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LATEST FROM MY BLOG
A practical 2026 comparison of Firecracker microVMs and gVisor for secure workload isolation: how each sandbox works, the security and performance trade-offs, and when to choose KVM-based VMs over a userspace kernel.
The hard part is not writing the scraper. It is making it run reliably in production. A step-by-step guide using Playwright, Bright Data Browser API, and Kubernetes Jobs and CronJobs.
A data engineer's review of Bright Data's Dataset Marketplace: why ready-made LinkedIn datasets can save weeks of scraping.
A candid look at what it means to become a Google Cloud Ambassador — Infrastructure in 2026: the real criteria, the community work, and what production GCP experience actually looks like at this level.
What if your RAG pipeline could pull fresh web context right before generating an answer? A step-by-step guide to building a live search retrieval layer with Bright Data's SERP API and Python.
A 2026 fintech messaging case study: how a Kafka backlog, broker disk pressure, and rebalance storm broke checkout, and why Google Cloud Pub/Sub moved the payment flow out of the danger zone.
The hard part is not parsing HTML. It is getting a usable response from modern protected websites in the first place. A step-by-step guide using Bright Data Web Unlocker API with Python and BeautifulSoup.
A practical 2026 guide to moving JWT authentication out of LocalStorage and into HTTP-only cookies with CSRF protection for SPA, SSR, upload, WebSocket, gateway, and mobile scenarios.
A practical 2026 guide to choosing between Python try-except and explicit if-checks: EAFP, bytecode, and performance.
A practical 2026 GitLab hardening playbook for protecting source code, secrets, runners, containers, artifacts, and CI/CD infrastructure from real-world attack paths.
A practical 2026 investigation into how many OS threads the Go runtime keeps alive with GOMAXPROCS=1, using schedtrace, scheddetail, GC settings, and blocking syscalls.
A practical 2026 toolkit for Node.js developers: Fastify, Axios, Prisma, Socket.io, Vite, Vitest, JWT, Dotenv, Pino, and Zod.
A practical 2026 guide to using Joblib for Python processes, threads, memory-mapped arrays, and cached computations without low-level multiprocessing boilerplate.
A practical 2026 Pytest guide for Python developers covering first tests, parametrization, marks, fixtures, pytest.raises, mocks, monkeypatching, and teardown patterns.
A practical 2026 guide to keeping Python dictionaries under control by converting raw JSON into dataclasses, Pydantic models, TypedDict contracts, and clear mapping types.
