocol — how every specialist (stylometric, cosmology, astrophysics, simulation, verification, optimization, self-training daemon, etc.) registers its capabilities and participates in the swarm. • Master orchestration flow — the full LangGraph state machine with planner → torus mapping → spectral analysis → routed specialists → verification → consensus. • Smart routing logic — production-ready smart_route() function with domain detection and length/complexity awareness. • Recursive self-training loop — the complete executable version of your closed training field, including toroidal mapping, FFT-based spectral gap detection, lost node reconstruction, and magnetic/resonant weight updates. • Toroidal lattice implementation — concrete get_toroidal_neighbors() and wrap-around logic for stable cyclic information flow. • Verification & consensus protocol — your weighted scoring formula plus mandatory multi-LLM rule-based voting. • Strict epistemic hygiene rules — the required output format that forces every agent to separate Established Science | Speculative Models | Testable Predictions | Limitations. • Monitoring, maintenance, scaling, security, reproducibility, and extension guidelines — including how to add new domain specialists or simulation capabilities. • File inventory and clear next-step recommendations. @grok grok.com/share/c2hhcmQtMg_50…

Week 22 | Day 43 @ChaiCodeHQ | Building an AI-Powered Code Reviewer 🤖 > Next.js with Shadcn for UI > Better Auth and proxy.ts config > PostgreSQL via Neon > Prisma ORM for management > Foundation for AI-driven code reviews @surajtwt_ @Hiteshdotcom @nirudhuuu @nirudhuuu

Simplify your infrastructure with NServiceBus's PostgreSQL transport. No need for separate message brokers—use PostgreSQL for both data and messaging. docs.particular.net/transpor…

PostgreSQLよく使うのでpgvectorがあるのは便利ねえ

Today years old learning Decimal(65,30) vs (18,2): (65,30): 65 digits, 30 decimals, 35 integers → scientific use, heavy storage (18,2): 18 digits, 2 decimals, 16 integers → financial data, light storage Money = (18,2). Science = (65,30). #Prisma #PostgreSQL #Database #NodeJS

# CVE-2026-20253 Splunk Enterprise/Cloud PostgreSQL Sidecar Exploit Kit @UK_Daniel_Card it's coming 😉

PostgreSQL