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@eon01 shared a post, 6 months, 1 week ago
Founder, FAUN.dev

Microk8s vs K3s

Kubernetes k3s MicroK8s Rancher k3d

To truly master Kubernetes, you need a safe sandbox, and running a lightweight distribution is the perfect solution for your local development workflow. These smaller K8s flavors provide a full-featured, yet constrained, environment that is easy on system resources. Both MicroK8s (maintained by Canonical) and k3s (from Rancher) are popular, production-ready options that deliver the core K8s experience with minimal operational burden, low storage needs, and simple networking setups.

These two platforms are fantastic for learning, experimentation, rapid testing, and skill development. If you don't know which one to choose, this post will give you the quick overview you need to decide.

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@kaptain added a new tool k3d , 6 months, 1 week ago.
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@varbear shared a link, 6 months, 1 week ago
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Phishing for AWS Credentials via the New 'aws login' Flow

AWS rolled out a newaws loginCLI command using OAuth 2.0 with PKCE. It grabs short-lived credentials, finally pushing out those dusty long-lived access keys. But here’s the hitch:The remote login flow opens up a phishing gap. Since the CLI session and browser session aren’t bound, attackers could sp.. read more  

Phishing for AWS Credentials via the New 'aws login' Flow
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@varbear shared a link, 6 months, 1 week ago
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SQLite JSON Superpower: Virtual Columns + Indexing - DB Pro Blog

SQLite’sJSON virtual generated columnspunch way above their weight. They let you index JSON fields on the fly, no migrations, no whining. Computed like real columns, queryable like real columns, indexable like real columns. But from JSON. Want flexibility without surrendering speed? This flips the s.. read more  

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@varbear shared a link, 6 months, 1 week ago
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Guarding My Git Forge Against AI Scrapers

To stop a wave of scraping on their self-hosted Forgejo, the author stacked defenses like a firewall architect on caffeine. First camemanual IP rate-limiting. ThenNGINX caching and traffic shaping. Finally:Iocaine 3. That last one didn’t just block bots, it lured them into a maze of junk pages. The .. read more  

Guarding My Git Forge Against AI Scrapers
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@varbear shared a link, 6 months, 1 week ago
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14x Faster Faceted Search in PostgreSQL with ParadeDB

ParadeDB brings Elasticsearch-stylefacetingtoPostgreSQL, ranked search results and filter counts, all in one shot. No extra passes. It pulls this off with a customwindow function, planner hooks, andTantivy's columnar index under the hood. That's how they’re squeezing out10×+ speedupson hefty dataset.. read more  

14x Faster Faceted Search in PostgreSQL with ParadeDB
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@varbear shared a link, 6 months, 1 week ago
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How Reddit Migrated Comments Functionality from Python to Go

Reddit successfully migrated its monolithic, high-traffic Comments service from legacy Python to modern Go microservices with zero user disruption. This was achieved by using a "tap compare" for reads and isolated "sister datastores" for writes, ensuring safe verification of the new code against pro.. read more  

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@varbear shared a link, 6 months, 1 week ago
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Use Python for Scripting!

Shell scripts love to break across macOS and Linux. Blame all the GNU vs BSD quirks;sed,date,readlink, take your pick. The mess adds up fast, especially in build pipelines and CI systems. This post makes the case for a cleaner way:Python 3. Standard library. Predictable behavior. Same results whethe.. read more  

Use Python for Scripting!
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@varbear shared a link, 6 months, 1 week ago
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How We Migrated DB 1 to DB 2 , 1 Billion Records Without Downtime

A team movedover 1 billion production records- no downtime, no drama. The stack: dual writes, Kafka retries, and idempotent inserts to keep it clean. They ranshadow readsto sniff for errors, chunked the transfers with checksums, and held off indexing to keep inserts fast. Caches got warmed early to .. read more  

How We Migrated DB 1 to DB 2 , 1 Billion Records Without Downtime
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@kaptain shared a link, 6 months, 1 week ago
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Why Kubernetes Won: Perfect Timing & Developer Culture

Kubernetes won big because the stars aligned, DevOps took off, Docker exploded, and enterprises finally stopped side-eyeing open source. Then came the institutional tailwind: CNCF pushed hard, GCP bet big, and the rest followed. Kubernetes isn't just tech. It's a new operating model, built in the op.. read more  

GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.

One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.

GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.